mean_comparisons performs mean comparisons from object coming from check_model.fit_model_hedonic

# S3 method for check_model_hedonic
mean_comparisons(x, alpha = 0.05,
  p.adj = "none", ...)

Arguments

x

outputs from check_model.fit_model_hedonic

alpha

level of type one error. 0.05 (5%) by default

p.adj

For all except type = 2. NULL for no adjustement of the type one error. p.adj can "holm", "hochberg", "bonferroni", "BH", "BY" or "fdr" p-adj = "none" is t-student. See p.adjust() for more details.

...

further arguments passed to or from other methods#'

Value

A list of two elements :

  • info : a list with variable and data

  • data_ggplot_LSDbarplot_germplasm

Details

S3 method. See in the book for more details : https://priviere.github.io/PPBstats_book/intro-agro.html#section-freq

See also