nhanes: NHANES example - all variables numerical
In mice: Multivariate Imputation by Chained Equations

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A small data set with non-monotone missing values.

A data frame with 25 observations on the following 4 variables.

age: Age group (1=20-39, 2=40-59, 3=60+)
bmi: Body mass index (kg/m**2)
hyp: Hypertensive (1=no,2=yes)
chl: Total serum cholesterol (mg/dL)

A small data set with all numerical variables. The data set nhanes2 is the same data set, but with age and hyp treated as factors.

Schafer, J.L. (1997). Analysis of Incomplete Multivariate Data. London: Chapman & Hall. Table 6.14.

nhanes2

# create 5 imputed data sets
imp <- mice(nhanes)

# print the first imputed data set
complete(imp)

Attaching package: ‘mice’

The following object is masked from ‘package:stats’:

    filter

The following objects are masked from ‘package:base’:

    cbind, rbind


 iter imp variable
  1   1  bmi  hyp  chl
  1   2  bmi  hyp  chl
  1   3  bmi  hyp  chl
  1   4  bmi  hyp  chl
  1   5  bmi  hyp  chl
  2   1  bmi  hyp  chl
  2   2  bmi  hyp  chl
  2   3  bmi  hyp  chl
  2   4  bmi  hyp  chl
  2   5  bmi  hyp  chl
  3   1  bmi  hyp  chl
  3   2  bmi  hyp  chl
  3   3  bmi  hyp  chl
  3   4  bmi  hyp  chl
  3   5  bmi  hyp  chl
  4   1  bmi  hyp  chl
  4   2  bmi  hyp  chl
  4   3  bmi  hyp  chl
  4   4  bmi  hyp  chl
  4   5  bmi  hyp  chl
  5   1  bmi  hyp  chl
  5   2  bmi  hyp  chl
  5   3  bmi  hyp  chl
  5   4  bmi  hyp  chl
  5   5  bmi  hyp  chl
   age  bmi hyp chl
1    1 30.1   1 199
2    2 22.7   1 187
3    1 22.0   1 187
4    3 22.5   1 229
5    1 20.4   1 113
6    3 22.5   1 184
7    1 22.5   1 118
8    1 30.1   1 187
9    2 22.0   1 238
10   2 26.3   2 218
11   1 24.9   1 131
12   2 30.1   1 218
13   3 21.7   1 206
14   2 28.7   2 204
15   1 29.6   1 199
16   1 22.5   1 131
17   3 27.2   2 284
18   2 26.3   2 199
19   1 35.3   1 218
20   3 25.5   2 218
21   1 27.2   1 238
22   1 33.2   1 229
23   1 27.5   1 131
24   3 24.9   1 204
25   2 27.4   1 186