Description Usage Arguments Value Author(s) Examples
Computes Mutliple Correlation Coefficient between one variable and a set of variables
1 | 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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## 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
|
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