compute_correlation: Compute a Spearman correlation test between two variables
In courtiol/matingRhinos: Analysis of the Mating, Reproductive Success and Their Correlates in White Rhinos
Description
Usage
Arguments
Value
Note
See Also
Examples
Description
This function computes the Spearman correlation between two variables. It is
a simple wrapper around the R function cor.test, with better
display of the output.
Usage
1
compute_correlation(var1, var2)
Arguments
var1
A vector.
var2
A vector.
Value
A vector containing the correlation between two variables, the
p-value of the correlation test, and the sample size after discarding the
missing values.
Note
We set the argument exact to FALSE in the call to cor.test,
so that the presence of ties in some correlation tests would not change
how the p-values are computed (exact tests are not possible in the presence of ties for this implementation of
the test). Otherwise p-values obtained can sometimes be inconsistent across tests (ex: smaller p-values despite higher rho and same sample
size.)
See Also
Examples
1
compute_correlation(var1 = males$Mat_succ, var2 = males$Rep_succ)
courtiol/matingRhinos documentation built on Nov. 22, 2019, 11:10 p.m.
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Description Usage Arguments Value Note See Also Examples
Description
This function computes the Spearman correlation between two variables. It is
a simple wrapper around the R function cor.test, with better
display of the output.
Usage
1 | compute_correlation(var1, var2)
|
Arguments
var1 |
A vector. |
var2 |
A vector. |
Value
A vector containing the correlation between two variables, the p-value of the correlation test, and the sample size after discarding the missing values.
Note
We set the argument exact to FALSE in the call to cor.test,
so that the presence of ties in some correlation tests would not change
how the p-values are computed (exact tests are not possible in the presence of ties for this implementation of
the test). Otherwise p-values obtained can sometimes be inconsistent across tests (ex: smaller p-values despite higher rho and same sample
size.)
See Also
Examples
1 | compute_correlation(var1 = males$Mat_succ, var2 = males$Rep_succ)
|
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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