wrap.t.pair: T test (paired samples)
In michaelkardas/bwrappers: Clean, analyze, and visualize data in the behavioral sciences
wrap.t.pair R Documentation
T test (paired samples)
Description
Performs paired-samples t tests. The function delegates the
primary computations to t.test.
Usage
wrap.t.pair(dv1, dv2, within_variation = TRUE)
Arguments
dv1, dv2
Column vectors containing the dependent variables
within_variation
A logical argument: If TRUE, the function uses within-participants variation when computing the effect size; if FALSE, the function does not use within-participants variation when computing the effect size.
See Also
t.test
Examples
wrap.t.pair(dv1 = bdata$DV3_T1, dv2 = bdata$DV3_T2)
michaelkardas/bwrappers documentation built on Nov. 13, 2022, 1:14 a.m.
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| wrap.t.pair | R Documentation |
T test (paired samples)
Description
Performs paired-samples t tests. The function delegates the
primary computations to t.test.
Usage
wrap.t.pair(dv1, dv2, within_variation = TRUE)
Arguments
dv1, dv2 |
Column vectors containing the dependent variables |
within_variation |
A logical argument: If TRUE, the function uses within-participants variation when computing the effect size; if FALSE, the function does not use within-participants variation when computing the effect size. |
See Also
t.test
Examples
wrap.t.pair(dv1 = bdata$DV3_T1, dv2 = bdata$DV3_T2)
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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