ci.corr.is: Correlation Difference from Two (Independent) Samples
In cwendorf/dgb: DGB
ci.corr.is R Documentation
Correlation Difference from Two (Independent) Samples
Description
Computes a confidence interval for a difference in population Pearson correlations from two independent samples.
Arguments
alpha
alpha value for 1-alpha confidence
corr1
sample correlation between y and x in group 1
corr2
sample correlation between y and x in group 2
n1
sample size of group 1
n2
sample size of group 2
Value
LL
lower limit of the confidence interval
UL
upper limit of the confidence interval
cwendorf/dgb documentation built on May 3, 2022, 9:35 p.m.
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| ci.corr.is | R Documentation |
Correlation Difference from Two (Independent) Samples
Description
Computes a confidence interval for a difference in population Pearson correlations from two independent samples.
Arguments
alpha |
alpha value for 1-alpha confidence |
corr1 |
sample correlation between y and x in group 1 |
corr2 |
sample correlation between y and x in group 2 |
n1 |
sample size of group 1 |
n2 |
sample size of group 2 |
Value
LL |
lower limit of the confidence interval |
UL |
upper limit of the confidence interval |
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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