r2n_crit: Calculate the number of measurements for which a Pearson's r...
In mathesong/relfeas: Reliability for Feasibility Analysis
Description
Usage
Arguments
Value
Examples
Description
There's almost definitely a better way of doing this.
Usage
1
r2n_crit(r, sig.level = 0.05, alternative = "two.sided")
Arguments
r
Pearson's r: correlation coefficient
sig.level
Significance level. Optional: default is 0.05.
alternative
Alternative hypothesis. Optional: default is "two.sided"
Value
The number of measurements for which a Pearson's r is significant
Examples
1
r2n_crit(0.5)
mathesong/relfeas documentation built on March 4, 2020, 5:29 a.m.
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Description Usage Arguments Value Examples
Description
There's almost definitely a better way of doing this.
Usage
1 | r2n_crit(r, sig.level = 0.05, alternative = "two.sided")
|
Arguments
r |
Pearson's r: correlation coefficient |
sig.level |
Significance level. Optional: default is 0.05. |
alternative |
Alternative hypothesis. Optional: default is "two.sided" |
Value
The number of measurements for which a Pearson's r is significant
Examples
1 | r2n_crit(0.5)
|
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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