similar to: memory once again

Hi, I have a new job, and everyone here uses Stata. I won't give up on R, but I must learn better how to exchange data between the two softwares. I am now focusing on importing data from Stata to R, and I must confess that I am a bit disappointed with the read.dta function from the foreign package because IT typically happens that (i) I get a big R file (for example, a 15Mb Stata file

hello, for my present project i need to use the data stored in a ca. 100mb stata dataset. when i import the data in R using: library("foreign") x<-read.dta("mydata.dta") i find that R needs a startling 665mb of memory! (in stata i can simply allocate, say, 128mb of memory and go ahead) is there anyway around this, or should i forget R for analysis of datasets of

Hi, I wonder if someone has already figured out a way of making summary(mylm) # where mylm is an object of the class lm() to print the "(Intercept)" at the last line, rather than the first line of the output. I don't know about, say, biostatistics, but in economics the intercept is usually the least interesting of the parameters of a regression model. That's why, say, Stata

As you know, Stata support in 'foreign' was frozen a while back at Stata version 12. R-core has received a request from a grad student to 'give top priority' to supporting Stata 13. That is not going to happen, not least because none of us has access to Stata. However, according to Stata's documentation both Stata 12 and 13 use format 115, so foreign::read.dta should be

I have a client who uses Stata 11. Can anyone advise me on ways of transferring data from this version of Stata to R? Reading the documentation for read.dta in package foreign it seems it only allows for versions up to Stata 10. I don't know Stata at all but a bit of poking around on their website led me to believe Stata 11 couldn't write in Stata 10 format. However Stata 11 can

Hello, I need to write out a data matrix as a STATA 7 file and this happens perfectly with write.dta(), except I cannot seem to export the labelnames to Stata. So far I have tried the following: # X is the data matrix that is to be exported attributes(X)$var.labels <- c("apple", "banana", "cat") write(X, filename = "text.dta", version = 7) When i

I downloaded data from http://www.hcp.med.harvard.edu/ncs/ Which provides data in DTA (STATA), XPT (SAS), and POR (SPSS) formats all of which I have tried to read with the foreign package but I am not able to load any of them. I have 2 gb of RAM, but R crashes when the memory gets just over 1 GB. I am using Windows version 2.1.1. The size of the DTA file is 48 MB; the xpt file is 188

I'm trying to read in a Stata file but I've never used this function ( read.dta). It's the only one that seems to come close to working, but I keep getting this error: > data<-read.dta("C:/Documents and Settings/Chris/Desktop/S4412/catestscores.dta") Error in read.dta("C:/Documents and Settings/Chris/Desktop/S4412/catestscores.dta", : a binary read

Thanks in advance. I pass data sets between R and Stata and think dta files would be the best files for this. To do this I can use package foreign or package memisc. I mostly use foreign, although have used memisc and this problem mostly didn't happen, but created errors at other times. I have a csv data set (and created a test case) with with at least one column completely missing. This

Dear Everybody: I'm doing my usual "how does that work in R" thing with some Stata projects. I find a gross gap between the Stata and R in Cox PH models, and I hope you can give me some pointers about what goes wrong. I'm getting signals from R/Survival that the model just can't be estimated, but Stata spits out numbers just fine. I wonder if I should specify initial

Dear R-helpers, if I want to read a .dta-file generated by stata 9.0 with read.dta (foreign), I get the message "not a stata version 5-8 .dta-file". I'm using R-2.6.2 and the latest version of the foreign package. Has someone any hint? With many thanks, Albrecht

I'm an R novice who is struggling with the importation STATA files into R. I've loaded "foreign" and tried the example based on the Swiss file, which works fine. I then placed a STATA file, auto6.dta, in my working directory, which is "C:\Program Files\R\rw1030\library\base\data". The following is what happened: > library(foreign) > read.dta(auto6) Error in

Long ago (Sat, 2 Nov 2002), Bill Hart <w.hart at sbcglobal.net> wrote: > An R newbie here. I am using R 1.6 currently and have > (successfully, I think) installed the Foreign package. > Tried to import a data file created with Stata 7.0 > SE. Had minor problems with syntax then R decided > that my file was not really a Stata file. It rejected > the file saying

Dear All, I have been struggling to understand why for the housing data in MASS library R and stata give coef. estimates that are really different. I also tried to come up with many many examples myself (see below, of course I did not have the set.seed command included) and all of my `random' examples seem to give verry similar output. For the housing data, I have changed the data into numeric

Hi I am using Stata 10 and I need to import a data set in stata 10 to R, I have saved the dataset in lower versions of Stata as well by using saveold command in Stata. My RAM is 4gb and the stata file is 600MB, I am getting an error message which says : "Error: cannot allocate vector of size 3.4 Mb In addition: There were 50 or more warnings (use warnings() to see the first 50)" Thus

Ted Harding said: > I can get the estimated RRs from > RRs <- exp(summary(GLM)$coef[,1]) > but do not see how to implement confidence intervals based > on "robust error variances" using the output in GLM. Thanks for the link to the data. Here's my best guess. If you use the following approach, with the HC0 type of robust standard errors in the

Concerning this article, Christopher Zorn, "Generalized Estimating Equation Models for Correlated Data: A Review with Applications." 2001. American Journal of Political Science 45(April):470-90. The author very kindly provides data for replication on his web page: http://www.emory.edu/POLS/zorn/Data/GEE.zip. I've been comparing the Professor Zorn's results obtained with

On Thu, Mar 22, 2018 at 4:52 AM, Raja, Dr. Edwin Amalraj <amalraj.raja at abdn.ac.uk> wrote: > Hi , > > library(foreign) > write.dta(data1, "data1.dta") > > should work. I don't think so: > library(foreign) > example(svydesign) > write.dta(dstrat, "~/Downloads/foo.dta") Error in write.dta(dstrat, "~/Downloads/foo.dta") : The

Dear R-helpers, I would like to have my students read into R an online Stata dataset: 'http://www.stat.ucla.edu/projects/datasets/risk_project.dta' I was able to read it into R after downloading it and converting it with StatTransfer (http://www.stattransfer.com/). Here is what happens when I use read.dta() as I would use read.table(): > require(foreign) > risk2 <-

Hi , library(foreign) write.dta(data1, "data1.dta") should work. The file will be saved in the working directory. Use getwd() to know the working directory. Best wishes Amalraj Raja -----Original Message----- From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of rosario scandurra Sent: 22 March 2018 07:47 To: r-help at r-project.org Subject: [R] exporting data to stata