wtn_sbj_c: Within-subjects centering
In avrincon/phdfuns: Helper functions for PhD
wtn_sbj_c R Documentation
Within-subjects centering
Description
Centers a number of behaviours within-subjects by subtracting the subject's mean value from each observation value.
Usage
wtn_sbj_c(x, behaviours, subject_var)
Arguments
x
A data frame with different behaviours as different columns.
behaviours
Behaviours/variables to calculate mean and center within-subjects
subject_var
Unquoted name of subjects column in x
Value
A data frame with new columns with means and centered values for each behaviour.
References
van de Pol and Wright (2009). A simple method for distinguishing within- versus between-subject effects using mixed models.
avrincon/phdfuns documentation built on Nov. 13, 2022, 10:34 a.m.
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| wtn_sbj_c | R Documentation |
Within-subjects centering
Description
Centers a number of behaviours within-subjects by subtracting the subject's mean value from each observation value.
Usage
wtn_sbj_c(x, behaviours, subject_var)
Arguments
x |
A data frame with different behaviours as different columns. |
behaviours |
Behaviours/variables to calculate mean and center within-subjects |
subject_var |
Unquoted name of subjects column in x |
Value
A data frame with new columns with means and centered values for each behaviour.
References
van de Pol and Wright (2009). A simple method for distinguishing within- versus between-subject effects using mixed models.
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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