chapter_11_table_4: The data used in Chapter 11, Table 4

In AMCP: A Model Comparison Perspective

Description

The data used in Chapter 11, Table 4

Usage

data(chapter_11_table_4)

Format

An object of class data.frame with 10 rows and 4 columns.

Details

No analyses are conducted for this data set. The traditional view of a repreated-measures design is to regard it as a two-factor design. Specifically, one factor represents the repeated condition (e.g., time, drug, subtest), whereas the second factor represents subjects. The rationale for this conceptualization can be understood by considering the data in Table 11.4. When the data are displayed this way, the design looks very much like other factorial designs we've already encountered.

Variables

ycond1

a numeric vector

ycond2

a numeric vector

ycond3

a numeric vector

ycond4

a numeric vector

Synonym

C11T4

Author(s)

Ken Kelley [e-mail]

Source

https://designingexperiments.com/data/

Maxwell, S. E., Delaney, H. D., & Kelley, K. (2018). Designing experiments and analyzing data: A model comparison perspective. (3rd ed.). New York, NY: Routledge.

References

Maxwell, S. E., Delaney, H. D., \& Kelley, K. (2018). Designing experiments and analyzing data: A model comparison perspective (3rd ed.). New York, NY: Routledge.

Examples

# Load the data
data(chapter_11_table_4)

# Or, alternatively load the data as
data(C11T4)

# View the structure
str(chapter_11_table_4)

AMCP documentation built on July 25, 2020, 1:07 a.m.