similar to: data.frame indexing

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 <-

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

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]]

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

Dear R community, I have a dataframe with say 100 different variables. I wish to regress variable 1 separately on every other variable (2-100) in a linear regression using lm. There must be an easy way to do this without loops, but I have difficulties figuring this out... Can you please help? Thank you and best regards, Georg. ***************************************** Georg Ehret Johns Hopkins

Dear R community, I am creating large graphs with hundreds of thousands of datapoints. My usual way for output was pdf, but now I am getting file sizes of >30Mb that do not open well (or at all) in Adobe. Is there a way to reduce the resolution or get rid of overlaying datapoints? Any other idea is also warmly welcome! Thank you and wishing you a good day! Georg. **********************

Hi! In a current project, I am fitting loess models to subsets of data in order to use the loess predicitons for normalization (similar to what is done in many microarray analyses). While working on this I ran into a problem when I tried to predict from the loess models and the data contained NAs or NaNs. I tracked down the problem to the fact that predict.loess will not return a value at all

Dear All: I do see I have weeks of codes in my console when I check with my arrow up keys. I have been clearing them with Control L but it seems to clear it clear the screen temporally. I do see the previous codes again when I open R the next day, after quitting the session! Q: How do I clear this? Thanks; YA -- View this message in context:

Dear Ms. R, I struggle with a very basic command for most of you: How to change the working-directory by command-line? Thank you! Georg. ****************** Georg Ehret Johns Hopkins University School of Medicine Broadway Research Building, Room 572 733 N. Broadway Baltimore, MD 21205 Phone: (410) 502-7530 Fax: (410) 502-7544 e-mail: georg@jhmi.edu [[alternative HTML version deleted]]

Dear R experts, Suppose I have a data frame of three variables: > foo <- data.frame(row=1:5, col=1:3, val=rnorm(15)) > foo row col val 1 1 1 -1.00631642 2 2 2 0.77715344 3 3 3 0.17358793 4 4 1 -1.67226988 5 5 2 1.08218836 6 1 3 1.32961329 7 2 1 -0.51186267 8 3 2 -1.20990127 9 4 3 -0.57786899 10 5 1 0.67102887 11 1 2

Dear list, Can somebody tell me how to invoke user-defined functions from script files during run-time? Basically I have (almost) one function per script file. I am thinking of something like #include in C++ import in Java/Python use in Perl No, I don't need my functions every time R is started. Neither I am thinking about writing building my functions into packages. I just

Dear R community, I am using densityplot (lattice package) for a large dataset and wish to print it to a jpeg (the pdf is huge). R crashes consistently. Am I doing it wrong or is densityplot incompatible with jpeg? I work on a Mac, R 2.7.0. > require(lattice) > jpeg("test.jpeg") > d[1:10] [1] 0.700218 0.700175 0.700357 0.700847 0.698286 0.701520 0.698158 0.699300 0.698819

Hi all, I have a large data.frame, 1530 observation with 6 columns. I want to merge a 7th column, a transformation of the response variable (hospital admissions), namely trans<-sqrt(copd$admissions+0.25) trans<-data.frame(trans) And now when I do copd2<-merge(copd,trans) (copd being my original data.frame), R either crashes or is taking an extremely long time to do the computation. I

Dear R community, I am using 6 variables to test for an effect (by linear regression). These 6 variables are strongly correlated among each other and I would like to find out the number of independent test that I perform in this calcuation. For this I calculated a matrix of correlation coefficients between the variables (see below). But to find the rank of the table in R is not the right