statsQL: Generate description of factor varaible.
In rgriffier/statsBordeaux: Helpful tool to describe and analyse dataset

A method that generate description of factor variable and perform comparative statistic test in case of comparaison group.

statsQL(
  data,
  variable,
  group = NULL,
  group_str = NULL,
  all = NA_asModality,
  round = 3,
  p_value = FALSE,
  forcedTest = NULL,
  NA_group_AsModality = FALSE,
  NA_asModality = FALSE,
  output = NULL
)

`data`	a data.frame containing the data to describe
`variable`	a character vector of length 1. The name of the factor column to describe.
`group`	a character vector of length 1. The name of the factor column to use as commparaison group. Default to NULL.
`group_str`	a character vector. The name of the levels of the group variable to use. Default to NULL.
`all`	a boolean. If TRUE, total column will be displayed. Default to FALSE
`round`	an integer, number of maximal decimal. Default to 3
`p_value`	a boolean. If TRUE, comparaison test are performed.
`forcedTest`	a character vector of length 1. Must be one of "Pearson's Chi-squared test", "Pearson's Chi-squared test with Yates" or "Fisher's Exact Test for Count Data". Default to NULL.
`NA_group_AsModality`	a boolean. If TRUE, missing data of the group variable will be considered as levels. Default to FALSE
`NA_asModality`	a boolean. If TRUE, missing data of the factor variable to describe will be considered as levels. Default to FALSE
`output`	a data.frame, containing a previously generated data.frame or a new data.frame. data.frame are generated using createOutput() function.