inst/tinytest/test-gof_map.R

source("helpers.R")
requiet("tibble")

# gof_map = NA
mod <- lm(mpg ~ hp, mtcars)
tab1 <- modelsummary(mod, output = "data.frame", gof_map = NA)
tab2 <- modelsummary(mod, output = "data.frame", gof_omit = ".*")
expect_equivalent(tab1, tab2)
expect_false("gof" %in% tab1$part)
expect_false("gof" %in% tab2$part)

# gof_map inputs are equivalent
mod <- lm(mpg ~ hp, mtcars)
gm <- tribble(
    ~raw, ~clean, ~fmt,
    "r.squared", "R-Squared", "%.7f")
w <- modelsummary(mod, output = "data.frame", gof_map = gm)
gm <- tribble(
    ~raw, ~clean, ~fmt,
    "r.squared", "R-Squared", function(x) sprintf("%.7f", x))
x <- modelsummary(mod, output = "data.frame", gof_map = gm)
gm <- tribble(
    ~raw, ~clean, ~fmt,
    "r.squared", "R-Squared", 7)
y <- modelsummary(mod, output = "data.frame", gof_map = gm)
gm <- list(list(raw = "r.squared", clean = "R-Squared", fmt = 7))
z <- modelsummary(mod, output = "data.frame", gof_map = gm)
expect_equivalent(w, x)
expect_equivalent(w, y)
expect_equivalent(w, z)

# character vector
mod <- lm(mpg ~ hp + drat, mtcars)
tab <- modelsummary(mod,
    gof_map = c("r.squared", "rmse", "nobs"),
    output = "data.frame")
expect_equivalent(tab$term[7:9], c("R2", "RMSE", "Num.Obs."))
tab <- modelsummary(mod, gof_map = c("junk", "rmse", "nobs"), output = "data.frame")
expect_inherits(tab, "data.frame")

tab <- modelsummary(
    mod,
    output = "data.frame",
    gof_map = "")
expect_equivalent(nrow(tab), 6)

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modelsummary documentation built on Oct. 15, 2023, 5:06 p.m.