sc/inc/scfuncs.hrc | 1038 ++++++++++++++++++++++++++--------------------------- 1 file changed, 519 insertions(+), 519 deletions(-)
New commits: commit 029f2fdc2a164ca5ab2ecb9e2d4b9cf5112083b4 Author: Eike Rathke <er...@redhat.com> Date: Fri Sep 1 14:15:46 2017 +0200 Harmonize capitalization of spreadsheet function UI parameter names Also remove _ underscores in names and few better suiting renaming. Change-Id: Ic0b48f98c0b07404f3e0981d95fa5f3e5aa828f5 diff --git a/sc/inc/scfuncs.hrc b/sc/inc/scfuncs.hrc index b1b64d24dd09..b3a231f6f600 100644 --- a/sc/inc/scfuncs.hrc +++ b/sc/inc/scfuncs.hrc @@ -179,11 +179,11 @@ const char* SC_OPCODE_DB_VAR_P_ARY[] = const char* SC_OPCODE_GET_DATE_ARY[] = { NC_("SC_OPCODE_GET_DATE", "Provides an internal number for the date given."), - NC_("SC_OPCODE_GET_DATE", "year"), + NC_("SC_OPCODE_GET_DATE", "Year"), NC_("SC_OPCODE_GET_DATE", "An integer between 1583 and 9956 or 0 and 99 (19xx or 20xx depending on the defined option)."), - NC_("SC_OPCODE_GET_DATE", "month"), + NC_("SC_OPCODE_GET_DATE", "Month"), NC_("SC_OPCODE_GET_DATE", "An integer between 1 and 12 representing the month."), - NC_("SC_OPCODE_GET_DATE", "day"), + NC_("SC_OPCODE_GET_DATE", "Day"), NC_("SC_OPCODE_GET_DATE", "An integer between 1 and 31 representing the day of the month.") }; @@ -191,7 +191,7 @@ const char* SC_OPCODE_GET_DATE_ARY[] = const char* SC_OPCODE_GET_DATE_VALUE_ARY[] = { NC_("SC_OPCODE_GET_DATE_VALUE", "Returns an internal number for a text having a possible date format."), - NC_("SC_OPCODE_GET_DATE_VALUE", "text"), + NC_("SC_OPCODE_GET_DATE_VALUE", "Text"), NC_("SC_OPCODE_GET_DATE_VALUE", "A text enclosed in quotation marks which returns a date in a %PRODUCTNAME date format.") }; @@ -207,9 +207,9 @@ const char* SC_OPCODE_GET_DAY_ARY[] = const char* SC_OPCODE_GET_DIFF_DATE_360_ARY[] = { NC_("SC_OPCODE_GET_DIFF_DATE_360", "Calculates the number of days between two dates based on a 360-day year."), - NC_("SC_OPCODE_GET_DIFF_DATE_360", "Date_1"), + NC_("SC_OPCODE_GET_DIFF_DATE_360", "Date 1"), NC_("SC_OPCODE_GET_DIFF_DATE_360", "The start date for calculating the difference in days."), - NC_("SC_OPCODE_GET_DIFF_DATE_360", "Date_2"), + NC_("SC_OPCODE_GET_DIFF_DATE_360", "Date 2"), NC_("SC_OPCODE_GET_DIFF_DATE_360", "The end date for calculating the difference in days."), NC_("SC_OPCODE_GET_DIFF_DATE_360", "Type"), NC_("SC_OPCODE_GET_DIFF_DATE_360", "Method used to form differences: Type = 0 denotes US method (NASD), Type = 1 denotes the European method.") @@ -219,13 +219,13 @@ const char* SC_OPCODE_GET_DIFF_DATE_360_ARY[] = const char* SC_OPCODE_NETWORKDAYS_ARY[] = { NC_("SC_OPCODE_NETWORKDAYS", "Returns the number of workdays between two dates using arguments to indicate weekenddays and holidays."), - NC_("SC_OPCODE_NETWORKDAYS", "Start Date"), + NC_("SC_OPCODE_NETWORKDAYS", "Start date"), NC_("SC_OPCODE_NETWORKDAYS", "Start date for calculation."), - NC_("SC_OPCODE_NETWORKDAYS", "End Date"), + NC_("SC_OPCODE_NETWORKDAYS", "End date"), NC_("SC_OPCODE_NETWORKDAYS", "End date for calculation."), - NC_("SC_OPCODE_NETWORKDAYS", "list of dates"), + NC_("SC_OPCODE_NETWORKDAYS", "List of dates"), NC_("SC_OPCODE_NETWORKDAYS", "Optional set of one or more dates to be considered as holiday."), - NC_("SC_OPCODE_NETWORKDAYS", "array"), + NC_("SC_OPCODE_NETWORKDAYS", "Array"), NC_("SC_OPCODE_NETWORKDAYS", "Optional list of numbers to indicate working (0) and weekend (non-zero) days. When omitted, weekend is Saturday and Sunday.") }; @@ -233,13 +233,13 @@ const char* SC_OPCODE_NETWORKDAYS_ARY[] = const char* SC_OPCODE_NETWORKDAYS_MS_ARY[] = { NC_("SC_OPCODE_NETWORKDAYS_MS", "Returns the number of workdays between two dates using arguments to indicate weekend days and holidays."), - NC_("SC_OPCODE_NETWORKDAYS_MS", "Start Date"), + NC_("SC_OPCODE_NETWORKDAYS_MS", "Start date"), NC_("SC_OPCODE_NETWORKDAYS_MS", "Start date for calculation."), - NC_("SC_OPCODE_NETWORKDAYS_MS", "End Date"), + NC_("SC_OPCODE_NETWORKDAYS_MS", "End date"), NC_("SC_OPCODE_NETWORKDAYS_MS", "End date for calculation."), - NC_("SC_OPCODE_NETWORKDAYS_MS", "number or string"), + NC_("SC_OPCODE_NETWORKDAYS_MS", "Number or string"), NC_("SC_OPCODE_NETWORKDAYS_MS", "Optional number or string to indicate when weekends occur. When omitted, weekend is Saturday and Sunday."), - NC_("SC_OPCODE_NETWORKDAYS_MS", "array"), + NC_("SC_OPCODE_NETWORKDAYS_MS", "Array"), NC_("SC_OPCODE_NETWORKDAYS_MS", "Optional set of one or more dates to be considered as holiday.") }; @@ -247,13 +247,13 @@ const char* SC_OPCODE_NETWORKDAYS_MS_ARY[] = const char* SC_OPCODE_WORKDAY_MS_ARY[] = { NC_("SC_OPCODE_WORKDAY_MS", "Returns the serial number of the date before or after a number of workdays using arguments to indicate weekend days and holidays."), - NC_("SC_OPCODE_WORKDAY_MS", "Start Date"), + NC_("SC_OPCODE_WORKDAY_MS", "Start date"), NC_("SC_OPCODE_WORKDAY_MS", "Start date for calculation."), NC_("SC_OPCODE_WORKDAY_MS", "Days"), NC_("SC_OPCODE_WORKDAY_MS", "The number of workdays before or after start date."), - NC_("SC_OPCODE_WORKDAY_MS", "number or string"), + NC_("SC_OPCODE_WORKDAY_MS", "Number or string"), NC_("SC_OPCODE_WORKDAY_MS", "Optional number or string to indicate when weekends occur. When omitted, weekend is Saturday and Sunday."), - NC_("SC_OPCODE_WORKDAY_MS", "array"), + NC_("SC_OPCODE_WORKDAY_MS", "Array"), NC_("SC_OPCODE_WORKDAY_MS", "Optional set of one or more dates to be considered as holiday.") }; @@ -299,11 +299,11 @@ const char*SC_OPCODE_GET_SEC_ARY[] = const char* SC_OPCODE_GET_TIME_ARY[] = { NC_("SC_OPCODE_GET_TIME", "Determines a time value from the details for hour, minute and second."), - NC_("SC_OPCODE_GET_TIME", "hour"), + NC_("SC_OPCODE_GET_TIME", "Hour"), NC_("SC_OPCODE_GET_TIME", "The integer for the hour."), - NC_("SC_OPCODE_GET_TIME", "minute"), + NC_("SC_OPCODE_GET_TIME", "Minute"), NC_("SC_OPCODE_GET_TIME", "The integer for the minute."), - NC_("SC_OPCODE_GET_TIME", "second"), + NC_("SC_OPCODE_GET_TIME", "Second"), NC_("SC_OPCODE_GET_TIME", "The integer for the second.") }; @@ -311,7 +311,7 @@ const char* SC_OPCODE_GET_TIME_ARY[] = const char* SC_OPCODE_GET_TIME_VALUE_ARY[] = { NC_("SC_OPCODE_GET_TIME_VALUE", "Returns a sequential number for a text shown in a possible time entry format."), - NC_("SC_OPCODE_GET_TIME_VALUE", "text"), + NC_("SC_OPCODE_GET_TIME_VALUE", "Text"), NC_("SC_OPCODE_GET_TIME_VALUE", "A text enclosed in quotation marks which returns a time in a %PRODUCTNAME time format.") }; @@ -343,9 +343,9 @@ const char* SC_OPCODE_GET_YEAR_ARY[] = const char* SC_OPCODE_GET_DIFF_DATE_ARY[] = { NC_("SC_OPCODE_GET_DIFF_DATE", "Calculates the number of days between two dates."), - NC_("SC_OPCODE_GET_DIFF_DATE", "Date_2"), + NC_("SC_OPCODE_GET_DIFF_DATE", "Date 2"), NC_("SC_OPCODE_GET_DIFF_DATE", "The end date for calculating the difference in days."), - NC_("SC_OPCODE_GET_DIFF_DATE", "Date_1"), + NC_("SC_OPCODE_GET_DIFF_DATE", "Date 1"), NC_("SC_OPCODE_GET_DIFF_DATE", "The start date for calculating the difference in days.") }; @@ -367,7 +367,7 @@ const char* SC_OPCODE_WEEK_ARY[] = NC_("SC_OPCODE_WEEK", "Calculates the calendar week corresponding to the given date."), NC_("SC_OPCODE_WEEK", "Number"), NC_("SC_OPCODE_WEEK", "The internal number of the date."), - NC_("SC_OPCODE_WEEK", "mode"), + NC_("SC_OPCODE_WEEK", "Mode"), NC_("SC_OPCODE_WEEK", "Indicates the first day of the week and when week 1 starts.") }; @@ -384,7 +384,7 @@ const char* SC_OPCODE_WEEKNUM_OOO_ARY[] = NC_("SC_OPCODE_WEEKNUM_OOO", "Calculates the calendar week corresponding to the given date.\nThis function only provides interoperability with %PRODUCTNAME 5.0 and earlier and OpenOffice.org."), NC_("SC_OPCODE_WEEKNUM_OOO", "Number"), NC_("SC_OPCODE_WEEKNUM_OOO", "The internal number of the date."), - NC_("SC_OPCODE_WEEKNUM_OOO", "mode"), + NC_("SC_OPCODE_WEEKNUM_OOO", "Mode"), NC_("SC_OPCODE_WEEKNUM_OOO", "Indicates the first day of the week (1 = Sunday, other values = Monday).") }; @@ -392,7 +392,7 @@ const char* SC_OPCODE_WEEKNUM_OOO_ARY[] = const char* SC_OPCODE_EASTERSUNDAY_ARY[] = { NC_("SC_OPCODE_EASTERSUNDAY", "Calculates the date of Easter Sunday in a given year."), - NC_("SC_OPCODE_EASTERSUNDAY", "year"), + NC_("SC_OPCODE_EASTERSUNDAY", "Year"), NC_("SC_OPCODE_EASTERSUNDAY", "An integer between 1583 and 9956, or 0 and 99 (19xx or 20xx depending on the option set).") }; @@ -488,7 +488,7 @@ const char* SC_OPCODE_IPMT_ARY[] = NC_("SC_OPCODE_IPMT", "Periods. The periods for which the compounded interest is to be calculated. P = 1 denotes for the first period, P = NPER for the last one."), NC_("SC_OPCODE_IPMT", "NPER"), NC_("SC_OPCODE_IPMT", "Payment period. The total number of periods in which the annuity (pension) is paid."), - NC_("SC_OPCODE_IPMT", "pv"), + NC_("SC_OPCODE_IPMT", "PV"), NC_("SC_OPCODE_IPMT", "Present value. The current value of a series of payments"), NC_("SC_OPCODE_IPMT", "FV"), NC_("SC_OPCODE_IPMT", "Future value. The value (end value) to be attained after the final payment."), @@ -517,7 +517,7 @@ const char* SC_OPCODE_PPMT_ARY[] = // -=*# Resource for function CUMPRINC #*=- const char* SC_OPCODE_CUM_PRINC_ARY[] = { - NC_("SC_OPCODE_CUM_PRINC", "Cumulative Capital. Calculates the total amount of the repayment share in a period for an investment with constant interest rate."), + NC_("SC_OPCODE_CUM_PRINC", "Cumulative capital. Calculates the total amount of the repayment share in a period for an investment with constant interest rate."), NC_("SC_OPCODE_CUM_PRINC", "Rate"), NC_("SC_OPCODE_CUM_PRINC", "The rate of interest per period."), NC_("SC_OPCODE_CUM_PRINC", "NPER"), @@ -540,7 +540,7 @@ const char* SC_OPCODE_CUM_IPMT_ARY[] = NC_("SC_OPCODE_CUM_IPMT", "The rate of interest per period."), NC_("SC_OPCODE_CUM_IPMT", "NPER"), NC_("SC_OPCODE_CUM_IPMT", "Payment period. The total number of periods in which the annuity (pension) is paid."), - NC_("SC_OPCODE_CUM_IPMT", "pv"), + NC_("SC_OPCODE_CUM_IPMT", "PV"), NC_("SC_OPCODE_CUM_IPMT", "The present value. The present value or the amount the annuity is currently worth."), NC_("SC_OPCODE_CUM_IPMT", "S"), NC_("SC_OPCODE_CUM_IPMT", "The start period. The first period to be taken into account. S = 1 denotes the very first period."), @@ -604,7 +604,7 @@ const char* SC_OPCODE_DB_ARY[] = NC_("SC_OPCODE_DB", "Useful life. The number of periods in the useful life of the asset."), NC_("SC_OPCODE_DB", "Period"), NC_("SC_OPCODE_DB", "Periods: The period for which the depreciation is calculated. The time unit used for period must be the same as that for the useful life."), - NC_("SC_OPCODE_DB", "month"), + NC_("SC_OPCODE_DB", "Month"), NC_("SC_OPCODE_DB", "Months: The number of months in the first year of depreciation.") }; @@ -618,12 +618,12 @@ const char* SC_OPCODE_VBD_ARY[] = NC_("SC_OPCODE_VBD", "Salvage. The salvage value of an asset at the end of its useful life."), NC_("SC_OPCODE_VBD", "Life"), NC_("SC_OPCODE_VBD", "Useful life. The number of periods in the useful life of the asset."), - NC_("SC_OPCODE_VBD", "S"), + NC_("SC_OPCODE_VBD", "Start"), NC_("SC_OPCODE_VBD", "Start. The first period for depreciation in the same time unit as the useful life."), - NC_("SC_OPCODE_VBD", "end"), + NC_("SC_OPCODE_VBD", "End"), NC_("SC_OPCODE_VBD", "End. The last period of the depreciation using the same time unit as for the useful life."), NC_("SC_OPCODE_VBD", "Factor"), - NC_("SC_OPCODE_VBD", "Factor. The factor for the reduction of the depreciation. F = 2 denotes double rate depreciation."), + NC_("SC_OPCODE_VBD", "Factor. The factor for the reduction of the depreciation. Factor = 2 denotes double rate depreciation."), NC_("SC_OPCODE_VBD", "Type"), NC_("SC_OPCODE_VBD", "Do not alter. Type = 1 denotes switch to linear depreciation, type = 0 do not switch.") }; @@ -633,7 +633,7 @@ const char* SC_OPCODE_EFFECT_ARY[] = { NC_("SC_OPCODE_EFFECT", "Calculates the annual net interest rate for a nominal interest rate."), NC_("SC_OPCODE_EFFECT", "NOM"), - NC_("SC_OPCODE_EFFECT", "Nominal Interest"), + NC_("SC_OPCODE_EFFECT", "Nominal interest"), NC_("SC_OPCODE_EFFECT", "P"), NC_("SC_OPCODE_EFFECT", "Periods. The number of interest payments per year.") }; @@ -642,9 +642,9 @@ const char* SC_OPCODE_EFFECT_ARY[] = const char* SC_OPCODE_NOMINAL_ARY[] = { NC_("SC_OPCODE_NOMINAL", "Calculates the yearly nominal interest rate as an effective interest rate."), - NC_("SC_OPCODE_NOMINAL", "effect_rate"), + NC_("SC_OPCODE_NOMINAL", "Effective rate"), NC_("SC_OPCODE_NOMINAL", "The effective interest rate"), - NC_("SC_OPCODE_NOMINAL", "npery"), + NC_("SC_OPCODE_NOMINAL", "NPER"), NC_("SC_OPCODE_NOMINAL", "Periods. The number of interest payment per year.") }; @@ -652,9 +652,9 @@ const char* SC_OPCODE_NOMINAL_ARY[] = const char* SC_OPCODE_NPV_ARY[] = { NC_("SC_OPCODE_NPV", "Net present value. Calculates the net present value of an investment based on a series of periodic payments and a discount rate."), - NC_("SC_OPCODE_NPV", "RATE"), + NC_("SC_OPCODE_NPV", "Rate"), NC_("SC_OPCODE_NPV", "The rate of discount for one period."), - NC_("SC_OPCODE_NPV", "value "), + NC_("SC_OPCODE_NPV", "Value "), NC_("SC_OPCODE_NPV", "Value 1, value 2,... are arguments representing payments and income.") }; @@ -674,23 +674,23 @@ const char* SC_OPCODE_MIRR_ARY[] = NC_("SC_OPCODE_MIRR", "Returns the modified internal rate of return for a series of investments."), NC_("SC_OPCODE_MIRR", "Values"), NC_("SC_OPCODE_MIRR", "An array or reference to cells whose contents correspond to the payments."), - NC_("SC_OPCODE_MIRR", "investment"), + NC_("SC_OPCODE_MIRR", "Investment"), NC_("SC_OPCODE_MIRR", "Interest rate for investments (the negative values in the array)."), - NC_("SC_OPCODE_MIRR", "reinvest_rate"), - NC_("SC_OPCODE_MIRR", "interest rate for reinvestments (the positive values in the array).") + NC_("SC_OPCODE_MIRR", "Reinvest rate"), + NC_("SC_OPCODE_MIRR", "Interest rate for reinvestments (the positive values in the array).") }; // -=*# Resource for function ISPMT #*=- const char* SC_OPCODE_ISPMT_ARY[] = { NC_("SC_OPCODE_ISPMT", "Returns the amount of interest for constant amortization rates."), - NC_("SC_OPCODE_ISPMT", "rate"), + NC_("SC_OPCODE_ISPMT", "Rate"), NC_("SC_OPCODE_ISPMT", "Interest rate for a single amortization rate."), NC_("SC_OPCODE_ISPMT", "Period"), NC_("SC_OPCODE_ISPMT", "Number of amortization periods for the calculation of the interest."), - NC_("SC_OPCODE_ISPMT", "total_periods"), + NC_("SC_OPCODE_ISPMT", "Total periods"), NC_("SC_OPCODE_ISPMT", "Sum total of amortization periods."), - NC_("SC_OPCODE_ISPMT", "invest"), + NC_("SC_OPCODE_ISPMT", "Investment"), NC_("SC_OPCODE_ISPMT", "Amount of the investment.") }; @@ -698,9 +698,9 @@ const char* SC_OPCODE_ISPMT_ARY[] = const char* SC_OPCODE_PDURATION_ARY[] = { NC_("SC_OPCODE_PDURATION", "Duration. Calculates the number of periods required by an investment to attain the desired value."), - NC_("SC_OPCODE_PDURATION", "RATE"), + NC_("SC_OPCODE_PDURATION", "Rate"), NC_("SC_OPCODE_PDURATION", "The constant rate of interest."), - NC_("SC_OPCODE_PDURATION", "pv"), + NC_("SC_OPCODE_PDURATION", "PV"), NC_("SC_OPCODE_PDURATION", "The present value. The current value of the investment."), NC_("SC_OPCODE_PDURATION", "FV"), NC_("SC_OPCODE_PDURATION", "The future value of the investment.") @@ -710,9 +710,9 @@ const char* SC_OPCODE_PDURATION_ARY[] = const char* SC_OPCODE_RRI_ARY[] = { NC_("SC_OPCODE_RRI", "Interest. Calculates the interest rate which represents the rate of return from an investment."), - NC_("SC_OPCODE_RRI", "P"), + NC_("SC_OPCODE_RRI", "Periods"), NC_("SC_OPCODE_RRI", "The number of periods used in the calculation."), - NC_("SC_OPCODE_RRI", "pv"), + NC_("SC_OPCODE_RRI", "PV"), NC_("SC_OPCODE_RRI", "Present value. The current value of the investment."), NC_("SC_OPCODE_RRI", "FV"), NC_("SC_OPCODE_RRI", "The future value of the investment.") @@ -722,7 +722,7 @@ const char* SC_OPCODE_RRI_ARY[] = const char* SC_OPCODE_IS_REF_ARY[] = { NC_("SC_OPCODE_IS_REF", "Returns TRUE if value is a reference."), - NC_("SC_OPCODE_IS_REF", "value"), + NC_("SC_OPCODE_IS_REF", "Value"), NC_("SC_OPCODE_IS_REF", "The value to be tested.") }; @@ -730,7 +730,7 @@ const char* SC_OPCODE_IS_REF_ARY[] = const char* SC_OPCODE_IS_ERR_ARY[] = { NC_("SC_OPCODE_IS_ERR", "Returns TRUE if the value is an error value not equal to #N/A."), - NC_("SC_OPCODE_IS_ERR", "value"), + NC_("SC_OPCODE_IS_ERR", "Value"), NC_("SC_OPCODE_IS_ERR", "The value to be tested.") }; @@ -738,7 +738,7 @@ const char* SC_OPCODE_IS_ERR_ARY[] = const char* SC_OPCODE_IS_ERROR_ARY[] = { NC_("SC_OPCODE_IS_ERROR", "Returns TRUE if the value is an error value."), - NC_("SC_OPCODE_IS_ERROR", "value"), + NC_("SC_OPCODE_IS_ERROR", "Value"), NC_("SC_OPCODE_IS_ERROR", "The value to be tested.") }; @@ -746,7 +746,7 @@ const char* SC_OPCODE_IS_ERROR_ARY[] = const char* SC_OPCODE_IS_EMPTY_ARY[] = { NC_("SC_OPCODE_IS_EMPTY", "Returns TRUE if value refers to an empty cell."), - NC_("SC_OPCODE_IS_EMPTY", "value"), + NC_("SC_OPCODE_IS_EMPTY", "Value"), NC_("SC_OPCODE_IS_EMPTY", "The value to be tested.") }; @@ -754,7 +754,7 @@ const char* SC_OPCODE_IS_EMPTY_ARY[] = const char* SC_OPCODE_IS_LOGICAL_ARY[] = { NC_("SC_OPCODE_IS_LOGICAL", "Returns TRUE if the value carries a logical number format."), - NC_("SC_OPCODE_IS_LOGICAL", "value"), + NC_("SC_OPCODE_IS_LOGICAL", "Value"), NC_("SC_OPCODE_IS_LOGICAL", "The value to be tested.") }; @@ -762,7 +762,7 @@ const char* SC_OPCODE_IS_LOGICAL_ARY[] = const char* SC_OPCODE_IS_NV_ARY[] = { NC_("SC_OPCODE_IS_NV", "Returns TRUE if value equals #N/A."), - NC_("SC_OPCODE_IS_NV", "value"), + NC_("SC_OPCODE_IS_NV", "Value"), NC_("SC_OPCODE_IS_NV", "The value to be tested.") }; @@ -770,7 +770,7 @@ const char* SC_OPCODE_IS_NV_ARY[] = const char* SC_OPCODE_IS_NON_STRING_ARY[] = { NC_("SC_OPCODE_IS_NON_STRING", "Returns TRUE if the value is not text."), - NC_("SC_OPCODE_IS_NON_STRING", "value"), + NC_("SC_OPCODE_IS_NON_STRING", "Value"), NC_("SC_OPCODE_IS_NON_STRING", "The value to be tested.") }; @@ -778,7 +778,7 @@ const char* SC_OPCODE_IS_NON_STRING_ARY[] = const char* SC_OPCODE_IS_STRING_ARY[] = { NC_("SC_OPCODE_IS_STRING", "Returns TRUE if value is text."), - NC_("SC_OPCODE_IS_STRING", "value"), + NC_("SC_OPCODE_IS_STRING", "Value"), NC_("SC_OPCODE_IS_STRING", "The value to be tested.") }; @@ -786,7 +786,7 @@ const char* SC_OPCODE_IS_STRING_ARY[] = const char* SC_OPCODE_IS_VALUE_ARY[] = { NC_("SC_OPCODE_IS_VALUE", "Returns TRUE if value is a number."), - NC_("SC_OPCODE_IS_VALUE", "value"), + NC_("SC_OPCODE_IS_VALUE", "Value"), NC_("SC_OPCODE_IS_VALUE", "The value to be tested.") }; @@ -794,8 +794,8 @@ const char* SC_OPCODE_IS_VALUE_ARY[] = const char* SC_OPCODE_IS_FORMULA_ARY[] = { NC_("SC_OPCODE_IS_FORMULA", "Returns TRUE if the cell is a formula cell."), - NC_("SC_OPCODE_IS_FORMULA", "reference"), - NC_("SC_OPCODE_IS_FORMULA", "The cell to be checked.") + NC_("SC_OPCODE_IS_FORMULA", "Reference"), + NC_("SC_OPCODE_IS_FORMULA", "The cell to be tested.") }; // -=*# Resource for function FORMULA #*=- @@ -810,7 +810,7 @@ const char* SC_OPCODE_FORMULA_ARY[] = const char* SC_OPCODE_N_ARY[] = { NC_("SC_OPCODE_N", "Converts a value to a number."), - NC_("SC_OPCODE_N", "value"), + NC_("SC_OPCODE_N", "Value"), NC_("SC_OPCODE_N", "The value to be interpreted as a number.") }; @@ -824,7 +824,7 @@ const char* SC_OPCODE_NO_VALUE_ARY[] = const char* SC_OPCODE_TYPE_ARY[] = { NC_("SC_OPCODE_TYPE", "Returns the data type of a value (1 = number, 2 = text, 4 = Boolean value, 8 = formula, 16 = error value, 64 = array)."), - NC_("SC_OPCODE_TYPE", "value"), + NC_("SC_OPCODE_TYPE", "Value"), NC_("SC_OPCODE_TYPE", "The value for which the data type is to be determined.") }; @@ -832,7 +832,7 @@ const char* SC_OPCODE_TYPE_ARY[] = const char* SC_OPCODE_CELL_ARY[] = { NC_("SC_OPCODE_CELL", "Determines information about address, formatting or contents of a cell."), - NC_("SC_OPCODE_CELL", "info_type"), + NC_("SC_OPCODE_CELL", "Info type"), NC_("SC_OPCODE_CELL", "String that specifies the type of information."), NC_("SC_OPCODE_CELL", "Reference"), NC_("SC_OPCODE_CELL", "The position of the cell you want to examine.") @@ -870,9 +870,9 @@ const char* SC_OPCODE_IF_ARY[] = NC_("SC_OPCODE_IF", "Specifies a logical test to be performed."), NC_("SC_OPCODE_IF", "Test"), NC_("SC_OPCODE_IF", "Any value or expression which can be either TRUE or FALSE."), - NC_("SC_OPCODE_IF", "Then_value"), + NC_("SC_OPCODE_IF", "Then value"), NC_("SC_OPCODE_IF", "The result of the function if the logical test returns a TRUE."), - NC_("SC_OPCODE_IF", "Otherwise_value"), + NC_("SC_OPCODE_IF", "Otherwise value"), NC_("SC_OPCODE_IF", "The result of the function if the logical test returns FALSE.") }; @@ -880,9 +880,9 @@ const char* SC_OPCODE_IF_ARY[] = const char* SC_OPCODE_IF_ERROR_ARY[] = { NC_("SC_OPCODE_IF_ERROR", "Returns value if not an error value, else alternative."), - NC_("SC_OPCODE_IF_ERROR", "value"), + NC_("SC_OPCODE_IF_ERROR", "Value"), NC_("SC_OPCODE_IF_ERROR", "The value to be calculated."), - NC_("SC_OPCODE_IF_ERROR", "alternative value"), + NC_("SC_OPCODE_IF_ERROR", "Alternative value"), NC_("SC_OPCODE_IF_ERROR", "The alternative to be returned, should value be an error value.") }; @@ -890,9 +890,9 @@ const char* SC_OPCODE_IF_ERROR_ARY[] = const char* SC_OPCODE_IF_NA_ARY[] = { NC_("SC_OPCODE_IF_NA", "Returns value if not a #N/A error, else alternative."), - NC_("SC_OPCODE_IF_NA", "value"), + NC_("SC_OPCODE_IF_NA", "Value"), NC_("SC_OPCODE_IF_NA", "The value to be calculated."), - NC_("SC_OPCODE_IF_NA", "alternative value"), + NC_("SC_OPCODE_IF_NA", "Alternative value"), NC_("SC_OPCODE_IF_NA", "The alternative to be returned, should value be a #N/A error.") }; @@ -942,7 +942,7 @@ const char* SC_OPCODE_POWER_ARY[] = const char* SC_OPCODE_COUNT_EMPTY_CELLS_ARY[] = { NC_("SC_OPCODE_COUNT_EMPTY_CELLS", "Counts the blank cells in a specified range."), - NC_("SC_OPCODE_COUNT_EMPTY_CELLS", "range"), + NC_("SC_OPCODE_COUNT_EMPTY_CELLS", "Range"), NC_("SC_OPCODE_COUNT_EMPTY_CELLS", "The range in which empty cells are to be counted.") }; @@ -956,7 +956,7 @@ const char* SC_OPCODE_PI_ARY[] = const char* SC_OPCODE_SUM_ARY[] = { NC_("SC_OPCODE_SUM", "Returns the sum of all arguments."), - NC_("SC_OPCODE_SUM", "number "), + NC_("SC_OPCODE_SUM", "Number "), NC_("SC_OPCODE_SUM", "Number 1, number 2, ... are arguments whose total is to be calculated.") }; @@ -964,7 +964,7 @@ const char* SC_OPCODE_SUM_ARY[] = const char* SC_OPCODE_SUM_SQ_ARY[] = { NC_("SC_OPCODE_SUM_SQ", "Returns the sum of the squares of the arguments."), - NC_("SC_OPCODE_SUM_SQ", "number "), + NC_("SC_OPCODE_SUM_SQ", "Number "), NC_("SC_OPCODE_SUM_SQ", "Number 1, number 2,... are arguments for which the sum of the squares is to be calculated.") }; @@ -980,11 +980,11 @@ const char* SC_OPCODE_PRODUCT_ARY[] = const char* SC_OPCODE_SUM_IF_ARY[] = { NC_("SC_OPCODE_SUM_IF", "Totals the arguments that meet the condition."), - NC_("SC_OPCODE_SUM_IF", "range"), + NC_("SC_OPCODE_SUM_IF", "Range"), NC_("SC_OPCODE_SUM_IF", "The range to be evaluated by the criteria given."), - NC_("SC_OPCODE_SUM_IF", "criteria"), + NC_("SC_OPCODE_SUM_IF", "Criteria"), NC_("SC_OPCODE_SUM_IF", "The criteria to be applied to the range."), - NC_("SC_OPCODE_SUM_IF", "sum_range"), + NC_("SC_OPCODE_SUM_IF", "Sum range"), NC_("SC_OPCODE_SUM_IF", "The range from which the values are to be totalled.") }; @@ -992,22 +992,22 @@ const char* SC_OPCODE_SUM_IF_ARY[] = const char* SC_OPCODE_AVERAGE_IF_ARY[] = { NC_("SC_OPCODE_AVERAGE_IF", "Averages the arguments that meet the conditions."), - NC_("SC_OPCODE_AVERAGE_IF", "range"), + NC_("SC_OPCODE_AVERAGE_IF", "Range"), NC_("SC_OPCODE_AVERAGE_IF", "The range to be evaluated by the criteria given."), - NC_("SC_OPCODE_AVERAGE_IF", "criteria"), + NC_("SC_OPCODE_AVERAGE_IF", "Criteria"), NC_("SC_OPCODE_AVERAGE_IF", "The criteria to be applied to the range."), - NC_("SC_OPCODE_AVERAGE_IF", "average_range"), + NC_("SC_OPCODE_AVERAGE_IF", "Average range"), NC_("SC_OPCODE_AVERAGE_IF", "The range from which the values are to be averaged.") }; const char* SC_OPCODE_SUM_IFS_ARY[] = { NC_("SC_OPCODE_SUM_IFS", "Totals the values of cells in a range that meet multiple criteria in multiple ranges."), - NC_("SC_OPCODE_SUM_IFS", "sum_range"), + NC_("SC_OPCODE_SUM_IFS", "Sum range"), NC_("SC_OPCODE_SUM_IFS", "The range from which the values are to be totalled."), - NC_("SC_OPCODE_SUM_IFS", "range "), + NC_("SC_OPCODE_SUM_IFS", "Range "), NC_("SC_OPCODE_SUM_IFS", "Range 1, range 2,... are the ranges to be evaluated by the criteria given."), - NC_("SC_OPCODE_SUM_IFS", "criteria "), + NC_("SC_OPCODE_SUM_IFS", "Criteria "), NC_("SC_OPCODE_SUM_IFS", "Criteria 1, criteria 2,... are the criteria to be applied to the ranges given.") }; @@ -1015,11 +1015,11 @@ const char* SC_OPCODE_SUM_IFS_ARY[] = const char* SC_OPCODE_AVERAGE_IFS_ARY[] = { NC_("SC_OPCODE_AVERAGE_IFS", "Averages the value of the cells that meet multiple criteria in multiple ranges."), - NC_("SC_OPCODE_AVERAGE_IFS", "average_range"), + NC_("SC_OPCODE_AVERAGE_IFS", "Average range"), NC_("SC_OPCODE_AVERAGE_IFS", "The range from which the values are to be averaged."), - NC_("SC_OPCODE_AVERAGE_IFS", "range "), + NC_("SC_OPCODE_AVERAGE_IFS", "Range "), NC_("SC_OPCODE_AVERAGE_IFS", "Range 1, range 2,... are the ranges to be evaluated by the criteria given."), - NC_("SC_OPCODE_AVERAGE_IFS", "criteria "), + NC_("SC_OPCODE_AVERAGE_IFS", "Criteria "), NC_("SC_OPCODE_AVERAGE_IFS", "Criteria 1, criteria 2,... are the criteria to be applied to the ranges given.") }; @@ -1027,9 +1027,9 @@ const char* SC_OPCODE_AVERAGE_IFS_ARY[] = const char* SC_OPCODE_COUNT_IFS_ARY[] = { NC_("SC_OPCODE_COUNT_IFS", "Counts the cells that meet multiple criteria in multiple ranges."), - NC_("SC_OPCODE_COUNT_IFS", "range "), + NC_("SC_OPCODE_COUNT_IFS", "Range "), NC_("SC_OPCODE_COUNT_IFS", "Range 1, range 2,... are the ranges to be evaluated by the criteria given."), - NC_("SC_OPCODE_COUNT_IFS", "criteria "), + NC_("SC_OPCODE_COUNT_IFS", "Criteria "), NC_("SC_OPCODE_COUNT_IFS", "Criteria 1, criteria 2,... are the criteria to be applied to the ranges given.") }; @@ -1037,9 +1037,9 @@ const char* SC_OPCODE_COUNT_IFS_ARY[] = const char* SC_OPCODE_COUNT_IF_ARY[] = { NC_("SC_OPCODE_COUNT_IF", "Counts the arguments which meet the set conditions."), - NC_("SC_OPCODE_COUNT_IF", "range"), + NC_("SC_OPCODE_COUNT_IF", "Range"), NC_("SC_OPCODE_COUNT_IF", "The range of cells to be evaluated by the criteria given."), - NC_("SC_OPCODE_COUNT_IF", "criteria"), + NC_("SC_OPCODE_COUNT_IF", "Criteria"), NC_("SC_OPCODE_COUNT_IF", "The criteria to be applied to the range.") }; @@ -1047,7 +1047,7 @@ const char* SC_OPCODE_COUNT_IF_ARY[] = const char* SC_OPCODE_SQRT_ARY[] = { NC_("SC_OPCODE_SQRT", "Returns the square root of a number."), - NC_("SC_OPCODE_SQRT", "number"), + NC_("SC_OPCODE_SQRT", "Number"), NC_("SC_OPCODE_SQRT", "A positive value for which the square root is to be calculated.") }; @@ -1061,7 +1061,7 @@ const char* SC_OPCODE_RANDOM_ARY[] = const char* SC_OPCODE_IS_EVEN_ARY[] = { NC_("SC_OPCODE_IS_EVEN", "Returns TRUE if value is an even integer."), - NC_("SC_OPCODE_IS_EVEN", "value"), + NC_("SC_OPCODE_IS_EVEN", "Value"), NC_("SC_OPCODE_IS_EVEN", "The value to be tested.") }; @@ -1069,7 +1069,7 @@ const char* SC_OPCODE_IS_EVEN_ARY[] = const char* SC_OPCODE_IS_ODD_ARY[] = { NC_("SC_OPCODE_IS_ODD", "Returns TRUE if value is an odd integer."), - NC_("SC_OPCODE_IS_ODD", "value"), + NC_("SC_OPCODE_IS_ODD", "Value"), NC_("SC_OPCODE_IS_ODD", "The value to be tested.") }; @@ -1077,9 +1077,9 @@ const char* SC_OPCODE_IS_ODD_ARY[] = const char* SC_OPCODE_COMBIN_ARY[] = { NC_("SC_OPCODE_COMBIN", "Calculates the number of combinations for elements without repetition."), - NC_("SC_OPCODE_COMBIN", "number_1"), + NC_("SC_OPCODE_COMBIN", "Number 1"), NC_("SC_OPCODE_COMBIN", "The total number of elements."), - NC_("SC_OPCODE_COMBIN", "number_2"), + NC_("SC_OPCODE_COMBIN", "Number 2"), NC_("SC_OPCODE_COMBIN", "The number of elements selected.") }; @@ -1087,9 +1087,9 @@ const char* SC_OPCODE_COMBIN_ARY[] = const char* SC_OPCODE_COMBIN_A_ARY[] = { NC_("SC_OPCODE_COMBIN_A", "Calculates the number of combinations of elements including repetition."), - NC_("SC_OPCODE_COMBIN_A", "number_1"), + NC_("SC_OPCODE_COMBIN_A", "Number 1"), NC_("SC_OPCODE_COMBIN_A", "The total number of elements."), - NC_("SC_OPCODE_COMBIN_A", "number_2"), + NC_("SC_OPCODE_COMBIN_A", "Number 2"), NC_("SC_OPCODE_COMBIN_A", "The number of elements selected.") }; @@ -1169,7 +1169,7 @@ const char* SC_OPCODE_COS_ARY[] = const char* SC_OPCODE_SIN_ARY[] = { NC_("SC_OPCODE_SIN", "Returns the sine of a number."), - NC_("SC_OPCODE_SIN", "number"), + NC_("SC_OPCODE_SIN", "Number"), NC_("SC_OPCODE_SIN", "The angle in radians for which the sine is to be calculated.") }; @@ -1185,7 +1185,7 @@ const char* SC_OPCODE_COT_ARY[] = const char* SC_OPCODE_TAN_ARY[] = { NC_("SC_OPCODE_TAN", "Returns the tangent of a number."), - NC_("SC_OPCODE_TAN", "number"), + NC_("SC_OPCODE_TAN", "Number"), NC_("SC_OPCODE_TAN", "The angle in radians for which the tangent is to be calculated.") }; @@ -1201,7 +1201,7 @@ const char* SC_OPCODE_COS_HYP_ARY[] = const char* SC_OPCODE_SIN_HYP_ARY[] = { NC_("SC_OPCODE_SIN_HYP", "Returns the hyperbolic sine of a number."), - NC_("SC_OPCODE_SIN_HYP", "number"), + NC_("SC_OPCODE_SIN_HYP", "Number"), NC_("SC_OPCODE_SIN_HYP", "The value for which the hyperbolic sine is to be calculated.") }; @@ -1217,7 +1217,7 @@ const char* SC_OPCODE_COT_HYP_ARY[] = const char* SC_OPCODE_TAN_HYP_ARY[] = { NC_("SC_OPCODE_TAN_HYP", "Returns the hyperbolic tangent of a number."), - NC_("SC_OPCODE_TAN_HYP", "number"), + NC_("SC_OPCODE_TAN_HYP", "Number"), NC_("SC_OPCODE_TAN_HYP", "The value for which the hyperbolic tangent is to be calculated.") }; @@ -1225,10 +1225,10 @@ const char* SC_OPCODE_TAN_HYP_ARY[] = const char* SC_OPCODE_ARC_TAN_2_ARY[] = { NC_("SC_OPCODE_ARC_TAN_2", "Returns the arctangent for the specified coordinates."), - NC_("SC_OPCODE_ARC_TAN_2", "number_x"), - NC_("SC_OPCODE_ARC_TAN_2", "The value for the x coordinate."), - NC_("SC_OPCODE_ARC_TAN_2", "number_y"), - NC_("SC_OPCODE_ARC_TAN_2", "The value for the y coordinate.") + NC_("SC_OPCODE_ARC_TAN_2", "Number X"), + NC_("SC_OPCODE_ARC_TAN_2", "The value for the X coordinate."), + NC_("SC_OPCODE_ARC_TAN_2", "Number Y"), + NC_("SC_OPCODE_ARC_TAN_2", "The value for the Y coordinate.") }; // -=*# Resource for function CSC #*=- @@ -1345,7 +1345,7 @@ const char* SC_OPCODE_SUB_TOTAL_ARY[] = NC_("SC_OPCODE_SUB_TOTAL", "Calculates subtotals in a spreadsheet."), NC_("SC_OPCODE_SUB_TOTAL", "Function"), NC_("SC_OPCODE_SUB_TOTAL", "Function index. Is an index of the possible functions Total, Max, ..."), - NC_("SC_OPCODE_SUB_TOTAL", "range"), + NC_("SC_OPCODE_SUB_TOTAL", "Range"), NC_("SC_OPCODE_SUB_TOTAL", "The cells of the range which are to be taken into account.") }; @@ -1357,9 +1357,9 @@ const char* SC_OPCODE_AGGREGATE_ARY[] = NC_("SC_OPCODE_AGGREGATE", "Function index. Is an index of the possible functions Total, Max, ..."), NC_("SC_OPCODE_AGGREGATE", "Options"), NC_("SC_OPCODE_AGGREGATE", "Option index. Is an index of the possible ignore options."), - NC_("SC_OPCODE_AGGREGATE", "Ref1 or array "), + NC_("SC_OPCODE_AGGREGATE", "Reference 1 or array"), NC_("SC_OPCODE_AGGREGATE", "The cell(s) of the range which are to be taken into account."), - NC_("SC_OPCODE_AGGREGATE", "Ref2..n or k "), + NC_("SC_OPCODE_AGGREGATE", "Reference 2..n or k "), NC_("SC_OPCODE_AGGREGATE", "The cells of the range which are to be taken into account or mandatory 2nd argument for certain functions.") }; @@ -1375,9 +1375,9 @@ const char* SC_OPCODE_INT_ARY[] = const char* SC_OPCODE_TRUNC_ARY[] = { NC_("SC_OPCODE_TRUNC", "Truncates the decimal places of a number."), - NC_("SC_OPCODE_TRUNC", "number"), + NC_("SC_OPCODE_TRUNC", "Number"), NC_("SC_OPCODE_TRUNC", "The number to be truncated."), - NC_("SC_OPCODE_TRUNC", "count"), + NC_("SC_OPCODE_TRUNC", "Count"), NC_("SC_OPCODE_TRUNC", "The number of places after the decimal point that are not to be truncated.") }; @@ -1385,9 +1385,9 @@ const char* SC_OPCODE_TRUNC_ARY[] = const char* SC_OPCODE_ROUND_ARY[] = { NC_("SC_OPCODE_ROUND", "Rounds a number to a predefined accuracy."), - NC_("SC_OPCODE_ROUND", "number"), + NC_("SC_OPCODE_ROUND", "Number"), NC_("SC_OPCODE_ROUND", "The number to be rounded."), - NC_("SC_OPCODE_ROUND", "count"), + NC_("SC_OPCODE_ROUND", "Count"), NC_("SC_OPCODE_ROUND", "The number of places to which a number is to be rounded.") }; @@ -1395,9 +1395,9 @@ const char* SC_OPCODE_ROUND_ARY[] = const char* SC_OPCODE_ROUND_UP_ARY[] = { NC_("SC_OPCODE_ROUND_UP", "Rounds a number up to the predefined accuracy."), - NC_("SC_OPCODE_ROUND_UP", "number"), + NC_("SC_OPCODE_ROUND_UP", "Number"), NC_("SC_OPCODE_ROUND_UP", "The number to be rounded up."), - NC_("SC_OPCODE_ROUND_UP", "count"), + NC_("SC_OPCODE_ROUND_UP", "Count"), NC_("SC_OPCODE_ROUND_UP", "The number of places to which a number is to be rounded.") }; @@ -1405,9 +1405,9 @@ const char* SC_OPCODE_ROUND_UP_ARY[] = const char* SC_OPCODE_ROUND_DOWN_ARY[] = { NC_("SC_OPCODE_ROUND_DOWN", "Rounds a number down to a predefined accuracy."), - NC_("SC_OPCODE_ROUND_DOWN", "number"), + NC_("SC_OPCODE_ROUND_DOWN", "Number"), NC_("SC_OPCODE_ROUND_DOWN", "The number to be rounded down."), - NC_("SC_OPCODE_ROUND_DOWN", "count"), + NC_("SC_OPCODE_ROUND_DOWN", "Count"), NC_("SC_OPCODE_ROUND_DOWN", "The number of places down to which a number is to be rounded.") }; @@ -1545,7 +1545,7 @@ const char* SC_OPCODE_LCM_ARY[] = const char* SC_OPCODE_MAT_TRANS_ARY[] = { NC_("SC_OPCODE_MAT_TRANS", "Array transposition. Exchanges the rows and columns of an array."), - NC_("SC_OPCODE_MAT_TRANS", "array"), + NC_("SC_OPCODE_MAT_TRANS", "Array"), NC_("SC_OPCODE_MAT_TRANS", "The array in which the rows and columns have been transposed.") }; @@ -1553,9 +1553,9 @@ const char* SC_OPCODE_MAT_TRANS_ARY[] = const char* SC_OPCODE_MAT_MULT_ARY[] = { NC_("SC_OPCODE_MAT_MULT", "Array multiplication. Returns the product of two arrays."), - NC_("SC_OPCODE_MAT_MULT", "array_1"), + NC_("SC_OPCODE_MAT_MULT", "Array 1"), NC_("SC_OPCODE_MAT_MULT", "The first array for the array product."), - NC_("SC_OPCODE_MAT_MULT", "array_2"), + NC_("SC_OPCODE_MAT_MULT", "Array 2"), NC_("SC_OPCODE_MAT_MULT", "The second array having the same number of rows as the first array has columns.") }; @@ -1563,7 +1563,7 @@ const char* SC_OPCODE_MAT_MULT_ARY[] = const char* SC_OPCODE_MAT_DET_ARY[] = { NC_("SC_OPCODE_MAT_DET", "Returns the array determinant."), - NC_("SC_OPCODE_MAT_DET", "array"), + NC_("SC_OPCODE_MAT_DET", "Array"), NC_("SC_OPCODE_MAT_DET", "The array for which the determinant is to be determined.") }; @@ -1571,7 +1571,7 @@ const char* SC_OPCODE_MAT_DET_ARY[] = const char* SC_OPCODE_MAT_INV_ARY[] = { NC_("SC_OPCODE_MAT_INV", "Returns the inverse of an array."), - NC_("SC_OPCODE_MAT_INV", "array"), + NC_("SC_OPCODE_MAT_INV", "Array"), NC_("SC_OPCODE_MAT_INV", "The array to be inverted.") }; @@ -1595,9 +1595,9 @@ const char* SC_OPCODE_SUM_PRODUCT_ARY[] = const char* SC_OPCODE_SUM_X2MY2_ARY[] = { NC_("SC_OPCODE_SUM_X2MY2", "Returns the sum of the difference of squares of two arrays."), - NC_("SC_OPCODE_SUM_X2MY2", "array_x"), + NC_("SC_OPCODE_SUM_X2MY2", "Array X"), NC_("SC_OPCODE_SUM_X2MY2", "First array where the square of the arguments are totalled."), - NC_("SC_OPCODE_SUM_X2MY2", "array_y"), + NC_("SC_OPCODE_SUM_X2MY2", "Array Y"), NC_("SC_OPCODE_SUM_X2MY2", "Second array where the square of the arguments is to be subtracted.") }; @@ -1605,9 +1605,9 @@ const char* SC_OPCODE_SUM_X2MY2_ARY[] = const char* SC_OPCODE_SUM_X2DY2_ARY[] = { NC_("SC_OPCODE_SUM_X2DY2", "Returns the total of the square sum of two arrays."), - NC_("SC_OPCODE_SUM_X2DY2", "array_x"), + NC_("SC_OPCODE_SUM_X2DY2", "Array X"), NC_("SC_OPCODE_SUM_X2DY2", "First array where the square of the arguments are totalled."), - NC_("SC_OPCODE_SUM_X2DY2", "array_y"), + NC_("SC_OPCODE_SUM_X2DY2", "Array Y"), NC_("SC_OPCODE_SUM_X2DY2", "Second array where the square of the arguments is to be totalled.") }; @@ -1615,9 +1615,9 @@ const char* SC_OPCODE_SUM_X2DY2_ARY[] = const char* SC_OPCODE_SUM_XMY2_ARY[] = { NC_("SC_OPCODE_SUM_XMY2", "Returns the sum of squares of differences of two arrays."), - NC_("SC_OPCODE_SUM_XMY2", "array_x"), + NC_("SC_OPCODE_SUM_XMY2", "Array X"), NC_("SC_OPCODE_SUM_XMY2", "First array for forming argument differences."), - NC_("SC_OPCODE_SUM_XMY2", "array_y"), + NC_("SC_OPCODE_SUM_XMY2", "Array Y"), NC_("SC_OPCODE_SUM_XMY2", "Second array for forming the argument differences.") }; @@ -1625,9 +1625,9 @@ const char* SC_OPCODE_SUM_XMY2_ARY[] = const char* SC_OPCODE_FREQUENCY_ARY[] = { NC_("SC_OPCODE_FREQUENCY", "Returns a frequency distribution as a vertical array."), - NC_("SC_OPCODE_FREQUENCY", "data"), + NC_("SC_OPCODE_FREQUENCY", "Data"), NC_("SC_OPCODE_FREQUENCY", "The array of the data."), - NC_("SC_OPCODE_FREQUENCY", "classes"), + NC_("SC_OPCODE_FREQUENCY", "Classes"), NC_("SC_OPCODE_FREQUENCY", "The array for forming classes.") }; @@ -1635,13 +1635,13 @@ const char* SC_OPCODE_FREQUENCY_ARY[] = const char* SC_OPCODE_LINEST_ARY[] = { NC_("SC_OPCODE_LINEST", "Calculates parameters of the linear regression as an array."), - NC_("SC_OPCODE_LINEST", "data_Y"), + NC_("SC_OPCODE_LINEST", "Data Y"), NC_("SC_OPCODE_LINEST", "The Y data array."), - NC_("SC_OPCODE_LINEST", "data_X"), + NC_("SC_OPCODE_LINEST", "Data X"), NC_("SC_OPCODE_LINEST", "The X data array."), - NC_("SC_OPCODE_LINEST", "Linear_type"), + NC_("SC_OPCODE_LINEST", "Linear type"), NC_("SC_OPCODE_LINEST", "If type = 0 the linears will be calculated through the zero point, or else moved linears."), - NC_("SC_OPCODE_LINEST", "stats"), + NC_("SC_OPCODE_LINEST", "Stats"), NC_("SC_OPCODE_LINEST", "If parameter = 0 then only the regression coefficient will be calculated, otherwise other values as well.") }; @@ -1649,13 +1649,13 @@ const char* SC_OPCODE_LINEST_ARY[] = const char* SC_OPCODE_LOGEST_ARY[] = { NC_("SC_OPCODE_LOGEST", "Calculates the parameters of the exponential regression curve as an array."), - NC_("SC_OPCODE_LOGEST", "data_Y"), + NC_("SC_OPCODE_LOGEST", "Data Y"), NC_("SC_OPCODE_LOGEST", "The Y data array."), - NC_("SC_OPCODE_LOGEST", "data_X"), + NC_("SC_OPCODE_LOGEST", "Data X"), NC_("SC_OPCODE_LOGEST", "The X data array."), - NC_("SC_OPCODE_LOGEST", "Function_type"), + NC_("SC_OPCODE_LOGEST", "Function type"), NC_("SC_OPCODE_LOGEST", "If type = 0 then the functions will be calculated in the form of y=m^x, or also functions y=b*m^x."), - NC_("SC_OPCODE_LOGEST", "stats"), + NC_("SC_OPCODE_LOGEST", "Stats"), NC_("SC_OPCODE_LOGEST", "If parameter = 0 then only the regression coefficient will be calculated, otherwise other values as well.") }; @@ -1663,13 +1663,13 @@ const char* SC_OPCODE_LOGEST_ARY[] = const char* SC_OPCODE_TREND_ARY[] = { NC_("SC_OPCODE_TREND", "Calculates points along a regression line."), - NC_("SC_OPCODE_TREND", "data_Y"), + NC_("SC_OPCODE_TREND", "Data Y"), NC_("SC_OPCODE_TREND", "The Y data array."), - NC_("SC_OPCODE_TREND", "data_X"), + NC_("SC_OPCODE_TREND", "Data X"), NC_("SC_OPCODE_TREND", "The X data array as the basis for the regression."), - NC_("SC_OPCODE_TREND", "new data_X"), + NC_("SC_OPCODE_TREND", "New data X"), NC_("SC_OPCODE_TREND", "The array of X data for recalculating the values."), - NC_("SC_OPCODE_TREND", "Linear_type"), + NC_("SC_OPCODE_TREND", "Linear type"), NC_("SC_OPCODE_TREND", "If type = 0 the linears will be calculated through the zero point, or else moved linears.") }; @@ -1677,13 +1677,13 @@ const char* SC_OPCODE_TREND_ARY[] = const char* SC_OPCODE_GROWTH_ARY[] = { NC_("SC_OPCODE_GROWTH", "Calculates points on the exponential regression function."), - NC_("SC_OPCODE_GROWTH", "data_Y"), + NC_("SC_OPCODE_GROWTH", "Data Y"), NC_("SC_OPCODE_GROWTH", "The Y data array."), - NC_("SC_OPCODE_GROWTH", "data_X"), + NC_("SC_OPCODE_GROWTH", "Data X"), NC_("SC_OPCODE_GROWTH", "The X data array as the basis for the regression."), - NC_("SC_OPCODE_GROWTH", "new_data_X"), + NC_("SC_OPCODE_GROWTH", "New data X"), NC_("SC_OPCODE_GROWTH", "The array of X data for recalculating the values."), - NC_("SC_OPCODE_GROWTH", "Function_type"), + NC_("SC_OPCODE_GROWTH", "Function type"), NC_("SC_OPCODE_GROWTH", "If type = 0 then the functions will be calculated in the form of y=m^x, or also functions y=b*m^x.") }; @@ -1691,7 +1691,7 @@ const char* SC_OPCODE_GROWTH_ARY[] = const char* SC_OPCODE_COUNT_ARY[] = { NC_("SC_OPCODE_COUNT", "Counts how many numbers are in the list of arguments."), - NC_("SC_OPCODE_COUNT", "value "), + NC_("SC_OPCODE_COUNT", "Value "), NC_("SC_OPCODE_COUNT", "Value 1, value 2, ... are arguments containing different data types but where only numbers are counted.") }; @@ -1699,7 +1699,7 @@ const char* SC_OPCODE_COUNT_ARY[] = const char* SC_OPCODE_COUNT_2_ARY[] = { NC_("SC_OPCODE_COUNT_2", "Counts how many values are in the list of arguments."), - NC_("SC_OPCODE_COUNT_2", "value "), + NC_("SC_OPCODE_COUNT_2", "Value "), NC_("SC_OPCODE_COUNT_2", "Value 1, value 2, ... are arguments representing the values to be counted.") }; @@ -1707,7 +1707,7 @@ const char* SC_OPCODE_COUNT_2_ARY[] = const char* SC_OPCODE_MAX_ARY[] = { NC_("SC_OPCODE_MAX", "Returns the maximum value in a list of arguments."), - NC_("SC_OPCODE_MAX", "number "), + NC_("SC_OPCODE_MAX", "Number "), NC_("SC_OPCODE_MAX", "Number 1, number 2, ... are numerical arguments for which the largest number is to be determined.") }; @@ -1715,7 +1715,7 @@ const char* SC_OPCODE_MAX_ARY[] = const char* SC_OPCODE_MAX_A_ARY[] = { NC_("SC_OPCODE_MAX_A", "Returns the maximum value in a list of arguments. Text is evaluated as Zero."), - NC_("SC_OPCODE_MAX_A", "value "), + NC_("SC_OPCODE_MAX_A", "Value "), NC_("SC_OPCODE_MAX_A", "Value 1, value 2, are arguments whose largest value is to be determined.") }; @@ -1723,7 +1723,7 @@ const char* SC_OPCODE_MAX_A_ARY[] = const char* SC_OPCODE_MIN_ARY[] = { NC_("SC_OPCODE_MIN", "Returns the minimum value in a list of arguments."), - NC_("SC_OPCODE_MIN", "number "), + NC_("SC_OPCODE_MIN", "Number "), NC_("SC_OPCODE_MIN", "Number 1, number 2, ... are numerical arguments for which the smallest number is to be determined.") }; @@ -1731,7 +1731,7 @@ const char* SC_OPCODE_MIN_ARY[] = const char* SC_OPCODE_MIN_A_ARY[] = { NC_("SC_OPCODE_MIN_A", "Returns the smallest value in a list of arguments. Text is evaluated as zero."), - NC_("SC_OPCODE_MIN_A", "value "), + NC_("SC_OPCODE_MIN_A", "Value "), NC_("SC_OPCODE_MIN_A", "Value 1; value 2;... are arguments whose smallest number is to be determined.") }; @@ -1739,7 +1739,7 @@ const char* SC_OPCODE_MIN_A_ARY[] = const char* SC_OPCODE_VAR_ARY[] = { NC_("SC_OPCODE_VAR", "Calculates the variance based on a sample."), - NC_("SC_OPCODE_VAR", "number "), + NC_("SC_OPCODE_VAR", "Number "), NC_("SC_OPCODE_VAR", "Number 1, number 2, ... are numerical arguments which portray a sample of a population.") }; @@ -1747,7 +1747,7 @@ const char* SC_OPCODE_VAR_ARY[] = const char* SC_OPCODE_VAR_S_ARY[] = { NC_("SC_OPCODE_VAR_S", "Calculates the variance based on a sample."), - NC_("SC_OPCODE_VAR_S", "number "), + NC_("SC_OPCODE_VAR_S", "Number "), NC_("SC_OPCODE_VAR_S", "Number 1, number 2, ... are numerical arguments which portray a sample of a population.") }; @@ -1755,7 +1755,7 @@ const char* SC_OPCODE_VAR_S_ARY[] = const char* SC_OPCODE_VAR_A_ARY[] = { NC_("SC_OPCODE_VAR_A", "Returns the variance based on a sample. Text is evaluated as zero."), - NC_("SC_OPCODE_VAR_A", "value "), + NC_("SC_OPCODE_VAR_A", "Value "), NC_("SC_OPCODE_VAR_A", "Value 1; value 2; ... are arguments representing a sample taken from a basic total population.") }; @@ -1763,7 +1763,7 @@ const char* SC_OPCODE_VAR_A_ARY[] = const char* SC_OPCODE_VAR_P_ARY[] = { NC_("SC_OPCODE_VAR_P", "Calculates variance based on the entire population."), - NC_("SC_OPCODE_VAR_P", "number "), + NC_("SC_OPCODE_VAR_P", "Number "), NC_("SC_OPCODE_VAR_P", "Number 1, number 2, ... are numerical arguments which represent a population.") }; @@ -1771,7 +1771,7 @@ const char* SC_OPCODE_VAR_P_ARY[] = const char* SC_OPCODE_VAR_P_MS_ARY[] = { NC_("SC_OPCODE_VAR_P_MS", "Calculates variance based on the entire population."), - NC_("SC_OPCODE_VAR_P_MS", "number "), + NC_("SC_OPCODE_VAR_P_MS", "Number "), NC_("SC_OPCODE_VAR_P_MS", "Number 1, number 2, ... are numerical arguments which represent a population.") }; @@ -1779,7 +1779,7 @@ const char* SC_OPCODE_VAR_P_MS_ARY[] = const char* SC_OPCODE_VAR_P_A_ARY[] = { NC_("SC_OPCODE_VAR_P_A", "Returns the variance based on the entire population. Text is evaluated as zero."), - NC_("SC_OPCODE_VAR_P_A", "value "), + NC_("SC_OPCODE_VAR_P_A", "Value "), NC_("SC_OPCODE_VAR_P_A", "Value 1; value 2;... are arguments representing a population.") }; @@ -1787,7 +1787,7 @@ const char* SC_OPCODE_VAR_P_A_ARY[] = const char* SC_OPCODE_ST_DEV_ARY[] = { NC_("SC_OPCODE_ST_DEV", "Calculates the standard deviation based on a sample."), - NC_("SC_OPCODE_ST_DEV", "number "), + NC_("SC_OPCODE_ST_DEV", "Number "), NC_("SC_OPCODE_ST_DEV", "Number 1, number 2, ... are numerical arguments which portray a sample of a population.") }; @@ -1795,7 +1795,7 @@ const char* SC_OPCODE_ST_DEV_ARY[] = const char* SC_OPCODE_ST_DEV_S_ARY[] = { NC_("SC_OPCODE_ST_DEV_S", "Calculates the standard deviation based on a sample."), - NC_("SC_OPCODE_ST_DEV_S", "number "), + NC_("SC_OPCODE_ST_DEV_S", "Number "), NC_("SC_OPCODE_ST_DEV_S", "Number 1, number 2, ... are numerical arguments which portray a sample of a population.") }; @@ -1803,7 +1803,7 @@ const char* SC_OPCODE_ST_DEV_S_ARY[] = const char* SC_OPCODE_ST_DEV_A_ARY[] = { NC_("SC_OPCODE_ST_DEV_A", "Returns the standard deviation based on a sample. Text is evaluated as zero."), - NC_("SC_OPCODE_ST_DEV_A", "value "), + NC_("SC_OPCODE_ST_DEV_A", "Value "), NC_("SC_OPCODE_ST_DEV_A", "Value 1; value 2; ... are arguments representing a sample taken from a basic total population.") }; @@ -1811,7 +1811,7 @@ const char* SC_OPCODE_ST_DEV_A_ARY[] = const char* SC_OPCODE_ST_DEV_P_ARY[] = { NC_("SC_OPCODE_ST_DEV_P", "Calculates the standard deviation based on the entire population."), - NC_("SC_OPCODE_ST_DEV_P", "number "), + NC_("SC_OPCODE_ST_DEV_P", "Number "), NC_("SC_OPCODE_ST_DEV_P", "Number 1, number 2, ... are numerical arguments which portray a population.") }; @@ -1819,7 +1819,7 @@ const char* SC_OPCODE_ST_DEV_P_ARY[] = const char* SC_OPCODE_ST_DEV_P_MS_ARY[] = { NC_("SC_OPCODE_ST_DEV_P_MS", "Calculates the standard deviation based on the entire population."), - NC_("SC_OPCODE_ST_DEV_P_MS", "number "), + NC_("SC_OPCODE_ST_DEV_P_MS", "Number "), NC_("SC_OPCODE_ST_DEV_P_MS", "Number 1, number 2, ... are numerical arguments which portray a population.") }; @@ -1827,7 +1827,7 @@ const char* SC_OPCODE_ST_DEV_P_MS_ARY[] = const char* SC_OPCODE_ST_DEV_P_A_ARY[] = { NC_("SC_OPCODE_ST_DEV_P_A", "Returns the standard deviation based on the entire population. Text is evaluated as zero."), - NC_("SC_OPCODE_ST_DEV_P_A", "value "), + NC_("SC_OPCODE_ST_DEV_P_A", "Value "), NC_("SC_OPCODE_ST_DEV_P_A", "Value 1; value 2;... are arguments corresponding to a population.") }; @@ -1835,7 +1835,7 @@ const char* SC_OPCODE_ST_DEV_P_A_ARY[] = const char* SC_OPCODE_AVERAGE_ARY[] = { NC_("SC_OPCODE_AVERAGE", "Returns the average of a sample."), - NC_("SC_OPCODE_AVERAGE", "number "), + NC_("SC_OPCODE_AVERAGE", "Number "), NC_("SC_OPCODE_AVERAGE", "Number 1, number 2;...are numeric arguments representing a population sample.") }; @@ -1843,7 +1843,7 @@ const char* SC_OPCODE_AVERAGE_ARY[] = const char* SC_OPCODE_AVERAGE_A_ARY[] = { NC_("SC_OPCODE_AVERAGE_A", "Returns the average value for a sample. Text is evaluated as zero."), - NC_("SC_OPCODE_AVERAGE_A", "value "), + NC_("SC_OPCODE_AVERAGE_A", "Value "), NC_("SC_OPCODE_AVERAGE_A", "Value 1; value 2; ... are arguments representing a sample taken from a basic total population.") }; @@ -1851,7 +1851,7 @@ const char* SC_OPCODE_AVERAGE_A_ARY[] = const char* SC_OPCODE_DEV_SQ_ARY[] = { NC_("SC_OPCODE_DEV_SQ", "Returns the sum of squares of deviations from the sample mean value"), - NC_("SC_OPCODE_DEV_SQ", "number "), + NC_("SC_OPCODE_DEV_SQ", "Number "), NC_("SC_OPCODE_DEV_SQ", "Number 1, number 2, ... are numerical arguments which portray a sample.") }; @@ -1859,7 +1859,7 @@ const char* SC_OPCODE_DEV_SQ_ARY[] = const char* SC_OPCODE_AVE_DEV_ARY[] = { NC_("SC_OPCODE_AVE_DEV", "Returns the average of the absolute deviations of a sample from the mean."), - NC_("SC_OPCODE_AVE_DEV", "number "), + NC_("SC_OPCODE_AVE_DEV", "Number "), NC_("SC_OPCODE_AVE_DEV", "Number 1, number 2;...are numerical arguments representing a sample.") }; @@ -1867,7 +1867,7 @@ const char* SC_OPCODE_AVE_DEV_ARY[] = const char* SC_OPCODE_SKEW_ARY[] = { NC_("SC_OPCODE_SKEW", "Returns the skewness of a distribution."), - NC_("SC_OPCODE_SKEW", "number "), + NC_("SC_OPCODE_SKEW", "Number "), NC_("SC_OPCODE_SKEW", "Number 1, number 2, ... are numerical arguments portraying a sample of the distribution.") }; @@ -1875,7 +1875,7 @@ const char* SC_OPCODE_SKEW_ARY[] = const char* SC_OPCODE_SKEWP_ARY[] = { NC_("SC_OPCODE_SKEWP", "Returns the skewness of a distribution using the population of a random variable."), - NC_("SC_OPCODE_SKEWP", "number "), + NC_("SC_OPCODE_SKEWP", "Number "), NC_("SC_OPCODE_SKEWP", "Number 1, number 2, ... are numerical arguments portraying the population.") }; @@ -1883,7 +1883,7 @@ const char* SC_OPCODE_SKEWP_ARY[] = const char* SC_OPCODE_KURT_ARY[] = { NC_("SC_OPCODE_KURT", "Returns the kurtosis of a distribution."), - NC_("SC_OPCODE_KURT", "number "), + NC_("SC_OPCODE_KURT", "Number "), NC_("SC_OPCODE_KURT", "Number 1, number 2, ... are numerical arguments, representing a sample of the distribution.") }; @@ -1891,7 +1891,7 @@ const char* SC_OPCODE_KURT_ARY[] = const char* SC_OPCODE_GEO_MEAN_ARY[] = { NC_("SC_OPCODE_GEO_MEAN", "Returns the geometric mean of a sample."), - NC_("SC_OPCODE_GEO_MEAN", "number "), + NC_("SC_OPCODE_GEO_MEAN", "Number "), NC_("SC_OPCODE_GEO_MEAN", "Number 1, number 2, ... are numerical arguments which portray a sample.") }; @@ -1899,7 +1899,7 @@ const char* SC_OPCODE_GEO_MEAN_ARY[] = const char* SC_OPCODE_HAR_MEAN_ARY[] = { NC_("SC_OPCODE_HAR_MEAN", "Returns the harmonic mean of a sample."), - NC_("SC_OPCODE_HAR_MEAN", "number "), + NC_("SC_OPCODE_HAR_MEAN", "Number "), NC_("SC_OPCODE_HAR_MEAN", "Number 1, number 2, ... are numerical arguments which portray a sample.") }; @@ -1907,7 +1907,7 @@ const char* SC_OPCODE_HAR_MEAN_ARY[] = const char* SC_OPCODE_MODAL_VALUE_ARY[] = { NC_("SC_OPCODE_MODAL_VALUE", "Returns the most common value in a sample."), - NC_("SC_OPCODE_MODAL_VALUE", "number "), + NC_("SC_OPCODE_MODAL_VALUE", "Number "), NC_("SC_OPCODE_MODAL_VALUE", "Number 1, number 2, ... are numerical arguments which portray a sample.") }; @@ -1915,7 +1915,7 @@ const char* SC_OPCODE_MODAL_VALUE_ARY[] = const char* SC_OPCODE_MODAL_VALUE_MS_ARY[] = { NC_("SC_OPCODE_MODAL_VALUE_MS", "Returns the most common value in a sample."), - NC_("SC_OPCODE_MODAL_VALUE_MS", "number "), + NC_("SC_OPCODE_MODAL_VALUE_MS", "Number "), NC_("SC_OPCODE_MODAL_VALUE_MS", "Number 1, number 2, ... are numerical arguments which portray a sample.") }; @@ -1923,7 +1923,7 @@ const char* SC_OPCODE_MODAL_VALUE_MS_ARY[] = const char* SC_OPCODE_MODAL_VALUE_MULTI_ARY[] = { NC_("SC_OPCODE_MODAL_VALUE_MULTI", "Returns the most common value in a sample."), - NC_("SC_OPCODE_MODAL_VALUE_MULTI", "number "), + NC_("SC_OPCODE_MODAL_VALUE_MULTI", "Number "), NC_("SC_OPCODE_MODAL_VALUE_MULTI", "Number 1, number 2, ... are 1 to 254 numerical arguments which portray a sample.") }; @@ -1931,7 +1931,7 @@ const char* SC_OPCODE_MODAL_VALUE_MULTI_ARY[] = const char* SC_OPCODE_MEDIAN_ARY[] = { NC_("SC_OPCODE_MEDIAN", "Returns the median of a given sample."), - NC_("SC_OPCODE_MEDIAN", "number "), + NC_("SC_OPCODE_MEDIAN", "Number "), NC_("SC_OPCODE_MEDIAN", "Number 1, number 2, ... are numerical arguments which portray a sample.") }; @@ -1939,7 +1939,7 @@ const char* SC_OPCODE_MEDIAN_ARY[] = const char* SC_OPCODE_PERCENTILE_ARY[] = { NC_("SC_OPCODE_PERCENTILE", "Returns the alpha quantile of a sample."), - NC_("SC_OPCODE_PERCENTILE", "data"), + NC_("SC_OPCODE_PERCENTILE", "Data"), NC_("SC_OPCODE_PERCENTILE", "The array of the data in the sample."), NC_("SC_OPCODE_PERCENTILE", "Alpha"), NC_("SC_OPCODE_PERCENTILE", "The percentage rate of the quantile between 0 and 1.") @@ -1949,7 +1949,7 @@ const char* SC_OPCODE_PERCENTILE_ARY[] = const char* SC_OPCODE_PERCENTILE_EXC_ARY[] = { NC_("SC_OPCODE_PERCENTILE_EXC", "Returns the alpha percentile of a sample."), - NC_("SC_OPCODE_PERCENTILE_EXC", "data"), + NC_("SC_OPCODE_PERCENTILE_EXC", "Data"), NC_("SC_OPCODE_PERCENTILE_EXC", "The array of the data in the sample."), NC_("SC_OPCODE_PERCENTILE_EXC", "Alpha"), NC_("SC_OPCODE_PERCENTILE_EXC", "The percentile value, range 0...1, exclusive.") @@ -1959,7 +1959,7 @@ const char* SC_OPCODE_PERCENTILE_EXC_ARY[] = const char* SC_OPCODE_PERCENTILE_INC_ARY[] = { NC_("SC_OPCODE_PERCENTILE_INC", "Returns the alpha percentile of a sample."), - NC_("SC_OPCODE_PERCENTILE_INC", "data"), + NC_("SC_OPCODE_PERCENTILE_INC", "Data"), NC_("SC_OPCODE_PERCENTILE_INC", "The array of the data in the sample."), NC_("SC_OPCODE_PERCENTILE_INC", "Alpha"), NC_("SC_OPCODE_PERCENTILE_INC", "The percentile value, range 0...1, inclusive.") @@ -1969,7 +1969,7 @@ const char* SC_OPCODE_PERCENTILE_INC_ARY[] = const char* SC_OPCODE_QUARTILE_ARY[] = { NC_("SC_OPCODE_QUARTILE", "Returns the quartile of a sample."), - NC_("SC_OPCODE_QUARTILE", "data"), + NC_("SC_OPCODE_QUARTILE", "Data"), NC_("SC_OPCODE_QUARTILE", "The array of the data in the sample."), NC_("SC_OPCODE_QUARTILE", "Type"), NC_("SC_OPCODE_QUARTILE", "The type of the quartile (0 = MIN, 1 = 25%, 2 = 50%, 3 = 75%, 4 = MAX).") @@ -1979,7 +1979,7 @@ const char* SC_OPCODE_QUARTILE_ARY[] = const char* SC_OPCODE_QUARTILE_EXC_ARY[] = { NC_("SC_OPCODE_QUARTILE_EXC", "Returns the quartile of a sample."), - NC_("SC_OPCODE_QUARTILE_EXC", "data"), + NC_("SC_OPCODE_QUARTILE_EXC", "Data"), NC_("SC_OPCODE_QUARTILE_EXC", "The array of the data in the sample."), NC_("SC_OPCODE_QUARTILE_EXC", "Type"), NC_("SC_OPCODE_QUARTILE_EXC", "The type of the quartile (1 = 25%, 2 = 50%, 3 = 75%).") @@ -1989,7 +1989,7 @@ const char* SC_OPCODE_QUARTILE_EXC_ARY[] = const char* SC_OPCODE_QUARTILE_INC_ARY[] = { NC_("SC_OPCODE_QUARTILE_INC", "Returns the quartile of a sample."), - NC_("SC_OPCODE_QUARTILE_INC", "data"), + NC_("SC_OPCODE_QUARTILE_INC", "Data"), NC_("SC_OPCODE_QUARTILE_INC", "The array of the data in the sample."), NC_("SC_OPCODE_QUARTILE_INC", "Type"), NC_("SC_OPCODE_QUARTILE_INC", "The type of the quartile (0 = MIN, 1 = 25%, 2 = 50%, 3 = 75%, 4 = MAX).") @@ -1999,9 +1999,9 @@ const char* SC_OPCODE_QUARTILE_INC_ARY[] = const char* SC_OPCODE_LARGE_ARY[] = { NC_("SC_OPCODE_LARGE", "Returns the k-th largest value of a sample."), - NC_("SC_OPCODE_LARGE", "data"), + NC_("SC_OPCODE_LARGE", "Data"), NC_("SC_OPCODE_LARGE", "The array of the data in the sample."), - NC_("SC_OPCODE_LARGE", "Rank_c"), + NC_("SC_OPCODE_LARGE", "Rank c"), NC_("SC_OPCODE_LARGE", "The ranking of the value.") }; @@ -2009,9 +2009,9 @@ const char* SC_OPCODE_LARGE_ARY[] = const char* SC_OPCODE_SMALL_ARY[] = { NC_("SC_OPCODE_SMALL", "Returns the k-th smallest value of a sample."), - NC_("SC_OPCODE_SMALL", "data"), + NC_("SC_OPCODE_SMALL", "Data"), NC_("SC_OPCODE_SMALL", "The array of the data in the sample."), - NC_("SC_OPCODE_SMALL", "Rank_c"), + NC_("SC_OPCODE_SMALL", "Rank c"), NC_("SC_OPCODE_SMALL", "The ranking of the value.") }; @@ -2019,11 +2019,11 @@ const char* SC_OPCODE_SMALL_ARY[] = const char* SC_OPCODE_PERCENT_RANK_ARY[] = { NC_("SC_OPCODE_PERCENT_RANK", "Returns the percentage rank of a value in a sample."), - NC_("SC_OPCODE_PERCENT_RANK", "data"), + NC_("SC_OPCODE_PERCENT_RANK", "Data"), NC_("SC_OPCODE_PERCENT_RANK", "The array of the data in the sample."), - NC_("SC_OPCODE_PERCENT_RANK", "value"), + NC_("SC_OPCODE_PERCENT_RANK", "Value"), NC_("SC_OPCODE_PERCENT_RANK", "The value for which percentage ranking is to be determined."), - NC_("SC_OPCODE_PERCENT_RANK", "significance"), + NC_("SC_OPCODE_PERCENT_RANK", "Significance"), NC_("SC_OPCODE_PERCENT_RANK", "The number of significant digits for the returned percentage: if omitted, a value of 3 is used.") }; @@ -2031,11 +2031,11 @@ const char* SC_OPCODE_PERCENT_RANK_ARY[] = const char* SC_OPCODE_PERCENT_RANK_EXC_ARY[] = { NC_("SC_OPCODE_PERCENT_RANK_EXC", "Returns the percentage rank (0..1, exclusive) of a value in a sample."), - NC_("SC_OPCODE_PERCENT_RANK_EXC", "data"), + NC_("SC_OPCODE_PERCENT_RANK_EXC", "Data"), NC_("SC_OPCODE_PERCENT_RANK_EXC", "The array of the data in the sample."), - NC_("SC_OPCODE_PERCENT_RANK_EXC", "value"), + NC_("SC_OPCODE_PERCENT_RANK_EXC", "Value"), NC_("SC_OPCODE_PERCENT_RANK_EXC", "The value for which percentage ranking is to be determined."), - NC_("SC_OPCODE_PERCENT_RANK_EXC", "significance"), + NC_("SC_OPCODE_PERCENT_RANK_EXC", "Significance"), NC_("SC_OPCODE_PERCENT_RANK_EXC", "The number of significant digits for the returned percentage: if omitted, a value of 3 is used.") }; @@ -2043,11 +2043,11 @@ const char* SC_OPCODE_PERCENT_RANK_EXC_ARY[] = const char* SC_OPCODE_PERCENT_RANK_INC_ARY[] = { NC_("SC_OPCODE_PERCENT_RANK_INC", "Returns the percentage rank (0..1, inclusive) of a value in a sample."), - NC_("SC_OPCODE_PERCENT_RANK_INC", "data"), + NC_("SC_OPCODE_PERCENT_RANK_INC", "Data"), NC_("SC_OPCODE_PERCENT_RANK_INC", "The array of the data in the sample."), - NC_("SC_OPCODE_PERCENT_RANK_INC", "value"), + NC_("SC_OPCODE_PERCENT_RANK_INC", "Value"), NC_("SC_OPCODE_PERCENT_RANK_INC", "The value for which percentage ranking is to be determined."), - NC_("SC_OPCODE_PERCENT_RANK_INC", "significance"), + NC_("SC_OPCODE_PERCENT_RANK_INC", "Significance"), NC_("SC_OPCODE_PERCENT_RANK_INC", "The number of significant digits for the returned percentage: if omitted, a value of 3 is used.") }; @@ -2055,7 +2055,7 @@ const char* SC_OPCODE_PERCENT_RANK_INC_ARY[] = const char* SC_OPCODE_RANK_ARY[] = { NC_("SC_OPCODE_RANK", "Returns the ranking of a value in a sample."), - NC_("SC_OPCODE_RANK", "value"), + NC_("SC_OPCODE_RANK", "Value"), NC_("SC_OPCODE_RANK", "The value for which the rank is to be determined."), NC_("SC_OPCODE_RANK", "Data"), NC_("SC_OPCODE_RANK", "The array of the data in the sample."), @@ -2067,7 +2067,7 @@ const char* SC_OPCODE_RANK_ARY[] = const char* SC_OPCODE_RANK_EQ_ARY[] = { NC_("SC_OPCODE_RANK_EQ", "Returns the ranking of a value in a sample; if more than one value has the same rank, the top rank of that set of values is returned."), - NC_("SC_OPCODE_RANK_EQ", "value"), + NC_("SC_OPCODE_RANK_EQ", "Value"), NC_("SC_OPCODE_RANK_EQ", "The value for which the rank is to be determined."), NC_("SC_OPCODE_RANK_EQ", "Data"), NC_("SC_OPCODE_RANK_EQ", "The array of the data in the sample."), @@ -2079,7 +2079,7 @@ const char* SC_OPCODE_RANK_EQ_ARY[] = const char* SC_OPCODE_RANK_AVG_ARY[] = { NC_("SC_OPCODE_RANK_AVG", "Returns the ranking of a value in a sample; if more than one value has the same rank, the average rank is returned."), - NC_("SC_OPCODE_RANK_AVG", "value"), + NC_("SC_OPCODE_RANK_AVG", "Value"), NC_("SC_OPCODE_RANK_AVG", "The value for which the rank is to be determined."), NC_("SC_OPCODE_RANK_AVG", "Data"), NC_("SC_OPCODE_RANK_AVG", "The array of the data in the sample."), @@ -2091,7 +2091,7 @@ const char* SC_OPCODE_RANK_AVG_ARY[] = const char* SC_OPCODE_TRIM_MEAN_ARY[] = { NC_("SC_OPCODE_TRIM_MEAN", "Returns the mean of a sample without including the marginal values."), - NC_("SC_OPCODE_TRIM_MEAN", "data"), + NC_("SC_OPCODE_TRIM_MEAN", "Data"), NC_("SC_OPCODE_TRIM_MEAN", "The array of the data in the sample."), NC_("SC_OPCODE_TRIM_MEAN", "Alpha"), NC_("SC_OPCODE_TRIM_MEAN", "The percentage of marginal data that is not to be taken into account.") @@ -2101,9 +2101,9 @@ const char* SC_OPCODE_TRIM_MEAN_ARY[] = const char* SC_OPCODE_PROB_ARY[] = { NC_("SC_OPCODE_PROB", "Returns the discrete probability of an interval."), - NC_("SC_OPCODE_PROB", "data"), + NC_("SC_OPCODE_PROB", "Data"), NC_("SC_OPCODE_PROB", "The sample data array."), - NC_("SC_OPCODE_PROB", "probability"), + NC_("SC_OPCODE_PROB", "Probability"), NC_("SC_OPCODE_PROB", "The array of the associated probabilities."), NC_("SC_OPCODE_PROB", "Start"), NC_("SC_OPCODE_PROB", "The start of the value interval whose probabilities is to be totalled."), @@ -2115,13 +2115,13 @@ const char* SC_OPCODE_PROB_ARY[] = const char* SC_OPCODE_B_ARY[] = { NC_("SC_OPCODE_B", "Returns the probability of a trial result using binomial distribution."), - NC_("SC_OPCODE_B", "trials"), + NC_("SC_OPCODE_B", "Trials"), NC_("SC_OPCODE_B", "The number of trials."), NC_("SC_OPCODE_B", "SP"), NC_("SC_OPCODE_B", "The individual probability of a trial result."), - NC_("SC_OPCODE_B", "T_1"), + NC_("SC_OPCODE_B", "T 1"), NC_("SC_OPCODE_B", "Lower limit for the number of trials."), - NC_("SC_OPCODE_B", "T_2"), + NC_("SC_OPCODE_B", "T 2"), NC_("SC_OPCODE_B", "Upper limit for the number of trials.") }; @@ -2129,7 +2129,7 @@ const char* SC_OPCODE_B_ARY[] = const char* SC_OPCODE_PHI_ARY[] = { NC_("SC_OPCODE_PHI", "Values of the distribution function for a standard normal distribution."), - NC_("SC_OPCODE_PHI", "number"), + NC_("SC_OPCODE_PHI", "Number"), NC_("SC_OPCODE_PHI", "The value for which the standard normal distribution is to be calculated.") }; @@ -2163,7 +2163,7 @@ const char* SC_OPCODE_BINOM_DIST_ARY[] = NC_("SC_OPCODE_BINOM_DIST", "Values of the binomial distribution."), NC_("SC_OPCODE_BINOM_DIST", "X"), NC_("SC_OPCODE_BINOM_DIST", "The number of successes in a series of trials."), - NC_("SC_OPCODE_BINOM_DIST", "trials"), + NC_("SC_OPCODE_BINOM_DIST", "Trials"), NC_("SC_OPCODE_BINOM_DIST", "The total number of trials."), NC_("SC_OPCODE_BINOM_DIST", "SP"), NC_("SC_OPCODE_BINOM_DIST", "The success probability of a trial."), @@ -2177,7 +2177,7 @@ const char* SC_OPCODE_BINOM_DIST_MS_ARY[] = NC_("SC_OPCODE_BINOM_DIST_MS", "Values of the binomial distribution."), NC_("SC_OPCODE_BINOM_DIST_MS", "X"), NC_("SC_OPCODE_BINOM_DIST_MS", "The number of successes in a series of trials."), - NC_("SC_OPCODE_BINOM_DIST_MS", "trials"), + NC_("SC_OPCODE_BINOM_DIST_MS", "Trials"), NC_("SC_OPCODE_BINOM_DIST_MS", "The total number of trials."), NC_("SC_OPCODE_BINOM_DIST_MS", "SP"), NC_("SC_OPCODE_BINOM_DIST_MS", "The success probability of a trial."), @@ -2215,11 +2215,11 @@ const char* SC_OPCODE_NEG_BINOM_DIST_MS_ARY[] = const char* SC_OPCODE_CRIT_BINOM_ARY[] = { NC_("SC_OPCODE_CRIT_BINOM", "Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value."), - NC_("SC_OPCODE_CRIT_BINOM", "trials"), + NC_("SC_OPCODE_CRIT_BINOM", "Trials"), NC_("SC_OPCODE_CRIT_BINOM", "The total number of trials."), NC_("SC_OPCODE_CRIT_BINOM", "SP"), NC_("SC_OPCODE_CRIT_BINOM", "The success probability of a trial."), - NC_("SC_OPCODE_CRIT_BINOM", "alpha"), + NC_("SC_OPCODE_CRIT_BINOM", "Alpha"), NC_("SC_OPCODE_CRIT_BINOM", "The border probability that is attained or exceeded.") }; @@ -2227,11 +2227,11 @@ const char* SC_OPCODE_CRIT_BINOM_ARY[] = const char* SC_OPCODE_BINOM_INV_ARY[] = { NC_("SC_OPCODE_BINOM_INV", "Returns the smallest value for which the cumulative binomial distribution is greater than or equal to a criterion value."), - NC_("SC_OPCODE_BINOM_INV", "trials"), + NC_("SC_OPCODE_BINOM_INV", "Trials"), NC_("SC_OPCODE_BINOM_INV", "The total number of trials."), NC_("SC_OPCODE_BINOM_INV", "SP"), NC_("SC_OPCODE_BINOM_INV", "The success probability of a trial."), - NC_("SC_OPCODE_BINOM_INV", "alpha"), + NC_("SC_OPCODE_BINOM_INV", "Alpha"), NC_("SC_OPCODE_BINOM_INV", "The border probability that is attained or exceeded.") }; @@ -2241,7 +2241,7 @@ const char* SC_OPCODE_POISSON_DIST_ARY[] = NC_("SC_OPCODE_POISSON_DIST", "Returns the Poisson distribution."), NC_("SC_OPCODE_POISSON_DIST", "Number"), NC_("SC_OPCODE_POISSON_DIST", "The value for which the Poisson distribution is to be calculated."), - NC_("SC_OPCODE_POISSON_DIST", "mean"), + NC_("SC_OPCODE_POISSON_DIST", "Mean"), NC_("SC_OPCODE_POISSON_DIST", "Mean. The mean value of the Poisson distribution."), NC_("SC_OPCODE_POISSON_DIST", "Cumulative"), NC_("SC_OPCODE_POISSON_DIST", "0 or FALSE calculates the probability density function. Any other value or TRUE or omitted calculates the cumulative distribution function.") @@ -2253,7 +2253,7 @@ const char* SC_OPCODE_POISSON_DIST_MS_ARY[] = NC_("SC_OPCODE_POISSON_DIST_MS", "Returns the Poisson distribution."), NC_("SC_OPCODE_POISSON_DIST_MS", "Number"), NC_("SC_OPCODE_POISSON_DIST_MS", "The value for which the Poisson distribution is to be calculated."), - NC_("SC_OPCODE_POISSON_DIST_MS", "mean"), + NC_("SC_OPCODE_POISSON_DIST_MS", "Mean"), NC_("SC_OPCODE_POISSON_DIST_MS", "Mean. The mean value of the Poisson distribution."), NC_("SC_OPCODE_POISSON_DIST_MS", "Cumulative"), NC_("SC_OPCODE_POISSON_DIST_MS", "0 or FALSE calculates the probability density function. Any other value or TRUE or omitted calculates the cumulative distribution function.") @@ -2291,9 +2291,9 @@ const char* SC_OPCODE_NORM_DIST_MS_ARY[] = const char* SC_OPCODE_NORM_INV_ARY[] = { NC_("SC_OPCODE_NORM_INV", "Values of the inverse normal distribution."), - NC_("SC_OPCODE_NORM_INV", "number"), + NC_("SC_OPCODE_NORM_INV", "Number"), NC_("SC_OPCODE_NORM_INV", "The probability value for which the inverse normal distribution is to be calculated."), - NC_("SC_OPCODE_NORM_INV", "mean"), + NC_("SC_OPCODE_NORM_INV", "Mean"), NC_("SC_OPCODE_NORM_INV", "The mean value. The mean value of the normal distribution."), NC_("SC_OPCODE_NORM_INV", "STDEV"), NC_("SC_OPCODE_NORM_INV", "Standard deviation. The standard deviation of the normal distribution.") @@ -2303,9 +2303,9 @@ const char* SC_OPCODE_NORM_INV_ARY[] = const char* SC_OPCODE_NORM_INV_MS_ARY[] = { NC_("SC_OPCODE_NORM_INV_MS", "Values of the inverse normal distribution."), - NC_("SC_OPCODE_NORM_INV_MS", "number"), + NC_("SC_OPCODE_NORM_INV_MS", "Number"), NC_("SC_OPCODE_NORM_INV_MS", "The probability value for which the inverse normal distribution is to be calculated."), - NC_("SC_OPCODE_NORM_INV_MS", "mean"), + NC_("SC_OPCODE_NORM_INV_MS", "Mean"), NC_("SC_OPCODE_NORM_INV_MS", "The mean value. The mean value of the normal distribution."), NC_("SC_OPCODE_NORM_INV_MS", "STDEV"), NC_("SC_OPCODE_NORM_INV_MS", "Standard deviation. The standard deviation of the normal distribution.") @@ -2333,7 +2333,7 @@ const char* SC_OPCODE_STD_NORM_DIST_MS_ARY[] = const char* SC_OPCODE_S_NORM_INV_ARY[] = { NC_("SC_OPCODE_S_NORM_INV", "Values of the inverse standard normal distribution."), - NC_("SC_OPCODE_S_NORM_INV", "number"), + NC_("SC_OPCODE_S_NORM_INV", "Number"), NC_("SC_OPCODE_S_NORM_INV", "The probability value for which the inverse standard normal distribution is to be calculated.") }; @@ -2341,7 +2341,7 @@ const char* SC_OPCODE_S_NORM_INV_ARY[] = const char* SC_OPCODE_S_NORM_INV_MS_ARY[] = { NC_("SC_OPCODE_S_NORM_INV_MS", "Values of the inverse standard normal distribution."), - NC_("SC_OPCODE_S_NORM_INV_MS", "number"), + NC_("SC_OPCODE_S_NORM_INV_MS", "Number"), NC_("SC_OPCODE_S_NORM_INV_MS", "The probability value for which the inverse standard normal distribution is to be calculated.") }; @@ -2351,7 +2351,7 @@ const char* SC_OPCODE_LOG_NORM_DIST_ARY[] = NC_("SC_OPCODE_LOG_NORM_DIST", "Values of the log normal distribution."), NC_("SC_OPCODE_LOG_NORM_DIST", "Number"), NC_("SC_OPCODE_LOG_NORM_DIST", "The value for which the log normal distribution is to be calculated."), - NC_("SC_OPCODE_LOG_NORM_DIST", "mean"), + NC_("SC_OPCODE_LOG_NORM_DIST", "Mean"), NC_("SC_OPCODE_LOG_NORM_DIST", "The mean value of the log normal distribution. It is set to 0 if omitted."), NC_("SC_OPCODE_LOG_NORM_DIST", "STDEV"), NC_("SC_OPCODE_LOG_NORM_DIST", "The standard deviation of the log normal distribution. It is set to 1 if omitted."), @@ -2365,7 +2365,7 @@ const char* SC_OPCODE_LOG_NORM_DIST_MS_ARY[] = NC_("SC_OPCODE_LOG_NORM_DIST_MS", "Values of the log normal distribution."), NC_("SC_OPCODE_LOG_NORM_DIST_MS", "Number"), NC_("SC_OPCODE_LOG_NORM_DIST_MS", "The value for which the log normal distribution is to be calculated."), - NC_("SC_OPCODE_LOG_NORM_DIST_MS", "mean"), + NC_("SC_OPCODE_LOG_NORM_DIST_MS", "Mean"), NC_("SC_OPCODE_LOG_NORM_DIST_MS", "The mean value of the log normal distribution."), NC_("SC_OPCODE_LOG_NORM_DIST_MS", "STDEV"), NC_("SC_OPCODE_LOG_NORM_DIST_MS", "The standard deviation of the log normal distribution."), @@ -2377,9 +2377,9 @@ const char* SC_OPCODE_LOG_NORM_DIST_MS_ARY[] = const char* SC_OPCODE_LOG_INV_ARY[] = { NC_("SC_OPCODE_LOG_INV", "Values of the inverse of the lognormal distribution."), - NC_("SC_OPCODE_LOG_INV", "number"), + NC_("SC_OPCODE_LOG_INV", "Number"), NC_("SC_OPCODE_LOG_INV", "The probability value for which the inverse log normal distribution is to be calculated."), - NC_("SC_OPCODE_LOG_INV", "mean"), + NC_("SC_OPCODE_LOG_INV", "Mean"), NC_("SC_OPCODE_LOG_INV", "Mean value. The mean value of the log normal distribution."), NC_("SC_OPCODE_LOG_INV", "STDEV"), NC_("SC_OPCODE_LOG_INV", "Standard deviation. The standard deviation of the log normal distribution.") @@ -2389,9 +2389,9 @@ const char* SC_OPCODE_LOG_INV_ARY[] = const char* SC_OPCODE_LOG_INV_MS_ARY[] = { NC_("SC_OPCODE_LOG_INV_MS", "Values of the inverse of the lognormal distribution."), - NC_("SC_OPCODE_LOG_INV_MS", "number"), + NC_("SC_OPCODE_LOG_INV_MS", "Number"), NC_("SC_OPCODE_LOG_INV_MS", "The probability value for which the inverse log normal distribution is to be calculated."), - NC_("SC_OPCODE_LOG_INV_MS", "mean"), + NC_("SC_OPCODE_LOG_INV_MS", "Mean"), NC_("SC_OPCODE_LOG_INV_MS", "Mean value. The mean value of the log normal distribution."), NC_("SC_OPCODE_LOG_INV_MS", "STDEV"), NC_("SC_OPCODE_LOG_INV_MS", "Standard deviation. The standard deviation of the log normal distribution.") @@ -2403,7 +2403,7 @@ const char* SC_OPCODE_EXP_DIST_ARY[] = NC_("SC_OPCODE_EXP_DIST", "Values of the exponential distribution."), NC_("SC_OPCODE_EXP_DIST", "Number"), NC_("SC_OPCODE_EXP_DIST", "The value to which the exponential distribution is to be calculated."), - NC_("SC_OPCODE_EXP_DIST", "lambda"), + NC_("SC_OPCODE_EXP_DIST", "Lambda"), NC_("SC_OPCODE_EXP_DIST", "The parameters of the exponential distribution."), NC_("SC_OPCODE_EXP_DIST", "C"), NC_("SC_OPCODE_EXP_DIST", "Cumulated. C=0 calculates the density function, C=1 the distribution.") @@ -2415,7 +2415,7 @@ const char* SC_OPCODE_EXP_DIST_MS_ARY[] = NC_("SC_OPCODE_EXP_DIST_MS", "Values of the exponential distribution."), NC_("SC_OPCODE_EXP_DIST_MS", "Number"), NC_("SC_OPCODE_EXP_DIST_MS", "The value to which the exponential distribution is to be calculated."), - NC_("SC_OPCODE_EXP_DIST_MS", "lambda"), + NC_("SC_OPCODE_EXP_DIST_MS", "Lambda"), NC_("SC_OPCODE_EXP_DIST_MS", "The parameters of the exponential distribution."), NC_("SC_OPCODE_EXP_DIST_MS", "C"), NC_("SC_OPCODE_EXP_DIST_MS", "Cumulated. C=0 calculates the density function, C=1 the distribution.") @@ -2427,9 +2427,9 @@ const char* SC_OPCODE_GAMMA_DIST_ARY[] = NC_("SC_OPCODE_GAMMA_DIST", "Returns the value of the probability density function or the cumulative distribution function for the Gamma distribution."), NC_("SC_OPCODE_GAMMA_DIST", "Number"), NC_("SC_OPCODE_GAMMA_DIST", "The value for which the gamma distribution is to be calculated."), - NC_("SC_OPCODE_GAMMA_DIST", "alpha"), + NC_("SC_OPCODE_GAMMA_DIST", "Alpha"), NC_("SC_OPCODE_GAMMA_DIST", "The Alpha parameter of the Gamma distribution."), - NC_("SC_OPCODE_GAMMA_DIST", "beta"), + NC_("SC_OPCODE_GAMMA_DIST", "Beta"), NC_("SC_OPCODE_GAMMA_DIST", "The Beta parameter of the Gamma distribution."), NC_("SC_OPCODE_GAMMA_DIST", "Cumulative"), NC_("SC_OPCODE_GAMMA_DIST", "0 or FALSE calculates the probability density function. Any other value or TRUE or omitted calculates the cumulative distribution function.") @@ -2441,9 +2441,9 @@ const char* SC_OPCODE_GAMMA_DIST_MS_ARY[] = NC_("SC_OPCODE_GAMMA_DIST_MS", "Returns the value of the probability density function or the cumulative distribution function for the Gamma distribution."), NC_("SC_OPCODE_GAMMA_DIST_MS", "Number"), NC_("SC_OPCODE_GAMMA_DIST_MS", "The value for which the gamma distribution is to be calculated."), - NC_("SC_OPCODE_GAMMA_DIST_MS", "alpha"), + NC_("SC_OPCODE_GAMMA_DIST_MS", "Alpha"), NC_("SC_OPCODE_GAMMA_DIST_MS", "The Alpha parameter of the Gamma distribution."), - NC_("SC_OPCODE_GAMMA_DIST_MS", "beta"), + NC_("SC_OPCODE_GAMMA_DIST_MS", "Beta"), NC_("SC_OPCODE_GAMMA_DIST_MS", "The Beta parameter of the Gamma distribution."), NC_("SC_OPCODE_GAMMA_DIST_MS", "Cumulative"), NC_("SC_OPCODE_GAMMA_DIST_MS", "0 or FALSE calculates the probability density function. Any other value or TRUE calculates the cumulative distribution function.") @@ -2455,9 +2455,9 @@ const char* SC_OPCODE_GAMMA_INV_ARY[] = NC_("SC_OPCODE_GAMMA_INV", "Values of the inverse gamma distribution."), NC_("SC_OPCODE_GAMMA_INV", "Number"), NC_("SC_OPCODE_GAMMA_INV", "The probability value for which the inverse gamma distribution is to be calculated."), - NC_("SC_OPCODE_GAMMA_INV", "alpha"), + NC_("SC_OPCODE_GAMMA_INV", "Alpha"), NC_("SC_OPCODE_GAMMA_INV", "The Alpha (shape) parameter of the Gamma distribution."), - NC_("SC_OPCODE_GAMMA_INV", "beta"), + NC_("SC_OPCODE_GAMMA_INV", "Beta"), NC_("SC_OPCODE_GAMMA_INV", "The Beta (scale) parameter of the Gamma distribution.") }; @@ -2467,9 +2467,9 @@ const char* SC_OPCODE_GAMMA_INV_MS_ARY[] = NC_("SC_OPCODE_GAMMA_INV_MS", "Values of the inverse gamma distribution."), NC_("SC_OPCODE_GAMMA_INV_MS", "Number"), NC_("SC_OPCODE_GAMMA_INV_MS", "The probability value for which the inverse gamma distribution is to be calculated."), - NC_("SC_OPCODE_GAMMA_INV_MS", "alpha"), + NC_("SC_OPCODE_GAMMA_INV_MS", "Alpha"), NC_("SC_OPCODE_GAMMA_INV_MS", "The Alpha (shape) parameter of the Gamma distribution."), - NC_("SC_OPCODE_GAMMA_INV_MS", "beta"), + NC_("SC_OPCODE_GAMMA_INV_MS", "Beta"), NC_("SC_OPCODE_GAMMA_INV_MS", "The Beta (scale) parameter of the Gamma distribution.") }; @@ -2503,11 +2503,11 @@ const char* SC_OPCODE_GAMMA_ARY[] = const char* SC_OPCODE_BETA_DIST_ARY[] = { NC_("SC_OPCODE_BETA_DIST", "Values of the beta distribution."), - NC_("SC_OPCODE_BETA_DIST", "number"), + NC_("SC_OPCODE_BETA_DIST", "Number"), NC_("SC_OPCODE_BETA_DIST", "The value for which the beta distribution is to be calculated."), - NC_("SC_OPCODE_BETA_DIST", "alpha"), + NC_("SC_OPCODE_BETA_DIST", "Alpha"), NC_("SC_OPCODE_BETA_DIST", "The Alpha parameter of the Beta distribution."), - NC_("SC_OPCODE_BETA_DIST", "beta"), + NC_("SC_OPCODE_BETA_DIST", "Beta"), NC_("SC_OPCODE_BETA_DIST", "The Beta parameter of the Beta distribution."), NC_("SC_OPCODE_BETA_DIST", "Start"), NC_("SC_OPCODE_BETA_DIST", "The starting value for the value interval of the distribution."), @@ -2521,11 +2521,11 @@ const char* SC_OPCODE_BETA_DIST_ARY[] = const char* SC_OPCODE_BETA_INV_ARY[] = { NC_("SC_OPCODE_BETA_INV", "Values of the inverse beta distribution."), - NC_("SC_OPCODE_BETA_INV", "number"), + NC_("SC_OPCODE_BETA_INV", "Number"), NC_("SC_OPCODE_BETA_INV", "The probability value for which the inverse beta distribution is to be calculated."), - NC_("SC_OPCODE_BETA_INV", "alpha"), + NC_("SC_OPCODE_BETA_INV", "Alpha"), NC_("SC_OPCODE_BETA_INV", "The Alpha parameter of the Beta distribution."), - NC_("SC_OPCODE_BETA_INV", "beta"), + NC_("SC_OPCODE_BETA_INV", "Beta"), NC_("SC_OPCODE_BETA_INV", "The Beta parameter of the Beta distribution."), NC_("SC_OPCODE_BETA_INV", "Start"), NC_("SC_OPCODE_BETA_INV", "The starting value for the value interval of the distribution."), @@ -2537,11 +2537,11 @@ const char* SC_OPCODE_BETA_INV_ARY[] = const char* SC_OPCODE_BETA_DIST_MS_ARY[] = { NC_("SC_OPCODE_BETA_DIST_MS", "Values of the beta distribution."), - NC_("SC_OPCODE_BETA_DIST_MS", "number"), + NC_("SC_OPCODE_BETA_DIST_MS", "Number"), NC_("SC_OPCODE_BETA_DIST_MS", "The value for which the beta distribution is to be calculated."), - NC_("SC_OPCODE_BETA_DIST_MS", "alpha"), + NC_("SC_OPCODE_BETA_DIST_MS", "Alpha"), NC_("SC_OPCODE_BETA_DIST_MS", "The Alpha parameter of the Beta distribution."), - NC_("SC_OPCODE_BETA_DIST_MS", "beta"), + NC_("SC_OPCODE_BETA_DIST_MS", "Beta"), NC_("SC_OPCODE_BETA_DIST_MS", "The Beta parameter of the Beta distribution."), NC_("SC_OPCODE_BETA_DIST_MS", "Cumulative"), NC_("SC_OPCODE_BETA_DIST_MS", "0 or FALSE for probability density function, any other value or TRUE or omitted for cumulative distribution function."), @@ -2555,11 +2555,11 @@ const char* SC_OPCODE_BETA_DIST_MS_ARY[] = const char* SC_OPCODE_BETA_INV_MS_ARY[] = { NC_("SC_OPCODE_BETA_INV_MS", "Values of the inverse beta distribution."), - NC_("SC_OPCODE_BETA_INV_MS", "number"), + NC_("SC_OPCODE_BETA_INV_MS", "Number"), NC_("SC_OPCODE_BETA_INV_MS", "The probability value for which the inverse beta distribution is to be calculated."), - NC_("SC_OPCODE_BETA_INV_MS", "alpha"), + NC_("SC_OPCODE_BETA_INV_MS", "Alpha"), NC_("SC_OPCODE_BETA_INV_MS", "The Alpha parameter of the Beta distribution."), - NC_("SC_OPCODE_BETA_INV_MS", "beta"), + NC_("SC_OPCODE_BETA_INV_MS", "Beta"), NC_("SC_OPCODE_BETA_INV_MS", "The Beta parameter of the Beta distribution."), NC_("SC_OPCODE_BETA_INV_MS", "Start"), NC_("SC_OPCODE_BETA_INV_MS", "The starting value for the value interval of the distribution."), @@ -2575,7 +2575,7 @@ const char* SC_OPCODE_WEIBULL_ARY[] = NC_("SC_OPCODE_WEIBULL", "The value for which the Weibull distribution is to be calculated."), NC_("SC_OPCODE_WEIBULL", "Alpha"), NC_("SC_OPCODE_WEIBULL", "The Alpha parameter of the Weibull distribution."), - NC_("SC_OPCODE_WEIBULL", "beta"), + NC_("SC_OPCODE_WEIBULL", "Beta"), NC_("SC_OPCODE_WEIBULL", "The Beta parameter of the Weibull distribution."), NC_("SC_OPCODE_WEIBULL", "C"), NC_("SC_OPCODE_WEIBULL", "Cumulated. C=0 calculates the density function, C=1 the distribution.") @@ -2589,7 +2589,7 @@ const char* SC_OPCODE_WEIBULL_MS_ARY[] = NC_("SC_OPCODE_WEIBULL_MS", "The value for which the Weibull distribution is to be calculated."), NC_("SC_OPCODE_WEIBULL_MS", "Alpha"), NC_("SC_OPCODE_WEIBULL_MS", "The Alpha parameter of the Weibull distribution."), - NC_("SC_OPCODE_WEIBULL_MS", "beta"), + NC_("SC_OPCODE_WEIBULL_MS", "Beta"), NC_("SC_OPCODE_WEIBULL_MS", "The Beta parameter of the Weibull distribution."), NC_("SC_OPCODE_WEIBULL_MS", "C"), NC_("SC_OPCODE_WEIBULL_MS", "Cumulated. C=0 calculates the density function, C=1 the distribution.") @@ -2601,11 +2601,11 @@ const char* SC_OPCODE_HYP_GEOM_DIST_ARY[] = NC_("SC_OPCODE_HYP_GEOM_DIST", "Values of the hypergeometric distribution."), NC_("SC_OPCODE_HYP_GEOM_DIST", "X"), NC_("SC_OPCODE_HYP_GEOM_DIST", "The number of successes in the sample."), - NC_("SC_OPCODE_HYP_GEOM_DIST", "n_sample"), + NC_("SC_OPCODE_HYP_GEOM_DIST", "N sample"), NC_("SC_OPCODE_HYP_GEOM_DIST", "The size of the sample."), - NC_("SC_OPCODE_HYP_GEOM_DIST", "successes"), + NC_("SC_OPCODE_HYP_GEOM_DIST", "Successes"), NC_("SC_OPCODE_HYP_GEOM_DIST", "The number of successes in the population."), - NC_("SC_OPCODE_HYP_GEOM_DIST", "n_population"), + NC_("SC_OPCODE_HYP_GEOM_DIST", "N population"), NC_("SC_OPCODE_HYP_GEOM_DIST", "The population size."), NC_("SC_OPCODE_HYP_GEOM_DIST", "Cumulative"), NC_("SC_OPCODE_HYP_GEOM_DIST", "Cumulated. TRUE calculates the cumulative distribution function, FALSE the probability mass function.") @@ -2617,11 +2617,11 @@ const char* SC_OPCODE_HYP_GEOM_DIST_MS_ARY[] = NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "Values of the hypergeometric distribution."), NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "X"), NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "The number of successes in the sample."), - NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "n_sample"), + NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "N sample"), NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "The size of the sample."), - NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "successes"), + NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "Successes"), NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "The number of successes in the population."), - NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "n_population"), + NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "N population"), NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "The population size."), NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "Cumulative"), NC_("SC_OPCODE_HYP_GEOM_DIST_MS", "Cumulated. TRUE calculates the cumulative distribution function, FALSE the probability mass function.") @@ -2633,9 +2633,9 @@ const char* SC_OPCODE_T_DIST_ARY[] = NC_("SC_OPCODE_T_DIST", "Returns the t-distribution."), NC_("SC_OPCODE_T_DIST", "Number"), NC_("SC_OPCODE_T_DIST", "The value for which the T distribution is to be calculated."), - NC_("SC_OPCODE_T_DIST", "degrees_freedom"), + NC_("SC_OPCODE_T_DIST", "Degrees freedom"), NC_("SC_OPCODE_T_DIST", "The degrees of freedom of the T distribution."), - NC_("SC_OPCODE_T_DIST", "mode"), + NC_("SC_OPCODE_T_DIST", "Mode"), NC_("SC_OPCODE_T_DIST", "Mode = 1 calculates the one-tailed test, 2 = two-tailed distribution.") }; @@ -2645,7 +2645,7 @@ const char* SC_OPCODE_T_DIST_2T_ARY[] = NC_("SC_OPCODE_T_DIST_2T", "Returns the two-tailed t-distribution."), NC_("SC_OPCODE_T_DIST_2T", "Number"), NC_("SC_OPCODE_T_DIST_2T", "The value for which the T distribution is to be calculated."), - NC_("SC_OPCODE_T_DIST_2T", "degrees_freedom"), + NC_("SC_OPCODE_T_DIST_2T", "Degrees freedom"), NC_("SC_OPCODE_T_DIST_2T", "The degrees of freedom of the T distribution.") }; @@ -2655,9 +2655,9 @@ const char* SC_OPCODE_T_DIST_MS_ARY[] = NC_("SC_OPCODE_T_DIST_MS", "Returns the t-distribution."), NC_("SC_OPCODE_T_DIST_MS", "Number"), NC_("SC_OPCODE_T_DIST_MS", "The value for which the T distribution is to be calculated."), - NC_("SC_OPCODE_T_DIST_MS", "degrees_freedom"), + NC_("SC_OPCODE_T_DIST_MS", "Degrees freedom"), NC_("SC_OPCODE_T_DIST_MS", "The degrees of freedom of the T distribution."), - NC_("SC_OPCODE_T_DIST_MS", "cumulative"), + NC_("SC_OPCODE_T_DIST_MS", "Cumulative"), NC_("SC_OPCODE_T_DIST_MS", "True calculates the cumulative distribution function, false the probability density function.") }; @@ -2667,7 +2667,7 @@ const char* SC_OPCODE_T_DIST_RT_ARY[] = NC_("SC_OPCODE_T_DIST_RT", "Returns the right-tailed t-distribution."), NC_("SC_OPCODE_T_DIST_RT", "Number"), NC_("SC_OPCODE_T_DIST_RT", "The value for which the T distribution is to be calculated."), - NC_("SC_OPCODE_T_DIST_RT", "degrees_freedom"), + NC_("SC_OPCODE_T_DIST_RT", "Degrees freedom"), NC_("SC_OPCODE_T_DIST_RT", "The degrees of freedom of the T distribution.") }; @@ -2675,9 +2675,9 @@ const char* SC_OPCODE_T_DIST_RT_ARY[] = const char* SC_OPCODE_T_INV_ARY[] = { NC_("SC_OPCODE_T_INV", "Values of the inverse t-distribution."), - NC_("SC_OPCODE_T_INV", "number"), + NC_("SC_OPCODE_T_INV", "Number"), NC_("SC_OPCODE_T_INV", "The probability value for which the inverse T distribution is to be calculated."), - NC_("SC_OPCODE_T_INV", "degrees_freedom"), + NC_("SC_OPCODE_T_INV", "Degrees freedom"), NC_("SC_OPCODE_T_INV", "The degrees of freedom of the T distribution.") }; @@ -2685,9 +2685,9 @@ const char* SC_OPCODE_T_INV_ARY[] = const char* SC_OPCODE_T_INV_MS_ARY[] = { NC_("SC_OPCODE_T_INV_MS", "Values of the left-tailed inverse t-distribution."), - NC_("SC_OPCODE_T_INV_MS", "number"), + NC_("SC_OPCODE_T_INV_MS", "Number"), NC_("SC_OPCODE_T_INV_MS", "The probability value for which the inverse T distribution is to be calculated."), - NC_("SC_OPCODE_T_INV_MS", "degrees_freedom"), + NC_("SC_OPCODE_T_INV_MS", "Degrees freedom"), NC_("SC_OPCODE_T_INV_MS", "The degrees of freedom of the T distribution.") }; @@ -2695,9 +2695,9 @@ const char* SC_OPCODE_T_INV_MS_ARY[] = const char* SC_OPCODE_T_INV_2T_ARY[] = { NC_("SC_OPCODE_T_INV_2T", "Values of the two-tailed inverse t-distribution."), - NC_("SC_OPCODE_T_INV_2T", "number"), + NC_("SC_OPCODE_T_INV_2T", "Number"), NC_("SC_OPCODE_T_INV_2T", "The probability value for which the inverse T distribution is to be calculated."), - NC_("SC_OPCODE_T_INV_2T", "degrees_freedom"), + NC_("SC_OPCODE_T_INV_2T", "Degrees freedom"), NC_("SC_OPCODE_T_INV_2T", "The degrees of freedom of the T distribution.") }; @@ -2707,9 +2707,9 @@ const char* SC_OPCODE_F_DIST_ARY[] = NC_("SC_OPCODE_F_DIST", "Values of the F probability distribution."), NC_("SC_OPCODE_F_DIST", "Number"), NC_("SC_OPCODE_F_DIST", "The value for which the F distribution is to be calculated."), - NC_("SC_OPCODE_F_DIST", "degrees_freedom_1"), + NC_("SC_OPCODE_F_DIST", "Degrees freedom 1"), NC_("SC_OPCODE_F_DIST", "The degrees of freedom in the numerator of the F distribution."), - NC_("SC_OPCODE_F_DIST", "degrees_freedom_2"), + NC_("SC_OPCODE_F_DIST", "Degrees freedom 2"), NC_("SC_OPCODE_F_DIST", "The degrees of freedom in the denominator of the F distribution.") }; @@ -2719,11 +2719,11 @@ const char* SC_OPCODE_F_DIST_LT_ARY[] = NC_("SC_OPCODE_F_DIST_LT", "Values of the left tail F probability distribution."), NC_("SC_OPCODE_F_DIST_LT", "Number"), NC_("SC_OPCODE_F_DIST_LT", "The value for which the F distribution is to be calculated."), - NC_("SC_OPCODE_F_DIST_LT", "degrees_freedom_1"), + NC_("SC_OPCODE_F_DIST_LT", "Degrees freedom 1"), NC_("SC_OPCODE_F_DIST_LT", "The degrees of freedom in the numerator of the F distribution."), - NC_("SC_OPCODE_F_DIST_LT", "degrees_freedom_2"), + NC_("SC_OPCODE_F_DIST_LT", "Degrees freedom 2"), NC_("SC_OPCODE_F_DIST_LT", "The degrees of freedom in the denominator of the F distribution."), - NC_("SC_OPCODE_F_DIST_LT", "cumulative"), + NC_("SC_OPCODE_F_DIST_LT", "Cumulative"), NC_("SC_OPCODE_F_DIST_LT", "Cumulative distribution function (TRUE) or probability density function (FALSE).") }; @@ -2733,9 +2733,9 @@ const char* SC_OPCODE_F_DIST_RT_ARY[] = NC_("SC_OPCODE_F_DIST_RT", "Values of the right tail F probability distribution."), NC_("SC_OPCODE_F_DIST_RT", "Number"), NC_("SC_OPCODE_F_DIST_RT", "The value for which the F distribution is to be calculated."), - NC_("SC_OPCODE_F_DIST_RT", "degrees_freedom_1"), + NC_("SC_OPCODE_F_DIST_RT", "Degrees freedom 1"), NC_("SC_OPCODE_F_DIST_RT", "The degrees of freedom in the numerator of the F distribution."), - NC_("SC_OPCODE_F_DIST_RT", "degrees_freedom_2"), + NC_("SC_OPCODE_F_DIST_RT", "Degrees freedom 2"), NC_("SC_OPCODE_F_DIST_RT", "The degrees of freedom in the denominator of the F distribution.") }; @@ -2743,11 +2743,11 @@ const char* SC_OPCODE_F_DIST_RT_ARY[] = const char* SC_OPCODE_F_INV_ARY[] = { NC_("SC_OPCODE_F_INV", "Values of the inverse F distribution."), - NC_("SC_OPCODE_F_INV", "number"), + NC_("SC_OPCODE_F_INV", "Number"), NC_("SC_OPCODE_F_INV", "The probability value for which the inverse F distribution is to be calculated."), - NC_("SC_OPCODE_F_INV", "degrees_freedom_1"), + NC_("SC_OPCODE_F_INV", "Degrees freedom 1"), NC_("SC_OPCODE_F_INV", "The degrees of freedom in the numerator of the F distribution."), - NC_("SC_OPCODE_F_INV", "degrees_freedom_2"), + NC_("SC_OPCODE_F_INV", "Degrees freedom 2"), NC_("SC_OPCODE_F_INV", "The degrees of freedom in the denominator of the F distribution.") }; @@ -2755,11 +2755,11 @@ const char* SC_OPCODE_F_INV_ARY[] = const char* SC_OPCODE_F_INV_LT_ARY[] = { NC_("SC_OPCODE_F_INV_LT", "Values of the inverse left tail F distribution."), - NC_("SC_OPCODE_F_INV_LT", "number"), + NC_("SC_OPCODE_F_INV_LT", "Number"), NC_("SC_OPCODE_F_INV_LT", "The probability value for which the inverse F distribution is to be calculated."), - NC_("SC_OPCODE_F_INV_LT", "degrees_freedom_1"), + NC_("SC_OPCODE_F_INV_LT", "Degrees freedom 1"), NC_("SC_OPCODE_F_INV_LT", "The degrees of freedom in the numerator of the F distribution."), - NC_("SC_OPCODE_F_INV_LT", "degrees_freedom_2"), + NC_("SC_OPCODE_F_INV_LT", "Degrees freedom 2"), NC_("SC_OPCODE_F_INV_LT", "The degrees of freedom in the denominator of the F distribution.") }; @@ -2767,11 +2767,11 @@ const char* SC_OPCODE_F_INV_LT_ARY[] = const char* SC_OPCODE_F_INV_RT_ARY[] = { NC_("SC_OPCODE_F_INV_RT", "Values of the inverse right tail F distribution."), - NC_("SC_OPCODE_F_INV_RT", "number"), + NC_("SC_OPCODE_F_INV_RT", "Number"), NC_("SC_OPCODE_F_INV_RT", "The probability value for which the inverse F distribution is to be calculated."), - NC_("SC_OPCODE_F_INV_RT", "degrees_freedom_1"), + NC_("SC_OPCODE_F_INV_RT", "Degrees freedom 1"), NC_("SC_OPCODE_F_INV_RT", "The degrees of freedom in the numerator of the F distribution."), - NC_("SC_OPCODE_F_INV_RT", "degrees_freedom_2"), + NC_("SC_OPCODE_F_INV_RT", "Degrees freedom 2"), NC_("SC_OPCODE_F_INV_RT", "The degrees of freedom in the denominator of the F distribution.") }; @@ -2781,7 +2781,7 @@ const char* SC_OPCODE_CHI_DIST_ARY[] = NC_("SC_OPCODE_CHI_DIST", "Returns the right-tail probability of the chi-square distribution."), NC_("SC_OPCODE_CHI_DIST", "Number"), NC_("SC_OPCODE_CHI_DIST", "The value for which the chi square distribution is to be calculated."), - NC_("SC_OPCODE_CHI_DIST", "degrees_freedom"), + NC_("SC_OPCODE_CHI_DIST", "Degrees freedom"), NC_("SC_OPCODE_CHI_DIST", "The degrees of freedom of the chi square distribution.") }; @@ -2791,7 +2791,7 @@ const char* SC_OPCODE_CHI_DIST_MS_ARY[] = NC_("SC_OPCODE_CHI_DIST_MS", "Returns the right-tail probability of the chi-square distribution."), NC_("SC_OPCODE_CHI_DIST_MS", "Number"), NC_("SC_OPCODE_CHI_DIST_MS", "The value for which the chi square distribution is to be calculated."), - NC_("SC_OPCODE_CHI_DIST_MS", "degrees_freedom"), + NC_("SC_OPCODE_CHI_DIST_MS", "Degrees freedom"), NC_("SC_OPCODE_CHI_DIST_MS", "The degrees of freedom of the chi square distribution.") }; @@ -2826,9 +2826,9 @@ const char* SC_OPCODE_CHISQ_DIST_MS_ARY[] = const char* SC_OPCODE_CHI_INV_ARY[] = { NC_("SC_OPCODE_CHI_INV", "Values of the inverse of CHIDIST(x; DegreesOfFreedom)."), - NC_("SC_OPCODE_CHI_INV", "number"), + NC_("SC_OPCODE_CHI_INV", "Number"), NC_("SC_OPCODE_CHI_INV", "The probability value for which the inverse chi square distribution is to be calculated."), - NC_("SC_OPCODE_CHI_INV", "degrees_freedom"), + NC_("SC_OPCODE_CHI_INV", "Degrees freedom"), NC_("SC_OPCODE_CHI_INV", "The degrees of freedom of the chi square distribution.") }; @@ -2837,9 +2837,9 @@ const char* SC_OPCODE_CHI_INV_ARY[] = const char* SC_OPCODE_CHI_INV_MS_ARY[] = { NC_("SC_OPCODE_CHI_INV_MS", "Values of the inverse of CHIDIST(x; DegreesOfFreedom)."), - NC_("SC_OPCODE_CHI_INV_MS", "number"), + NC_("SC_OPCODE_CHI_INV_MS", "Number"), NC_("SC_OPCODE_CHI_INV_MS", "The probability value for which the inverse chi square distribution is to be calculated."), - NC_("SC_OPCODE_CHI_INV_MS", "degrees_freedom"), + NC_("SC_OPCODE_CHI_INV_MS", "Degrees freedom"), NC_("SC_OPCODE_CHI_INV_MS", "The degrees of freedom of the chi square distribution.") }; @@ -2872,7 +2872,7 @@ const char* SC_OPCODE_STANDARD_ARY[] = NC_("SC_OPCODE_STANDARD", "Converts a random variable to a normalized value."), NC_("SC_OPCODE_STANDARD", "Number"), NC_("SC_OPCODE_STANDARD", "The value to be standardized."), - NC_("SC_OPCODE_STANDARD", "mean"), + NC_("SC_OPCODE_STANDARD", "Mean"), NC_("SC_OPCODE_STANDARD", "The mean value used for moving."), NC_("SC_OPCODE_STANDARD", "STDEV"), NC_("SC_OPCODE_STANDARD", "The standard deviation used for scaling.") @@ -2882,9 +2882,9 @@ const char* SC_OPCODE_STANDARD_ARY[] = const char* SC_OPCODE_PERMUT_ARY[] = { NC_("SC_OPCODE_PERMUT", "Returns the number of permutations for a given number of elements without repetition."), - NC_("SC_OPCODE_PERMUT", "Count_1"), + NC_("SC_OPCODE_PERMUT", "Count 1"), NC_("SC_OPCODE_PERMUT", "The total number of elements."), - NC_("SC_OPCODE_PERMUT", "Count_2"), + NC_("SC_OPCODE_PERMUT", "Count 2"), NC_("SC_OPCODE_PERMUT", "The selection number taken from the elements.") }; @@ -2892,9 +2892,9 @@ const char* SC_OPCODE_PERMUT_ARY[] = const char* SC_OPCODE_PERMUTATION_A_ARY[] = { NC_("SC_OPCODE_PERMUTATION_A", "Returns the number of permutations for a given number of objects (repetition allowed)."), - NC_("SC_OPCODE_PERMUTATION_A", "Count_1"), + NC_("SC_OPCODE_PERMUTATION_A", "Count 1"), NC_("SC_OPCODE_PERMUTATION_A", "The total number of elements."), - NC_("SC_OPCODE_PERMUTATION_A", "Count_2"), + NC_("SC_OPCODE_PERMUTATION_A", "Count 2"), NC_("SC_OPCODE_PERMUTATION_A", "The selection number taken from the elements.") }; @@ -2902,11 +2902,11 @@ const char* SC_OPCODE_PERMUTATION_A_ARY[] = const char* SC_OPCODE_CONFIDENCE_ARY[] = { NC_("SC_OPCODE_CONFIDENCE", "Returns a (1-alpha) confidence interval for a normal distribution."), - NC_("SC_OPCODE_CONFIDENCE", "alpha"), + NC_("SC_OPCODE_CONFIDENCE", "Alpha"), NC_("SC_OPCODE_CONFIDENCE", "The level of the confidence interval."), NC_("SC_OPCODE_CONFIDENCE", "STDEV"), NC_("SC_OPCODE_CONFIDENCE", "The standard deviation of the population."), - NC_("SC_OPCODE_CONFIDENCE", "size"), + NC_("SC_OPCODE_CONFIDENCE", "Size"), NC_("SC_OPCODE_CONFIDENCE", "The size of the population.") }; @@ -2914,11 +2914,11 @@ const char* SC_OPCODE_CONFIDENCE_ARY[] = const char* SC_OPCODE_CONFIDENCE_N_ARY[] = { NC_("SC_OPCODE_CONFIDENCE_N", "Returns a (1-alpha) confidence interval for a normal distribution."), - NC_("SC_OPCODE_CONFIDENCE_N", "alpha"), + NC_("SC_OPCODE_CONFIDENCE_N", "Alpha"), NC_("SC_OPCODE_CONFIDENCE_N", "The level of the confidence interval."), NC_("SC_OPCODE_CONFIDENCE_N", "STDEV"), NC_("SC_OPCODE_CONFIDENCE_N", "The standard deviation of the population."), - NC_("SC_OPCODE_CONFIDENCE_N", "size"), + NC_("SC_OPCODE_CONFIDENCE_N", "Size"), NC_("SC_OPCODE_CONFIDENCE_N", "The size of the population.") }; @@ -2926,11 +2926,11 @@ const char* SC_OPCODE_CONFIDENCE_N_ARY[] = const char* SC_OPCODE_CONFIDENCE_T_ARY[] = { NC_("SC_OPCODE_CONFIDENCE_T", "Returns a (1-alpha) confidence interval for a Student's t distribution."), - NC_("SC_OPCODE_CONFIDENCE_T", "alpha"), + NC_("SC_OPCODE_CONFIDENCE_T", "Alpha"), NC_("SC_OPCODE_CONFIDENCE_T", "The level of the confidence interval."), NC_("SC_OPCODE_CONFIDENCE_T", "STDEV"), NC_("SC_OPCODE_CONFIDENCE_T", "The standard deviation of the population."), - NC_("SC_OPCODE_CONFIDENCE_T", "size"), + NC_("SC_OPCODE_CONFIDENCE_T", "Size"), NC_("SC_OPCODE_CONFIDENCE_T", "The size of the population.") }; @@ -2938,7 +2938,7 @@ const char* SC_OPCODE_CONFIDENCE_T_ARY[] = const char* SC_OPCODE_Z_TEST_ARY[] = { ... etc. - the rest is truncated _______________________________________________ Libreoffice-commits mailing list libreoffice-comm...@lists.freedesktop.org https://lists.freedesktop.org/mailman/listinfo/libreoffice-commits