I would like to display the t value and p value from my regression output using the stargazer package. So far, I’ve found ways to show one or the other. I did find something online that displays both; however, it omits the coefficient names. Is there a function or something else that will enable me to show all three?
library(stargazer)
data("cars")
model <- lm(hp ~ wt, mtcars)
stargazer(model, type='text',report = "csp")
Shows p-values, but no beta coefficient names
shows beta coefficient names, but no pvalues. I would like to keep all three: coefficient names, t stat, and p-value
edit
removed a function used on the website that I did not use
>Solution :
You could mention it by using t in the report argument:
a character string containing only elements of "v", "c", "s","t", "p",
"" that determines whether, and in which order, variable names ("v"),
coefficients ("c"), standard errors/confidence intervals ("s"), test
statistics ("t") and p-values ("p") should be reported in regression
tables. If one of the aforementioned letters is followed by an
asterisk (""), significance stars will be reported next to the
corresponding statistic.
Here is a reproducible example:
library(stargazer)
data("cars")
model <- lm(hp ~ wt, mtcars)
stargazer(model, type='text', report = "vcstp")
#>
#> ===============================================
#> Dependent variable:
#> ---------------------------
#> hp
#> -----------------------------------------------
#> wt 46.160
#> (9.625)
#> t = 4.796
#> p = 0.00005
#>
#> Constant -1.821
#> (32.325)
#> t = -0.056
#> p = 0.956
#>
#> -----------------------------------------------
#> Observations 32
#> R2 0.434
#> Adjusted R2 0.415
#> Residual Std. Error 52.437 (df = 30)
#> F Statistic 22.999*** (df = 1; 30)
#> ===============================================
#> Note: *p<0.1; **p<0.05; ***p<0.01
Created on 2022-11-12 with reprex v2.0.2