similar to: R 2.9.0 MASS package

Full_Name: Dieter Kadelka Version: 2.9.0 OS: Linux Submission from: (NULL) (129.13.115.98) Hallo, my system is Linux mspcka3 2.6.5-7.276-default #1 Mon Jul 24 10:45:31 UTC 2006 i686 GNU/Linux with gcc-4.3.3 Installation of R-2.9.0 fails, R-2.8.1 is o.k. After configure make I get ... WARNING: ignoring environment value of R_HOME >>> Building/Updating help pages for package

'R CMD build --binary BUNDLE' and Windows. When using R version 2.9.0 beta for 'R CMD build --binary CoCo' on Windows only the first package of the 'Contains' field of the bundle DESCRIPTION file ends up in the zip file. (Same result for the bundle 'VR' by R version 2.9.0 beta.) The check of the CoCo bundle version 0.1.7.5 by R version 2.9.0 beta is OK (on

I know this is easy, but I am stumped: > gsub("0","K","8.00+00") [1] "8.KK+KK" > gsub("+","K","8.00+00") Error in gsub("+", "K", "8.00+00") : invalid regular expression '+' In addition: Warning message: In gsub("+", "K", "8.00+00") : regcomp error:

Hi, Following on from suggestions made last week, I decided to install R 2.1.0 on my Linux machine. I'm running into a problem there however, as shown: make[1]: Entering directory `/d0/home/fgibbons/tmp/R2.1.0/R-2.1.0/src/library/Recommended' make[2]: Entering directory `/d0/home/fgibbons/tmp/R2.1.0/R-2.1.0/src/library/Recommended' begin installing recommended package VR WARNING:

Hi, since a couple of days ago I see failures when using R CMD INSTALL -l lib path-to-src/pkg.tar.gz This occurs in automated library updating via a shell script and is caused by the immediate preceding call to leave an 00LOCK folder even though the package installation of that call succeeded. This occurs at random (no obvious/systematic correlation to package name or or such) and only for

Assume that I have the dataframe "data1", which is listed at the end of this message. I want count the number of lines that each person has for each year. For example, the person with ID=213 has 15 entries (NinYear) for 1953. The following bit of code calculates NinYear: for (i in 1:length(data1$ID)) { data1$NinYear[i] <- length(data1[data1$Year==data1$Year[i] &

When I run this calculation library(ISwR) library(simple.boot) data(thuesen) fit <- lm(thuesen$short.velocity~thuesen$blood.glucose) summary(fit) fit.sb <- lm.boot(fit,R=1000,rows=F) summary(fit.sb) I get the following error from the lm.boot routine: newdata' had 100 rows but variable(s) found have 24 rows I don't know what this error means. Also, this example is

I understand that the hat matrix is a function of the predictor variable alone. So, in the following example why do the values on the diagonal of the hat matrix change when I go from an unweighted fit to a weighted fit? Is the function hatvalues giving me something other than what I think it is? library(ISwR) data(thuesen) attach(thuesen) fit <- lm(short.velocity ~ blood.glucose)

The mle2 function (bbmle library) gives an example something like the following in its help page. How do I access the coefficients, standard errors, etc in the summary of "a"? > x <- 0:10 > y <- c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8) > LL <- function(ymax=15, xhalf=6) + -sum(stats::dpois(y, lambda=ymax/(1+x/xhalf), log=TRUE)) > a <- mle2(LL,

I have two collections of dates and I want to figure out what dates they have in common. This is not giving me what I want (I don't know what it is giving me). What is the best way to do this? Tom > data1 [1] "1948-02-24 EST" "1949-04-12 EST" "1950-05-29 EDT" "1951-05-21 EDT" [5] "1951-12-20 EST" "1953-01-22 EST"

What is the simplest way to specify the location of text in a scatter plot (created using the plot function) in relative terms rather than specific x-y coordinates? For example, rather than putting text at (300,49) on a plot, how do I put it 1/10 of the way over from the y axis and 1/2 of the way up from the x axis? Thanks. Tom -- View this message in context:

Full_Name: Stefan Raberger Version: 2.8.1 OS: Windows XP Submission from: (NULL) (213.185.163.242) Hi there, I recently noticed some strange behaviour of the command "type.convert", depending on the startup mode used. But there also seems to be different behaviour on different PCs (all running the same OS and the same version of R). On PC1: When I start R in SDI mode (RGui --no-save

Dear Helper, Under UNIX "Solaris 10 3/05 s10_74L2a SPARC" and with following "R Installa= tion and Administration" @ http://cran.r-project.org/, First, I unzipped the unix version winzip source code R-2.9.0.tar.gz using= following commands at my own dir: /home/xwu/R1>gzip -dc R-2.9.0.tar.gz | tar xvf - (a subdir /home/xwu/R1R-2.9.0/ was

Full_Name: Jeet Sukumaran Version: 2.9.0 OS: OS X / Rocks 5.1 Submission from: (NULL) (66.45.136.241) If R is configured using the "--with=x=no" option, then the make fails with the following error: make[4]: Entering directory `/home/jeet/Scratch/r-build/on-frontend/R-2.9.0/src/modules/vfonts' gcc -std=gnu99 -I. -I../../../src/include -I../../../src/include -I/usr/local/include

Is there a built-in function in R that will generate simultaneous confidence and prediction bands for linear regression? Tom -- View this message in context: http://www.nabble.com/Simultaneous-Confidence-Prediction-Bands-tp17941537p17941537.html Sent from the R help mailing list archive at Nabble.com.

Is there an elegant way in R to change a number reported as a less-than number in text format, "<1" for example, to the numeric equivalent 1? I have been trying to use as.numeric, but have not come up with anything clever yet. Tom -- View this message in context: http://www.nabble.com/How-do-I-Convert-%22%3C1%22-to-the-number-1--tp19651018p19651018.html Sent from the R help

Full_Name: Version: 2.9.0 OS: windows, linux Submission from: (NULL) (128.231.21.125) In NEWS, it says "median.default() was altered in 2.8.1 to use sum() rather than mean(), although it was still documented to use mean(). This caused problems for POSIXt objects, for which mean() but not sum() makes sense, so the change has been reverted." But it's not reverted yet.

Hello, I use t.test for normal distributed and wilcox.test for non-normal distributed samples. It is easy to write a function for t.test that calculates the effect size, because all parts of the formula are available from the t.test result: r = sqrt(t*t / (t*t + df)) However, for Wilcoxon tests, the formula for effect sizes is: r = Z / sqrt(N) I wonder how I can calculate the Z-score in R for

Hello, I'm trying to plot a fitted lm() line on a plot when the one explanatory variable is log transformed and log="x". I get different lines using abline and predict.lm(). #Example x <- 1:100 y <- rnorm(100) plot(y ~ x, log="x") abline(lm(y ~ log(x))) lines(x, predict(lm(y ~ log(x))), lwd=2) I'm sure I'm missing something but could someone tell me which

Hi, Having finally gotten around to installing R-2.9.0, I find that while the docs still say I can invoke the --no-latex option, R CMD INSTALL has decided that I can't. Nor is there any notice of this that I can find in the 2.9 series news. Is this just a trifling oversight that will be repaired? Jim