similar to: Saving 3d objects vs. pausing in non-interactive (scripted) mode

I used pause() from library(DAAG) to pasue between plots. This works when I source a script, but seems don't work when I run (ctrl + R) the script in R. Did I do something wrong? Thanks.

I used pause() from library(DAAG) to pasue between plots. This works when I source a script, but seems don't work when I run (ctrl + R) the script in R. Did I do something wrong? Thanks.

I just downloaded the windows version R version 2.4.0 alpha (2006-09-05 r39134) 1. When I downloaded the packages, the following two were not found. > utils:::menuInstallPkgs() --- Please select a CRAN mirror for use in this session --- dependency ''fCalendar'' is not available dependency ''SparseM'' is not available I am not sure which other packages

I use R on my Ubuntu 9.04 laptop, which was installed by "aptitude install" way Now i'm learning a book of R which needs "MASS" and "DAAG" installed. So i followed the instructions: >install.packages("MASS") >library("MASS") MASS works fine. But DAAG doesn't. Anyone who could help would be appreciated a lot ! Below are my error

I use R on my Ubuntu 9.04 laptop, which was installed by "aptitude install" way Now i'm learning a book of R which needs "MASS" and "DAAG" installed. So i followed the instructions: >install.packages("MASS") >library("MASS") MASS works fine. But DAAG doesn't. Anyone who could help would be appreciated a lot ! Below are my error

Dear R users, I'm a newbie for R and want to ask some basic questions. So, after I open the R software, I typed library(DAAG). Then, I get massive warning messages as shown below. Why does it happen? Also, here are few specific questions regarding each message. 1) Loading required package: MASS -> Does this mean that the MASS package is not included in DAAG? 2) Attaching package:

I would like to run a loop in R. I have never done this before, so I would be very grateful for your help ! 1. I have a sample set: 25 objects. I would like to draw 1 object from it and use it as a test set for my future external validation. The remaining 24 objects I would like to use as a training set (to select a model). I would like to repeat this process until all 25 objects are used as a

I am failing to get compactPDF to make any change to a pdf file that, a/c to the message from the CRAN upload site, can be very substantially compacted. Any ideas what may be wrong? I have also tried recreating the pdf file. I also tried R CMD build --resave-data --compact-vignettes DAAG The data files compact alright (but I get the 'significantly better compression' warning message

Hie I am trying to install Package DAAG this is the error I get > library(DAAG) Loading required package: randomForest Error: package 'randomForest' could not be loaded In addition: Warning message: In library(pkg, character.only = TRUE, logical.return = TRUE, lib.loc = lib.loc) : there is no package called 'randomForest' what should i do thanks The University of Fort Hare

(See DAAG book, p. 173, ex. 3) I'm a new user of R, and I'm following the DAAG text. I want to create a subset of the races2000 data frame, but get errors because of a mismatch of values in some columns: > library(DAAG) > attach(races2000) > hills2000 <- races2000[races2000$type == 'hill'] Error in as.matrix.data.frame(x) : dim<- : dims [product 770] do not

Dear all, perhaps I am using princomp.formula and prcomp.formula in a way that is not documented to work, but then the documentation just says: formula: a formula with no response variable. Thus, to avoid a lot of typing, it would be nice if one could use '.' and '-' in the formula, e.g. > library(DAAG) > res <- prcomp(~ . - case - site - Pop - sex, possum)

I'm unable to open an SPSS file over my network. If I copy it to my local C:/ drive I can read it. I saved the command (in a "crib sheet" text file) in order to avoid all the typing, so I'm pretty sure I've done it before. I verified that the file I'm trying to read is OK. This is what happens: > SurveyData <-

Dear list, I am trying to re-analyse something. I do have two time series, one of which (ts.mar) might help explaining the other (ts.anr). In the original analysis, no-one seems to have cared about the data being time-series and they just did OLS. This yielded a strong positive correlation. I want to know if this correlation is still as strong when the autocorrelations are taken into account.

This code below produces empty XXX.png files - if I use plot(), it works and if I enter the commands png(filename=fn) bubble(positions, do.sqrt=FALSE, main=q) dev.off() manually, it works as well. I am lost - any help appreciated. The weird thing is that it worked before I made some changes... (I don't have a copy of the working version...). R version: platform i686-pc-linux-gnu arch

Dear List I just downloaded and installed R 2.12.0 and then installed R Commander . First it got RCmdr and Car, and then suggested for other packages for utilizing the full functionality- I clicked yes! I got 140 packages installed!!! Cran Mirror was UCLA... Here is the list. Is this intentional- I can see some packages like snow and multicore which are desirable but quite optional.(see list

Context: I have two or more rgl-based views of a given data set, perhaps fitting different models, or showing different things across views. I want to be able to hand-rotate, zoom, scale one view to something I like, and then show the other views with matching viewpoints and scaling. so that one could flip back/forth among graphs and see only the relevant differences. In 2D, all this usually

Dear list, I have a time-series Y of length n which has significant auto-correlation at lag 1, as indicated by acf plots. According to certain criteria, I have defined two groups of observations n1 and n2. The objective is to estimate the difference of the means between these groups and test for significance. The problem is how to correct for auto-correlation within the groups. I guess one way

--begin inclusion -- I have a matched-case control dataset that I'm using conditional logistic regression (clogit in survival) to analyze. I'm trying to conduct k-folds cross validation on my top models but all of the packages I can find (CVbinary in DAAG, KVX) won't work with clogit models. Is there any easy way to do this in R? -end inclusion -- The clogit funciton is simply a

I have posted, at http://wwwmaths.anu.edu.au/~john/r/newsets/ image (.rda) files, and first stabs at .Rd files for various data on deaths in London from 1629 to 1939. (There are of course gaps.) The sources (Guy 1882 & Stocks 1942) are documented in the .Rd files: (1) poxetc: measles, smallpox & total deaths: 1629-1881 [I have deliberately left several inconsistencies that were in

I've just tried to install the tseries package (which seems to include quite a bit) and got the following results: package 'dynlm' successfully unpacked and MD5 sums checked package 'leaps' successfully unpacked and MD5 sums checked package 'chron' successfully unpacked and MD5 sums checked package 'fCalendar' successfully unpacked and MD5 sums checked package