2 numeric, 2 binary, 2 nominal and 2 mixed (semi-continous) variables
The format is: List of 4
$wna : a data.frame with 500 obs. of 8 variables:
x1: numeric 10.87 9.53 7.83 8.53 8.67 ...
x2: numeric 10.9 9.32 7.68 8.2 8.41 ... ..
c1: Factor w/ 4 levels "a","b","c","d": 3 2 2 1 2 2 1 3 3 2 ...
c2: Factor w/ 4 levels "a","b","c","d": 2 3 2 2 2 2 2 4 2 2 ...
b1: Factor w/ 2 levels "0","1": 2 2 1 2 1 2 1 2 1 1 ...
b2: Factor w/ 2 levels "0","1": 2 2 1 1 1 1 1 2 2 2 ...
m1: numeric 0 8.29 9.08 0 0 ...
m2: numeric 10.66 9.39 7.8 8.11 7.33 ...
$wona : a `data.frame“ with 500 obs. of 8 variables:
x1: numeric 10.87 9.53 7.83 8.53 8.67 ...
x2: numeric 10.9 9.32 7.68 8.2 8.41 ...
c1: Factor w/ 4 levels "a","b","c","d": 3 2 2 1 2 2 1 3 3 2 ...
c2: Factor w/ 4 levels "a","b","c","d": 2 3 2 2 2 2 2 4 2 2 ...
b1: Factor w/ 2 levels "0","1": 2 2 1 2 1 2 1 2 1 1 ...
b2: Factor w/ 2 levels "0","1": 2 2 1 1 1 1 1 2 2 2 ...
m1: numeric 0 8.29 9.08 0 0 ...
m2: numeric 10.66 9.39 7.8 8.11 7.33 ...
$mixed: c("m1", "m2")
$outlierInd: `NULL“
data(testdata)