similar to: New verision 0.95 of package 'memisc' released to CRAN

Hello, I'm using memisc to output regression results to tables and latex. My problem is that the output that Latex needs must be in between $ $ so that it is read as formula but memisc does not output the result between $ $. For example, latex needs: $0.05^{***}$ and memisc outputs 0.05^{***} in an entry. I am new to Latex and I imagine it could also be a latex 'problem' and not

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

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

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 )

https://bugzilla.netfilter.org/bugzilla/show_bug.cgi?id=530 Summary: loading nf_nat verision of the iptable_nat module kills existing connections Product: netfilter/iptables Version: linux-2.6.x Platform: All OS/Version: All Status: NEW Severity: normal Priority: P2 Component:

https://bugzilla.netfilter.org/bugzilla/show_bug.cgi?id=530 kaber@trash.net changed: What |Removed |Added ---------------------------------------------------------------------------- Status|NEW |RESOLVED Resolution| |FIXED ------- Additional Comments From kaber@trash.net 2007-01-09

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

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

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

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 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):

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,

I want to move from running puppet under it's own web brick server, to using passenger. I'd like to get an idea of how folk are running passenger? Ideally I'd like to keep everything rpm based, so would need ruby enterprise rpms, and then the mod_rails / passenger plugin? How are you folk doing it? I've seen:

Dear all, I have been searching far and wide for a solution to the problem of negative intracluster correlation in the case of a binomial response variable (also known as under-dispersion). Prentice (1986) (http://www.jstor.org/stable/2289219) developed an extension of the beta-binomial model which allowed for this negative correlation. Palmquist

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

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

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)