data_cow_1: A three-treatment crossover trial on milk-yield

In mjg211/xover: Design and analysis of cross-over clinical trials

Description

Quoted from Ratkowsky et al. (1992) (see page 2): "Consider the pair of 3 × 3 Latin squares given in Table 1.1, taken from Cochran and Cox (1957), p. 135. The response variable is milk yield. This pair of squares is an example of a "diagram-balanced" pair, in which each treatment is preceded and followed equally often by each other treatment."

Usage

data_cow_1

Format

A tibble with 18 rows (observations) and 7 columns (variables):

'milk yield'

A continuous outcome measurement. Stored as an integer.

period

The period of the trial corresponding to each observation. Stored as a factor.

subject

The subject corresponding to each observation. Stored as a factor.

treatment

The administered treatment corresponding to each observation. Stored as a factor.

sequence

The treatment sequence for the subject corresponding to each observation. Stored as a factor.

'sequence index'

The treatment sequence index for the subject corresponding to each observation. Stored as a factor.

square

A categorical covariate. Stored as a factor.

Details

Data pertains to a trial with

• 3 treatments;

• 3 periods;

• 6 sequences;

• 6 subjects;

• 1 continuous outcome measurement;

• 1 categorical covariate.

Source

Ratkowsky DA, Evans MA, Alldredge JR (1992) Cross-Over Experiments: Design, Analysis and Application. Marcel Dekker: New York.

mjg211/xover documentation built on Oct. 16, 2019, 10:46 a.m.