similar to: Loading .Rdata within an R function

Hi, I have tried to follow the instructions in the ``save`` documentation and it doesn't seem to work (see below): mydata <- do.call(rbind, rep(iris, 10000)) con <- pipe("pigz -p8 > fname.gz", "wb"); save(mydata, file = con); close(con) # This runs R.utils::gunzip("fname.gz", "fname.RData", overwrite = TRUE) load("fname.RData") #

First, I compliment you all for such a useful project as R. Suggestion: If read.table() could take input from a character string, then one could write raw= " x y z 1 2 3 4 5 6 " df = read.table(raw,head=TRUE) Of course, one can cat() to write raw into a temporary file, and read.table() from that file. However, direct reading might be a good option? Hope this is

Greetings, The aov() function may mislabel the random effects as in the example below: Has anybody else noticed this? Cordially, Giles Crane, MPH, ASA, NJPHA gilescrane at verizon.net > m2 Call: aov(formula = y ~ ap + pe + Error(ju), data = d) Grand Mean: 77.50667 Stratum 1: ju Terms: ap Sum of Squares 4322.538 Deg. of Freedom 12 13 out of 25 effects not

Welcome to the forum .Rdata may contain many different objects. I would suggest doing a? "ls()" to see what objects you have. then have a look at ?write.table or ?write.csvThese commands will write many types of objects to a .csv file. For example if I have a data.frame called "dat1" I can write it to a csv (text) file like this: write.csv(dat1, "~/Rjunk/mydata.csv")

Dear Developers, I've been struggling through writing R extension in C. I've been using an external pointer to store my data (please see sample below). I encountered a very weird erroneous behaviour: when I tried to use my external pointer to a structure holding several types of data, including SEXPs, I discovered that SEXPs change their types between returning from initialization

Dear mailing list members, I am a beginner of this community. I would like to analyze data in a .rdata file. I ran the following code, but the object "d" remained empty. d <- load("~/docdis/input/ch2/WV6_Data_R_v_2016_01_01.rdata") I would like to know how to convert this file format into .csv or .txt. I suppose this question is very basic, but I could not find solutions

I am the proud owner of a new laptop since my old one died the other day. Currently I have a dual-boot Windows 7 Home and Ubuntu 12.04 . I'll leave the Windows problems for another post. I know practically nothing about Linux so I am probably doing something stupid but ... at the moment I cannot seem read or write files in Ubuntu. I am not having any problem saving other documents to the

Hello - I would like to create a wrapper to the 'save' function in the base package, but have a small problem with the name of the object that is getting saved in the file. Below is a simple example illustrating my problem. ## BEGIN SAMPLE R CODE ################################################## ## Here is the wrapper for the save function

Hi R CMD check is giving me the following error * checking package subdirectories ... WARNING Subdirectory 'data' contains no data sets. This is not true. That subdirectory contains the file myData.Rdata (I have tried .rda format too, same result). There is also a myData.Rd in the man subdirectory. If I remove the .Rd and the data directory R CMD check executes normally. I am using

I've just had an interesting thing happen to one of our students. He's using R 1.9.1 on Linux, and so I dont expect bugfixes, I'm just reporting this out of interest in case anyone else has had this happen. Starting R caused a seg fault shortly after "[Previously saved workspace restored]". Running "R --no-restore-data" worked fine so I suspected a corrupted

I've just had an interesting thing happen to one of our students. He's using R 1.9.1 on Linux, and so I dont expect bugfixes, I'm just reporting this out of interest in case anyone else has had this happen. Starting R caused a seg fault shortly after "[Previously saved workspace restored]". Running "R --no-restore-data" worked fine so I suspected a corrupted

Dear all, I don't understand the following behaviour: Running compar.gee (in library ape ) with and without the option 'data', it give me different results Example: .... Start R .... > load("eiber.RData") > ls() [1] "gee.na" "mydata" "mytree" > library(ape) > # runnig with the option data= mydata > compar.gee(alt ~ R,

In the particular application I have I save "test.Rdata" to a sub directory dir<-"Example" dir.create(dir) test<-data.frame(a=c(1,2,3),b=c(3,4,5) full<-file.path(dir,"test.Rdata,fsep=.Platform$file.sep) save(test,file=full) load(full) returns NULL it works fine when the object is saved to the working directory, but fails when saved to a sub directory. The Rdata

Dear list, when iterating over a set of Rdata files that are loaded, analyzed and then removed from memory again, I experience a *significant* increase in an R process' memory consumption (killing the process eventually). It just seems like removing the object via |rm()| and firing |gc()| do not have any effect, so the memory consumption of each loaded R object cumulates until

Full_Name: Giles L Crane Version: 2.8.0 2008-10-20 OS: Windows XP Submission from: (NULL) (71.168.215.186) paste(rep(" ",10),sep="") [1] " " " " " " " " " " " " " " " " " " " " As I read the documentation for paste(), this should have produced " " that is,

Dear all, I'm having troubles migrating a large matrix from one system to another. #system 1: Ubuntu 12.04, 64-bit, running R 2.15.2 # do some simulations # save the simulations > save(Output, file = "Simulations.Rdata") #Output is a numeric matrix with 6 columns and about 2M rows. Use ftp to transfer the Simulations.Rdata file to system 2 #system2: Windows XP, 32-bit running

Hi, all. I'm running R on a beowulf system, with software that can take a list of single-processor jobs and parcel them out over the system. (In case it's of interest, they're dual pentium 866 machines connected by fast ethernet.) The administrators of the system found that I was causing a huge load on the file server, and when they investigated it turned out that each process was

Dear All, Can you please suggest me a correct way to load the following R data frame from the internet and save it to the hard drive? The following is what I tried: > raceprofiling <- > read.table("http://rss.acs.unt.edu/Rdoc/library/twang/data/raceprofiling.RData") > save(raceprofiling, file = 'raceprofiling.RData') However, when I used dim() to check the dataset,

Greetings. How can I insert gridlines in the following density plot call? Must one compose a panel function? 'data.frame': 46 obs. of 2 variables: $ fallrates: num 5.2 7.1 7.1 9.8 3.7 7.5 5 6.2 1.5 2.9 ... $ prepost : Factor w/ 2 levels "post","pre": 2 2 2 2 2 2 2 2 2 2 ... library(lattice) densityplot(~fallrates, groups = prepost,

Saving Rdata files in a zip archive form can in some cases save a considerable amount of disk space. R has the zip.file.extract function to extract files from zip archives, but appears not to have any corresponding function to save in zipped form. (At least I have not been able to find anything in the help files or through searching the mail archives.) The system function can be used to call gzip