Description Usage Arguments Value Examples
Compute the functional Pearson's correlation coefficient and concordance correlation coefficeint of two data sets and the corresponding standard errors.
1 | get.fun.cor(X, Y, W = NULL)
|
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 |
W: |
weight matrix, same size as X and Y. By default, weight is the same for all data points |
rho: functional Pearson's correlation coefficient
ccc: functional concordance correlation coefficient
rho.se: standard error of functional Pearson's correlation coefficient
ccc.se: standard error of functional concordance correlation coefficient
1 2 3 4 |
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