astrae_research
astrae_research

Reputation: 83

Modelsummary: DV names and Model Names at the same time in differen rows?

I was wondering how to use modelsummary to combine model names and DV names as in outreg2 in Stata? Here is the reprex:

    url <- 'https://vincentarelbundock.github.io/Rdatasets/csv/HistData/Guerry.csv'
dat <- read.csv(url)
models <- list(
  "OLS 1"     = lm(Donations ~ Literacy + Clergy, data = dat),
  "Poisson 1" = glm(Donations ~ Literacy + Commerce, family = poisson, data = dat),
  "OLS 2"     = lm(Crime_pers ~ Literacy + Clergy, data = dat),
  "Poisson 2" = glm(Crime_pers ~ Literacy + Commerce, family = poisson, data = dat),
  "OLS 3"     = lm(Crime_prop ~ Literacy + Clergy, data = dat)
)
modelsummary(models)

#N: DV names
modelsummary(dvnames(models), output = "flextable", estimate="{estimate}{stars}",
             statistic = 'statistic', stars = c('*' = .1, '**' = .05, '***'=0.01))
#N: Model names
modelsummary(models, output = "flextable", estimate="{estimate}{stars}",
             statistic = 'statistic', stars = c('*' = .1, '**' = .05, '***'=0.01))

Here is how a DV and model name combined table would look in outreg2 in Stata: enter image description here

Any info or advice would be appreciated!

Upvotes: 0

Views: 451

Answers (1)

Vincent
Vincent

Reputation: 17725

You could use the add_rows argument and create your own custom function to automate the process:

library(modelsummary)

insert_row <- function(x) {
    out <- c("DV:", names(dvnames(x)))
    out <- data.frame(as.list(out))
    attr(out, "position") <- 0
    return(out)
}

mod <- list(
    lm(mpg ~ hp, mtcars),
    lm(vs ~ hp, mtcars))

modelsummary(mod, add_rows = insert_row(mod))
Model 1 Model 2
DV: mpg vs
(Intercept) 30.099 1.217
(1.634) (0.150)
hp -0.068 -0.005
(0.010) (0.001)
Num.Obs. 32 32
R2 0.602 0.523
R2 Adj. 0.589 0.507
AIC 181.2 28.3
BIC 185.6 32.7
Log.Lik. -87.619 -11.134
F 45.460 32.876

Upvotes: 1

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