similar to: Reading and writing to S-like databases

Hi, all, I've been converting code from S-Plus ("S" for short) to R for a few weeks. Here are some differences I've found, aside from the big well-known ones (scoping, models, data storage) and the contents of Kurt Hornik's FAQ section 3.3.3. Let me start with the ones that seem like serious bugs or deficiencies: 1) LETTERS[c(NA,2)] in S is

Hi, all, I've been converting code from S-Plus ("S" for short) to R for a few weeks. Here are some differences I've found, aside from the big well-known ones (scoping, models, data storage) and the contents of Kurt Hornik's FAQ section 3.3.3. Let me start with the ones that seem like serious bugs or deficiencies: 1) LETTERS[c(NA,2)] in S is

The result of rowsum() in R doesn't have the dimnames I'd expect, e.g.: > rowsum(matrix(1:12, 3,4), c("Y","X","Y")) [,1] [,2] [,3] [,4] 1 2 5 8 11 2 4 10 16 22 whereas S-Plus gives the more useful result: [,1] [,2] [,3] [,4] X 2 5 8 11 Y 4 10 16 22 This is because R's rowsum() code gives the

Hi, The result of rowsum() in R doesn't have the dimnames I'd expect, e.g.: > rowsum(matrix(1:12, 3,4), c("Y","X","Y")) [,1] [,2] [,3] [,4] 1 2 5 8 11 2 4 10 16 22 whereas S-Plus gives the more useful result: [,1] [,2] [,3] [,4] X 2 5 8 11 Y 4 10 16 22 This is because R's rowsum() code gives

Environment variables set with Sys.putenv() disappear (i.e. become "") after a while, especially after heavy-duty I/O. Example: R> x <- matrix(1., 3000, 3000) R> save(x, file="myx.RData") R> Sys.putenv(HOME="/tmp") R> while (Sys.getenv("HOME") != "") {cat("ok\n"); load("myx.RData")} The loop prints

Hello, R-devel! I posted to R-help, and (inappropriately) to R-bugs, this R/S-Plus difference: > LETTERS[c(NA,2)] in S is c("","B"), but in R is c("NA","B") Kurt Hornik <Kurt.Hornik@ci.tuwien.ac.at> wrote: > I think we do not want to change this. ... > R> is.na(LETTERS[c(NA,2)]) [1] TRUE FALSE > so we really have NA but it is

The help page for library says that: package, help: name or character string giving the name of a package. Yet, I don't seem to be able to use a string variable here. > version _ platform sparc-sun-solaris2.6 arch sparc os solaris2.6 system sparc, solaris2.6 status major 1

Also in assign() there some arguments lacking in R such as 'frame' and 'where', though I guess that 'frame' in S may be similar to 'pos' in R. Harvey -----Original Message----- From: David Brahm [SMTP:a215020@agate.fmr.com] Sent: Wednesday, October 03, 2001 11:36 AM To: r-help@stat.math.ethz.ch Cc: Kurt.Hornik@ci.tuwien.ac.at; r-bugs@r-project.org Subject:

Hi, I understand work is being done to improve read.table(), especially by Prof. Brian D. Ripley. I offer below a version that I wrote, in the hope some aspects of it may prove useful or at least inspire discussion. Be aware that my version differs in a couple fundamental ways that reflect my aversion to dataframes and factors. So it returns a list of vectors which are all character,

An NA in the rownames of a matrix (or dataframe) causes misalignment when the matrix is printed: R> x <- matrix(1:12, 3,4, dimnames=list(letters[1:3], LETTERS[1:4])) R> rownames(x)[2] <- NA R> x A B C D a 1 4 7 10 <NA> 2 5 8 11 c 3 6 9 12 The bug is in function Rstrlen, in src/main/printutils.c. MatrixRowLabel and MatrixColumnLabel (same file) rely on Rstrlen

I am new on R, so I have a maybe naive question: if I have many large data.frames and I use only one or two per session, what's the best way? If all are stored in the actual .Rdata, the system gets slow. On the other hand, I wouldn't like to make a separate package for the data. Should I save it with save() and then remove it with rm() ? Could I reload it then? Thanks for suggestions

I'm comparing R-1.3.0 on Solaris 2.6 to R-1.3.1 on WindowsNT. The following 5-line script returns TRUE on Unix but FALSE on NT: fnam <- tempfile() file.create(fnam) txt <- paste("file.exists(\"", fnam, "\")", sep="") expr <- parse(text=txt) eval(expr) The issue seems to be that backslashes get lost in the parsing. A workaround is to change

Hi R users, I am still a relatively new R user migrated from S+. I wonder in R how do you handle one difference between R and S+. S+ saves objects as different files in .Data directory while R saves all objects in a big file .RData. In S+, I can start two S+ sessions from the same directory and work simultaneously as long as new objects in the two sessions are not in the same names. This is

There is a bug in all.equal.character: > all.equal.character(c("A", "B", "C"), c("A", "B", "C")) [1] TRUE > all.equal.character(c("A", "B", "C"), c("A", "B", NA)) Error in sum(out) : Object "out" not found > traceback() 3: sum(out) 2: paste("`is.NA' value

If the following two conditions are met: 1) all.x is TRUE 2) at least 1 row in y does not have a match in x then any character vectors in y will be coerced to be factors. Here is a simple example (previously provided on r-devel): > x <- data.frame(a = 1:4) > y <- data.frame(b = LETTERS[1:3]) > y$b <- as.character(y$b) > z <- merge(x, y, by = 0, all.x = TRUE) > z

The newest version of R for Unix (version 0.50 alpha-1) is now (or will soon be) available from the following sites. NORTH AMERICA: http://lib.stat.cmu.edu/R/Alpha EUROPE: ftp://ftp.stat.math.ethz.ch/R/ ftp://statlab.uni-heidelberg.de/pub/mirrors/auckland/R/ JAPAN: ftp://ftp.u-aizu.ac.jp/pub/lang/R/ NEW ZEALAND: ftp://stat.auckland.ac.nz/pub/R/

Hi, all, I've been converting code from S-Plus ("S" for short) to R for a few weeks. Here are some differences I've found, aside from the big well-known ones (scoping, models, data storage) and the contents of Kurt Hornik's FAQ section 3.3.3. Let me start with the ones that seem like serious bugs or deficiencies: 1) LETTERS[c(NA,2)] in S is

Hello List, i have been agonizing over this for days, any reply would be greatly appreciated! Situation:___________________________________ My original dataset is a .csv dataset (w/ 2M records) with 4 variables: job_id (Primary key, won't be used for analysis, just used for join tables), sector_id (categorical variable, for 19 industry sectors), sqft (con't variable for square

I'm using R 1.3.1 on a Windows NT 4.0 machine. As you might guess my machine crashes on me from time to time :-| So far, forcing a reboot via the Taskmanager has worked reasonably well: any open R session would enquire politely whether to save, and do so if requested. This time, it has not worked out. I get a 'Fatal Error: unable to restore saved data in .RData' message and R

I have a daily job that attaches hundreds of pseudo-packages containing data as promise objects (DDP's, ref: g.data package), and plots the results to a multi-page pdf device. Sometimes it fails. Under R-2.2.1 it just gave segfaults. Under R-2.3.1 it gave this error message: *** caught segfault *** address (nil), cause 'memory not mapped' Traceback: 1: