search for: texreg

...ot;)) and a continuous variable: weight <- runif(20) I want to regress group over weigth, therefore I run: reg2 <- polr(group ~ weight, Hess = TRUE, method = "logistic", model = TRUE) Finally, I wish to include a table with the results in my latex document. Hence I run: tt <- texreg(reg2) but I get the following error: Error in beta[, 1] : incorrect number of dimensions Any ideas about what am I doing wrong? Thanks in advance, f. -- Francesco Sarracino, Ph.D. https://sites.google.com/site/fsarracino/ [[alternative HTML version deleted]]

Dear all, I am trying to export my fixed effect results to Latex. I am using the plm package with the summary function. However, it does not look like apsrtable, stargazer, or any other package can accompany using the plm package. I am interested in a classic table with the coefficient in one row followed by the standard error in paranthesis in the next row and stars by the coefficient to show

...= 0 -0.14007 0.01589 -8.813 <0.001 "***" Group1 - Group3 == 0 -0.09396 0.01575 -5.965 <0.001 *** --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 (Adjusted p values reported -- single-step method) I'm aware of libraries like stargazer, xtable, texreg, reporttools, memisc and apsrtable, but none of them does the job for glht :( Does anyone have any hints? Thanks and best regards Jan Winter

...e to take a different approach to the old question of dataset variable labels. Support for their use in output is low. For example, among packages that provide tables of model estimates only 'stargazer' provides support for these labels (apologies if I missed support from aprstable, memisc, texreg, xtable). Part of the lack of support could be that variable labels are not handled automatically by the data.frame functions. Support has been added by subsequent packages but they differ in implementation. Hmisc and memisc attach the labels individually to the variables. Foreign and surveydata a...

...ges also provide generic infrastructure for visualizing models and carrying out inference. I have also some related packages such as "lmtest", "sandwich", "strucchange", or "multcomp". Exporting tables of regression coefficients in a modular way via "texreg" or "memisc" could also be added. > Once we have built a regression model, we typically want to use the > model for further processing, such as making predictions from the model > or plotting the residuals. Unfortunately, for many packages on CRAN > this can be diffi...