Re: [R] Writing data onto xlsx file without cell formatting

I think, this is what you are looking for: http://stackoverflow.com/questions/11228942/write-from-r-into-template-in-excel-while-preserving-formatting > On 11 Jul 2016, at 03:43,

Re: [R] Statistical Test

Hi Julia, You seem to be looking for a test for trend in proportions in the first question. Have a look at this page: http://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/R/R6_CategoricalDataAnalysis/R6_CategoricalDataAnalysis6.html The second question may require GLMs using experimental condition as a

Re: [R] Help- Converting the ODE equation to fuzzy logic in R

The only reason I can imagine for such a "need" is that you have been assigned homework and there is a no-homework policy on this list. That said, Google came up with at least one hit when I looked. You really ought to read the Posting Guide before posting again. -- Sent from my phone. Please

[R] Course in Alice Springs: Data exploration, regression, GLM & GAM

We would like to announce the following statistics course: Course: Data exploration, regression, GLM & GAM with introduction to R Where: Charles Darwin University, Alice Springs, Australia When: 1-5 August 2016 Course website: http://www.highstat.com/statscourse.htm Course flyer:

[R] Help- Converting the ODE equation to fuzzy logic in R

​Hi one and all , i have few ordinary differential equations ​(ODE's) and i need to transform it to fuzzy logic by using any package work with R language or any R code that convert these equations. the fuzzy logic must provides the same or approximate result that from ODE. Thanks for your

[R] Writing data onto xlsx file without cell formatting

Hi again, I am trying to write a data frame to an existing Excel file (xlsx) from row 5 and column 6 of the 1st Sheet. I was going through a previous instruction which is available here :

Re: [R-es] Resumen de R-help-es, Vol 89, Envío 9

Jose Luis Te recomiendo que uses el paquete data.table El 10 de julio de 2016, 4:53, escribió: > Envíe los mensajes para la lista R-help-es a > r-help-es@r-project.org > > Para subscribirse o anular su subscripción a través de la WEB >

Re: [R] How to make the "apply" faster

Thanks for your response. It is faster than before but still very slow. Any other suggestion ? -Deb On Sun, Jul 10, 2016 at 2:13 PM, William Dunlap wrote: > There is no need to test that a logical equals TRUE: 'logicalVector==TRUE' > is the > same as just 'logicalVector'. >

Re: [R] How to make the "apply" faster

There is no need to test that a logical equals TRUE: 'logicalVector==TRUE' is the same as just 'logicalVector'. There is no need to convert logical vectors to numeric, since rle() works on both types. There is no need to use length(subset(x, logicalVector)) to count how many elements in

[R] about smwrgraphs package

Has anyone used smwrGraphs package? I have some problems and think it may be better to discuss if you have been using it. Thanks very much. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more,

Re: [R] How to make the "apply" faster

Hi Everyone, Thanks for your help. It works. I have similar problem when I am calculating number of spell. I am also calculation spell (definition: period of two or more days where x exceeds 70) using similar way: *new = apply(x,c(1,2,4),FUN=function(y) {fun.spell.deb(y, 70)})* where

Re: [R] dependent p.values in R

Hello Fernando First, ask yourself what Gosta Ekman would have said if you asked him this question. He would have asked "does it make any difference to your conclusion?" He might also have asked you "Did you do a visual test?" Plot your data as a QQ plot or density plot? If the test

Re: [R] dependent p.values in R

Fernando Marmolejo Ramos psychology.su.se> writes: > > hi marc > > say i have a vector with some x number of observations > > x = c(23, 56, 123, . ) > > and i want to know how normal it is > > as there are many normality tests, i want to combine their p.values > > so, suppose i use

[R] Statistical Test

Dear R-community, Thanks for replying to my previous post. I would need some more help, thoug. I am performing statistical analysis on chidlren's accuracy rates as a dependent variable and two predictor variables with two levels each (syntax - subject vs object; internal NP position - pre vs

Re: [R] dependent p.values

Le 09/07/2016 à 17:17, Fernando Marmolejo Ramos a écrit : hi all does any one know a method to combine dependent p.values? First, it is a stats question and not a R question. So you could have better chance to ask this in stackexchange forum. Second, your question is difficult to answer

Re: [R] column name changes

Hi Kristi, The period is there for a reason. If you want to extract that column like this: x<-data.frame(a=1:3,b=2:4,c=3:5) > names(x)[3]<-"dif of AB" > x a b dif of AB 1 1 2 3 2 2 3 4 3 3 4 5 > x$dif of AB Error: unexpected symbol in "x$dif of" > x$'dif of AB' [1] 3 4 5

Re: [R] [FORGED] column name changes

On 10/07/16 17:34, Kristi Glover wrote: Hi R user, I wanted to change a column name with new one but it comes with "." where there was space. Is there any way to keep my formate with space? Here what I found Images<-stack(imageA,imageB,imageC) names(Images)[3]<-c("dif of AB") head(Images) It

Re: [R] dependent p.values in R

hi marc say i have a vector with some x number of observations x = c(23, 56, 123, . ) and i want to know how normal it is as there are many normality tests, i want to combine their p.values so, suppose i use shapiro.wilk, anderson darling and jarque bera and each will give a pvalue i

Re: [R] Reading a large directory of compressed zips into a data frame

> On Jul 9, 2016, at 10:59 PM, Giles Bischoff wrote: > > Hello R Programmers! > I was wondering if y'all could help me. I'm trying to read data from a > directory containing 332 compressed zips all with about 1000 lines (or > more) of data into a data frame. I have it so

[R] Reading a large directory of compressed zips into a data frame

Hello R Programmers! I was wondering if y'all could help me. I'm trying to read data from a directory containing 332 compressed zips all with about 1000 lines (or more) of data into a data frame. I have it so that the directory is set to the file with the zips in it. I figured this way when I