stargazer

问题 I need to estimate a number of linear models on the same dataset, and put the regression results all into one table. For a reproducible example, here's a simplification using mtcars : formula_1 = "mpg ~ disp" formula_2 = "mpg ~ log(disp)" formula_3 = "mpg ~ disp + hp" Currently, my approach has been to: Create a list that contains all of the formulae. use purrr:map() to estimate all of the lm models. use stargazer:: to produce output tables. library(tidyverse) library(stargazer) formula_1 =

问题 I need to estimate a number of linear models on the same dataset, and put the regression results all into one table. For a reproducible example, here's a simplification using mtcars : formula_1 = "mpg ~ disp" formula_2 = "mpg ~ log(disp)" formula_3 = "mpg ~ disp + hp" Currently, my approach has been to: Create a list that contains all of the formulae. use purrr:map() to estimate all of the lm models. use stargazer:: to produce output tables. library(tidyverse) library(stargazer) formula_1 =

问题 I have regression coefficients at p-value 0.06. The output table of stargazer does not display the dot (.) signalling p-values under 0.1. How do I make stargazer to signal p-values below 0.1 in the output table? *It would be hard to find or create a reproducible example with p-values above 0.05 and below 0.1. If needed, I'll try and find something. But hopefully this is a softball question with a quick solution. 回答1: You can do this with the star.cutoffs and star.char arguments. Some fake

问题 I have regression coefficients at p-value 0.06. The output table of stargazer does not display the dot (.) signalling p-values under 0.1. How do I make stargazer to signal p-values below 0.1 in the output table? *It would be hard to find or create a reproducible example with p-values above 0.05 and below 0.1. If needed, I'll try and find something. But hopefully this is a softball question with a quick solution. 回答1: You can do this with the star.cutoffs and star.char arguments. Some fake

问题 Is it possible to change the default of stargazer so that it displays some custom model shortcut instead of the model number? I found the model.number parameter but this is a on-/off parameter. Ideally, I could pass something like model.names=c("hhc", "dca", "bpc") to stargazer and this would replace the automatic numbering. 回答1: At the moment you could get your desires under the condition that those were the names of the model-objects, but not if they had other names, by doing this:

问题 WARNING: I was not able to reproduce the error in a separate R/RStudio session, so I am hoping just to get some leads on trouble shooting my current .rmd script. The Problem All of a sudden, the stargazer title argument seemed to stop working. No matter what the title was or where I placed the argument within the function, it does not seem to work. Additionally, and maybe related, I started getting this warning message: the condition has length > 1 and only the first element will be used

问题 WARNING: I was not able to reproduce the error in a separate R/RStudio session, so I am hoping just to get some leads on trouble shooting my current .rmd script. The Problem All of a sudden, the stargazer title argument seemed to stop working. No matter what the title was or where I placed the argument within the function, it does not seem to work. Additionally, and maybe related, I started getting this warning message: the condition has length > 1 and only the first element will be used

问题 I'm trying to run the following regression: m1=glm(y~x1+x2+x3+x4,data=df,family=binomial()) m2=glm(y~x1+x2+x3+x4+x5,data=df,family=binomial()) m3=glm(y~x1+x2+x3+x4+x5+x6,data=df,family=binomial()) m4=glm(y~x1+x2+x3+x4+x5+x6+x7,data=df,family=binomial()) and then to print them using the stargazer package: stargazer(m1,m2,m3,m4 type="html", out="models.html") Thing is, the data frame df is rather big (~600MB) and thus each glm object I create is at least ~1.5GB. This creates a memory issue

问题 When fitting a generalized additive model with smoothed splines stargazer only returns the main effects and not the smooth terms which you can see in summary(pros.gam) . Can stargazer return these as well? Or is there another function or package that can do the job? library(ElemStatLearn) library(mgcv) library(stargazer) pros.gam=gam(lpsa~s(lcavol)+s(lweight)+s(age)+s(lbph)+svi +s(lcp)+gleason+s(pgg45),data=prostate) summary(pros.gam) # Table should include the smooth terms that are visible

问题 I'm trying to capture the output from some R code and replace it with latex code. If you run this code: library(stargazer) x <- capture.output(stargazer(mtcars[1:5, 1:3], summary = FALSE, title="The main caption of the table.")) x This is the output: [1] "" [2] "% Table created by stargazer v.5.1 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu" [3] "% Date and time: Sat, Jun 27, 2015 - 11:36:07" [4] "\\begin{table}[!htbp] \\centering " [5] " \\caption{The main caption