pcor: Partial correlation
In bigstatsr: Statistical Tools for Filebacked Big Matrices
pcor R Documentation
Partial correlation
Description
Partial correlation between x and y, after having adjusted both for z.
Usage
pcor(x, y, z, alpha = 0.05)
Arguments
x
A numeric vector.
y
A numeric vector.
z
A data frame, which can contain characters or factors.
alpha
Type-I error for the confidence interval (CI).
Default is 0.05, corresponding to a 95% CI.
Value
The partial correlation, and the lower and upper bounds of its CI.
Examples
pcor(iris[[1]], iris[[2]], iris[-(1:2)])
bigstatsr documentation built on Sept. 11, 2024, 7:08 p.m.
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.
| pcor | R Documentation |
Partial correlation
Description
Partial correlation between x and y, after having adjusted both for z.
Usage
pcor(x, y, z, alpha = 0.05)
Arguments
x |
A numeric vector. |
y |
A numeric vector. |
z |
A data frame, which can contain characters or factors. |
alpha |
Type-I error for the confidence interval (CI).
Default is |
Value
The partial correlation, and the lower and upper bounds of its CI.
Examples
pcor(iris[[1]], iris[[2]], iris[-(1:2)])
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.