inst/tinytest/test-coef_omit.R

In modelsummary: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready

# perl=TRUE allows lookbehind
# omit vs except when it is preceded by mpg
mod <- lm(hp ~ mpg * vs, mtcars)
out <- modelsummary(mod,
  coef_omit = "^(?!mpg).*vs",
  output = "data.frame")
expect_equivalent(
  out$term[1:7],
  c("(Intercept)", "(Intercept)", "mpg", "mpg", "mpg × vs", "mpg × vs", "Num.Obs."))

# omit coefficients using regular expressions
mod <- list()
mod$OLS <- lm(am ~ drat, data = mtcars)
mod$Logit <- glm(am ~ qsec, data = mtcars, family = binomial())

raw <- modelsummary(mod, coef_omit = c("drat|qsec"), output = "dataframe")

truth <- c("(Intercept)", "(Intercept)", "Num.Obs.")
expect_equivalent(unname(raw[[2]][1:3]), truth)

# numeric indices
mod <- list(
  lm(mpg ~ hp + factor(cyl) + drat + factor(am), mtcars),
  lm(mpg ~ factor(cyl) + drat, mtcars))
tab <- modelsummary(mod, "data.frame", coef_omit = 1:2)
expect_false("(Intercept)" %in% tab$term)
tab <- modelsummary(mod, "data.frame", gof_map = NA, coef_omit = 3)
expect_equivalent(nrow(tab), 10)
tab <- modelsummary(mod, "data.frame", gof_map = NA, coef_omit = 2:3)
expect_equivalent(nrow(tab), 8)
expect_error(
  modelsummary(mod, shape = model ~ term, coef_omit = 3),
  pattern = "shape")
tab <- modelsummary(mod, "data.frame", coef_omit = -1, gof_map = NA)
expect_equivalent(nrow(tab), 2)
tab <- modelsummary(mod, "data.frame", coef_omit = -c(1, 3), gof_map = NA)
expect_equivalent(nrow(tab), 4)
expect_error(
  modelsummary(mod, "data.frame", coef_omit = -1:3, gof_map = NA),
  pattern = "sign")