JWileymisc (version 0.3.1)

formatLMER: Format results from a linear mixed model

Description

Format results from a linear mixed model

Usage

formatLMER(list, modelnames, format = list(FixedEffects =
  c("%s%s [%s, %s]"), RandomEffects = c("%s", "%s [%s, %s]"),
  EffectSizes = c("%s/%s, %s")), digits = 2, pcontrol = list(digits
  = 3, stars = TRUE, includeP = FALSE, includeSign = FALSE, dropLeadingZero
  = TRUE), ...)

Arguments

list

A list of one (or more) models estimated from lmer

modelnames

An (optional) vector of names to use in the column headings for each model.

format

A list giving the formatting style to be used for the fixed effecvts, random effects, and effect sizes. For the random effects, must be two options, one for when the random effects do not have confidence intervals and one when the random effects do have confidence intervals.

digits

A numeric value indicating the number of digits to print. This is still in early implementation stages and currently does not change all parts of the output (which default to 2 decimals per APA style).

pcontrol

A list controlling how p values are formatted.

…

Additional arguments passed to confint. Notably nsim and boot.type if the bootstrap method is used.

Value

a data table of character data

Examples

# NOT RUN {
# }
# NOT RUN {
data(sleepstudy)
m1 <- lme4::lmer(Reaction ~ Days + (1 + Days | Subject),
  data = sleepstudy)
m2 <- lme4::lmer(Reaction ~ Days + I(Days^2) + (1 + Days | Subject),
  data = sleepstudy)

testm1 <- detailedTests(m1, method = "profile")
testm2 <- detailedTests(m2, method = "profile")
formatLMER(list(testm1, testm2))
formatLMER(list(testm1, testm2),
  format = list(
    FixedEffects = "%s, %s (%s, %s)",
    RandomEffects = c("%s", "%s (%s, %s)"),
    EffectSizes = "%s, %s; %s"),
  pcontrol = list(digits = 3, stars = FALSE,
                  includeP = TRUE, includeSign = TRUE,
                  dropLeadingZero = TRUE))
# }