Methods for detailed display of varrank objects.

# S3 method for varrank
summary(object,digits=3, ...)

Arguments

object

an object of class varrank.

digits

an integer specifying the number of digits to display in the output.

...

additional arguments passed to summary.

Details

digits gives the number of digits that will be displayed in the output. This method differs of print.varrank by the amount of info displayed.

Examples

if (requireNamespace("mlbench", quietly = TRUE)) { library(mlbench) data(PimaIndiansDiabetes) ##forward search for all variables varrank.output <- varrank(data.df = PimaIndiansDiabetes, method = "peng", variable.important = "diabetes", discretization.method = "sturges", algorithm = "forward", scheme = "mid") ##Print summary output of varrank object summary(varrank.output) }
#> | | | 0% | |============ | 17% | |======================= | 33% | |=================================== | 50% | |=============================================== | 67% | |========================================================== | 83% | |======================================================================| 100%Number of variables ranked: 8 #> forward search using peng method #> (mid scheme) #> #> Ordered variables (decreasing importance): #> glucose mass age pedigree insulin pressure pregnant triceps #> Scores 0.187 0.015 -0.016 -0.022 -0.06 -0.073 -0.079 NA #> #> --- #> #> Matrix of scores: #> glucose mass age pedigree insulin pressure pregnant triceps #> glucose 0.187 #> mass 0.092 0.015 #> age 0.085 -0.043 -0.016 #> pedigree 0.031 -0.017 -0.022 -0.022 #> insulin 0.029 -0.121 -0.084 -0.067 -0.06 #> pressure 0.024 -0.059 -0.088 -0.096 -0.082 -0.073 #> pregnant 0.044 -0.033 -0.024 -0.139 -0.107 -0.085 -0.079 #> triceps 0.034 -0.019 -0.138 -0.111 -0.091 -0.113 -0.108