| Title: | Multiple Correlation |
|---|---|
| Description: | Computes multiple correlation coefficient when the data matrix is given and tests its significance. |
| Authors: | Abirami S |
| Maintainer: | Abirami S <[email protected]> |
| License: | GPL-2 |
| Version: | 0.1.1 |
| Built: | 2024-12-07 06:32:37 UTC |
| Source: | CRAN |
Computes Mutliple Correlation Coefficient between one variable and a set of variables
mcr(dda, ld, rd, rawdata = T)mcr(dda, ld, rd, rawdata = T)
dda |
Data |
ld |
Dependent Variable |
rd |
vector of independent variables |
rawdata |
a boolean variable taking F if the input is a correlation matrix T if it is data matrix |
Returns the value of Multiple Correlation between dependent and independent variables
Abirami S
## Example 1: mcr(iris[,-5],1,c(2,3,4)) ## Returns multiple correlation between Sepal.Length ## and the other variables ## Example 2 mu<-c(10,12,13,14) sig<-matrix(0,4,4) diag(sig)<-c(2,1,1,3) da<-MASS::mvrnorm(25,mu,sig) mcr(da, 2,c(1,3,4)) ## Returns Multiple correlation when the data matrix ## simulated from a quadrivariate normal distribution ## is given as input ## Example 3 da<-var(iris[,-5]) mcr(da,3,c(1,2,4),FALSE) ## Returns multiple correlation between Petal.Width ## and the other variables when the correlation matrix ## is given as input## Example 1: mcr(iris[,-5],1,c(2,3,4)) ## Returns multiple correlation between Sepal.Length ## and the other variables ## Example 2 mu<-c(10,12,13,14) sig<-matrix(0,4,4) diag(sig)<-c(2,1,1,3) da<-MASS::mvrnorm(25,mu,sig) mcr(da, 2,c(1,3,4)) ## Returns Multiple correlation when the data matrix ## simulated from a quadrivariate normal distribution ## is given as input ## Example 3 da<-var(iris[,-5]) mcr(da,3,c(1,2,4),FALSE) ## Returns multiple correlation between Petal.Width ## and the other variables when the correlation matrix ## is given as input
Tests the significance of mutliple correlation coefficient
mcr.test(x, ld, rd)mcr.test(x, ld, rd)
x |
Data Matrix or Variance Covariance or Correlation matrix |
ld |
Label of dependent Variable |
rd |
Vector of labels of independent variables |
a htest class object
Abirami S
## Example library(MASS) mu<-c(10,12,13,14) sig<-matrix(0,4,4) diag(sig)<-c(2,1,1,2) da<-mvrnorm(25,mu,sig) mcr.test(da,1,c(2:4))## Example library(MASS) mu<-c(10,12,13,14) sig<-matrix(0,4,4) diag(sig)<-c(2,1,1,2) da<-mvrnorm(25,mu,sig) mcr.test(da,1,c(2:4))