| chapter_11_table_4 {AMCP} | R Documentation |
The data used in Chapter 11, Table 4
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 kkelley@nd.edu
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)