dataAnova_sp: Data for a Split-Plot ANOVA
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dataAnova_sp R Documentation
Data for a Split-Plot ANOVA
Description
A study of four different pre-workout supplements analyzed their effectiveness in terms of the number of repetitions of a given exercise and weight. Each of 14 participants were randomly assigned to one of two groups: Hi quality Food, a nutritious breakfast, and Low quality Food, a less nutritious breakfast. Each group of 7 participants took all four Supplements, each in randomized order, one for each workout. The result is a total of 28 data values for each group, 56 data values overall.
Type of Supplements is a within- groups treatment variable. The other treatment variable, Food quality, is a between-groups treatment variable.
Format
A data table with 56 rows of data and 4 columns: Person, Food, Supplement, and Reps.
Author(s)
David W. Gerbing (Portland State University; gerbing@pdx.edu)
Source
author
References
Gerbing, D. W. (later in 2022). R Data Analysis without Programming, 2nd Edition, Chapter 7, NY: Routledge.
Gerbing, D. W. (2021). Enhancement of the Command-Line Environment for use in the Introductory Statistics Course and Beyond, Journal of Statistics and Data Science Education, 29(3), 251-266, https://www.tandfonline.com/doi/abs/10.1080/26939169.2021.1999871.
Examples
d <- Read("Anova_sp")
fit <- aov(Reps ~ (Food*Supplement) + Error(Person/Food), data=d)
summary(fit)
lessR documentation built on Nov. 12, 2023, 1:08 a.m.
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| dataAnova_sp | R Documentation |
Data for a Split-Plot ANOVA
Description
A study of four different pre-workout supplements analyzed their effectiveness in terms of the number of repetitions of a given exercise and weight. Each of 14 participants were randomly assigned to one of two groups: Hi quality Food, a nutritious breakfast, and Low quality Food, a less nutritious breakfast. Each group of 7 participants took all four Supplements, each in randomized order, one for each workout. The result is a total of 28 data values for each group, 56 data values overall.
Type of Supplements is a within- groups treatment variable. The other treatment variable, Food quality, is a between-groups treatment variable.
Format
A data table with 56 rows of data and 4 columns: Person, Food, Supplement, and Reps.
Author(s)
David W. Gerbing (Portland State University; gerbing@pdx.edu)
Source
author
References
Gerbing, D. W. (later in 2022). R Data Analysis without Programming, 2nd Edition, Chapter 7, NY: Routledge.
Gerbing, D. W. (2021). Enhancement of the Command-Line Environment for use in the Introductory Statistics Course and Beyond, Journal of Statistics and Data Science Education, 29(3), 251-266, https://www.tandfonline.com/doi/abs/10.1080/26939169.2021.1999871.
Examples
d <- Read("Anova_sp")
fit <- aov(Reps ~ (Food*Supplement) + Error(Person/Food), data=d)
summary(fit)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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