ros: Region of significance analysis
In clbustos/rcebn: Multiple methods for psychologist
ros R Documentation
Region of significance analysis
Description
Region of significance analysis
Usage
ros(
model,
predictor,
moderador,
points = NULL,
simple_slopes = NULL,
alpha = 0.05
)
Arguments
predictor
Name of predictor variable, as appears on coef calling
moderador
Name of moderator variable, as appears on coef calling
points
Matrix, with first columns values for predictor and second for moderator
simple_slopes
Vector with moderator values
alpha
Level of significance for test
lm
or lmer model
f.test
F-test is valid for all points. If false, t.test would test for one specific point
clbustos/rcebn documentation built on Feb. 2, 2024, 5:55 a.m.
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| ros | R Documentation |
Region of significance analysis
Description
Region of significance analysis
Usage
ros(
model,
predictor,
moderador,
points = NULL,
simple_slopes = NULL,
alpha = 0.05
)
Arguments
predictor |
Name of predictor variable, as appears on coef calling |
moderador |
Name of moderator variable, as appears on coef calling |
points |
Matrix, with first columns values for predictor and second for moderator |
simple_slopes |
Vector with moderator values |
alpha |
Level of significance for test |
lm |
or lmer model |
f.test |
F-test is valid for all points. If false, t.test would test for one specific point |
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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