similar to: Output to Latex using Memisc almost works

We've added a column at http://cran.r-project.org/web/checks/check_summary.html of test results using the Sun Studio compiler: it is intended that these will be updated weekly. The Sun Studio compiler is that used on Solaris: these runs were on the Linux version. All the other platforms are using gcc 4, so this provides an opportunity for checking for use of gcc-specific features and

hello everybody i was seeking a converter beetween R regression output (eg with summary) and the conventional way to present regression output in paper: every model as a vertical vector with \beta, t beetween parenthesis below the first, and other statistics (R^2 etc) . I've seen hmisc and xtable, and if I didn't miss something, they don't include something like that. Thank you

Hi everyone, I'm trying to import .sps (SPSS portable file) file. the read.spss function (library foreign) doesn't allow to import such files. should I import in spss and then save as sav file? there is not other solutions available? what I mostly like from spss file is that they have variable labels. want is really wish to keep are the variable.labels from the spss file; so, if there is a

Hi all, A suggestion derived from discussions amongst a number of R users in my research group: set the default column names produced by aggregate () equal to the names of the objects in the list passed to the 'by' object. ex. it is annoying to type with( my.data ,aggregate( my.dv ,list( one.iv = one.iv ,another.iv = another.iv ,yet.another.iv = yet.another.iv )

Hello list, I'm new to this list, so please forgive my ignorance. I have searched R-help for some hints into what might be my problem, but I truly have no idea where to go from here. I have an object of approximately 15,000 rows and 2 columns. There are many duplicates in the first column, all with different corresponding values in the second column. For example (2 is duplicated):

Dear useRs, I am pleased to announce the availability of version 0.95 of package 'memisc' on CRAN (http://cran.r-project.org/web/packages/memisc/). 'memisc' does not implement any new estimators, but focuses on providing an infrastructure for data analysis especially of survey data. It may be of interest to all those who have had to use a commercial package like SPSS or Stata

Dear useRs, I am pleased to announce the availability of version 0.95 of package 'memisc' on CRAN (http://cran.r-project.org/web/packages/memisc/). 'memisc' does not implement any new estimators, but focuses on providing an infrastructure for data analysis especially of survey data. It may be of interest to all those who have had to use a commercial package like SPSS or Stata

Dear All, I am trying to recode a variable using the functions provided by "memisc" package. Actually I am following the examples on page 9-10 of the vignette: -------------------------------------------------------------------------- d.fig <- within(d.fig,{ sev <- recode(sev, 1 -> 0.9, 2 -> 1.0, 3 -> 1.1, 4 ->

Dear list members, I have got another problem. I imported an SPSS file with the Memisc package using the following commands: mz <- spss.system.file("myspssfile.sav") mz <- subset(mz,select=c( bsex,balt,xurb,dtaet,kartab,bgeb,boseit,bgeblan,xnuts2,kausb,xerwstat, asbper,asbhh,ajahr,aquartal,bstaat,xwieoft,gew1,apkz,bpkzm,bpkzv)) Afterwards I checked the measurements of the

Dear people, Yesterday I looked at the recode command in the memisc package and ran the following example stated in the manual: x <- as.item(sample(1:6,20,replace=TRUE), labels=c( a=1, b=2, c=3, d=4, e=5, f=6)) print(x) f <- as.factor(x) f recode(f,

Hello, I've got a question concerning the usage of robust standard errors in regression using lm() and exporting the summaries to LaTeX using the memisc-packages function mtable(): Is there any possibility to use robust errors which are obtained by vcovHC() when generating the LateX-output by mtable()? I tried to manipulate the lm-object by appending the "new" covariance

Greetings, Is there a way to control the number of digits after the decimal from linear regression output using the memisc package? I have tried the following code, but it does not work: fm <- lm(y ~ X) mtable(fm, digits=9) The default seems to be 3 digits after the decimal. Also, is there a way in general to control the number of digits after the decimal? Thank you! Geoff

Hi, I have loaded the packages car, memisc, Hmisc and all of these implement the function recode. The order in which the packages are loaded depends on the order I execute my scripts and thus is not always the same and the syntax of the recode function changes with the package. Is there any way to call specificly the memisc recode function? Or maybe it's better to detach all packages first

Dear R-Users, I want to use mtable from package "memisc" to produce Latex-style estimation output. However, mtable() only gives me a p-value and not the corresponding test-statistic. Does anyone know how to extract it, either from a glm/anova object or mtable? Here is a short example: # Run this #################### install.packages("memisc") library(memisc) set.seed(1)

Do anyone know anything about the use of R for agent-based social simulation? It should be possible, and would be convenient for the simple reason that there are several nice packages containing useful stuff for SNA (Social Network Analysis). Information about packages, web sites, experienced persons in the field, etc. would be very welcome. Tom

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

Full_Name: Martin Elff Version: 1.5.0 OS: MS Windows 98 Submission from: (NULL) (134.155.91.46) Merging of two data frames by variables with different names (using by.x and by.y) is no longer possible (it was possible in version 1.4.1). Call: mvoteint.classd.matadd <- merge( unique(mvoteint.classd), unique(subset(dimens.mpp,

Hola. Estoy utilizando lyx con el módulo de knitr y tengo un problemilla con la función toLatex del paquete memisc. Pongo un ejemplo mejor. En Rstudio lo puedo hacer como sigue en un fichero Rnw. y la tabla en el pdf aparece alineada en el pdf. \documentclass{article} \usepackage{booktabs} \usepackage{dcolumn} \begin{document} <<>>= library(memisc) X1 <- rnorm(1000) X2 <-

Hi I have the following barchart to which I want to add error bars. library(lattice) barchart(Change~fTreat,groups=Process,change, auto.key=list(points=FALSE,rectangles=TRUE), panel=function(x, y,...){ panel.barchart(x,y,origin = 0,...); panel.abline(h=0,col="black",...); } ) I have tried

Hello to the whole group. I am a newbie to R, but I got my way through and think it is a lot easier to handle than other software packages (far less clicks necessary). However, I have a problem with respect to the summary of regression results. The summary function gives sth like: Residuals: Min 1Q Median 3Q Max -0.46743 -0.09772 0.01810 0.11175 0.42252