testdata: Simulated data set for testing purpose

In VIM: Visualization and Imputation of Missing Values

Simulated data set for testing purpose

Description

2 numeric, 2 binary, 2 nominal and 2 mixed (semi-continous) variables

Format

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“

Examples

data(testdata)

VIM documentation built on Aug. 25, 2022, 5:07 p.m.