corr: Compute power for Pearson's Correlation Takes correlation and...
In pwr2ppl: Power Analyses for Common Designs (Power to the People)
corr R Documentation
Compute power for Pearson's Correlation
Takes correlation and range of values
Description
Compute power for Pearson's Correlation
Takes correlation and range of values
Usage
corr(r, nlow, nhigh, alpha = 0.05, tails = 2, by = 1)
Arguments
r
Correlation
nlow
Starting sample size
nhigh
Ending sample size
alpha
Type I error (default is .05)
tails
one or two-tailed tests (default is 2)
by
Incremental increase in sample size from low to high
Value
Power for Pearson's Correlation
Examples
corr(r=.30, nlow=60, nhigh=100,by=2)
pwr2ppl documentation built on Sept. 6, 2022, 5:06 p.m.
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| corr | R Documentation |
Compute power for Pearson's Correlation Takes correlation and range of values
Description
Compute power for Pearson's Correlation Takes correlation and range of values
Usage
corr(r, nlow, nhigh, alpha = 0.05, tails = 2, by = 1)
Arguments
r |
Correlation |
nlow |
Starting sample size |
nhigh |
Ending sample size |
alpha |
Type I error (default is .05) |
tails |
one or two-tailed tests (default is 2) |
by |
Incremental increase in sample size from low to high |
Value
Power for Pearson's Correlation
Examples
corr(r=.30, nlow=60, nhigh=100,by=2)
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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