similar to: problem in as.date

Hi All, I have vector of length 52, say, x=sample(30,52,replace=T). I want to sort x and split into five *nearly equal groups*. Note that the observations are repeated in x so in case of a tie I want both the observations to fall in same group. This seems a very common task to do, but still I couldn't find an R function to do this. Any help would be highly appreciated. Regards Utkarsh

Hi All, I am currently using R version 2.8.1 on linux cent os 4.4 (i386) and want to upgrade to version 2.9.1. It seems to me that version-2.9.1 is it not for my OS. Am I right? Regards Utkarsh [[alternative HTML version deleted]]

Hi, With reference to the mail below, I have large datasets, coming from various different sources, which I can read into filebacked big.matrix using library bigmemory. I want to merge them all into one 'big.matrix' object. (Later, I want to run regression using library 'biglm'). I am unsuccessfully trying to do this from quite some time now. Can you please

Hi all, I am performing a stepwise regression by running the "step" function on an "lm" object. Now I want to save the intermediate iterations. I know the argument trace=T will print it on the console, but I rather want to assign it to some R object or may be output it in a CSV or text file. Any help will be appreciated. Regards Utkarsh

Hi All, I am currently doing the following to compute summary statistics of aggregated data: a = aggregate(warpbreaks$breaks, warpbreaks[,-1], mean) b = aggregate(warpbreaks$breaks, warpbreaks[,-1], sum) c = aggregate(warpbreaks$breaks, warpbreaks[,-1], length) ans = cbind(a, b[,3], c[,3]) This seems unnecessarily complex to me so I tried > aggregate(warpbreaks$breaks, warpbreaks[,-1],

I am using the library(bigmemory) to handle large datasets, say 1 GB, and facing following problems. Any hints from anybody can be helpful. _Problem-1: _ I am using "read.big.matrix" function to create a filebacked big matrix of my data and get the following warning: > x = read.big.matrix("/home/utkarsh.s/data.csv",header=T,type="double",shared=T,backingfile

Hi all, I want to define a function such that one of its argument if passed do one thing and if not passed do the second thing. So basically, I have to check whether the argument is passed or not inside the function. I am trying to use 'exists' function to do this. > f = function(a,b){exists("b")} > f(a=3, b=4) [1] TRUE This is working as expected.

Hi all, I want to define a function such that one of its argument if passed do one thing and if not passed do the second thing. So basically, I have to check whether the argument is passed or not inside the function. I am trying to use 'exists' function to do this. > f = function(a,b){exists("b")} > f(a=3, b=4) [1] TRUE This is working as expected.

I define the following function: (Please don't wonder about the use of this function, this is just a simplified version of my actual function. And please don't spend your time in finding an alternate way of doing the same as the following does not exactly represent my function. I am only interested in a good explanation) > f1 =

Hi All, I have recently *re*-installed R-2.9.1 in my Linux machine. Since then, I am unable to plot using the usual interactive device. > plot(1:10) This plots in a pdf file "Rplots.pdf" in my working directory. > sessionInfo() R version 2.9.1 (2009-06-26) i686-pc-linux-gnu locale:

Hi All, There are several replies to the question below, but I think there must exist a better way of doing so. I just want to check whether all the elements of a vector are same. My vector has one million elements and it is highly likely that there are distinct elements in the first few itself. For example: > x = c(1,2,rep(1,100000)) I want the answer as FALSE, which is clear from the

Hi Sir, Thanks for making package available to us. I am facing few problems if you can give some hints: Problem-1: The model summary and residual deviance matched (in the mail below) but I didn't understand why AIC is still different. > AIC(m1) [1] 532965 > AIC(m1big_longer) [1] 101442.9 Problem-2: chunksize argument is there in bigglm but not in biglm, consequently,

Colleagues I want to download the package "date" from CRAN <http://cran.r- project.org/> to get the R-scripts (for version 1.2.0) *** date/INDEX *** as.date Coerce Data to Dates date.ddmmmyy Format a Julian date date.mdy Convert from Julian Dates to Month, Day, and Year date.mmddyy Format a Julian date date.mmddyyyy Format a Julian date date.object Date Objects mdy.date

The date library contains a function date.mdy that converts a number D to the date (month,date,year as a list) at D days after 1 Jan 1960. This a convention that fits in with SASs. The logic would be that the result was the date at D days after 1 Jan 1960 00:00:00 (which is a POINT in time as opposed to a date which is an interval), so that any D with 2<=D<3 was rounded to 3 Jan 1960 and

Hi everybody When I try example of strptime x <- c("1jan1960", "2jan1960", "31mar1960", "30jul1960") z <- strptime(x, "%d%b%Y") The result is; > z [1] NA NA NA NA I have got the same result with complete form of month but not with numeric form. Any idea? [[alternative HTML version deleted]]

Dear Rui and UseRs,[a text file has also been attached, in case the format of my email is difficult to get]I am extremely sorry that I am bothering you once again, but I?ll have to get to the bottom of it. The following command sp <- lapply(split(agg, agg$st), function(x) x[order(x$year, x$month), ]) gave me an output with monthly mean of population(as under). i am not able to apply

On Thu, 11 Jan 2001 stephen@anc.ed.ac.uk wrote: > Hi, > > The help file for strptime has the following code which doesn't work > for me: > > ## read in date info in format `ddmmmyyyy' > x <- c("1jan1960", "2jan1960", "31mar1960", "30jul1960") > z <- strptime(x, "%d%b%Y") > > z > [1]

I'm using R V 2.2.1. When I try an example from the as.Date help page, I get an error. > x <- c("1jan1960", "2jan1960", "31mar1960", "30jul1960") > z <- as.Date(x, "%d%b%Y") Error in strptime(x, format) : 2 arguments passed to 'strptime' which requires 3 > Any suggestions would be appreciated. Thanks, Rob

Hello, strptime is still not working correctly in my computer (Windows 98 and R Version 1.3.1) From x <- c("1jan1960", "2jan1960", "31mar1960", "30jul1960") strptime(x, "%d%b%Y") I obtain [1] "NA" "NA" "NA" "NA" while x <- c("01011960", "02011960", "3131960",

Hi All, I want to "merge" two datasets by column "ID" and I don't want the result to be sorted by "ID". I am doing the following: > z = merge(x, y, by = "ID", sort=F) The result is not sorted by "ID". But (as oppose to what I expected) it is not even in the original order of either "x" or "y". Can