similar to: Stata file and R Interaction :File Size Problem in Import

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

Hi I have a stata data set (.dta file) of size 600 MB, I need to import it in R and do a 2SLS multilevel analysis on the data set. I would eb grateful if help is provided for the first part of how to import this big file from Stata to R and then how to open the imported Stata file in R? Kindly help Thanks in advance -- Dr.Saurav Pathak PhD, Univ.of.Florida Mechanical Engineering Doctoral

I am typing the following on the command prompt: >variab = read.csv(file.choose(), header=T) >variab It lists 900,000 ( this is the total number of observations in "variab" ) minus 797124 observations and prompts the following message [ reached getOption("max.print") -- omitted 797124 entries ]] Is there a way to see the entire set of data, ie all of 900,000 obs, and

I have so far used the following command glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc + imf_pop + estbbo_m, family = binomial(link = "probit")) My question is 1. How do i discard the non significant selection variables (one out of the seven variables above is non-significant) and calculate the Inverse Mills Ratio of the significant variables 2. I need the inverse

Hello all I have been working to fix this for weeks now, It should be simple to fix. Please help Let me explain what I am doing, I have a data set for 65 countries over a period of 9 years (2000-2008). Each country has on an average say 2000 interviews, so that the total set has roughly 65*9*2000 data points/observations (of course there are missing vales as well). Now let me explain how are the

Hi I am working on a panel data, my data are clustered/grouped by the variable "yearctry", I am running the regression below, but I cant make the regression recognise "yearctry" as the panel variable in the regression myProbit<- glm(s ~ age + gender + gemedu + gemhinc + es_gdppc + imf_pop + estbbo_m, family = binomial(link = "probit"), data = adpopdata) Can

Hello I am working on a panel data, my panel variable is the variable "yearctry", let me explain what I mean, yearctry is calculated based on the year and the ISD phone code of a country, eg, for the year 2000 say and for country USA say (code = 001), my yearctry variable will then be 2000001, there are 2000 observations (ie 2000 individual responses with yearctry = 2000001), I have 65

Dear R users I have two questions, I have been on this problem for last 3 months, please help First question: *How can I use the lmer function for a three level probit ( ie please help me with the command syntax)?* The second question is, *how can I then subsequently calculate the Inverse Mills ratio after the above probit is calculated using lmer?* Is there any other way (if lmer does not do

Dear R users My data set is e > names(e) [1] "yearctry" "discent" "age" "gender" "gemeduc" "gemhhinc" "ref_group" "fearfail_ref" "knowent_ref" "nbgoodc_ref" [11] "nbstatus_ref" "estbbuso_ref" "lngdp" "lngdpsq"

Dear R users I have a data set which has five variables. One depenedent variable y, and 4 Independent variables (education-level, householdincome, countrygdp and countrygdpsquare). The first two are data corresponding to the individual and the next two coorespond to the country to which the individual belongs to. My data set does not make this distinction between individual level and country

Dear R saviors, kindly address to this problem, I would really appreciate any takers. I am trying to resolve this issue of IMR in clustered (multilevel) cross-sectional panel data for more than two months now,. The characteristics of my dataset are as follows: - some 900 000 individuals - total of 60 countries - cross-sectional time series at the country level max 10 years, not all

Hi I have been trying so many different things to get my Inverse Mills Ratio going for a Two stage Heckman Model, I have tried the following so far (the commands are listed below till teh point where I get an error), I get an error in the last sentence (marked in bold below), if this were successful then I could have used the IMR as a control in my OLS (which would be the OLS for the outcome

Hi Saurav! On Sun, Jul 12, 2009 at 6:06 PM, Pathak, Saurav<s.pathak08 at imperial.ac.uk> wrote: > I am new to R, I have to do a 2 step Heckman model, my selection equation is > below which I was successful in running but I am unable to proceed further, > > > > I have so far used the following command > > glm(formula = s ~ age + gender + gemedu + gemhinc + es_gdppc +

I'm trying to read in a perfectly good Stata data file created using Stata 10 in Linux and saved in the version 8/9 format using "saveold". R fails to read in the file: aa<-read.dta("myfile.dta") Error in read.dta("myfile.dta"): a binary read error occurred If I resave the file in Stata using the "nolabels" option of saveold, I get: There were

foreign package does not support dataset saved at stata 13. anyone knows any wayt to make it works? [[alternative HTML version deleted]]

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

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 R-list, I am currently working on a dataset with a colleague who uses stata. We fit a random intercept model to the data (decisions clustered in participants) and get closely the same results in stata (using xtreg re) and R (using the lme4 or multilevel package). Now in stata, there is an additional option for the regression to control for clustering; the vce(cluster clustvar) option,

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