two_factor_crossed: Complete Two-Factor Experiment
In contrast: A Collection of Contrast Methods
two_factor_crossed R Documentation
Complete Two-Factor Experiment
Description
Complete Two-Factor Experiment
Details
A gene expression experiment was run to assess the effect of a compound
under two different diets: high fat and low fat. The main comparisons of
interest are the difference between the treated and untreated groups within
a diet. The interaction effect was a secondary hypothesis. For illustration,
we only include the expression value of one of the genes. The study design
was a full two-way factorial with n = 24 samples.
Value
two_factor_crossed
A data frame
Examples
two_factor_crossed
contrast documentation built on Oct. 6, 2022, 1:07 a.m.
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| two_factor_crossed | R Documentation |
Complete Two-Factor Experiment
Description
Complete Two-Factor Experiment
Details
A gene expression experiment was run to assess the effect of a compound
under two different diets: high fat and low fat. The main comparisons of
interest are the difference between the treated and untreated groups within
a diet. The interaction effect was a secondary hypothesis. For illustration,
we only include the expression value of one of the genes. The study design
was a full two-way factorial with n = 24 samples.
Value
two_factor_crossed |
A data frame |
Examples
two_factor_crossed
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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