Obtaining Separate Summary Statistics by Categorical Variable with Stargazer Package

Question

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

Answer 1

Three possible solution. One using reporttools and xtable, one using tidyverse tools along with stargazer, and third a base-r solution.

First,

I want to suggest you take a look at reporttools which is kinda leaving stargazer, but I think you should take a look at it,

# install.packages("reporttools")  #Use this to install it, do this only once
require(reporttools)

vars <- ToothGrowth[,c('len','dose')]
group <- ToothGrowth[,c('supp')]

## display default statistics, only use a subset of observations, grouped analysis
tableContinuous(vars = vars, group = group, prec = 1, cap = "Table of 'len','dose' by 'supp' ", lab = "tab: descr stat")

% latex table generated in R 3.3.3 by xtable 1.8-2 package
\begingroup\footnotesize
\begin{longtable}{llrrrrrrrrrr}
 \textbf{Variable} & \textbf{Levels} & $\mathbf{n}$ & \textbf{Min} & $\mathbf{q_1}$ & $\mathbf{\widetilde{x}}$ & $\mathbf{\bar{x}}$ & $\mathbf{q_3}$ & \textbf{Max} & $\mathbf{s}$ & \textbf{IQR} & \textbf{\#NA} \\ 
  \hline
len & OJ & 30 & 8.2 & 15.5 & 22.7 & 20.7 & 25.7 & 30.9 & 6.6 & 10.2 & 0 \\ 
   & VC & 30 & 4.2 & 11.2 & 16.5 & 17.0 & 23.1 & 33.9 & 8.3 & 11.9 & 0 \\ 
   \hline
 & all & 60 & 4.2 & 13.1 & 19.2 & 18.8 & 25.3 & 33.9 & 7.6 & 12.2 & 0 \\ 
   \hline
dose & OJ & 30 & 0.5 &  0.5 &  1.0 &  1.2 &  2.0 &  2.0 & 0.6 &  1.5 & 0 \\ 
   & VC & 30 & 0.5 &  0.5 &  1.0 &  1.2 &  2.0 &  2.0 & 0.6 &  1.5 & 0 \\ 
   \hline
 & all & 60 & 0.5 &  0.5 &  1.0 &  1.2 &  2.0 &  2.0 & 0.6 &  1.5 & 0 \\ 
   \hline
\hline
\caption{Table of 'len','dose' by 'supp' } 
\label{tab: descr stat}
\end{longtable}
\endgroup

in latex you get this nice result,

Second,

using tidyverse tools along with stargazer, inspired by this SO answer,

# install.packages(c("tidyverse"), dependencies = TRUE)
library(dplyr); library(purrr)
#> ToothGrowth %>% split(. $supp) %>% walk(~ stargazer(., type = "text"))
#> =========================================
#> Statistic N   Mean  St. Dev.  Min   Max  
#> -----------------------------------------
#> len       30 20.663  6.606   8.200 30.900
#> dose      30 1.167   0.634   0.500 2.000 
#> -----------------------------------------
#> =========================================
#> Statistic N   Mean  St. Dev.  Min   Max  
#> -----------------------------------------
#> len       30 16.963  8.266   4.200 33.900
#> dose      30 1.167   0.634   0.500 2.000 
#> -----------------------------------------
#> 

Third,

an exclusive base-r

by(ToothGrowth, ToothGrowth$supp, stargazer, type = 'text')
    #> =========================================
    #> Statistic N   Mean  St. Dev.  Min   Max  
    #> -----------------------------------------
    #> len       30 20.663  6.606   8.200 30.900
    #> dose      30 1.167   0.634   0.500 2.000 
    #> -----------------------------------------
    #> 
    #> =========================================
    #> Statistic N   Mean  St. Dev.  Min   Max  
    #> -----------------------------------------
    #> len       30 16.963  8.266   4.200 33.900
    #> dose      30 1.167   0.634   0.500 2.000 
    #> -----------------------------------------
    #> ToothGrowth$supp: OJ
    #> [1] ""                                         
    #> [2] "========================================="
    #> [3] "Statistic N   Mean  St. Dev.  Min   Max  "
    #> [4] "-----------------------------------------"
    #> [5] "len       30 20.663  6.606   8.200 30.900"
    #> [6] "dose      30 1.167   0.634   0.500 2.000 "
    #> [7] "-----------------------------------------"
    #> --------------------------------------------------------------- 
    #> ToothGrowth$supp: VC
    #> [1] ""                                         
    #> [2] "========================================="
    #> [3] "Statistic N   Mean  St. Dev.  Min   Max  "
    #> [4] "-----------------------------------------"
    #> [5] "len       30 16.963  8.266   4.200 33.900"
    #> [6] "dose      30 1.167   0.634   0.500 2.000 "
    #> [7] "-----------------------------------------"