get.con.cor: Compute the conventional Pearson's correlation and...
In TwoLittle/fccc: Compute functional correlation and ccc
Description
Usage
Arguments
Value
Examples
Description
For each subject/row, we first obtain the average of all time points
and then compute the conventional Pearson's correlation
coefficient and concordance correlation coefficeint
Usage
1
get.con.cor(X, Y)
Arguments
X:
matrix with columns being time points and rows being subjects
Y:
matrix with columns being time points and rows being subjects, same size as X
Value
rho: conventional Pearson's correlation coefficient
ccc: conventional concordance correlation coefficient
Examples
1
2
3
x = matrix(rnorm(12), 3, 4)
y = matrix(rnorm(12), 3, 4)
get.con.cor(x,y)
TwoLittle/fccc documentation built on June 13, 2020, 10:18 a.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.
Description Usage Arguments Value Examples
Description
For each subject/row, we first obtain the average of all time points and then compute the conventional Pearson's correlation coefficient and concordance correlation coefficeint
Usage
1 | get.con.cor(X, Y)
|
Arguments
X: |
matrix with columns being time points and rows being subjects |
Y: |
matrix with columns being time points and rows being subjects, same size as X |
Value
rho: conventional Pearson's correlation coefficient
ccc: conventional concordance correlation coefficient
Examples
1 2 3 | x = matrix(rnorm(12), 3, 4)
y = matrix(rnorm(12), 3, 4)
get.con.cor(x,y)
|
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.