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All, I think this is pretty basic but I couldn't find the answer in any source. I have just built my own R for Linux (amd 64). It runs well, but R thinks that it only has 80 characters or so of screen width. I log on with Putty to the box and can stretch it as large as I want. Is there a simple way to tell R to use more screen width when displaying? From whatami: OS RELEASE :

Hi, * I am using read.table command as follow kegg<-read.table("c:/IDs.tab",header =TRUE,quote= "'", sep="\t") * Fragment of file is as follow: ID Pathway 04916 Melanogenesis 04920 Adipocytokine signaling pathway 04930 Type II diabetes mellitus 04940 Type I diabetes mellitus 04950 Maturity onset diabetes of the young 05010

Hi, How can I overlap two density plots? A <- c(8,10,10,11,11,11,12,12,12,12,11,11,11,10,10,7) B <- c(11,13,13,14,14,14,15,15,15,15,14,14,14,13,13,10) plot(density(A)) plot(density(B)) Regards, Emre P.S. There's a overlap.density function in package DAAG Is there another way to do this? -- --- Emre ÜNAL http://www.geocities.com/dusemre [[alternative HTML version

Greetings helpRs -- I would like to use plot() to plot two cumulative distribution curves so that a user of the plot can compare the distributions of the two variables. The following code draws two distributions separately, but I cannot find the instruction necessary to add a second cumulative distribution to the first one. Any suggestion would be very welcome. x1 <-

Hello, I have difficulties in reading in a text file with multiple (=2) header lines. My table looks like this: id code gr grcode AA AB AC AD time 30 40 50 60 1 1234 1 c 0 1 0 0 2 1346 1 c 0 0 0 1 3 1456 1 c 0 0 1 1 4 1893 1 c 0 0 1 1 Can someone help me out? Thanks Deborah --

Hi list, I have a question on how to identify the overlapped items from two vectors: >x<-c(0,1,2) >y<-c(1,2,2,3) and plot the number of the overlapped as well as non-overlapped in a diagram? Thanks much, Allen [[alternative HTML version deleted]]

Dear R Community, A simple problem (for some of you): I wish to index a data.frame by all elements NOT in my index E.g.: > a<-as.data.frame(matrix(rnorm(100),nrow=10,ncol=10)) > b<-which(a$V1>0.8) > b [1] 1 4 6 10 > a_indexb<-a[b,] > a_notIndexB<-a[!b,] > nrow(a_notIndexB) [1] 0 Indexing a on b is not a problem (a_indexb), but how can do get only the

Hi all, I have a data management question. I am using an panel dataset read into R as a dataframe, call it "ex". The variables in "ex" are: id year x id: a character string which identifies the unit year: identifies the time period x: the variable of interest (which might contain NAs). Here is an example: > id <- rep(c("A","B","C"),2)

Dear I try to add three different lines (solid, short dash, long dash) in to current barplot. I saw there are types of lines ("p","b", ect). However, they are not what I request. Has nayone have this experience? Many Thanks! Xin [[alternative HTML version deleted]]

Hi list, When exporting to PDF a graph with a legend, in the final PDF, the text is going beyond the legend box. > dev2bitmap("test.pdf", type="pdfwrite", h=6, w=6) The legend looks OK on the screen. I noticed that the size of the legend box depends on the size of the screen window, which is not the case for other graphical parts (text of the legend, title, axis

We are new to R and evaluating if we can use it for a project we need to do. We have read that R is not well suited to handle very large data sets. Assuming we have the data prepped and stored in an RDBMS (Oracle, Teradata, SQL Server), what can R reasonably handle from a volume perspective? Are there some guidelines on memory/machine sizing based on data volume? We need to be able to handle