Hi all,
Is there a function in R that handle nonparametric model for survival
analysis (Cox or Weibull)?
Thanks a lot
Val
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function sm.regression
Thanks
Val
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Error in file(file, r) : cannot open the connection
In addition: Warning message:
In file(file, r) : cannot open file 'Rossi': No such file or
directory
Rossi[1:5,1:10]
Error: object 'Rossi' not found
Thank you for your help in advance
Val
The working directory is
getwd()
[1] C:/Documents and Settings/Val/My Documents
The data file(Rossi.dat) and the script(Rossi.R) are in
C:/Documents and Settings/Val/My Documents/R_data/prd
How should I write to read the file?
source(???) # what should be included here?
Rossi
Val, please take it slow, you are missing basic stuff here.
(1) Windows Explorer may hide extensions; the 'Type' column should
read 'R file' anyway.
* Yes I looked at it and it only shows type. To check I downloaded
another script with R extension test.R and the type column shows
On Wed, Oct 28, 2009 at 11:59 AM, David Winsemius dwinsem...@comcast.netwrote:
On Oct 28, 2009, at 11:46 AM, Val wrote:
Val, please take it slow, you are missing basic stuff here.
(1) Windows Explorer may hide extensions; the 'Type' column should
read 'R file' anyway.
* Yes I looked
On Wed, Oct 28, 2009 at 1:08 PM, David Winsemius dwinsem...@comcast.netwrote:
On Oct 28, 2009, at 12:21 PM, Val wrote:
On Wed, Oct 28, 2009 at 11:59 AM, David Winsemius
dwinsem...@comcast.netwrote:
On Oct 28, 2009, at 11:46 AM, Val wrote:
Val, please take it slow, you are missing
by their occurrence.
Below is the output that I want
10=3
6=2
4=2
9=1
5=1
7=1
3=1
How do I do it in R?
Thanks in advance
Val
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Hi all,
I fitted a model say with five
xc-lm( y~x1,x2,x3,x4,x5)
I want to plot the residuals for each factor and I used this,
plot(xc,residuals=TRUE,se=TRUE,pch=.)
I only get the plot of the last factor (i.e., x5). I think it is
overwriting.
How can I send the five plots into a file? I
Val
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and provide commented, minimal, self-contained
Hi all,
Assume that I have a data set (xcv) with several variables and some of
the variables have a missing observation represented by -9 as shown below.
I want to exclude these observations from the analysis ( as a NA). Is
there a command that I can do it for the entire data set
Hi all
Assume I have a data set xx;
Group: 1=group1 , 2=group2
IQ: 1= High, 0 =low
fit - glm(IQ ~group, data = xx, family = binomial())
summary(fit)
Results
Estimate Std. Error z value Pr(|z|)
(Intercept) -2.55456 0.210 -12.273 5e-16 ***
group 0.36180
does the odd ratio 1.43359 is interpreted?
in the group1 the IQ score increase by 1.43359 compared to group 2
On Mon, Jan 25, 2010 at 10:05 AM, Mohamed Lajnef
mohamed.laj...@inserm.fr wrote:
Hi val,
Val a écrit :
Hi all
Assume I have a data set xx;
Group: 1=group1 , 2=group2
IQ: 1
Hi all,
Assume the following function that generate a random number.
z1-function (n, eta)
{
wv - runif(n)
wz - (-1/eta) * log(wv)
wz
}
y - z1(100,4)
mean(y)
I want to run this function say 1000 times and I want to count if
the mean(y) outside the following range 0.20
Thank you Henrique,
However,
F1-sum(!findInterval(colMeans(replicate(100, z1(100, 4))), 0.2:0.3))
F2-sum(findInterval(colMeans(replicate(100, z1(100, 4))), 0.2:0.3))
the sum of the two (F1+F2) = number of replicates (in this case 100).
Sometimes I do not get that sum. Do you know why?
Val
is highly appreciated in Advance
Val K
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,] 3 1 2 125
[4,] 4 1 0 126
[5,] 5 3 4 127
[6,] 6 0 5 128
[7,] 7 1 3 130
Thanks again
Val
On Sun, Mar 28, 2010 at 5:09 PM, jim holtman jholt...@gmail.com wrote
v3
1 0 0 -9 -9 -9
2 0 0 -9 -9 -9
3 1 2 2.5 3.4 302
4 1 0 8.6 2.9 317
5 3 2 9.7 4.0 325
6 5 4 7.5 1.9 296
Any help is highly appreciated in advance,
Val
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Hi all,
I am facing difficulty on how to use bootstrap sampling and
below is my example of function.
Read a data , use some functions and use iteration to find the solution(
ie, convergence is reached). I want to use bootstrap approach to do it
several times (200 or 300 times) this whole
Hi all,
Assume I have a data set collected in a related family.
dat - read.table(textConnection( Id Father Mother x y
1 0 0 15 26
2 0 0 18 14
3 1 2 12 25
4 0 2 15 30
5 1 0 19 28), header=TRUE)
xx=dat$x
yy=dat$y
I want to analyze the
Hi all,
Assume I have a matrix
xv= [1 0 0 0 0 12,
0 1 0 0 0 10,
*0 0 1 0 0 -9,*
0 0 0 1 0 20,
* 0 0 0 0 1 -5]*
if the last column of xv less than 0 then I want to set zero the entire
row.
The desired output looks like the following. In this case row 3 and row 5
are set
, header = T) :
incomplete final line found by readTableHeader on 'G:/test.xlsx'
Did I miss something there?
Your help is highly appreciated
Val
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will be used
x
[1] 0 1 2 3 4 5
That command added 1 to each element.
But I want like this 0 0 1 2 3 4
Can anybody help me?
Thanks
Val
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Now I got results as I wanted.
Thank you all.
On Wed, Mar 7, 2012 at 2:51 PM, AAsk aa2e...@lycos.co.uk wrote:
x - -1:4
x0 # returns TRUE (1) or FALSE (0)
[1] TRUE FALSE FALSE FALSE FALSE FALSE
x+as.numeric(x0)
[1] 0 0 1 2 3 4
__
anyone help me out?
In SAS I used to do it using proc rank.
thanks in advance
Val
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that helps,
Michael
On Tue, Apr 3, 2012 at 8:47 AM, Val valkr...@gmail.com wrote:
Hi all,
Assume that I have the following 10 data points.
x=c( 46, 125 , 36 ,193, 209, 78, 66, 242 , 297 , 45)
sort x and get the following
y= (36 , 45 , 46, 66, 78, 125,193, 209, 242, 297)
I want
which is not the default for cut() either (to my continued amazement).
But let me add the method I use when doing it by hand:
cut(x, quantile(x, prob=seq(0, 1, length=ngrps+1)), include.lowest=TRUE)
--
David.
Michael
On Tue, Apr 3, 2012 at 9:31 AM, Val valkr...@gmail.com wrote:
Thank
$gxc
it did not work for me.
On Tue, Apr 3, 2012 at 10:15 AM, David Winsemius dwinsem...@comcast.netwrote:
On Apr 3, 2012, at 10:11 AM, Val wrote:
David W and all,
Thank you very much for your help.
Here is the final output that I want in the form of data frame. The data
frame
-0400, Val wrote:
Hi All,
On the same data points
x=c(46, 125 , 36 ,193, 209, 78, 66, 242 , 297,45 )
I want to have have the following output as data frame
x group group mean
46 142.3
125 289.6
36 142.3
193 3235.25
On Tue, Apr 3, 2012 at 2:53 PM, Berend Hasselman b...@xs4all.nl wrote:
On 03-04-2012, at 20:21, Val wrote:
Hi All,
On the same data points
x=c(46, 125 , 36 ,193, 209, 78, 66, 242 , 297,45 )
I want to have have the following output as data frame
x group group mean
46
in advance
Val
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and provide commented, minimal, self
standardized residuals too?
Thanks
Val
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Hi All,
I want generate data using R that follows the shape of graphs (A and B) in
the attached file. Can anybody suggest me what function fits for each
graph?
Your help is highly appreciated in advance
Val
graphs.pdf
Description: Adobe PDF document
On Tue, Jan 31, 2012 at 11:09 AM, Petr Savicky savi...@cs.cas.cz wrote:
On Tue, Jan 31, 2012 at 10:03:39AM -0500, Val wrote:
Hi All,
I want generate data using R that follows the shape of graphs (A and B)
in
the attached file. Can anybody suggest me what function fits for each
graph?
Hi
the definite integral
equal to 1. Is this true?
Yes
Petr Savicky.
On Tue, Jan 31, 2012 at 1:41 PM, Petr Savicky savi...@cs.cas.cz wrote:
On Tue, Jan 31, 2012 at 12:40:35PM -0500, Val wrote:
[...]
What I want is,
1- let the plot star from 0.2 in Y-axis rather than the minimum value
for the derivative of the inverse function.
The problem is that I am not high level programmer. Could you please help
me out?
Your help will be appreciated in advance
On Tue, Jan 31, 2012 at 2:36 PM, Petr Savicky savi...@cs.cas.cz wrote:
On Tue, Jan 31, 2012 at 01:59:13PM -0500, Val wrote:
Hi petr
...@cs.cas.cz wrote:
On Tue, Jan 31, 2012 at 01:59:13PM -0500, Val wrote:
Hi petr,
Can the required density be understood as a piecewise
linear function going through 4 or 5 given points?
That is my problem. The function should be nonlinear. However, we can
break
it down to the first 3 or 4
Hi Petr,
Thank you very much . I will let you know my progress!
Do you think that sampling from the traingular distribution will also be
good enough? Will it provides similar results?
Val
On Wed, Feb 1, 2012 at 12:48 PM, Petr Savicky savi...@cs.cas.cz wrote:
On Wed, Feb 01, 2012 at 11
Hi All,
I have a huge data set with the following type;
city year sex obs
1 1990 M 25
1 1990 F 32
1 1991 M 15
1 1991 F 22
2 1990 M 42
2 1990 F 36
2 1991 M 12
2 1991 F 16
I want to calculate the percentage of M and F by city, year and
Hi all,
I want to construct relatedness among individuals and have a look at the
following script.
#
rm(list=ls())
N=5
id = c(1:N)
dad = c(0,0,0,3,3)
mom = c(0,0,2,1,1)
sex = c(2,2,1,2,2) # 1= M and 2=F
A=diag(nrow = N)
for(i in 1:N){
for(j in i:N)
2.07e-139
x2 -0.000211 5.64e-06 -37.47.89e-306
Log(scale)-0.267627 1.57e-02 -17.05.63e-65
Scale= 0.765
How do I interpret those results?
Is there a relationship between Webull PH and AFT Model?
Thanks
Val
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Hi all,
I have a sample of data set with variables day, ID,var and month:
day ID var Month
1 11 x March
1 11 x March
1 11 x April
1 11 y March
1 11 x March
1 11 y March
2 11 x March
2 11 y March
3 11 x March
3 11 y March
4 11 y March
In the above data set there
Hi all,
I have several files in different folders or subdirectories. Here is an
example of the data set.
c:\country\state\city. There might be more than 500 cities.
**
c:\country\state\city1
c:\country\state\city2
.
.
.
c:\country\state\city500
HI all,
DF <- read.table(textConnection(" X1 X2 X3 TIME
Alex1 0 0 1960
Alexa 0 01920
Abbot 0 0 0
Smith Alex1 Alexa2012
Carla Alex1 01996
JackySmith Abbot2013
Jack 0 Jacky2014
Hi all,
I have a data frame called "df" it's dimension is
dim(df)
[1] 9540634 38
>From this data frame the variable * df$X1 *has about 78, 000 unique
values and *df$region *has two classes. I am trying to do the following
operation
The goal is reshaping the variable from long to
col[u] # substitute original names with those in refcol
> v[is.na(v)] <- "0" # set NAs in v to "0"
> v
> }
>
> apply(DF[, grep("^X", names(DF))], 2, f) # grep() selects out
> columns starting with "X"
>
> Dennis
>
>
Hi all,
Iam trying to change character to numeric but have probelm
mydata <- read.table(header=TRUE, text=', sep=" "
id sex
1 NA
2 NA
3 M
4 F
5 M
6 F
7 F
')
if sex is missing then sex=0;
if sex is"M" then sex=1;
if sex is"F" then
t; Using numeric for missing sounds like asking for trouble. But if you
> must, something like
>
> mydata$confusingWillCauseProblemsLater <-
> ifelse(
> is.na(mydata$sex),
> 0,
> as.numeric(factor(mydata$sex,
> levels = c("M", "
-
> Sent from my phone. Please excuse my brevity.
>
> On October 31, 2015 8:23:05 AM PDT, Val <valkr...@gmail.com> wrote:
> >Hi All,
> >
> >
> >Yes I need to change to numeric because I am preparing a data set
> >for
> >further analysis.
and Indeterminate,
> for each of which there is a potential assoctiation with type of crime.
> With most analyses, however, a category of "NA" would be ignored
> (at least by R).
>
> And then one has a variable which is a factor with 3 levels, all
> of which can (as above) be meani
2 2 2 2 2 2
> >
> >>
> >
> >
> > On Fri, Oct 30, 2015 at 8:28 PM, Ista Zahn <istaz...@gmail.com> wrote:
> >
> >> Using numeric for missing sounds like asking for trouble. But if you
> >> must, something like
> >>
> >&
Hi All,
I am sorry for the confusion and yes I understand this due to limited
knowledge of R. I am working on that.
Thank you again.
On Sat, Oct 31, 2015 at 7:06 PM, Rolf Turner
wrote:
>
> Jim: I'm sure that this is much more sophisticated than anything that the
;
> Rhydwyn McGuire
> Senior Biostatistician | Health Statistics NSW
> Level 7, 73 Miller St, North Sydney 2060
> Tel 02 9391 9781 | rm...@doh.health.nsw.gov.au
> www.health.nsw.gov.au
>
>
>
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-pr
Hi all,
Assume that I have the following data set :
cntry state city Gender (1=F and 2=M)
1 1 1 1
1 1 1 2
1 1 1 1
1 1 2 2
1 2 2 2
1 2 3 2
1 2 3 1
I want to calculate the number of Females and Males,
total (F+M) and percentage (F/M) by country, state and city.
Here is
Hi All,
I have a data set ( region, city, town and district). The data looks like
region, city, town, district
1 1 1 1
1 1 1 2
1 1 1 3
1 1 2 1
1 1 2 2
1 2 1 1
I want the counts for region, city and town. Here region 1 has 6
records, city 1 has 5 records and city 2 has 1
Hi all,
I have a messy text file and from this text file I want extract some
information
here is the text file (out.txt). One record has tow lines. The mean comes
in the first line and the SE of the mean is on the second line. Here is the
sample of the data.
Mean of weight group 1, SE of mean
ing
> v1 <- as.numeric( sub( pattern, "\\1", indta[ firstlines ] ) )
> # Replace the matched portion (entire string) with the second capture #
> string
> v2 <- as.numeric( sub( pattern, "\\2", indta[ firstlines ] ) )
> # Convert the lines just after the fir
;-indat %*%
array(c(rep(c(rep(1,2),rep(0,dim(indat)[2])),dim(indat)[2]/2),1,1),dim=c(dim(indat)[2],dim(indat)[2]/2))
outdat[outdat==2]<-0
outdat[outdat==4]<-1
outdat
Thank you!
On Thu, Feb 11, 2016 at 5:58 PM, Dalthorp, Daniel <ddalth...@usgs.gov>
wrote:
> Hi Val,
> There
Hi all,
I have SNP data set: the first column is the ID and the the
subsequent pair of columns are the alleles for each
SNP1, SNP2 and So on. Each SNP has two columns. Based on the alleles
I want make phenotype
if the alleles are 1 1then genotype is 0
2 2
Thank you Bert,
Yes I looked a this one and I was looking for if any one has used it or not
before? My data set is different what they are showing in the paper
On Wed, Feb 3, 2016 at 4:00 PM, Bert Gunter wrote:
> Have you looked here (found immediately by an
Hi all,
One of the the columns of a data frame has a value such like
S-2001-yy
S-2004-xx
F-2007-SS
and so on
based on this column (variable) I want subset a data frame where the
middle value of this variable is between 2001 to 2004.
THE END RESULT THE DATA FRAME WILL BE THIS.
th having an open mind is that people keep coming along
> and sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Wed, Feb 24, 2016 at 6:57 PM, Val <valkr...@gmail.com> wrote:
> > Hi all,
> >
>
Hi all,
I want create a frequency table using this :
xc1<- sample(c(1:10), 100, replace = TRUE)
xc2<- sample(c(0,1), 100, replace = TRUE)
xc3<- cbind(xc1,xc2)
tab1<- xc3[,list( d1=sum(xc2==0), d2=sum(xc2==1)),by=xc1]
but not working.
Error in `[.data.frame`(xc3, , list(d1 = sum(xc2 == 1), d2
Hi all
I am trying t extract a variable from a column
ASk/20005-01-45/90
Alldatk/25-17-4567/990
I want to assign a variable to the numbers coming the first"-"
x=01 for the first and
x=17 for teh second
I tried using gsub but did not work
x=gsub("-")
any help?
e manually.
Is it possible to read the last sheet of an excel file?
Thank yo in advance
Val
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Hi all,
I have a big data set and want to remove rows conditionally.
In my data file each person were recorded for several weeks. Somehow
during the recording periods, their last name was misreported. For
each person, the last name should be the same. Otherwise remove from
the data.
our data set is really big (running out of memory big) then you might
> want to investigate the data.table or sqlite packages, either of which can
> be combined with dplyr to get a standardized syntax for managing larger
> amounts of data. However, most people actually aren't running out of m
>first week last
>> 1 Bob1 John
>> 2 Bob2 John
>> 3 Bob3 John
>> 4 Cory1 Jack
>> 5 Cory2 Jack
>>
>> which is the desired output. If there is a "basic stuff" way to do this
>> I'd like to see it. Perhap
!.
On Sun, Feb 12, 2017 at 6:31 PM, Jeff Newmiller
<jdnew...@dcn.davis.ca.us> wrote:
> Your question mystifies me, since it looks to me like you already know the
> answer.
> --
> Sent from my phone. Please excuse my brevity.
>
> On February 12, 2017 3:30:49 PM PST, Val <valk
t to investigate the data.table or sqlite packages, either of which can
> be combined with dplyr to get a standardized syntax for managing larger
> amounts of data. However, most people actually aren't running out of memory
> so in most cases the extra horsepower isn't actually needed.
>
ob1 John
Bob2 John
Bob3 John
Cory1 Jack
Cory2 -
Thank you again!
On Sun, Feb 12, 2017 at 7:28 PM, Val <valkr...@gmail.com> wrote:
> Sorry Jeff, I did not finish my email. I accidentally touched the send
> button.
> My question was the
> whe
essage of
Error in read.table(file = file, header = header, sep = sep, quote = quote, :
no lines available in input
Thank you in advance
On Tue, Dec 13, 2016 at 5:07 PM, Val <valkr...@gmail.com> wrote:
> Marc,
> Thank you so much! That was helpful comment.
>
>
> On Mon, D
>
> "The trouble with having an open mind is that people keep coming along
> and sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On Mon, Feb 27, 2017 at 6:16 PM, Rolf Turner <r.tur...@auckland.ac.nz>
Currently I have about six or more scripts that do the same job. I
thought it might be possible and more efficient to use one script by using
IF ELSE statements. Here is an example but this will be expandable for
several countries ans year-months
Year-month = FEB2015, FEB2012, Feb2010
Hi all,
I want to standardize a variable based on certain condition
Here is my sample of data
obs, Year, bb, kk, y
1, 2001, 25 ,100, 12.6
2, 2001, 15 ,111, 24.7
3, 2001, 53, 110, 13.8
4, 2001, 50, 75, 9.6
5, 2001, 125, 101, 31.5
6, 2001, 205, 407, 65.7
7, 2001, 250, 75, 69.1
If
at$flag == "S")
>
> # 2)
> dat$z2 <- unlist(tapply(dat$y1, dat$x1, function(y) y - y[1]))
>
> Hope this helps,
>
> Rui Barradas
>
>
> Em 12-10-2016 21:15, Val escreveu:
>>
>> Hi all,
>>
>> I have a data set like
>> dat<-read.
Hi all,
I am trying to get shell variable(s) into my R script in Linux . How
do I get them?
my shell script is
t1.sh
#!bin/bash
Name=Alex; export Name
Age=25; export Age
How do get the Name and Age variables in my R script?
My R script is
test.R
print " Your Name is $Name and
Hi Jeff and John,
Thank you for your response.
In each folder, I am expecting a single file name (either dat or
dat.csv).v so will this work?
Is the following correct?
fns <- list.files(mydir)
if (is.element(pattern="dat(\\.[^.]+)$",fns ))
Thank you again.
On Mon, Nov 28, 2016 at 7:20
Hi all,
I have two *.RData objects saveds in different time. They do have the
same number of columns but different number of rows. I was trying to
load and compare the two files by the first columns but face problem.
t1=load(file="dat.RData")
t2=load(file="dat256.RData")
Error: object 'dat256'
4,H,1,336
40332,S,2,0
40471,R,2,139
40493,R,2,161
40533,X,2,201
40718,H,2,386
40771,S,3,0
40829,R,3,58
40892,X,3,121
41056,H,3,285
41110,S,4,0
41160,R,4,50
41222,R,4,112
41250,R,4,140
41289,R,4,179
41324,X,4,214
41355,R,4,245
41415,X,4,305
41562,X,4,452
41562,H,4,452
41586,S,5,0
Val
t; 0L, 50L, 112L, 140L, 179L, 214L, 245L, 305L, 452L, 452L,
> 0L)), .Names = c("y1", "flag", "x1", "z2"), row.names = c(NA,
> -24L), class = "data.frame")
>
>
> Rui Barradas
>
>
> Em 12-10-2016 21:53, Val escreveu:
>&g
Hi all,
I want sort the data by ID and Y2 then count the number of rows within
IDs. Assign a "flag" variable to reach row starting from first to
the last row.
For instance, in the following data ID "1" has three rows and each
row is assigned flag sequentially 1, 2,3.
2. In the second step,
Hi all,
I have a data frame with more than 100,000 rows.
datx <- function(n,mean,sd) { mean+sd*scale(rnorm(n)) }
dat <- datx(11,10,2)
1)
WriteXLS(dat, "test4.xls", row.names=FALSE)
Error in WriteXLS(dat, "test4.xls", row.names = FALSE) :
One or more of the data frames named in 'x' exceeds
Hi all,
I am trying to read and summarize a big data frame( >10M records)
Here is the sample of my data
state,city,x
1,12,100
1,12,100
1,12,200
1,13,200
1,13,100
1,13,100
1,14,200
2,21,200
2,21,200
2,21,100
2,23,100
2,23,200
2,34,200
2,34,100
2,35,100
I want get the total count by state, and
Hi all,
In one folder I have several files and I want
combine/concatenate(rbind) based on some condition .
Here is the sample of the files in one folder
test.csv
test123.csv
test456.csv
Adat.csv
Adat123.csv
Adat456.csv
I want to create 2 files as follows
test_all =
les(pattern="^test")
> myfiles <- lapply(filelist, read.csv)
> myfiles <- do.call(rbind, myfiles)
>
>
>
> On Tue, Nov 29, 2016 at 9:11 PM, Val <valkr...@gmail.com> wrote:
>> Hi all,
>>
>> In one folder I have several files and I want
&g
Hi all,
I have several variables in a group and one group contains three
variables. Sample of data ( Year, x1, x3 and x2)
mydat <- read.table(header=TRUE, text=' Year x1 x3 x2
Year1 10 120
Year2 0 150
Year3 0 020
Year4 25 0 12
Year5 15 25 12
Year6 0 16 14
HI all,
I have some data to be screened based on the recording flag (obs).
Some family recorded properly (1) and others not (0). Th 0 = improper
and 1 = proper
The recording period starts week1. All families may not start in the
same week in recording properly an observation,
DF2 <-
Hi all,
I have two variables x and y. X has five observation and y has three.
I want combine each element of x to each element of y values to
produce 15 observation. Below is my sample data and desired output
data
x Y
1 A
2 B
3 C
4
5
Output
1 A
1 B
1 C
2 A
2 B
2 C
3 A
3 B
3 C
HI all,
if first name is Alex then I want concatenate the second column to Alex
to produce Alex and the second column value
DF1 <- read.table(header=TRUE, text='first YR
Alex2001
Bob 2001
Cory2001
Cory2002
Bob 2002
Bob 2003
Alex2002
Alex2003
Alex2004')
HI all,
I have a data frame with three variables. Some of the variables do
have missing values and I want to replace those missing values
(1represented by NA) with the mean value of that variable. In this
sample data, variable z and y do have missing values. The mean value
of y and z are152. 25
Hi all,
I have a data set with time interval and depending on the interval I want
to create 5 more variables . Sample data below
obs, Start, End
1,2/1/2015, 1/1/2017
2,4/11/2010, 1/1/2011
3,1/4/2006, 5/3/2007
4,10/1/2007, 1/1/2008
5,6/1/2011, 1/1/2012
6,10/15/2004,12/1/2004
First, I want
; -1), tf1 = c(0, 0, 0, 1, 0, 1), tf2 = c(0, 0, 0, -1, 0, -1),
> tf3 = c(0, 1, 0, -1, 1, -1), tf4 = c(0, -1, 0, -1, -1, -1
> ), tf5 = c(0, -1, 1, -1, -1, -1), tm1 = c(0, 0, 0, 1, 0,
> 1), tm2 = c(0, 0, 0, -1, 0, -1), tm3 = c(0, 1, 0, -1, 1,
> -1), tm4 = c(0, -1, 0, -1, -1,
st to me.
>
> Cheers,
> Bert
>
>
> Bert Gunter
>
> "The trouble with having an open mind is that people keep coming along
> and sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
>
> On F
Hi all,
I have a date issue and would appreciate any help.
I am reading a field data and n one of the columns I am expecting a
date but has non date values such as character and empty. space.
Here is a sample of my data.
KL <- read.table(header=TRUE, text='ID date
711 Dead
712 Uknown
713
t 7:23 PM, William Dunlap <wdun...@tibco.com> wrote:
> Use the stringsAsFactors=FALSE argument to read.table when
> making your data.frame - factors are getting in your way here.
>
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com
>
> On Wed, Dec 13, 2017 at 3:02 PM, V
Hi all,
I have a data frame
tdat <- read.table(textConnection("A B C Y
A12 B03 C04 0.70
A23 B05 C06 0.05
A14 B06 C07 1.20
A25 A23 A12 3.51
A16 A25 A14 2,16"),header = TRUE)
I want match tdat$B with tdat$A and populate the column values of tdat$A
( col A and Col B) in the newly created columns
.pt> wrote:
> Hello,
>
> Here is one way.
>
> tdat$D <- ifelse(tdat$B %in% tdat$A, tdat$A[tdat$B], 0)
> tdat$E <- ifelse(tdat$B %in% tdat$A, tdat$A[tdat$C], 0)
>
>
> Hope this helps,
>
> Rui Barradas
>
>
> On 12/13/2017 9:36 PM, Val wrote:
>
&
Hi all,
I am reading a huge data set(12M rows) that contains family information,
Offspring, Parent1 and Parent2
Parent1 and parent2 should be in the first column as an offspring
before their offspring information. Their parent information (parent1
and parent2) should be set to zero, if unknown.
le with having an open mind is that people keep coming along and
> sticking things into it."
> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>
> On Thu, May 17, 2018 at 5:48 PM, Val <valkr...@gmail.com> wrote:
>
>> Hi All,
>>
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