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********************************************************************** This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error please notify the system manager. ********************************************************************** Hi Just installing R and some

Hi When I use the read.table function with header = T, I notice that it gives me the variable names along the top as I expect. But, when I then attempt an analysis, e.g. regression, it doesn't recognize the variable names. Am I missing a step. Thank you David [[alternative HTML version deleted]]

Dear r-users, Suppose I have two data sets data set-1 Date height ------------------------ 1/11/2005 10 2/11/2005 23 3/11/2005 54 4/11/2005 21 5/11/2005 22 data set-2 weight -------- 32 45 11 Now I want to combine this two data sets. i.e. i want to see: Date height weight ------------------------------------------- 3/11/2005 54

I'm trying to write a simple function that does the following: [command] xify(5.2) [output] XXX.XX [command] xify(3) [output] XXX Any simple solutions (without using python/perl/unix script/...)? Thanks, Saghir --------------------------------------------------------- Legal Notice: This electronic mail and its attachments are i...{{dropped}}

I am at my first steps with R... and I already notice that the console has a quite limited number of lines. Can anyone tell me how to visualise all the information, which is actually present? I only see the last part of the output, which obviosly exceeds the maximum number of rows in the console. Thank you very much for your help! Daniela [[alternative HTML version deleted]]

Good morning, I have currently 63 .csv files most of which have lines which look like 01/06/05,23445 Though some files have two numbers beside each date. There are missing values, and currently the longest file has 318 rows. (merge() is losing the head and doing runaway memory allocation - but thats another question - I'm still trying to pin that issue down and make a small repeatable

Hi! I'm trying to use lm(y~x) amongst others in an automated way; I've gone through the section on indexing in R-lang and I've looked MASS4. How do I find out more about the structure of the returned object? In perl I can look at object structure pretty-printed in the debugger - is there an R equivalent? I've used coef(lm(y~x))[[1]] and coef(lm(y~x))[[2]] to extract the

Question: would it be better if the contents list of the unzip() function returned the filenames as character rather than factor since they are probably unique strings? > tmp <- unzip(fnam, list=TRUE) > str(tmp) 'data.frame': 31 obs. of 3 variables: $ Name : Factor w/ 31 levels "fred1.csv",..: 1 2 3 4 5 6 7 8 9 10 ... $ Length: num 424486 2664277 219798 442383

Hi, This is just an FYI documenting a conflict between R and Google-Desktop. The solution was to click on the Google-Desktop icon in the systray and click on "Pause Indexing". I also temporarily suspended anti-virus scanning before successfully install.packages("VR") many times without getting an error message. I was getting an intermittant failure when I tried to install a

...e 'q()' to quit R. > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 178186 4.8 407500 10.9 350000 9.4 Vcells 73112 0.6 786432 6.0 333585 2.6 > # take the information in the .csv files created from the emails > setwd("C:/Documents and Settings/c_oriordain_s/My Documents/pasip/mms/mms_emails") > > # the input file from Amdocs (as supplied by revenue assurance) > amdocs_csv_filename <- "amdocs_volumes_revised4.csv" > # where shall we put the output plot file > copypath <- "\\\\ient1dfs001\\general\\Process Impr...