similar to: Function to modify existing data.frame

Thanks to everyone who replied to my question! A comment regarding Thomas's point below: Java & other object-oriented languages that are function rather than macro based usually provide methods & other capabilities that allow pass by reference in certain cases and these methods would solve the problem I posed regarding how to change values in an existing data.frame from within a

A newbie question: I'm trying to decide whether to run a maximum likelihood estimation in R or Stata and am wondering if the R mle routine is reasonably robust. I'm fairly certain that, with this data, in Stata I would get a lot of complaints about non-concave functions and unproductive steps attempted, but would eventually have a successful ML estimate. I believe that, with the

I'm trying to use the source command to run commands from a file. For instance: source("do.R"), where do.R is a file in the same directory in which I am running R. The contents of do.R are: ls() print("hello") sum(y1) mean(y1) After source("do.R"), all I see is: > source("do.R") [1] "hello" I'm using the X11 version of R for

Full_Name: peter muhlberger Version: 2.7.1 OS: Ubuntu x86_64 dual core Submission from: (NULL) (70.238.206.13) I've spent half a day generating .dta files using write.dta only to have them crash my copy of Stata. I eventually discovered that removing a string variable with a maximum observed length of 280 characters allows Stata to read the file without problems. A Stata limit is that the

Often it is useful to keep a "codebook" to document the contents of a dataset. (By "dataset" I mean a rectangular structure such as a dataframe.) The codebook has as many rows as the dataset has columns (variables, fields). The columns (fields) of the codebook may include: ? variable name ? type (character, factor, integer, etc) ? variable label

On Wed, 4 Jan 2006, Peter Muhlberger wrote: One comment in advance: please use a more meaningful subject. I would have missed this mail if a colleague hadn't pointed me to it. > I'm someone who from time to time comes to R to do applied stats for social > science research. [snip] > I would also prefer not to have to work through a > couple books on R or S+ to learn how to

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'm trying to fit a tobit regression model to some data. When fitting the exact same data in Stata, I have no problems at all, however R won't converge. Its not a maxiters thing, since I've tried increasing this already. I need to be able to fit the model in R since there are users of the code that don't have a Stata license. The code is: require(AER) left = 3.218476 x =

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,

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

Hello, I'm not a Stata user so I'm trying to reproduce Stata results that are given to me in R. I would like to use a GLM with a complementary log-log function. The stata code I have is: glm c IndA fia, family(binomial s) link(cloglog) offset(offset) The R code is: glmt <- glm(data=dataset, c ~ IndA + fia, offset = offset, family = binomial(link = cloglog)) Which yields

Hi all, I've got a project where I have to calculate weight-for-age Z-scores, preferably using the WHO standards. WHO have been very nice to publish macros for doing this in both STATA,SPSS, SAS and Splus formats (see http://www.who.int/childgrowth/software/en/), but for some reason have chosen not to use the free R alternative to Splus. In the Splus zipfile there are nine datafiles with a

I've created a data frame in R, but in order to clean up some of the data, I need to set certain variable observations equal to the value of their previous observation (it would be conditional, but that part's less important right now). In Stata, I would simply set var = var[_n-1] in those cases. What is the R equivalent? [[alternative HTML version deleted]]

Hi, I would like to operate on certain columns in a dataframe, but not others. My data looks like this: x1 x2 x3 1 2 3 4 5 6 7 8 9 I want to create a new column named x4 that is the sum of x1 and x2, but NOT x3. I looked at colSums and apply, but those functions seem to use all the columns in a dataframe. How do I only use select columns? If it helps, in Stata this would be gen x4

Hi R-users! Being new to R, and a fairly advanced Stata-user, I guess part of my problem is that my mindset (and probably my language as well) is wrong. Anyway, I have what I guess is a rather simple problem, that I now without success spent days trying to solve. I have a bunch of datasets imported from Stata that is labelled aa_2000 aa_2001 aa_2002, etc. Each dataset is imported as a matrix, and

Dear Rusers, I have met a difficult problem on explaining the differences of principal component analysis(PCA) between R,S-PLUS and SAS/STATA/SPSS, which wasn't met before. Althought they have got the same eigenvalues, their coeffiecients were different. First, I list my results from R,S-PLUS and SAS/STATA/SPSS, and then show the original dataset, hoping sb. to try and explain it.

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

Greetings, Apologies for such a simple question, but I have been trying to figure this out for a few days now (I'm quite new to R), have read manuals, list posts, etc., and not finding precisely what I need. I am accustomed to working in Stata, but I am currently working through the multilevel package right now. In Stata, I would include the statement "if model1 == 1" at the end

Hi everyone, I am looking to do some manual maximum likelihood estimation in R. I have done a lot of work in Stata and so I have been using output comparisons to get a handle on what is happening. I estimated a simple linear model in R with lm() and also my own maximum likelihood program. I then compared the output with Stata. Two things jumped out at me. Firstly, in Stata my coefficient

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