design_formula: Get the GLM formula for a factorially-designed experiment
In dalejbarr/funfact: Functions for factorial experiments
Description
Usage
Arguments
Value
Description
Get the formula corresponding to the general linear model for a
factorially designed experiment, with maximal random effects.
Usage
1
2
design_formula(design_args, n_subj = NULL, dv_name = NULL,
lme4_format = TRUE)
Arguments
design_args
A list with experimental design information (see link{stim_lists})
n_subj
Number of subjects
dv_name
Name of dependent variable; NULL (default) for one-sided formula
lme4_format
Do you want the results combined as the model formula for a lme4 model? (default TRUE)
Value
A formula, character string, or list, depending
dalejbarr/funfact documentation built on May 14, 2019, 3:31 p.m.
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Description Usage Arguments Value
Description
Get the formula corresponding to the general linear model for a factorially designed experiment, with maximal random effects.
Usage
1 2 | design_formula(design_args, n_subj = NULL, dv_name = NULL,
lme4_format = TRUE)
|
Arguments
design_args |
A list with experimental design information (see |
n_subj |
Number of subjects |
dv_name |
Name of dependent variable; |
lme4_format |
Do you want the results combined as the model formula for a |
Value
A formula, character string, or list, depending
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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