cement {monomvn} | R Documentation

## Hald's Cement Data

### Description

Heat evolved in setting of cement, as a function of its chemical composition.

### Usage

    data(cement)
    data(cement.miss)

### Format

A `data.frame` with 13 observations on the following 5 variables.

x1
  percentage weight in clinkers of 3CaO.Al2O3
x2
  percentage weight in clinkers of 3CaO.SiO2
x3
  percentage weight in clinkers of 4CaO.Al2O3.Fe2O3
x4
  percentage weight in clinkers of 2CaO.SiO2
y
  heat evolved (calories/gram)

### Details

`cement.miss` is taken from an example in Little & Rubin's book on Statistical Analysis with Missing Data (2002), pp.~154, for demonstrating estimation of multivariate means and variances when the missing data pattern is monotone. These are indicated by `NA` in `cement.miss`. See the examples section of `monomvn` for a re-working of the example from the textbook

### Source

Woods, H., Steinour, H. H. and Starke, H. R. (1932) Effect of composition of Portland cement on heat evolved during hardening. Industrial Engineering and Chemistry, 24, 1207–1214.

### References

Davison, A. C. (2003) Statistical Models. Cambridge University Press. Page 355.

Draper, N.R. and Smith, H. (1998) Applied Regression Analysis. Wiley. Page 630.

Roderick J.A. Little and Donald B. Rubin (2002). Statistical Analysis with Missing Data, Second Edition. Wilely. Page 154.

http://www.statslab.cam.ac.uk/~bobby/monomvn.html

### See Also

`monomvn` – Several other R packages also include this data set

### Examples

    data(cement)
    lm(y~x1+x2+x3+x4,data=cement)

[Package monomvn version 1.8 Index]