agrupa_ctree: agrupa ctree
In GabyP/agrupaVariables: What the Package Does (One Line, Title Case)

group values of ordinal or categorical variables according to a target variable .

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agrupa_ctree(tbla, target_name, variable_name, flag_numerica,
  max_q_groups = 20, min_q_casos = 100, algoritmo = "chaid",
  niterations = 10000)

`tbla`	table with data. It has to have the variable and the target variable.
`target_name`	name of the target variable.
`variable_name`	name of the variable that you want to analyze.
`flag_numerica`	1 if the variable is numeric (ordinal), 0 if it is a factor
`max_q_groups`	maximum number of groups to split the variable

set.seed(1)
x1 = rnorm(1000)
x2 = rnorm(1000)
x4='A'
x4=ifelse(x1>0.1,'B', x4)
x4=ifelse(x1>0.4,'C', x4 )
x4=ifelse(x1>0.6,'D', x4 )
x4=ifelse(x1>0.8,'E', x4 )
z = 1 + 3*x1
pr = 1/(1+exp(-z))
y = rbinom(1000,1,pr)
tbla = data.frame(y=y,x1=x1,x2=x2, x4=x4)
q_nas=100
x1[1:q_nas] = NA
x4[1:q_nas]=NA
agrupa_ctree (tbla, target_name='y', variable_name='x1',flag_numerica=1, max_q_groups=10, algoritmo='chaid' )
agrupa_ctree (tbla, target_name='y', variable_name='x1',flag_numerica=1, max_q_groups=100, algoritmo='evetree' )
agrupa_ctree (tbla, target_name='y', variable_name='x4',flag_numerica=0 )