search for: glob2rx

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

...rtFrom a function like this so it doesn't cause a build failure, but I don't get a note in my R CMD CHECK if I DON'T have it: gdal_setInstallation : correctPath: no visible global function definition for 'shortPathName' gdalinfo: no visible global function definition for 'glob2rx' gdallocationinfo: no visible global function definition for 'write.table' gdaltransform: no visible global function definition for 'write.table' get_subdatasets: no visible global function definition for 'glob2rx' mosaic_rasters: no visible global function definition...

...d searches in each of three columns: "1?E" in fund, "1??????" in func, and "???" in obj. I'm OK turning these into regular expressions: # Set parameters par.fund <- "10E"; par.func <- "100000"; par.obj <- "000" par.fund <- glob2rx(gsub("0", "?", par.fund)) par.func <- glob2rx(gsub("0", "?", par.func)) par.obj <- glob2rx(gsub("0", "?", par.obj)) The problem occurs when I try to apply multiple greps across columns. I'd prefer to use data.table since it'...

...> it doesn't cause a build failure, but I don't get a note in my R CMD CHECK > if I DON'T have it: > > gdal_setInstallation : correctPath: no visible global function > definition for 'shortPathName' > gdalinfo: no visible global function definition for 'glob2rx' > gdallocationinfo: no visible global function definition for > 'write.table' > gdaltransform: no visible global function definition for 'write.table' > get_subdatasets: no visible global function definition for 'glob2rx' > mosaic_rasters: no visible gl...

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 characters (like .^{}) in regexps. Thanks from advance for your kindly help servet

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', 'mget', and 'noquote' without success. What am I missing? Thanks,...

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

...o 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: > > grepl(glob2rx("yr*"), colnames(mydata)) > > Then you might write something like this to remove the columns starting with yr: > > mydata <- mydata[, !grepl("^yr", colnames(mydata)), drop = FALSE] > >> On Sat, Jan 14, 2023 at 1:56 AM Steven T. Yen <styen at ntu.edu...

Hi, apologies if this is too simple but I've been stuck on the following for a while: I have a vector of strings: filenames with a name before the extension and a variety of possible extensions I want to select only those files with: 1) a ".tab" extension AND 2) the character sequence "lad" anywhere in the name of the file before the extension. Surely this

All, Is there are a wildcard in R for varible names as in unix? For example, rm(results*) to remove all variable or function names that begin w/ "results"? cheers, Dave ps - please respond directly to afshar@miami.edu [[alternative HTML version deleted]]

When I type ls("package:base", pattern="log*") functions with names like "floor" and "Sys.setlocale" are included. I don't think this is how "*" is supposed to work. To get the desired response I have to use: ls("packge:base", pattern="logg*") I thought "log*" means "log" followed by anything? Thanks

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

...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: grepl(glob2rx("yr*"), colnames(mydata)) Then you might write something like this to remove the columns starting with yr: mydata <- mydata[, !grepl("^yr", colnames(mydata)), drop = FALSE] On Sat, Jan 14, 2023 at 1:56 AM Steven T. Yen <styen at ntu.edu.tw> wrote: > > I have a...

...a 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"), full.names=FALSE) for (i in 1:length(listnames)) { load(paste(fpath, listnames[i], sep="/")) z <- list_in_listnames[i] ## here is my problem **do something on z** } It might be really simple, but listnames is a character vector and I cannot find how to...

....url, count.fields, data, data.entry, dataentry, de, de.ncols, de.restore, de.setup, debugger, d emo, download.file, download.packages, dump.frames, edit, emacs, example, file_test, file.edit, find, fix, fixInNamespace, flush.console, formatOL, formatUL, getAnywhere, getFromNamespace, getS3method, glob2rx, head, head.matrix, help, help.search, help.start, history, index.search, install.packages, i nstalled.packages, limitedLabels, loadhistory, localeToCharset, ls.str, lsf.str, make.packages.html, make.socket, memory.limit, memory.size, menu, methods, mirror2html, modifyList, new.packag In addition:...

...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: > > grepl(glob2rx("yr*"), colnames(mydata)) > > Then you might write something like this to remove the columns starting with yr: > > mydata <- mydata[, !grepl("^yr", colnames(mydata)), drop = FALSE] > >> On Sat, Jan 14, 2023 at 1:56 AM Steven T. Yen <styen at ntu.edu...

...ssions 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: >> >> grepl(glob2rx("yr*"), colnames(mydata)) >> >> Then you might write something like this to remove the columns starting >> with yr: >> >> mydata <- mydata[, !grepl("^yr", colnames(mydata)), drop = FALSE] >> >> On Sat, Jan 14, 2023 at 1:56 AM Steven T...