similar to: Problems with PDF/Latex when building a package

Dear listers, I just run R CMD check on an update of one of my packages. All seems fine but after having gone through all the Rd-file and example checking and so on, I get the following kind of errors: LaTeX errors when creating PDF version. This typically indicates Rd problems. LaTeX errors found: ! Font T1/ptm/m/n/10=ptmr8t at 10.0pt not loadable: Metric (TFM) file not found . <to be read

Could someone tell me how to end the trouble I'm encountering when running latex on the .tex file produced by Sweave()? Sweave() seems to process the example file (http://www.ci.tuwien.ac.at/~leisch/Sweave/example-1.Snw) without problems, and the file example-1.tex produced is the same as in the Sweave manual. However, when I run latex on example-1.tex, many error messages and requests for

On a CentOS 7 machine, I am at a loss with respect to an inability to run a full R CMD check as anything involving tex files ends in tears. We followed the README at CRAN and installed a large number of tex-live packages on this machine. But when a manual is created, we end up with what follows below. Here, I chopped some of the error messages, the key seems to be 'Insufficient extension

Dear R Development People: I have written a couple of plugins for Rcmdr and they do not seem to work with R-2.11.0. Here is the output: > library(RcmdrPlugin.epack) Loading required package: Rcmdr Loading required package: tcltk Loading Tcl/Tk interface ... done Loading required package: car --- Please select a CRAN mirror for use in this session --- Rcmdr Version 1.5-4 Attaching package:

Hi all I am trying to build an R package, which I have successfully done many times before, but have an error I cannot trace. I hope someone can help me. Here's is some edited output (full output below if it is useful): pdunn2 at PDunnUbuntu:~/DSdata$ R CMD build GLMsData * checking for file 'GLMsData/DESCRIPTION' ... OK * preparing 'GLMsData': * checking DESCRIPTION

Hi, Has anyone had any luck looking into this by any chance ? > On Mon, Aug 04, 2008 at 02:34:23PM -0400, Jeff Wieland wrote: >> Since we upgraded OpenSSH from 5.0p1 to 5.1p1 on our Solaris 8 boxes >> (I know, I know, we should upgrade or retire them...), we've started >> experiencing problems with slogin'ing into these boxes, running vi, >> and pasting text

Dear R People: I have updated the RcmdrPlugin.epack with new menus, and added: additive decomposition; HoltWinters; Exponential smoothing. Thanks to many for their help in the process! Sincerely, Erin -- Erin Hodgess Associate Professor Department of Computer and Mathematical Sciences University of Houston - Downtown mailto: erinm.hodgess at gmail.com

Dear R Helpers, A few weeks ago I asked for some help on how to accomplish modifications to data in a set of data frames. As part of that request I mentioned that I realized that one way to accomplish my goal was to put the data frames together in a list but that I was looking for a way to do it with data frames and a loop because I "believe the better thing is to work df by df for my

Dear R experts: I just tried some simple test that told me that hand computing the OLS coefficients is about 3-10 times as fast as using the built-in lm() function. (code included below.) Most of the time, I do not care, because I like the convenience, and I presume some of the time goes into saving a lot of stuff that I may or may not need. But when I do want to learn the properties of an

Is it an undocumented (at least I missed it if it's documented) feature of the reshape function to do numeric variables followed by character? I ask because that seems to be the case below. > str(rcw) 'data.frame': 23 obs. of 21 variables: $ ICU : int 1 18 17 9 22 19 6 16 25 26 ... $ Q6.RC.1 : chr "SM" "JF" "IW"

Hi; I've been asked to take a (remote) look at an Asterisk@home system running asterisk 1.0.9 on Centos 3.5. It's running chan_capi-0.3.5 It has an AVM c2 ISDN card which is plugged into what I believe to be a couple of BT ISDN2e "System Access" (i.e. point to point) connections. We've placed a support call to BT to find out how these lines are actually provisioned, but

I am comparing two different algorithms in terms of speed and memory usage. I can calculate the processing time with proc.time() as follows but am not sure how to calculate the memory usage. ptm <- proc.time() x <- rnorm(1000000) proc.time() - ptm I would like to be within R itself since I will test the algorithm several hundred times and in batch mode. So manually looking up

[I am herewith re-posting this message on R-devel, as it seems to be the most appropriate mailing list for this issue.] Dear List, >From what I understand, strptime() simply converts from one class representation to another; i.e., from character to POSIXct/POSIXlt. One strange feature of this command running on Linux is that there are repeated calls to system time (as was revealed

Hello, (Apologies for length, wanted to get all the relevant detail in that I know of). I've been having a lot of trouble with some code for an inventory analysis problem I was doing, and finally came to the conclusion that it appears that choose() is returning incorrect values. Specifically: ------------- Browse[1]> nn [1] 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3

Dear Dr. Gilbert, Dr. Varadhan and all R-help list members, I'm using the function BBsolve( ) and I have some questions on the stopping criterion "maxit" and "noimp" specified in the option "control". Here are two such examples I'm having problem with. In these two examples, the function BBsolve( ) always stops at iteration 100, overlooking the values

Dear List, For what I understand, strptime() simply converts from one class representation to another; i.e., from character to POSIXct/POSIXlt. One strange feature of this command running on Linux is that there are repeated calls to system time (as was revealed in a trace of system calls), which considerably affect performance. These system calls end up taking almost 75% of the execution

Hello R Community, I've been run the following codes. However, I've been getting an unusual segfault that I'm unable to trace its origin. Please give me a light to decipher the "caught segfault" Thanks for you attention. Bernardo. > options(STERM='iESS', editor='emacsclient') > rm(list = ls()) > > source("fgenIGLD.R") #RNG

Hi, I'm Sorry for any cross-posting. I've reviewed the archives and could not find an exact answer to my question below. I'm trying to generate very large sparse matrices (< 1% non-zero entries per row). I have a sparse matrix function below which works well until the row/col count exceeds 10,000. This is being run on a machine with 32G memory: sparse_matrix <-

I recently updated all my plugins, and for the fun of it, I added ALL the Rcmdr Plugins to my collection to see what functionality might exist. I started Rcmdr and loaded ALL the available Plugins from to the Rcdmdr Tools menu. To my suprise Rcmdr produced a number of warnings and finally an error. The error suggests that some of the extensions are incompatable with each other because of menu

Hello all, I'm just starting to learn R and I heard a good way of doing that was R Commander. For my work I use a lot of time series, so I installed (and loaded) R Commander with epack. When I go to Ts-Models, after loading my data, I click on ARIMA Models tab. I load my variable D1 Ln Demand (1st differenced ln demand). I set my regular and seasonal p d q settings hit run and I get: [1]