stargazer

I am using Stargazer to report the results from some models where I use robust standard errors. The process of calculating these and then feeding the models to Stargazer strips out data such as R^2 and so I need to add it in manually. Doing so, however, is causing me problems. Below is the basic stargazer() call that I'm trying to run. Following it and some discussion is the code needed to generate the data going into the stargazer() call: stargazer(fit1_robust, fit2_robust, keep.stat = c("n", "adj.rsq"), # doesn't actually result in keeping the stats, but including it just to demonstrate such

Is there a way to get notes in stargazer to wrap lines instead of running off the page? stargazer(fit.1, notes="A very very long note that I would like to put below the table, but currently runs off the side of the page when I compile my document. How do I get this to wrap into paragraph form?") Which produces: \hline \\[-1.8ex] \textit{Notes:} & \multicolumn{2}{l}{$^{*}$P $<$ .05} \\ & \multicolumn{2}{l}{$^{**}$P $<$ .01} \\ & \multicolumn{2}{l}{$^{***}$P $<$ .001} \\ & \multicolumn{2}{l}{A very very long note that I would like to put below the table, but currently runs off the side of the

I'm trying to create a stargazer table for a set of regressions, where I ran each regression on a subset of my data. The natural way to do this, I would think, is to use split to create a list of data.frames from my data, create a list of lm objects by using lapply on the list of data.frames, and then feed that list to stargazer . For example, library(MASS) library(stargazer) data(Boston) # This doesn't work by.river <- split(Boston, Boston$chas) fit <- lapply(by.river, lm, formula = crim ~ indus) stargazer(fit, type = "text") # % Error: Unrecognized object type. # % Error: Unrecognized object

When using stargazer to create a LaTeX table on a logistic regression object the standard behaviour is to output logit-values of each model. Is it possible to get exp(logit) instead? That is, can i get the Odds-ratios instead? In the stargazer documentation the following mentions the "Coef"-argument, but I dont understand if this can enable the exp(logits). Coef: a list of numerical vectors that will replace the default coefficient values for each model. Element names will be used to match coefficients to individual covariates, and should therefore match covariate names. A NULL vector indicates

I would like to use stargazer to produce summary statistics for each category of a grouping variable. I could do it in separate tables, but I'd like it all in one – if that is not unreasonably challenging for this package. For example library(stargazer) stargazer(ToothGrowth, type = "text") #> #> ========================================= #> Statistic N Mean St. Dev. Min Max #> ----------------------------------------- #> len 60 18.813 7.649 4.200 33.900 #> dose 60 1.167 0.629 0.500 2.000 #> ----------------------------------------- provides summery statistics for the continues variables in