Repeated-measures ANOVA (ezANOVA and/or lme) — continuous_multg

Runs repeated-measures ANOVA per outcome using: (a) ez::ezANOVA with Mauchly's test and sphericity corrections (GG/HF), and/or (b) a multilevel model via nlme::lme (random intercept per subject), assessing fixed effects via nested model comparisons.

Usage

continuous_multg_rm(
  data,
  idvar,
  withinvar,
  dvs = NULL,
  betweenvar = NULL,
  method = c("both", "ez", "lme"),
  correction = c("GG", "HF", "none"),
  flextableformat = TRUE
)

Arguments

data: A data.frame in long format (one row per measurement per subject).
idvar: Character string: subject identifier variable.
withinvar: Character string: within-subject factor (time/condition).
dvs: Character vector of continuous outcome names. If NULL, numeric columns are auto-detected excluding idvar, withinvar, and betweenvar.
betweenvar: (Optional) character string: between-subject factor.
method: One of "both" (default), "ez", or "lme".
correction: Sphericity correction for ezANOVA: "GG" (default), "HF", or "none".
flextableformat: Logical; TRUE (default) returns a flextable; FALSE returns a data.frame.

Value

A flextable or data.frame with, per outcome (DV): n_subjects, within_levels, (between_levels if applicable), p_Mauchly (if applicable), p_ez (raw/corrected), and p_lme for within/between/interaction.

Examples

# Hypothetical example (long format):
# data_long: columns = id, time, group (optional), y1, y2, ...
# continuous_multg_rm(
#   data_long,
#   idvar = "id",
#   withinvar = "time",
#   dvs = c("y1","y2"),
#   betweenvar = "group",
#   method = "both",
#   correction = "GG",
#   flextableformat = FALSE
# )