similar to: Conditional importFrom (roxygen?)

On 04/10/2015 10:10 AM, Jonathan Greenberg wrote: > Folks: > > I am getting a build failure when I: > #' @importFrom utils shortPathName > > which roxygenizes it to the NAMESPACE. > > I suspect this is because this particular function is Windows-only, but I'm > a bit confused how I should "properly" importFrom a function like this so > it

Duncan Murdoch <murdoch.duncan <at> gmail.com> writes: > > On 04/10/2015 10:10 AM, Jonathan Greenberg wrote: > > Folks: > > [snip snip snip] > > > > Is there a way to do a conditional importFrom based on the OS? Or can I > > safely ignore this (I'm trying to submit to CRAN). > > > > Yes, you can put conditionals into the

On 04/10/2015 7:34 PM, Ben Bolker wrote: > Duncan Murdoch <murdoch.duncan <at> gmail.com> writes: > >> >> On 04/10/2015 10:10 AM, Jonathan Greenberg wrote: >>> Folks: >>> > > [snip snip snip] > >>> >>> Is there a way to do a conditional importFrom based on the OS? Or can I >>> safely ignore this (I'm trying

Hi, using too long pathnames for bitmap() crash R on WinXP. I've verified that this is the case with R version 2.4.1 Patched (2007-03-25 r40958) and R version 2.5.0 alpha (2007-03-30 r40957). I cannot reproduce it on Linux. REPRODUCIBLE EXAMPLE: % Rterm --vanilla # Tell R where Ghostscript is gsexe <- "C:/gs/gs8.54/bin/gswin32c.exe"; gsexe <- "C:/Program

Dear R users, Inspired by previous list discussion of the glob2rxc function, I am attempting to create a new vector called TOTAL by summing all vectors whose names begin with ABC: TOTAL = sum(list = ls(pattern = glob2rx("ABC*"))) I'm running R 2.2.1 on Windows XP. Can anyone say what I'm missing? Thank you, Mark

I have a fairly large data set with six variables set up like the following dummy: # Create fake data df <- data.frame(code = c(rep(1001, 8), rep(1002, 8)), year = rep(c(rep(2011, 4), rep(2012, 4)), 2), fund = rep(c("10E", "10E", "10E", "27E"), 4), func = rep(c("110000",

Care to explain how i can use a wildcard expression to "source" all files ending with .R in a subdirectory ? I've tried something like this 'source(glob2rx("*.R"))' without success. Thank you -- View this message in context: http://www.nabble.com/Wildcards-tf4627981.html#a13214214 Sent from the R help mailing list archive at Nabble.com.

Hello, I have a stupid regexp question. I have a large data frame of strings. I would like to convert all occurences of : "W.m^{-2}" to "W/m2" I make the following test : gsub(glob2rx("W.m^{-2}"), "W/m2", "W.m^{-2}") but it does not seem to work. I don't know how to do it otherwise as I could never learn how to deal with the special

A bit embarrassed to post this seemingly trivial question, but I can't find anything in the archive that's quite relevant: a1=1 a2=2 obs=objects(pattern=glob2rx("a?")) I want to utilize 'obs' as a function argument to produce something like: sum(a1,a2) Obviously, sum(obs) doesn't work, but I've tried variations of 'eval', 'parse',

I want to change the type to factor of all variables in a data frame whose names match a certain pattern. So here I am trying to change the type to factor of all variables whose name begins with?namestub?in the dataframe?df. attach(df)sapply(grep(glob2rx("namestub*"),names(df)),as.factor) But this doesn't work since >levels(df$namestub1)NULL

Thanks to all. Very helpful. Steven from iPhone > On Jan 14, 2023, at 3:08 PM, Andrew Simmons <akwsimmo at gmail.com> wrote: > > ?You'll want to use grep() or grepl(). By default, grep() uses extended > regular expressions to find matches, but you can also use perl regular > expressions and globbing (after converting to a regular expression). > For example: >

You'll want to use grep() or grepl(). By default, grep() uses extended regular expressions to find matches, but you can also use perl regular expressions and globbing (after converting to a regular expression). For example: grepl("^yr", colnames(mydata)) will tell you which 'colnames' start with "yr". If you'd rather you use globbing:

Dear users, I would like to process all the lists from all *.rda files that I have in one folder. Up to now, I can load all the *.rda files without any problem. The problem is when I want to access the list saved within each *.rda file (only one list per rda file). Here is my code: fpath <- "D:/R" listnames <- list.files(path=fpath, pattern=glob2rx("*.rda"),

Hi, On Windows, with last R-devel tarball (r40647) from ftp://ftp.stat.math.ethz.ch/Software/R/R-devel_2007-02-04.tar.gz I get the following build error: E:\biocbld\bbs-2.0-bioc\R\src\gnuwin32> make ... ... ---------- Making package utils ------------ adding build stamp to DESCRIPTION installing NAMESPACE file and metadata installing R files Error in namespaceExport(ns, exports) :

I am trying to return an index for a data set by searching using filenames. The name may be ANG_AUT.N.0734C70411A-1_1sA_0734C70411A.fasta, but i'd just like to search it using the term "0734C70411" as the file may be 0734C70411A or 0734C70411C or 0734C70411D Any way to do this other than doing something like this. where 0734C70411A is part of matrix list[,8]

Dear all, For example I want to process set of files. Typically Perl's idiom would be: __BEGIN__ @files = glob("/mydir/*.txt"); foreach my $file (@files) { # process the file } __END__ What's the R's way to do that? - Gundala Viswanath Jakarta - Indonesia

Hi Experts, This might be silly question that I am asking, but no way as I am new to R. I want to list the files in a directory using regular expression like A_B*_C*.csv etc. How to make this possible in R ? I tried like this list.files(dir=".", pattern="A_B*_C*.csv") but this gives no output, whereas list.files(.... pattern="*.csv") giving all the .csv files in

Steven, Just want to add a few things to what people wrote. In base R, the methods mentioned will let you make a copy of your original DF that is missing the items you are selecting that match your pattern. That is fine. For some purposes, you want to keep the original data.frame and remove a column within it. You can do that in several ways but the simplest is something where you sat the

Dear R-SIG-Debian Team, r-devel sent me to you. Situation: Ubuntu 16.04, R-3.3.1, and a file in a folder mounted with sftp via gnome virtual file system. for(i in 1:10){cat(i,file = "/run/user/1001/gvfs/sftp:host=server/path on server/test2",append = TRUE)} gives a file that reads |10| and not |12345678910| Further checking: * A mapped network drive on Windows 7 and

x["V2"] is more efficient than using drop=FALSE, and perfectly normal syntax (data frames are lists of columns). I would ignore the naysayers, or put a comment in if you want to accelerate their uptake. As I understand it, one of the main reasons tibbles exist is because of drop=TRUE. List-slice (single-dimension) indexing works equally well with both standard and tibble types of data