return_curveDist: Returns similarity index between means of two samples of...

In snandi/Registration: Contains functions for registration algorithms, simulation and testing

Description

Returns the similarity index, introduced in fdakma, between means of two samples of curves

Usage

return_curveDist(Mat1, Mat2, argvals, D1 = TRUE)

Arguments

Mat1	Matrix 1 with each column being the discretized version of a separate curve
Mat2	Matrix 2 with each column being the discretized version of a separate curve
argvals	The abscissa, the x-axis or the time-axis. The length of this should be the same as the number of rows of Mat1 and Mat2
D1	TRUE/FALSE whether the matrix contains the curves of derivatives of the curves. TRUE if contains derivatives.

Value

Dist_obs

Distance (or similarity index) between means of the two curve samples

Author(s)

Subhrangshu Nandi; Statistics PhD student, UW Madison; [e-mail] or [e-mail]

See Also

fdakma::kma.similarity, permute_curveDist

Examples

data( growth, package = 'fda' )
Mat1 <- growth[['hgtm']]
Mat2 <- growth[['hgtf']]
Arguments <- growth[['age']]
SimIndex <- return_curveDist(
  Mat1 = Mat1, 
  Mat2 = Mat2, 
  argvals = Arguments
)
SimIndex

snandi/Registration documentation built on May 30, 2019, 5:04 a.m.