pubh (version 1.1.16)

model_labels: Using labels as coefficient names in tables of coefficients.

Description

model_labels replaces row names in glm_coef with labels from the original data frame.

Usage

model_labels(model, intercept = TRUE)

Arguments

model

A generalised linear model.

intercept

Logical, should the intercept be added to the list of coefficients?

Details

model_labels does not handle yet interaction terms, see examples.

Please read the Vignette on Regression for more examples.

Examples

# NOT RUN {
require(dplyr)
require(sjlabelled)

data(birthwt, package = "MASS")
birthwt <- birthwt %>%
  mutate(
    smoke = factor(smoke, labels = c("Non-smoker", "Smoker")),
    race = factor(race, labels = c("White", "African American", "Other"))
  ) %>%
  var_labels(
    bwt = 'Birth weight (g)',
    smoke = 'Smoking status',
    race = 'Race'
  )

model_norm <- lm(bwt ~ smoke + race, data = birthwt)

glm_coef(model_norm, labels = model_labels(model_norm))

model_int = lm(formula = bwt ~ smoke*race, data = birthwt)

model_int %>%
  glm_coef(labels = c(
    model_labels(model_int),
    "Smoker: African American",
    "Smoker: Other"
 ))
# }

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