cement: Hald's Cement Data

Description Usage Format Details Source References See Also Examples

Description

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

Usage

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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://bobby.gramacy.com/r_packages/monomvn

See Also

monomvn – Several other R packages also include this data set

Examples

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

Example output

Loading required package: pls

Attaching package: 'pls'

The following object is masked from 'package:stats':

    loadings

Loading required package: lars
Loaded lars 1.2

Loading required package: MASS

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

Coefficients:
(Intercept)           x1           x2           x3           x4  
    62.4054       1.5511       0.5102       0.1019      -0.1441  

monomvn documentation built on Dec. 1, 2019, 1:10 a.m.