wrap.t.ind: Independent-samples t test
In michaelkardas/behavioralwrappers: Wrappers and other functions for the behavioral sciences
Description
Usage
Arguments
See Also
Examples
Description
Performs independent-samples t tests. The function delegates
the primary computations to t.test.
Usage
1
wrap.t.ind(dv1, iv1, var.equal = T)
Arguments
dv1
Column vector containing the dependent variable
iv1
Column vector containing the independent variable
var.equal
A logical argument: If TRUE, the function assumes equal variance across conditions; if FALSE, the function does not assume equal variance
See Also
Examples
1
wrap.t.ind(dv1 = bdata$DV1, iv1 = bdata$IV1)
michaelkardas/behavioralwrappers documentation built on Jan. 2, 2020, 7:46 a.m.
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Description Usage Arguments See Also Examples
Description
Performs independent-samples t tests. The function delegates
the primary computations to t.test.
Usage
1 | wrap.t.ind(dv1, iv1, var.equal = T)
|
Arguments
dv1 |
Column vector containing the dependent variable |
iv1 |
Column vector containing the independent variable |
var.equal |
A logical argument: If TRUE, the function assumes equal variance across conditions; if FALSE, the function does not assume equal variance |
See Also
Examples
1 | wrap.t.ind(dv1 = bdata$DV1, iv1 = bdata$IV1)
|
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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