similar to: shorten str() output for long list

I doubt str is intended to work the way you want it to. I certainly wouldn't use it that way. The choice of data structure here is inappropriate, use a vector not a list. If you absolutely must do what you are asking, then simply write your own function. Use a heuristic for object length, say if less than 200 do such and such, otherwise do something else. In regards to some of your other

I'm using caret to assess classifier performance (and it's great!). However, I've found that my results differ between R2.* and R3.* - reported accuracies are reduced dramatically. I suspect that a code change to kernlab ksvm may be responsible (see version 5.16-24 here: http://cran.r-project.org/web/packages/caret/news.html). I get very different results between caret_5.15-61 +

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Should utils::ls.str() be updated as: svn diff src/library/utils/R/str.R Index: src/library/utils/R/str.R =================================================================== --- src/library/utils/R/str.R (revision 71879) +++ src/library/utils/R/str.R (working copy) @@ -622,7 +622,7 @@ args$digits.d <- NULL } strargs <- c(list(max.level = max.level, give.attr = give.attr,

I have a pdf file that I would like to parse into R: http://www.williams.edu/Registrar/geninfo/faculty.pdf For now, I open the file in Acrobat by hand, then save it "as text" and then use readLines(). That works fine but a) I am concerned that some information may be lost and b) I may be doing this a lot, so I would rather have R grab the information from the pdf file directly. So: is

One thing that's bugged me is that some of the man page lines in the options summary are longer than 79 chars and wrap onto the next line. These are just one line summaries (detailed description appear later) so they can, and should, be terse. Here's an edited diff showing my proposed changes (and a 79 char ruler):

Hi, All I have a problem of R memory space. I am getting "Error: cannot allocate vector of size 198.4 Mb" ------------------------------ I've tried with: > memory.limit(size=2047); [1] 2047 > memory.size(max=TRUE); [1] 12.75 > library('RODBC'); > Channel<-odbcConnectAccess('c:/test.MDB'); # inputdata:15 cols, 2000000

Dear ?useRs, Rook version 1.0-3 has been submitted to CRAN. In the mean time you can get it here: https://github.com/jeffreyhorner/rRack/blob/master/Rook_1.0-3.tar.gz The latest release contains support for deployment with rApache. Please see 3.6.5 and 3.6.6 under section 'Configuring rApache' in the manual: http://www.rapache.net/manual.html#Configuring_rapache What is Rook? A

Dear ?useRs, Rook version 1.0-3 has been submitted to CRAN. In the mean time you can get it here: https://github.com/jeffreyhorner/rRack/blob/master/Rook_1.0-3.tar.gz The latest release contains support for deployment with rApache. Please see 3.6.5 and 3.6.6 under section 'Configuring rApache' in the manual: http://www.rapache.net/manual.html#Configuring_rapache What is Rook? A

Hello, Maybe I did not understand correctly the PKI trust, so forgive me if I am wrong. For example, I have multiple hosts that all serves as monitoring server, I would like to trust only these hosts, so I enrol a certificate for these using "monitoring" principal, so I can connect only to these. At first I thought we can do Match statement at ssh_config, however, the Match is being

Reading "R Internals" made me believe that R_UnboundValue was a placeholder that would be skipped over in variable lookup. viz. the section of R Internals "Hash tables" says "items are not actually deleted but have their value set to R_UnboundValue.", which seems to align with what I read in envir.c. So, I reasoned, if I have a function that returns R_UnboundValue,

Thanks to the lattice gurus on this list, and having reference to the excellent open-access Sarkar 2008 ISBN 978-0-387-75968-5 e-ISBN 978-0-387-75969-2 http://dx.doi.org/10.1007/978-0-387-75969-2 I now know how to label lattice panels by variable value: see thread starting @ https://stat.ethz.ch/pipermail/r-help/2012-November/329450.html (and demonstrated below). This allows me to use

Hello, I'm having difficulty passing an object name to a lapply function. Can somebody tell me the trick to make this work? #Works T13702 <- TRACKDATA[["13702.xls"]][["data"]] min(unlist(lapply(list(T13702), function(x) mdy.date(x[1, 2], x[1, 1], x[1, 3])))) 16553 #Works d<-2 assign(paste("T",substr(names(TRACKDATA)[d],1,(nchar(names(TRACKDATA)[d]

My understanding is that R will not make copies of lists if there is only one reference to the object. However, I've encountered a case where R does make copies, even though (I think) there should be only one reference to the object. I hope that someone could shed some light on why this is happening. I'll start with a simple example. Below, x is a list with one element, and changing that

I have a toy alt-rep string package that generates randomly seeded strings. example: library(altstringisode) x <- altrandomStrings(1e8) head(x) [1] "2PN0bdwPY7CA8M06zVKEkhHgZVgtV1" "5PN2qmWqBlQ9wQj99nsQzldVI5ZuGX" ... etc object.size(1e8) Object.size will call the set_altstring_Elt_method for every single element, materializing (slowly) every element of the vector. This

Hello: A call to help(..., help_type='text') fails with "package='fda": > install.packages('fda') > help(package='fda', help_type='text') Error in formatDL(nm, txt, indent = max(nchar(nm, "w")) + 3) : incorrect values of 'indent' and 'width' I have this wrapped inside "try" in

This error can arise when getOption("width") is too small. 80 seems to be the limit for me with R-3.3.2 on Windows. Bill Dunlap TIBCO Software wdunlap tibco.com On Wed, Mar 8, 2017 at 10:28 PM, Spencer Graves <spencer.graves at prodsyse.com> wrote: > Hello: > > > I tried "debug(help)" with the problem mentioned below. It stopped > with a call to

Hi, I am casting a dataframe from long to wide format. The same codes that works for a smaller dataframe would take a long time (more than two hours and still running) for a longer dataframe of 2495227 rows and ten different predictors. How to make it more efficient ? wer <- data.frame(Name=c(1:5, 4:5), Type=c(letters[1:5], letters[4:5]), Predictor=c("A", "A",

Dear R-devel, I grabbed 1.7.0 beta from today. "make check" still fails at base-Ex.R. The last few lines of the output are: > lsf.str()#- how do the functions look like which I am using? Error in exists(nam <- nms[i], envir = envir, mode = mode) : F used instead of FALSE Execution halted Looks like the same problem as before, but at a different place. Mandrake Linux

Does anyone have code that will methodically process R sourcecode, turning T's into TRUE and F's into FALSE? I got bored doing this by hand, after the first 30-odd functions-- there are hundreds left to do. I don't want to simply deparse everything, because that would destroy my beautiful formatting. The reason it's not trivial, is that comment lines, quotes, and split lines need