similar to: Increasing memory size in ESS

Hi, I'm new to R and have a question which seems like it should be easy. I loaded the R port of my boot library and installed it. All of the functions and help files are available but I can't seem to access the data. The data directory was created and contains files with the extension .rda. I tried to use the data() function but I get > data(city) Error: restore file corrupted -- no

I'm using plot to make a simple plot but I want to control where the tick marks go on bot axes. The graphical parameters xaxp and yaxp seem to be ignored by the plot function so I tried setting them using op <- par(no.readonly=T) par(xaxp=c(-2.4,-2.2,5), yaxp=c(-2500,10000,6)) plot(...) par(op) but they are still ignored. Next I tried to use the axis function as follows op <-

Hi, The following code, from Angelo Canty article on line "Resampling Methods in R: the boot Package, 2002", works fine for Angelo Canty using R 2.6.0 on Windows XP. It also works for me using R 1.2.1 and S-PLUS 2000 on Windows XP after installing the S-PLUS bootstrap library, with slight differences in my outputs. > library(boot) > library(survival) >

hi- in r 1.1 on windows 2000 with length(AU) of 35833 AUcap30<-0 for(i in 1:length(AU))AUcap30[i]<-min(30,AU[i]) took over an hour on pentium II 300 mhertz (I esc'ed before it finished) but AUcap30<-AU for(i in 1:length(AU))AUcap30[i]<-min(30,AU[i]) is very quick (a few seconds) Is this performance difference common in r (ie is linux the same way)? Are there other tricks

hi- in r 1.1 on windows 2000 with length(AU) of 35833 AUcap30<-0 for(i in 1:length(AU))AUcap30[i]<-min(30,AU[i]) took over an hour on pentium II 300 mhertz (I esc'ed before it finished) but AUcap30<-AU for(i in 1:length(AU))AUcap30[i]<-min(30,AU[i]) is very quick (a few seconds) Is this performance difference common in r (ie is linux the same way)? Are there other tricks

Hi, Suppose that I have a list where each component is a list of two matrices. I also have a vector of weights. How can I collapse my list of lists into a single list of two matrices where each matrix in the result is the weighted sum of the corresponding matrices. I could use a loop but this is a nested calculation so I was hoping there is a more efficient way to do this. To help clarify,

Hi, The following code, from Angelo Canty article on line "Resampling Methods in R: the boot Package, 2002", works fine for Angelo Canty using R 2.6.0 on Windows XP. It also works for me using R 1.2.1 and S-PLUS 2000 on Windows XP after installing the S-PLUS bootstrap library, with slight differences in my outputs. > library(boot) >

Hi, I have come across the following problem which seems to be a scoping issue but I'm at a loss to see why this is so or to find a good workaround. Suppose I have a function to get a prediction after model selection using the step function. step.pred <- function(dat, x0) { fit.model <- step(lm(y~., data=dat), trace=F) predict(fit.model, x0, se.fit=T) } This function works

Hi, If columns of a data.frame have a names attribute and we rbind two similar data.frames together, the names of the column of the resulting data.frame only has the correct values for the first component and has "" in all other positions. Is this a documented "feature" or a bug? If it is intentional, why? Here is a small example to show what I mean. The same behaviour

Hi, Using R1.9.1 for Windows with Windows 2000 (also XP), I have come across the following problem that I have not seen before and am at a loss to explain. If I create an object using rlm from library(MASS) and then save the workspace, I cannot reopen it using RGUI by double clicking on the .RData file as I normally do. If I double click on the icon, R starts and then gives the following

Hi, I'm using R 1.7.1 on a Windows 2K computer. For some reason erase.screen does not seem to be working correctly. That is it does not erase the requested screen. That is the old graphic is still visible and any subsequent graphics are superimposed over it making them impossible to read. What is worse is that they print out this way also. The same behaviour happens with a Windows XP

Dear List, While trying to define a customised CITATION file for a package, following R-exts, I realised that if I use only one 'citEntry' I got both a text description and a BibTex entry for the package, as for the 'nlme' package: -------------------------- citation('nlme') To cite package 'nlme' in publications use: Jose Pinheiro, Douglas Bates, Saikat

Mandi! Kees van Vloten via samba In chel di` si favelave... > Solution is easy: upgrading winbind from Debian backports solves the issue ! I've upgraded to latest buster version 4.18.10+dfsg-1~buster, but still does not work for me... Now display: root at vfwacpn1:~# net ads changetrustpw get_kdc_ip_string: get_kdc_list fail NT_STATUS_NO_LOGON_SERVERS Changing password for

Hi, This is probably really simple, but I am clearly not R-minded, I have read the help files, and reread them, and I still can't work out what to do... I have a data frame (d) with 3 columns (age (0-5), quarter (1-4) and x). I want to estimate the precision of my mean x by age and quarter, so I want to carry out a bootstrap for each group. I am trying to do this within a loop, so I don't

Dear All, Anyone has some idea how to implement 632 estimator and leave-one out bootstraping method by using boot package. I know the bootstrap package has this function, but it sounds not very flexible for my project. Thanks, Jim

Hello, I am trying to carry out a bootstrap analysis (using the boot package) on a table and cannot work out how to get the results I need! I have a table ("d2") with 4 columns: "ID_code", "Age", "Quarter" and "StomWt". Age (0-5) and Quarter (1-4) are my strata Therefore I wish to estimate the confidence intervals for the mean StomWt for each Age

For anybody who uses ESS with R, how do you invoke the vsize and nsize options when you call R. I can't find any appropriate variables from an apropos. Thanks, Jord -- Jordan Howarth CSIRO Mathematical and Information Sciences mailto:jordan.howarth at cmis.csiro.au -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

When I type library() to see what is installed the following list in RED comes up. Packages in library '/home/jason/R/i686-pc-linux-gnu-library/2.13': abind Combine multi-dimensional arrays aplpack Another Plot PACKage: stem.leaf, bagplot, faces, spin3R, and some slider functions biglm bounded memory linear and

Hi, The following code, from Angelo Canty article on line "Resampling Methods in R: the boot Package, 2002", works fine for Angelo Canty using R 2.6.0 on Windows XP. It also works for me using R 1.2.1 and S-PLUS 2000 on Windows XP after installing the S-PLUS bootstrap library, with slight differences in my outputs. > library(boot) > library(survival) >

Question: How can I get access to the bias value of a boot statistic? Details: Boot function: boot(data, statistic, R, sim="ordinary", stype="i", strata=rep(1,n), L=NULL, m=0, weights=NULL, ran.gen=function(d, p) d, mle=NULL, ...) When I create an object, containing the bootstrap statistic (object <- boot (....))I can call it and will get an output