lazy_analyze: lazy_analyze

In flomuedev/summarize: A collection of helper functions for lazy HCI researchers

lazy_analyze

Description

This function conducts (non-) parametric analyzes of (multi-) factorial experiments

Usage

lazy_analyze(
  lazy_model,
  dv,
  analysis_type = c("aov", "art", "lme", "glme", "friedman"),
  posthoc.adj = "bonf",
  anova.type = 3,
  transformation = NULL,
  family = c(NULL, "poisson", "binomial"),
  nAGQ = NULL,
  lme.formula = NULL,
  emm.type = "response",
  na.rm = FALSE,
  remove.incomplete = FALSE
)

Arguments

lazy_model	the data model
dv	the column name of the dependent variable
analysis_type	one of "aov", "art", "friedman", "lme", "glme".
posthoc.adj	the adjustment method for post-hoc tests. Defaults to "bonf"
anova.type	the type of anova test to perform. Defaults to 3
transformation	(optional) a transformation that should be applied to the data before the test.
family	the family to use for lme or glme.One of "poisson" or "binomial"
nAGQ	the nAGQ argument for glmer
lme.formula	(optional) a formula for glme or lme calls to override the calculated formula.
emm.type	the emm type argument. Defaults to "response"
na.rm	remove na
remove.incomplete	remove incomplete cases before the analysis. Only applies to "art"

flomuedev/summarize documentation built on May 22, 2024, 2:23 a.m.