A multivariate data set with missing values.

Description

The missvals data frame has 13 rows and 5 columns. These are data from Draper and Smith (1968), and are included to demonstrate ML estimation of mean and variance-covariance parameters of multivaraite normal data when some observations are missing.

Format

This data frame contains the following columns:

x1,x2,x3,x4,x5

numeric vectors

Details

These data constitute Table 6.4 in Little and Rubin (1987). They are analyzed both in Rubin (1976) and Little and Rubin (1987).

Source

Draper, N. R., and Smith, H. (1968). Applied Regression Analysis. New York: Wiley.

Little, R. J. A., and Rubin, D. B. (1987) Statistical Analysis with Missing Data. New York: Wiley.

Rubin, D. B. (1976) Comparing regressions when some predictor variables are missing. Psychometrika 43, 3–10.

Examples

library(mvnmle)
data(missvals)

mlest(missvals, iterlim=400)

Results