FEV: Forced Expiratory Volume Data.

In R4HCR: R for Health Care Research

Forced Expiratory Volume Data.

Description

Pairs of measurements of Forced Expiratory Volume (FEV), taken a few weeks apart from 20 Scottish schoolchildren.

Usage

FEV

Format

A data frame with 20 observations on the following 3 variables.

child

Child identification number

fev1

First FEV measurement

fev2

Second FEV measurement

Details

The data in table 1 of the original Bland and Altman paper does not correspond to the ANOVA analysis of Table 2. The corrected data does recreate the ANOVA analysis and so is given here.

Source

Corrected data can be found here https://www.bmj.com/content/suppl/1999/03/16/313.7048.41.DC1

References

Bland, JM. & Alman, DG. 1996. Measurement Error and Correlation Coefficients. Br Med J., 313, pp.41-42.

Examples

data(FEV, package="R4HCR")

# reshape to long
FEVl <- reshape(FEV,
                direction = "long",
                idvar = "child",
                varying =list(2:3),
                v.names = "fev")

# one-way ANOVA - as per table 2 of Bland and Altman.
anova(lm(fev ~ factor(child), data = FEVl))

R4HCR documentation built on Sept. 30, 2024, 9:46 a.m.