get.at.least.X.groups: Get the value of type one error needed to have X groups.

In priviere/PPBstats: An R package to perform analysis found within PPB programmes

Description

get.at.least.X.groups gets the value of type one error needed to have X groups. X goes from 2 to the maximum number of groups possible.

Usage

get.at.least.X.groups(Mpvalue, MCMC, p.adj = "soft.bonf",
  precision = 5e-04)

Arguments

Mpvalue	A vector or a matrix with the probabilities for two parameters to be equal. It comes from the function comp.parameters
MCMC	MCMC. It is a data frame.
p.adj	NULL for no adjustement of the type one error. "soft.bonf" for a soft bonferonni correction to take into account multiple comparisons (alpha / number of parameters).
precision	The precision of the type one error with the corresponding groups. The smaller the better, but the smaller the more time consuming due to computing matters

Details

This function is helpful to get at least two (or more) groups with a given type one error.

When there is no data, it returns NA. It may depend on the precision. For exemple, if you go from 5 groups to 2 groups, it will be NA for 4 groups and 3 groups because the precision was not small enought.

Value

The function returns a vector with the value of type one error for each group

Author(s)

Pierre Riviere

See Also

• mean_comparisons.check_model_bh_intra_location

• mean_comparisons.check_model_bh_GxE

• mean_comparisons.check_model_bh_variance_intra

priviere/PPBstats documentation built on May 6, 2021, 1:20 a.m.