similar to: import from stata

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I am trying to install R on a SLED 10.1 machine. R-base-2.7.0-7.1-i586.rpm fails with stas at linux-6b8s:~/RPMs> rpm -Uvh R-base-2.7.0-7.1.i586.rpm warning: R-base-2.7.0-7.1.i586.rpm: Header V3 DSA signature: NOKEY, key ID 14ec5930 error: Failed dependencies: libgfortran.so.1 is needed by R-base-2.7.0-7.1.i586 I tried to trick it into believing there's the library by setting up

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 <-

Hello: I am working with a stratified survey dataset with sampling weights and I want to use multiple imputation to help with missingness. 1. Is there a way to run an ordered logistic regression using both a multiply imputed dataset (i.e. from mice) and adjust for the survey characteristics using the weight variable? The Zelig package is able to do binary logistic regressions for survey

what does R have to compare with , say , proc surveymeans, estimate survey means/proportions with standard errors, using Taylor methods? [[alternative HTML version deleted]]

Dear there, I am working on the NHANES survey data, and want to apply quantile regression on these complex survey data. Does anyone know how to do this? Thank you in advance, Yiling Cheng Yiling J. Cheng MD, PhD Epidemiologist CoCHP, Division of Diabetes Translation Centers for Disease Control and Prevention 4770 Buford Highway, N.E. Mailstop K-10 Atlanta, GA 30341 [[alternative HTML

Dear R-Users, Is anyone aware of a significance test which allows demonstrating that one distribution dominates another? Let F(t) and G(t) be two distribution functions, the alternative hypothesis would be something like: F(t) >= G(t), for all t null hypothesis: F(t) < G(t), for some t. Best wishes, Matthias PS. This one would be ok, as well: F(t) > G(t), for all t null

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

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

Hi, I am new to R and I want to export data into Stata. Could somebody help with that? Thanks a lot. This is the code I am using: > setwd("D:/datasets/Seg-bcn/ESBD") > data1 <- readRDS("r17045_ESDB_Habitatges_BDD_V_1_0.rds") > library(foreign) > write.dta(data="data1", file = "D:/datasets/data1.dta") Error in write.dta(data =

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

I''m using the mongrel_cluster recipes for Capistrano as laid out by codahale.com and the new ed. of the Agile Development book, but I''m having problems on restart and stop: I can start: [root current]# mongrel_rails cluster::start Starting 3 Mongrel servers... And I can see 3 processes running: [root current]# ps aux | grep mongrel mongrel 1947 0.0 8.2 24684 10776 ?

Dear R-help list, I'm new to R. I tried to get R to read a Stata data file using the read.dta function in the package "foreign", which I downloaded and extracted to "C:\Program Files\R\R-2.6.2\library" on my pc. I tried > nora <- read.dta("nora.dta") and got Error: could not find function "read.dta" I guess "foreign" needs to

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

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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

Dear Sirs, I am just starting with R and I think it is a great system. Now, I want to import Stata datasets (.dta) with read.dta, but receive errormessages like: Error in grep("^(http|ftp|https)://", file) : object "Rklein" not found Error in read.dta("Rklein") : unable to open file: 'No such file or directory' this happens when I use "" What is

Is it possible to fit a structural equation model with link functions in R? I am trying to build a logistic-regression-like model in sem, because incorporating the dichotomous variables linearly seems inappropriate. Mplus can do something similar by specifying a 'link' parameter, but I would like to be able to do it in R, ofcourse. I have explored the 'sem' package from John Fox,

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

I'm trying to learn how to calibrate/postStratify/rake survey data in preparation for a large survey effort we're about to embark upon. As a working example, I have results from a small survey of ~650 respondents, ~90 response fields each. I'm trying to learn how to (properly?) apply the aforementioned functions. My data are from a bus on board survey. The expansion in the