similar to: Reset R environment through R command

I looked at the documentation of source() and summary(), and I could not find the reason why calling something like: > summary(resamps) from the command line, works (it prints the summary) whereas calling summary(resampls) from a file that I source with source("my_file.r") does not print anything. How can I get summary(resamps) to print when I source a file with this command?

This may be a really obvious question but I just can't figure out how to do it. I have a small dataset that I am trying to compare to some controls. It is essential that the controls are matched on Cancer Stage (a numerical factor between 1 and 4), and then ideally on Age (integer), Gender (factor), Performance Status(factor). I'm using matchit to try and do this, but it seems to give

Hi all, I've simple code to read a file (verify.txt in the same directory as the script file) but when I run this I get "Error in eval(expr, envir, enclos) : object "y" not found". data_model.df = read.table("./verify.txt", header=TRUE, nrows=10); f <- lm(y ~ x) Could someone pls tell me what's wrong with this code? Sincere thanks!

Hi fans, is it possible for a script to check if a library has been installed? I want to automatically install it if it is missing to avoid scripts to crash when running on a new machine... Ralf

Hi R-fans, I would like put out a question to all R users on this list and hope it will create some feedback and discussion. 1) What are your 3 most useful R package? and 2) What R package do you still miss and why do you think it would make a useful addition? Pulling answers together for these questions will serve as a guide for new users and help people who just want to get a hint where to

Are there R packages that allow for dynamic clustering, i.e. where the number of clusters are not predefined? I have a list of numbers that falls in either 2 or just 1 cluster. Here an example of one that should be clustered into two clusters: two <- c(1,2,3,2,3,1,2,3,400,300,400) and here one that only contains one cluster and would therefore not need to be clustered at all. one <-

Suppose x and y are numeric vectors of the same length. plot(x,y) #scatterplot lmObj1 <- lm(y~x) # best fit line abline(lmObj1) # good lmObj2 <- lm(x~y) #get best fit but with axes interchanged abline(lmObj2) # not what I want. I want the correct line, drawn on the same graph, but with # response and predictor variables interchanged One way to proceed would be to

R 2.13 Vista Colleagues, I have encountered a problem with Windows environment variables that I don't understand. My R code is designed to execute another program that uses Intel Fortran. Intel Fortran apparently has some complicated issues regarding environment variables. As a result, Intel provides a batch file (FortranVars.bat) that sets all the environment variables. If I am working

Hello, I'm trying to import a SAS file made using SAS on Unix. Currently I'm using SAS on Windows and I'm trying to import that .ssd04 file to R. The file name of the file is testfile.ssd04 and it is located in 'M:\sasuser'. I'm using Windows XP and R 2.91. Basically what I'm doing is ############ r code ############## > library(foreign) > sashome <-

Hello. I am using some dates I read in excel in R. I know the excel origin is supposed to be 1900-1-1. But when I used as.Date with origin=1900-1-1 the dates that R reported me where two days ahead than the ones I read from Excel. I noticed that when I did in R the following: > as.Date("2011-3-4")-as.Date("1900-1-1") Time difference of 40604 days but if I do the same

Hi, in order to save space for a publication, it would be nice to have a combined scatter and density plot similar to what is shows on http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=78 I wonder if anybody perhaps has already developed code for this and is willing to share. This is the reproducible code for the histogram version obtained from the site: def.par <-

I am very new to Linux so I probably am doing something stupid but I cannot seem to update to R 2.15 Using Ubuntu 12.02 Precise Penguin I realise that debian packages are not updated regularly so I tried to follow the insructions at the R-site So far, I have modified /etc/apt/sources.list to read ## R CRAN added 2012-06-12 deb http://probability.ca/cran/bin/linux/debian squeeze-cran/ Issued

Can one create a variable through a function by name createVariable <- function(name) { outputVariable = name name <- NULL } after calling createVariable("myVar") I would like to have a variable myVar initialized with NULL in my environment. Is this possible? Ralf

Hello, How can I apply a function on a vector that refers to actual (n) and previous elements in the vector (e.g. n-1)? For example: I would like to calculate the sum of (n-1) + n for each element of a vector and get a vector as a result. Besides others I tried this: v<-c(3,6,8,1,1,3,9,5,6,3) for (i in 1:NROW(v)){a[i]<-a[i-1]+a[i]} I would like to get this result:

The Rserve documentation at http://rosuda.org/Rserve/doc.shtml#start states that even when making multiple connections to the Rserve, Windows won't separate workspaces physically and share environments, which will obviously cause problems and should therefore not be used. Are there any alternatives for the windows platform? Ralf

Hi R Users, I need to produce a simple report consisting of some graphs and a statistic. Here simplification of it: # graphics output test a <- c(1,3,2,1,4) b <- c(2,1,1,1,2) c <- c(4,7,2,4,5) d <- rnorm(500) e <- rnorm(600) op <- par(mfrow=c(3,2)) pie(a) pie(b) pie(c) text(ks.test(d,e)) obviously, the ks.test does not make it to the output. How can this be archived by a)

Hi All I have a vector of about 15 million numbers which I would like to plot. The goal is the see the distribution. I tired the usual steps. 1. Histogram : never gets complete my window freezes w/out log base 10 2. Density : I first calculated the kernel density and then plotted it which worked. It would be nice to superimpose histogram with density but as of now I am not able to get this

How can I create intersections of vectors? a <- c(1,2,3) b <- c(1,5,6) the intersected list c should contain c(1)... Ralf

Hello all, given two vectors X and Y I'd like to receive a vector Z which contains, for each element of X, the index of the corresponding element in Y (or NA if that element isn't in Y). Example: x <- c(4,5,6) y <- c(10,1,5,12,4,13,14) z <- findIndexIn(x, y) z [1] 5 3 NA 1st element of z is 5, because the 1st element of x is at the 5th position in y 2nd element of z is 3,

I am looking for a mailing list for general statistical questions that are not R related. Do you have any suggestions for lists that are busy and helpful and/or lists that you use and recommend? Thanks in advance, Ralf