similar to: How to get the test statistic corresponding to the p-value in mtable?

Hi all, Does anyone know a way to change the significant stars in mtable (package memisc)? The default is Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1, however I need it to be Signif. codes: 0 '***' 0.01 '**' 0.05 '*' 0.1 ' ' 1 Kind regards, Erich [[alternative HTML version deleted]]

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

Hi all, Can anybody tell me what to do in case an error occurs inside a for-loop and I don't want the program to exit the loop? Rather instead I would like it to just go to the next number in the loop and try again with the new number. Is there any function like "on error go back to" or "skip error" ... ? Thanks in advance, Erich Erich STRIESSNIG IIASA

Hi everyone, I am trying to build a table putting standard errors horizontally. I haven't been able to do it. library(memisc) berkeley <- aggregate(Table(Admit,Freq)~.,data=UCBAdmissions) berk0 <- glm(cbind(Admitted,Rejected)~1,data=berkeley,family="binomial") berk1 <- glm(cbind(Admitted,Rejected)~Gender,data=berkeley,family="binomial") berk2 <-

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

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 a number of multilevel models and I would like some Latex outputs of them. I usually use the "apsrtable" package, but it does not accept "lme" outputs. Neither does the "mtable" function in the "memisc" package. Is there any good alternative that I am missing? Thanks, Jonas

Hi everyone, I am trying to build a table putting standard errors horizontally. I haven't been able to do it. library(memisc) berkeley <- aggregate(Table(Admit,Freq)~.,data=UCBAdmissions) berk0 <- glm(cbind(Admitted,Rejected)~1,data=berkeley,family="binomial") berk1 <- glm(cbind(Admitted,Rejected)~Gender,data=berkeley,family="binomial") berk2 <-

Hi - I have a series of 9 GAM regressions with about 5 parametric effects and three non-parametric effects in each. What is a good library or command for turning GAM outputs into publication-ready regression tables? I tried apsrtable and the mtable command in memisc but neither seemed to work with the gam output. I'd be okay with two separate tables - one for the parametric effects and

Hello Everyone (Quick) question: Does anyone know a package/command or simply a way of creating a table of different panel data estimations (estimated using /*plm()*/ ) just as *mtable()* does for models estimated with /*lm()*/? It seems *mtable* (and *apsrtable* equally) only support /*lm*/ and some other classes but unfortunately not /*plm*/. I am pretty sure others must have encountered this

Hello Everyone, I am writing programs in R from 7 months and I am able to solve most of the errors/issues except for this current post. My Task is to read a Microsoft Excel file(textE_to_affy.csv) which contains the Microarray Expression Values collected from the Illumina Microarray experiment. These collected intensity values need to be normalized(Rank Invariant Normalization) by using the R

Hi there, I have a dataset from a longitudinal study with a lot of drop-out. I want to implement the inverse probability weighting method by Robins 1995 JASA paper "Analysis of semiparametric regression models for repeated outcomes in the presence of missing data". Does anyone know if there is a package to do it in R (or other software)? Thanks a lot! Lei

Hola: Si aún hay alguien que no está de vacaciones, igual me pueden ayudar. Quiero ajustar unos modelos: REG_LOG <- glm (low ~ X, family = "binomial", data = DATOS) Ejemplo: library(MASS) data(birthwt, package="MASS") birthwt$low <- factor(birthwt$low) birthwt$race <- factor(birthwt$smoke) REG_LOG <- glm (low ~ smoke, family =

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 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 ->

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

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,

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

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