similar to: setting the environment variable R_LIBS

Hi : Whenever I try to run R in a second session( but not in the same working directory ) , I get the error below Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library '/u/etlfs/dev/users/leedsmar/res/R/lib/chron/libs/chron.so': /lib/i686/libc.so.6: version `GLIBC_2.3' not found (required by

My sessioninfo is below and I have two questions about loading packages in R : #======================================================================= ============================================================= R version 2.4.0 (2006-10-03) i686-pc-linux-gnu locale: C attached base packages: [1] "datasets" "methods" "utils" "stats"

I am at a new job where my sys admin installed R in linux and it does run when I log in as a user. I am on linux 2.1.2 but i'm not sure if it''s redhat etc ( but i doubt this matters for my question ). The alias put in my .envfile ( for the kshell ) is R = "/ms/dev/fsf/R/2.0.0/install/.exec/ia32.linux.2.4.lib6/lib/R/bin/exec/R" and my R_HOME is

This was sent to me by someone on the R-list ( I don't know her ) but I don't have time to look at this right now so I told her I would send it to the R-list because she said it keeps getting bounced when she sends it. #======================================================================= ==================================================================== I am a bit confused with

I was working on windows xp for a while and now i am back to linux ( not sure which kind but I can find out if that helps ) and i just have two questions that are really environment R questions rather than R code questions. 1) i use emacs ( or xemacs if need be ) and i vaguely being able to cut a line or a region in an emacs window and then paste it at my R prompt so that it ran. Could I be

A development note: In the function "install.packages", it would be helpful to those of us who have atypical installations and install manually from ZIP files to have pkgnames <- sub("\\.zip$", "", pkgnames) replaced with pkgnames <- sub("\\.zip$", "", pkgnames, ignore.case = TRUE) because the contributed zipfiles are ZIPfiles. The

A development note: In the function "install.packages", it would be helpful to those of us who have atypical installations and install manually from ZIP files to have pkgnames <- sub("\\.zip$", "", pkgnames) replaced with pkgnames <- sub("\\.zip$", "", pkgnames, ignore.case = TRUE) because the contributed zipfiles are ZIPfiles. The

I have comma delimited asci data with each row being in the format : 2006-01-24 02:41:24.00011,1.22930000,5,1.22950000,7 . . . . and i'm trying to use read.zoo ( which is similar to read.table ) to read in the data. the data goes all the way out to milliseconds and i can't figure out what to put for the format field. if i put nothing, then read.zoo gets rid of the the whole time and

I did a ?do.call but i don't think i understand it. if a, b,c,d are numeric vectors then could someone explain the difference between do.call("cbind",list(a,b,c,d)) and cbind(a,b,c,d). or point to an archive on it. the return value of cbind is a matrix or dataframe depending on what is sent in but i don't understand wheen it would be useful to use do.call. i realize it

I am trying to fit a B-spline regression model with a corStruct using gls. I am using bs() and specifying the knots myself. If I make the knots data-dependent, this works but has undesirable side-effects. I prefer to reference an auxilliary variable "knots" in my model formula. It should not be part of the data frame, as it is a vector of a different length. How can this be done? The

I have two numeric vectors each of length 17 and each is named the exact same way. so obsnum ppppp ppppm pppmp . dot dot dot...... temp1 is 1417 52 63 85 obsnum ppppp ppppm pppmp . dot dot dot...... temp2 is 1213 41 50 97 what i want to have is a resultant matrix with 2 rows and 16 columns where the 16

I have a question and it's only relation to R is that I probably need R after I understand what to do. Both models are delta y_t = Beta + epslion and suppose I have a null hypothesis and alternative hypothesis H_0 : delta y_t = zero + epsilon epsilon is normal ( 0, sigmazero^2 ) H_1 delta y_t = beta + epsilon epsilon is normal ( sigmabeta^2 )

i am looping and creating plots which are coming to the screen. i am in linux and remember ( in a previopus life ) i used to use a command so that the next graph n + 1 didn't appear on the screen until i hit the return key after graph n appeared. i thought i remeber using the command unix but when i type unix at the r prompt, it gices me system. it's probably a deprecated command then but

as jim pointed out ( i think we were figuring this out simultaneously. thanks a lot jim ), it looks it does have something to do with the fact that it's a zoo object because below i consider two cases. in the first case, fxdatab is a zoo object and i get the length of temp to be 1. in the second case, fxdatac is a matrix and the results in temp are correct. gabor : i really hate to bother

Hi, I have Debian Testing running on a Lenovo Thinkpad X1 Carbon (2015, 3rd gen.). I would like to have a package library independent of the installed R version. Under Ubuntu, I used to have the following line in ~/.Renviron: R_LIBS=/usr/local/R/library:/usr/lib/R/site-library This worked fine and /usr/local/R/library showed up in .libPaths(). However, under Debian (with the same ~/.Renviron),

Hi, R people. I'm shy reporting this, as a bug in this area sounds very unlikely. Did I make my tests wrongly? I'm still flaky at all this. Let me dare nevertheless, who knows, just in case... Please don't kill me! :-) Not so long ago, I wrote to this list: > (For now, [the library code] works only for me when I do _not_ use `-l > MY/OWN/LIBDIR' at `R CMD INSTALL'

Hi All, I created a two variable lm() model slm<-lm(y[1:3000,8]~y[1:3000,12]+y[1:3000,15]) I made two predictions predict(slm,newdata=y[201:3200,]) predict(slm,newdata=y[601:3600,]) there is no error message for either of these. the results are identical, and identical to slm$fitted as well. if this is not the right way to apply the model coefficients to a new set of inputs, what is

I familarized myelf with kalmanlike and structts which are approaches for building and estimating ( and forecasting ) state space models ( or the equivalent arima models ). back in 2003, gavin simpson wrote an email describing the west and harrison apprach to estimate state space models and asked if anything was out there for using that approach. the goals of this approach are the same as kalman

Yes you are right ... an example is mandatory. So ... I have a matrix of 0 with just a single 1 per row and per column I need to extract all maximal 'diagonal' submatrices Let's say I have the following matrix A B C D E a 0 1 0 0 0 b 1 0 0 0 0 c 0 0 1 0 0 d 0 0 0 1 0 e 0 0 0 0 1 well I would like to get, for this example, the two following submatrices A B C D E

Dear List, Further to my earlier email, I note that, for me at least, R CMD check is *not* reading R_LIBS from ~/.R/check.Renviron on R 2.15.2 patched (r61228) and R Under Development (r61660). The only way I can get R CMD check to look for packages in a user-supplied library is by explicitly exporting R_LIBS set to the relevant directory. R CMD build *does* read R_LIBS from ~/.R/build.Renviron