similar to: summary() and range(): inconsistency?

I have a problem with duplicated date_time stamps that I do not see as duplicated. I read a file with observations taken every 30 minutes: > aur2009=read.csv(paste(datadir,"AUR_ECPP_2009.csv",sep="/"),sep=";",stringsAsFactors=F) > aur2009[1:3,1:5] Date.Time E_filled E_filled_flag LE_filled LE_filled_flag 1 1/1/2009 0:00 0 NaN 5.86

I'm trying to get a minimally intuitive way of plotting zoo objects extracted for given periods of time I do: > plot(alyL32007z$NEE_st,col=cod,type="b",pch=18,xlim=time(alyL32007z)[c(3000,15000)]) and get a correct plot but the expression for xlim is hard to read by humans. I try > time(alyL32007z)[c(3000,15000)] [1] "2007-03-04 11:30:00 UTC" "2007-11-09

I'm doing m <- match(matriz, origen, 0) where matriz is a 270x900 matrix and origen a 11675 elements vector, and is taking a very long time. Is match a function implemented in C? If not, would a C code be faster? Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410 fax 34 93411 0012 alobo at ija.csic.es

Thanks for your help on moving files from S+ to R and on attaching directories. If attaching directories is NOT possible in R, is there any other way to separate objects into different folders or something similar? For example, to keep user functions for multivariate analysis in a different "place" than user functions on time series, or to keep data objects of project_1 in a different

Thanks for your help on moving files from S+ to R and on attaching directories. If attaching directories is NOT possible in R, is there any other way to separate objects into different folders or something similar? For example, to keep user functions for multivariate analysis in a different "place" than user functions on time series, or to keep data objects of project_1 in a different

Hi there, Given 2 lists of integer vectors, i.e.: > lista1 $"1" [1] 1 34 5 $"2" [1] 2 1 $"3" [1] 3 10 15 > lista2 $"1" [1] 1 5 $"2" [1] 2 1 $"3" [1] 3 10 29 I want to obtain the union of both, defined as the union of the vectors, that is lista.union[[1]] <- union(lista1[[1]],lista2[[1]]): > lista.union

Hi! I have a 3d array: > dim(ib5km15.dbc) [1] 190 241 19 and a set of positions to extract: > ib5km.lincol.random[1:3,] [,1] [,2] [1,] 78 70 [2,] 29 213 [3,] 180 22 Geting the values of a 2D array for that set of positions would be: > ima <- ib5km15.dbc[,,1] > ima[ib5km.lincol.random[1:10,]] but don't find the way for the case of the 3D array: >

Hi! I'm trying to use readline() to ask for xlim() and ylim() values for a subsequent plot. I'm doing: lim <- readline("Enter xlim and ylim values: ") then would like to use the values in lim for a plot: plot(etc, xlim=lim[1:2],ylim=lim[3:4]) The problem is that lim is a character,i.e., "10,20,-10,50" or "c(10,20,-10,50)" depending on the input to

As far as I can see by searching the archieves, R could not take advantage of two processors in the same machine but there were plans for implementing multithreading in R. Is this work going on? On the other hand, if two processors are present in the same linux machine is it possible to focus one processor on tasks of the operative system and the other on R and/or other real computing? Could

Hi, I'm using plot.lda (R1.4.0 on linux) and, if dimen > 2, I get the error: Error in text.default(x, y, txt, cex = cex, font = font) : X11 font at size 16 could not be loaded The traceback indicates that the problem comes from pairs(). I've tried several cex and font values, always with the same error. The same command works fine with pdf() If I'm missing fonts, how

Dear R-users and R-developpers, I've not been able to find 3d graphics in R, like Splus spin() or brush(). Are there any that I've missed and/or is anybody working on implementing these type of functions? Thanks Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410 fax 34 93411 0012 alobo at ija.csic.es

I know I've seen the answer to this question but could not find it now: What's the appropriate(s) general reference(s) for the "R language and environment for statistical computing and graphics" that should be included in a scientific article? Thanks Agus Dr. Agustin Lobo Instituto de Ciencias de la Tierra (CSIC) Lluis Sole Sabaris s/n 08028 Barcelona SPAIN tel 34 93409 5410

After configure, make and make check on a linux Suse 7.3 box, I run make dvi and make info with no problems but get a lot of garbage to my screen during make pdf. Is this normal? Is there a bug in this part of the installation? This is part of what I get on the screen: humboldt:/usr/local/R-patched # make pdf make[1]: Entering directory `/usr/local/R-patched/doc' make[2]: Entering

I've searched the doc for insert and could not find the way to do the following, hope someone can help: Let's say we have a vector: > a [1] "1" "2" "3" "5" "6" "3" and we want to insert a "7" after any given "3", i.e., we want vector a to become: [1] "1" "2" "3"

Hi! I've been able to configure and make R (1,4,0 linux) except for the gnome support. I've checked all packages and libs mentioned in R-admin.pdf (and by Luke Tierny) to make sure that I have them and even using the following: ./configure --with-gnome --with-gnome-includes=/opt/gnome/include --with-gnome-libs=/opt/gnome/lib --with-libglade-config=opt/gnome/lib I still get: R is now

A question for a (experienced) user of the RPython package on linux. I'm trying to call R from python on a linux (Suse 7.3) box. After installing R CMD INSTALL -c RSPython_0.5-2.tar.gz I start python and do: >>> import sys >>> sys.path.append('/usr/local/lib/R/library/RSPython') >>> sys.path.append('/usr/local/lib/R/library/RSPython/Python')

Hi! I'm writing down the methods that I used to migrate from Splus to R and expand a bit the R docs for this subject. Prior to send these notes to the FAQ curator I would like to make sure on the following: Given an ascii text file with several functions (i.e., myfuncs.txt), is there any equivalent to load(), so that the functions become usable in R? Or is it necessary to install it as a

I have the following problem: I have a vector x of data (0<x<=1 ) with a U-shaped histogram and try to fit a beta distribution using fitdistr. In fact, hist(rbeta(100,0.1,0.1)) looks a lot like my data. The equivalent to the example in the manual sometimes work: > a <- rbeta(100,0.1,0.1) > fitdistr(x=a, "beta", start=list(shape1=0.1,shape2=0.1))1) > shape1

Hi! The R-intro guide states that: "The graphics facilities can be used in both interactive and batch modes,.." but I'm trying both R BATCH commands.file and R --no-save < commands.file and, although I get no errors and the output file with the results is written to disk, I get no graphics. (I want the R function to leave results in a file that a shell script reads and use,

Hi list! I'm computing multivar. distances from a set of centroids to a (large) set of individuals. I'm now just using rbind to create a matrix (x) with the centroid and the individuals, then run as.matrix(dist(x)) and finally select the appropriate columns, as I'm not interested on the distances among individuals. Therefore, this procedure implies a waste of computing time. Is there