Title models with their dependent variables

Description

A convenience function for use with a regression model or list of regression models. Returns a named list of models, where the names are the models’ respective dependent variables. Pass your list of models to dvnames before sending to modelsummary to automatically get dependent variable-titled columns.

Usage

dvnames(models, number = FALSE, strip = FALSE, fill = "Model")

Arguments

models A regression model or list of regression models
number Should the models be numbered (1), (2), etc., in addition to their dependent variable names?
strip boolean FALSE returns the dependent variable names as they appear in the model. TRUE returns the dependent variable names as they appear in the data, without transformations.
fill If insight::find_response() cannot find a response, the column title to use in its place. Set to ’ ’ to leave blank.

Examples

library(modelsummary)


m1 <- lm(mpg ~ hp, data = mtcars)
m2 <- lm(mpg ~ hp + wt, data = mtcars)

# Without dvnames, column names are (1) and (2)
modelsummary(list(m1, m2))
tinytable_qvhp3xin8d79zvarw030
(1) (2)
(Intercept) 30.099 37.227
(1.634) (1.599)
hp -0.068 -0.032
(0.010) (0.009)
wt -3.878
(0.633)
Num.Obs. 32 32
R2 0.602 0.827
R2 Adj. 0.589 0.815
AIC 181.2 156.7
BIC 185.6 162.5
Log.Lik. -87.619 -74.326
F 45.460 69.211
RMSE 3.74 2.47
# With dvnames, they are "mpg" and "mpg"
modelsummary(dvnames(list(m1,m2)))
tinytable_ikvj70xdr55q9oaneg87
mpg mpg
(Intercept) 30.099 37.227
(1.634) (1.599)
hp -0.068 -0.032
(0.010) (0.009)
wt -3.878
(0.633)
Num.Obs. 32 32
R2 0.602 0.827
R2 Adj. 0.589 0.815
AIC 181.2 156.7
BIC 185.6 162.5
Log.Lik. -87.619 -74.326
F 45.460 69.211
RMSE 3.74 2.47