search for: saveobjects

Dear R-users, I need to load outputs from multiple previous calculations into one R session for comparison and (cross-)analysis. The previous calculations are stored in different directories in .Rdata files (I don't know if this is the best storage for later usage, but the previous project could be recalculated and saved into different format, if needed, potentially.) I can load consequently

If save() fails because an object is not found, it should not overwrite an existing file. > a <- 1:9 > save(a, file = "a.rda") > rm(a) > load("a.rda") > a [1] 1 2 3 4 5 6 7 8 9 > rm(a) > save(a, file = "a.rda") Error in save(a, file = "a.rda") : object 'a' not found > load("a.rda") Error in

Hi, I have been using ffsave.image() to save mixture of ff and normal objects in my workspace. e.g. ffsave.image(file = "C:\output\saveobjects", rootpath = "D:\fftempdir", safe = TRUE) It works fine but once my workspace has large (~4GB) objects, I get the error: Error in ffsave.image(file = "C:\output\savedobjects", rootpath = "D:\fftempdir", safe = TRUE) : ff image could not be renamed and is left in...

Dear mailing list members, A member found a problem of lines of codes in my last e-mail. I submit the correction to this mailing list as follows. In the final part of my last e-mail message, a csv file is created. But, I cannot open this file, so please ignore the following part. -------------------------------------------------------------------------------------------------- If you want to

Dear mailing list members, Sorry for the repeated posting, but I have to add two more things. 1) I changed the .Rdata into .rdata in the subject to avoid misunderstanding of readers. 2) To save data in csv file; > write.csv(WV6_Data_R, "input/ch2/WV6_Data_R_v_2016_01_01.csv") Best regards, Yohei Tanaka ===========the following is the copy of my last message=========== A member

Hi. I have a procedure that reads a directory, loops through a set of particular .RData files, loading each one, and feeding its object(s) into a function, as follows: cvListFiles<-list.files(fnDir); for(i in grep(paste("^",pfnStub,".*\\.RData$",sep=""),cvListFiles)){ load(paste(fnDir,cvListFiles[i],sep="/")); myFunction(rliObject); rm(rliObject); };

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi I am writing simulations in R, and quite regularly, I have to save lists and objects to HDD and load it later again. So I am wondering: why is there no function to write lists (and S3, S4 objects) onto HDD WITHOUT keeping the name? What I mean is: For data.frames I can use x <- data.frame(x = runif(10)) write.table(x, "x.txt) rm(x) y

I generate and save a dataset For example exampledata<-runif(10) library("R.utils"); saveObject(exampledata, file="exampledata_9810.RData"); exampledata_9810<- loadObject("exampledata_9810.RData"); I use ex function to make alot of calculations using sink to export results (in this simply example only summary of dataset) ex<-function(data){

Dear mailing list members, Thank you for all members who gave me advice. This question is solved. I tried to create an object using the load function by analogy based on the read.csv function like this; > d <- load("~/docdis/input/ch2/WV6_Data_R_v_2016_01_01.rdata") but, load function cannot be used in this way. Correct ways are; >

Dear R users, I am analysing a very large data set and I need to perform several data manipulations. The dataset is so big that the only way I can play with it without having memory problems (E.g. "cannot allocate vectors of size...") is to write a batch script to: 1. cut the data into pieces 2. save the pieces in seperate .RData files 3. Remove everything from the environment 4. load