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Team, I am trying to resolve the self-selection bias of a sample in an experiment and would like to run the Heckman Correction Estimation using R. Can someone help me with the R-Code... I tried searching for the discussion, but not successful. Thanks in advance, Best, Kishore/.. http://kaykayatisb.blogspot.com [[alternative HTML version deleted]]

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Have the counter function in R ? if we use the software SAS /*** SAS Code **************************/ data tmp(drop= i); retain seed x 0; do i = 1 to 5; call ranuni(seed,x); output; end; run; data new; counter=_n_; ***** this keyword _n_ ****; set tmp; run; /* _n_ (Automatic variables) are created automatically by the DATA step or by DATA step statements. */ /*** Output

I would like to estimate the sigma matrix of multinormal distribution through ML. But I don't know how to optimize the parameter sigma. Could any one help me? Thank you so much~ Yen Lee

*How can I do a t-test with survey data?* Thanks. Marie -- --------------------------------------------------------------------- Le Bureau f?d?ral du Plan f?te ses 50 ans en 2009. Het Federaal Planbureau viert zijn 50-ste verjaardag in 2009. The Federal Planning Bureau celebrates its 50-th anniversary in 2009. ---------------------------------------------------------------------

I need a script that works for Bootstrap validation. Could someone explain me when should I use the Bootstrap technical or Jackknife? Thanks -- View this message in context: http://www.nabble.com/BOOTSTRAP_CROSS-VALIDATION-tp22529500p22529500.html Sent from the R help mailing list archive at Nabble.com.

Dear R Users, May be this message should be directy send to Douglas Bates ... I just want to know if I can use the AIC value given in the output of an lmer model to classify my logistic models. I heard that the AIC value given in GLIMMIX output (SAS) is false because it come from a calculation based on pseudo-likelyhood. Is it the same for lmer ??? thanks, Arnaud Arnaud MOSNIER Biologiste

I have a data frame in long format and I would like to randomly divide this data frame in half. The data frame consists of 39622 rows and I initially tried ... randomsample1 <- data[sample(nrow(data),19811), ] Where allows me to randomly select half of the rows and assign them to randomsample1 but then I couldn't figure out how to select those rows that were not selected and assign

Dear R Gurus: I read somewhere that functions are considered vectors. Is this true, please? thanks Edna Bell

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Hi, When doing a two-ways anova in R and comparing my same results with an SPSS output, I noticed that R calculated type I Sum of Squares. Is it possible to use Type III Sum of Squares? Thanks, S?bastien Plante Institut des Sciences de la Mer de Rimouski (ISMER) -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

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Hi all, I' m trying to figure out if it is appropriate to do a PCA having only categorical data (not ordinal). I have only find the following quote: One method to find such relationships is to select appropriate variables and to view the data using a method like Principle Components Analysis (PCA) [4]. This approach gives us a clear picture of the data using KL-plot of the PCA. However, the

If I have a dataframe which is organized like this: name color likes? 1 sally red 0 2 sally blue 1 3 sally green 1 4 jake red 0 5 jake blue 1 6 jake green 1 7 tom red 1 8 tom blue 0 9 tom green 0 And I want to create a matrix in the form: red blue green sally 0 1 1 jake 0 1 1 tom 1 0 0 Are there any built-in

Hi all, I have relatively small dataset on which I would like to perform a PCA. I am interested about a package that would also combine a method for determining the number of components (I know there are plenty of approaches to this problem). Any suggestions about a package/function? thanks, Nick -- View this message in context:

R-2.9.1, Windows7 Dear list, I have a question to you that seems very simple to me, but I just can't figure it out. I have a dataframe called "ratings" which contains the following variables: evalR1, evalR2, evalR3, evalR4, scoreR1, scoreR2, scoreR3, scoreR4, opinionR1, opinionR2, opinionR3, opinionR4. (there are more variables, but this gives an idea of the data structure). What

Hello! I have the following problem. My code: --snip-- ergebnisse <- rep(0, each=2) stichproben <- rep(0, each=2) for (i in seq(1:2)) { n <- dim(daten)[1] ix <- sample(n,200) # producing samples samp_i <- daten[ix,] stichproben[i] <- samp_i # doesn???t works # Calculation of the model: posterior_i <- MCMClogit(y ~ fbl.ind + fekq3 + febitda4 + fuvs + fkru +

Run outfit<-nlm(..., hessian=T) and then standards error are se<-diag(solve(outfit$hessian))   Justin BEM BP 1917 Yaoundé Tél (237) 76043774   ________________________________ De : Bomee Park <bombom@stanford.edu> À : r-help@r-project.org Envoyé le : Jeudi, 29 Janvier 2009, 4h01mn 56s Objet : [R] standard error of logit parameters Hi everyone. I am now estimating the

Of course SVM is for supervise learning method (classification or regression). You cannot use a boat to fly man !   Justin BEM BP 1917 Yaoundé Tél (237) 99597295 (237) 22040246 ________________________________ Envoyé le : Mardi, 5 Mai 2009, 16h07mn 10s Objet : Re : [R] Support Vector Machines Thank you. I will look this later but I think i've saw this function and i'm not sure