chapter_11_table_4 {AMCP} | R Documentation |
The data used in Chapter 11, Table 4
data(chapter_11_table_4)
An object of class data.frame
with 10 rows and 4 columns.
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.
a numeric vector
a numeric vector
a numeric vector
a numeric vector
C11T4
Ken Kelley kkelley@nd.edu
https://designingexperiments.com/data/
Maxwell, S. E., Delaney, H. D., \& Kelley, K. (forthcoming). Designing experiments and analyzing data: A model comparison perspective. (3rd ed.). Routledge.
Maxwell, S. E., Delaney, H. D., \& Kelley, K. (forthcoming). Designing experiments and analyzing data: A model comparison perspective (3rd ed.). Routledge.
# Load the data data(chapter_11_table_4) # Or, alternatively load the data as data(C11T4) # View the structure str(chapter_11_table_4)