similar to: functions different in R and S

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

Hello all - I've just recently been exploring R for the first time. After noticing a few things that have changed from S to R, I started looking for an R-S compatibility table but didn't find it. Is such a table out there ? Where ? Thanks much, Purvis Bedenbaugh purvis at mbi.ufl.edu Examples: 'stdev' is now 'sd' - is it exactly the same computation ? couldn't find

Hello everyone, I was wondering if anyone knows how to convert the Splus mapproject( ) function for use in R, I would greatly appreciate your help. I am using the following system, R Version 1.6.1 (2002-11-01) for SunOS 5.5 and Splus Version 5.1 Release 1 for Sun SPARC, SunOS 5.5. Thanks, Helen

Hi all, I am a beginner trying to use R to work with large amounts of oceanographic data, and I find that computations can be VERY slow. In particular, computational speed seems to depend strongly on the number and size of the objects that are loaded (when R starts up). The same computations are significantly faster when all but the essential objects are removed. I am running R on a machine

Hi all, I have Splus and R both on my unix machine. I intend to keep only one of them. R looks to be a better choice. But I want to confirm. Is there any function or group of functions in Splus that are absent in R? Thanks, Saket. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

I need to calculate a large number of t statistics, and would like to do so via matrix operations. So far I have figured out a way to calculate the mean of each row of the matrix: d <- matrix(runif(100000,1,10), 1000, 10) # some test data s <- rep(1,ncol(d)) # a sum vector to use for matrix multiplication means <- (d%*%s)/ncol(d) This is at least 1 order of magnitude faster than

Is it possible to compute the variance of every column in a matrix without a loop? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch

Hi people, If there is a fn "colMeans" why isn't there a "colSDs" etc Thanks, Phil. -- Philip Rhoades Pricom Pty Limited (ACN 003 252 275) GPO Box 3411 Sydney NSW 2001 Australia Mobile: +61:0411-185-652 Fax: +61:2:8923-5363 E-mail: pri at chu.com.au -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Hi together, I have some data in a matrix structure - say 1000 rows with 10 columns. And I like to do some calculations (like max, avg or min) on row level. The only solution I found so fare was using a loop like for (i in 1:1000) { max[i] <- max(matrix[I,]) } It looks like that this is not very fast. Does an other way exists? Kind regards Ulrich

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:

R Users: How can I catch R errors and depend on this error call other R functions in Perl? The foolowing is the error message when I use perl call R. Error in nls(modout ~ exp(-b1 * modin)/(b2 + b3 * modin), trace = F, start = c(b1 = 0.005, : singular gradient Segmentation fault Thanks, Zhongming

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, I have what I think is an easy question. I have a data frame, called stockdata, of stock prices that looks like this: date ticker close 1 01/02/1998 GE 24.667 2 01/05/1998 GE 25.104 3 01/06/1998 GE 24.771 4 01/07/1998 GE 24.979 5 01/08/1998 GE 24.750 6 01/02/1998 HIT 71.125 7 01/05/1998 HIT 72.313

Mark Leeds <mleeds at mlp.com> wrote (to S-News): > does anyone know the R equivalent of the SPlus rowVars function ? Andy Liaw <andy_liaw at merck.com> replied: > More seriously, I seem to recall David Brahms at one time had created an R > package with these dimensional summary statistics, using C code. (And I > pointed him to the `two-pass' algorithm for variance.)

Hi, here im unable to run a string handle function called unpaste(). for eg:- a<- "12345_mydata" Actually my requirement what is i need to get , only 12345. Means that , i need the all letter as a word which is before of first " _ " - symbol of "a". i tried to do with unpaste, it says function not found. After that i tried with "strsplit() ". it

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

Hello, Easy ways to "unpaste"? xp <- paste(x2, x3) # x2, x3 are two non-numeric columns. ............. ......................... xfg <- data.frame(xp,sc1, sc2, sc3) # sc1,sc2, sc3 are numeric cols. I want xp to be split up to form a new dataframe of the form (x3, sc1, sc2, sc3). IMPORTANT info : elements of xp have the form abc<space>efg, with abc in x2 and efg in

Hi, Another newbie question; I only just now downloaded and tried the R software. My big initial objection is the way R stores the entire working database in one file between sessions. In S, I have always stored many large parallel objects in a database (e.g. stock-by-date matrices of close, high, low, volume, ...), knowing that S would only read the one or two files I wanted to work with at

Hi, I asked this question 2 years ago, and would like to know if the answer has changed. In S-Plus, I build databases of many large objects. In any given analysis, I only need a few of those objects, but attach'ing the whole database is fine since objects are only read as needed. How can I do the same thing in R, without reading the entire database? One possibility is to treat