get.significant.groups: Get significant groups of means that are significantly...

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

Description

get.significant.groups gets significant groups of means that are significantly different from each others for a set of parameters based on MCMC outputs

Usage

get.significant.groups(Mpvalue, MCMC, alpha = 0.05, p.adj = NULL)

Arguments

Mpvalue	Square matrix with the probability of having a common distribution for each pair of parameter. It comes from comp.parameters
MCMC	MCMC. It is a data frame.
alpha	The level of type one error. 0.05 (5%) by default
p.adj	NULL For no adjustement of the pvalue. "soft.bonf" for a soft bonferonni correction to take into account multiple comparisons (alpha / nb of parameters).

Value

The function returns a data frame of four columns and (nb of parameters) rows. Columns are parameters, mean, median and groups

Author(s)

Pierre Riviere

See Also

• mean_comparisons.check_model_bh_intra_location

• mean_comparisons.check_model_bh_GxE

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