stargazer

I have the following regressions: fit1 <- lm(y ~ x1, data = data) fit2 <- lm(y ~ x1 + x2, data = data) fit3 <- lm(y ~ x3 * x1, data = data) I want in the output the explanatory variables to be order (x1, x2, x3 and finally the interaction). I try the following with order but still the interaction appears second after x1. What may be wrong here? stargazer(fit1, fit2, fit3, align=TRUE, table.placement="H",omit.stat=c("f", "ser"), order=c("x1", "x2", "x3", "x3:x1")) The help-file for order states "order - a vector of regular expressions (or of numerical indexes) that indicates the order in which

I`m searching for a method (or alternative) to get spaces between the columns of an stargazer html-table output. As stargazer::stargazer(mtcars, type = "html") results in which is not very good to read... Thank´s in advance! Samuel If you are writing an RMarkdown document, you can customize your HTML tables using stylesheets. This can be done adding the option CSS to your YAML header. Something like this: --- title: "My HTML Doc" output: html_document: css: styles.css --- To increase the spacing between columns you could, for example, add some padding to the left of the cells. So, in your

I am trying to use the package stargazer in RStudio to generate a summary table of my data. For some reason, I am not able to view the table in the output when I use either the html or latex code, but I can see it when I output as text. An example: library(stargazer) stargazer(attitude, type = 'text') Output looks like (as it is supposed to): ## ## ===================================== ## Statistic N Mean St. Dev. Min Max ## ------------------------------------- ## rating 30 64.633 12.173 40 85 ## complaints 30 66.600 13.315 37 90 ## privileges 30 53.133 12.235 30 83 ## learning 30 56.367 11

Does anyone know how to get stargazer to display clustered SEs for lm models? (And the corresponding F-test?) If possible, I'd like to follow an approach similar to computing heteroskedasticity-robust SEs with sandwich and popping them into stargazer as in http://jakeruss.com/cheatsheets/stargazer.html#robust-standard-errors-replicating-statas-robust-option . I'm using lm to get my regression models, and I'm clustering by firm (a factor variable that I'm not including in the regression models). I also have a bunch of NA values, which makes me think multiwayvcov is going to be the best package