similar to: Importing S-Plus data sets into R

If the "Matrix" package is attached, 'example(dget)' fails: > library(Matrix) > example(dget) dget> fil <- tempfile() dget> ## Write an ASCII version of function mean to our temp file dget> dput(mean, fil) dget> ## And read it back into 'bar' dget> bar <- dget(fil) Error in initialize(value, ...) : '...' used in

Hello, I've noticed that dget() is much slower in the current and devel R versions than in previous versions. In 2.15 reading a 10000-row data.frame takes less than half a second: > (which.r <- R.Version()$version.string) [1] "R version 2.15.2 (2012-10-26)" > x <- data.frame(matrix(sample(letters, 100000, replace = TRUE), ncol = 10)) > dput(x, which.r) >

Dear r-help, Having used S-Plus for many years, it has been suggested to me that I could benefit from learning R. A question to this end, though. Would all of my existing S-Plus arrays, functions, and so on have to be re-created from scratch in R, or is there a way to copy them into the .Rdata directory? The answer to this question has major implications for the extent to which R is

For reasons that are best known to myself [ ;-) ] I have a value of .Random.seed saved (via dput()) in a file ``.Random.seed.save''. In my .Rprofile I have the lines: .Random.seed <- dget(".Random.seed.save") Junk <- dget(".Random.seed.save") print(all.equal(.Random.seed,dget(".Random.seed.save")))

Hello! I would like to be able to read in list data objects in R/S created in R/S. (Ie R->S or S->R.) I have tried 'dput' and 'dump' in S, but neither of the created files could be read into R (with 'dget' nor 'source'). Is there any way that I can save a list object in S that can be read into R? Sincerely, Zachary Skrivanek, PhD Research Scientist

I am seeking advice about dput() and dget(). We are using the ascii format supported by these functions as a way to write data from other programs that can be read into R easily. We are able to save complicated results (in the form of an R list) to a single file that can be read trivially into R or S-Plus. My question is whether that format can be considered a safe one for medium-term (say

I would like to write data so that I can re-read it and reproduce results, preferably in both R and Splus. In the past when I have done this my data has been relatively simple and I've just scan()ed it. Now I have a fairly complicated structure I would like to preserve and I've been trying to use dput and dget. Is there a better way? If not, the following truncation by dput, which I

Full_Name: David States Version: 2.6.0 OS: Windows XP64 Submission from: (NULL) (141.211.38.9) # The pair of commands # # dput(object, "file.dput") # object = dget("file.dput") # # should be a no op, but this is not working correctly for all objects. # # Simple example: # # make a simple object of class "hclust" cl = hclust(dist(matrix(nrow=4,ncol=4, c(1:16)))) #

Hi there, I tried to export the names of country to a csv file with write.csv(). In the resulted file, ?land was coverted to <c5>land. Is there any way could prevent this happening? Thanks! > abc [1] "?land" > write.table(abc, file = "") "x" "1" "<c5>land" Best, Jinsong

Hi there, Why the same string is displayed in different form? > abc[,1] [1] "?land" "Afghanistan" > abc name 1 <c5>land 2 Afghanistan And more... > dput(abc, "aa.txt") > dget("aa.txt") name 1 <c5>land 2 Afghanistan > dget("aa.txt")[,1] [1] "<c5>land"

Dear R helpers: I have tried many times to find some way to read a list into R. But I faid. Here is an example: I have a file 'List.txt' which includes data as follows: [[1]] [1] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.0 [19] 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 [[2]] [1] 0.0000000 0.5000000 0.0000000 0.0000000

This doesn't seem right; I'm using R version 2.4.1 (2006-12-18) on Mac OS and Win XP and find the same issue: > mydataframe <- data.frame(ppi=c(.5,.5),mmu=c(5,10)) > dput(mydataframe,"mydataframe.txt") > dget("mydataframe.txt") Error in attributes(.Data) <- c(attributes(.Data), attrib) : row names must be 'character' or 'integer', not

I've noticed a change in the way grep() behaves between the 1.9.0 release and a recent R-patched. On 1.9.0 I get the following output: > x <- dget(file = url("http://www.biostat.jhsph.edu/~rpeng/names.R")) > length(grep("^l\\w+tmean", x, perl = TRUE, value = TRUE)) [1] 84 And on R-patched (2004-06-11) I get > x <- dget(file =

Hi, How to save an R object for example a matrix or vector and not all objects created in a session (which is usually performed by save.image or q("yes"))? Best, Carol [[alternative HTML version deleted]]

Hi all, I?m new to R, and I?m having a small but annoying problem with the choose.files command, using version 2.8.1 in Windows XP. I am holding my data text files in C:\\Data\\, and I?m writing a short script that first resets the default directory to this directory, then allows me to interactively select which text file to import and attach, using the Windows widget. Here is my script:

Full_Name: Daniel F Higgins Version: 2.4.0 OS: Windows XP and Mac OSX Submission from: (NULL) (128.111.242.49) Create a dataframe as indicated below and apply 'dput' to it; note that the row.names attribute is incorrect! > aaa <- c("AAA","BBB","AAA") > bbb <- c(1,2,3) > df <- data.frame(aaa,bbb) > dput(df) structure(list(aaa =

Hello- I understand that log-likelihoods are bound to differ by constants, but if i estimate AIC for a set of simple nested linear models using the following 4 methods, shouldn't at least two of them produce the same ordering of models? in R: extractAIC AIC in S-PLUS: AIC n*log(deviance(mymodel)/n) + 2*p I find it troubling that these methods all give me different answers as to the best

It looks like an encoding problem. It works fine for me with R encoding set to UTF-8 Here is part of my sessionInfo() results [1] LC_CTYPE=en_CA.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_CA.UTF-8 LC_COLLATE=en_CA.UTF-8 [5] LC_MONETARY=en_CA.UTF-8 LC_MESSAGES=en_CA.UTF-8 I would suggest issuing the command sessionInfo() and seeing what your encoding is. On Tue, 20 Oct 2020 at 08:22,

Hi, I'm trying to write a series of pipes using littler, and I get the following behaviour: Sorry if I'm just doing something witless, I'm new to R. I'm using the latest versions from debian testing (2.4.0 and 0.0.8). $ r -e 'a<-dget(file=stdin()); print(a)' ?list(a=2) Segmentation fault In R itself this works: > dget(file=stdin()) ?list(a=2) $a [1] 2 As do (from

library(mva) data(USArrests) hc <- hclust(dist(USArrests), "ave") plot(hc) # OK dump(c("hc"), "tst") rm(hc) source("tst") plot(hc) # Error in plot.hclust(hc) : invalid dendrogram input The same problem occurs with dput/dget --please do not edit the information below-- Version: platform =