How to get a clean descriptive statistics table that displays all variables grouped by outcomes of a-CodePudding

The categorical variable I'm using has four possible outcomes (ResJobLocationChoice). I want to find the n observations, mean, standard deviation, and min/max for each outcome using multiple variables (categorical and continuous). Preferably in 1 table.

I've tried but I haven't been able to get it working with multiple variables.

with(data_df, table(Female, ResJobLocationChoice))
with(data_df, do.call(rbind, tapply(Wage, ResJobLocationChoice, function(x) c(Mean = mean(x), St.Dev. = sd(x)))))

I also tried using stargazer, but to no success:

data_df %>% 
  group_by(ResJobLocationChoice) %>% 
  stargazer(data_df[c("Wage","CommuteTime", "HousingPrice")], type="text", 
            digits=2, title="Residential-Job Location Choice")

CodePudding user response：

As there is no replication data available have used population data inbuilt in R. Create the table with summary stats and then use stargazer with summary = FALSE

population %>% 
  group_by(country) %>% 
  summarise(amean=round(mean(population),2),
            asd=round(sd(population),2)) %>% 
stargazer(type = "text", summary=FALSE)