glmm.compute: Compute a GLMM and test it

In CmlMagneville/SmaxNanalysis: What the Package Does (One Line, Title Case)

Compute a GLMM and test it

Description

This function computes a GLMM after studying the Y distribution, give the related ANOVA table and test it

Usage

glmm.compute(
  SmaxN_df,
  Y_var,
  X_var,
  X_var_random,
  family_law,
  check_resid,
  compute_RNakag
)

Arguments

SmaxN_df	a dataframe with the different variables to use in the model
Y_var	the name of the answer variable (name must be the same of the related SmaxN_df column)
X_var	a vector gathering the name of the effect variable(s) (name(s) must be the same of the related SmaxN_df column). Just one or two X var allowed.
X_var_random	a vector gathering the name of the random effect variable(s) (name(s) must be the same of the related SmaxN_df column). If no, NA. BUT the code does not use the names in the vector and uses species_nm if one random effect and species_nm and pose_nb if two random effects.
family_law	the family of the glmm
check_resid	a boolean value (TRUE/FALSE) telling whether the residuals of the model are checked or not
compute_RNakag	a boolean value (TRUE/FALSE) telling whether the Nakagawa's R2 is computing or not

Value

a plot of the repartition of

CmlMagneville/SmaxNanalysis documentation built on Jan. 28, 2024, 11:20 p.m.