partial.cor: Partial Correlations

Description Usage Arguments Value Author(s) See Also Examples

View source: R/partial.cor.R

Description

Computes a matrix of partial correlations between each pair of variables controlling for the others.

Usage

1
partial.cor(X, tests=FALSE, use=c("complete.obs", "pairwise.complete.obs"))

Arguments

X

data matrix.

tests

show two-sided p-value and p-value adjusted for multiple testing by Holm's method for each partial correlation?

use

observations to use to compute partial correlations, default is "complete.obs".

Value

Returns the matrix of partial correlations, optionally with adjusted and unadjusted p-values.

Author(s)

John Fox jfox@mcmaster.ca

See Also

cor

Examples

1
2
3
    data(DavisThin, package="car")
    partial.cor(DavisThin)
    partial.cor(DavisThin, tests=TRUE)

Example output

Loading required package: car
Loading required package: sandwich

 Partial correlations:
        DT1      DT2     DT3      DT4     DT5     DT6      DT7
DT1 0.00000  0.03573 0.14209  0.14286 0.01960 0.03525  0.03575
DT2 0.03573  0.00000 0.18503  0.13534 0.20693 0.40200 -0.15650
DT3 0.14209  0.18503 0.00000  0.16761 0.28663 0.07136  0.40139
DT4 0.14286  0.13534 0.16761  0.00000 0.04146 0.14144 -0.07976
DT5 0.01960  0.20693 0.28663  0.04146 0.00000 0.20628  0.13224
DT6 0.03525  0.40200 0.07136  0.14144 0.20628 0.00000  0.33582
DT7 0.03575 -0.15650 0.40139 -0.07976 0.13224 0.33582  0.00000

 Number of observations: 191 

 Partial correlations:
        DT1      DT2     DT3      DT4     DT5     DT6      DT7
DT1 0.00000  0.03573 0.14209  0.14286 0.01960 0.03525  0.03575
DT2 0.03573  0.00000 0.18503  0.13534 0.20693 0.40200 -0.15650
DT3 0.14209  0.18503 0.00000  0.16761 0.28663 0.07136  0.40139
DT4 0.14286  0.13534 0.16761  0.00000 0.04146 0.14144 -0.07976
DT5 0.01960  0.20693 0.28663  0.04146 0.00000 0.20628  0.13224
DT6 0.03525  0.40200 0.07136  0.14144 0.20628 0.00000  0.33582
DT7 0.03575 -0.15650 0.40139 -0.07976 0.13224 0.33582  0.00000

 Number of observations: 191 

 Pairwise two-sided p-values:
    DT1    DT2    DT3    DT4    DT5    DT6    DT7   
DT1        0.6282 0.0530 0.0518 0.7906 0.6329 0.6281
DT2 0.6282        0.0115 0.0655 0.0046 <.0001 0.0329
DT3 0.0530 0.0115        0.0222 <.0001 0.3331 <.0001
DT4 0.0518 0.0655 0.0222        0.5742 0.0541 0.2792
DT5 0.7906 0.0046 <.0001 0.5742        0.0047 0.0720
DT6 0.6329 <.0001 0.3331 0.0541 0.0047        <.0001
DT7 0.6281 0.0329 <.0001 0.2792 0.0720 <.0001       

 Adjusted p-values (Holm's method)
    DT1    DT2    DT3    DT4    DT5    DT6    DT7   
DT1        1.0000 0.6210 0.6210 1.0000 1.0000 1.0000
DT2 1.0000        0.1719 0.6210 0.0782 <.0001 0.4279
DT3 0.6210 0.1719        0.3110 0.0013 1.0000 <.0001
DT4 0.6210 0.6210 0.3110        1.0000 0.6210 1.0000
DT5 1.0000 0.0782 0.0013 1.0000        0.0782 0.6210
DT6 1.0000 <.0001 1.0000 0.6210 0.0782        <.0001
DT7 1.0000 0.4279 <.0001 1.0000 0.6210 <.0001       

RcmdrMisc documentation built on May 29, 2017, 1:53 p.m.