ITP1fourier: One population Interval Testing Procedure with Fourier basis

In fdatest: Interval Testing Procedure for Functional Data

One population Interval Testing Procedure with Fourier basis

Description

The function implements the Interval Testing Procedure for testing the center of symmetry of a functional population evaluated on a uniform grid. Data are represented by means of the Fourier expansion and the significance of each basis coefficient is tested with an interval-wise control of the Family Wise Error Rate.

Usage

ITP1fourier(data, mu = 0, maxfrequency=floor(dim(data)[2]/2), B = 10000)

Arguments

data	Pointwise evaluations of the functional data set on a uniform grid. data is a matrix of dimensions c(n,J), with J evaluations on columns and n units on rows.
mu	The center of symmetry under the null hypothesis: either a constant (in this case, a constant function is used) or a J-dimensional vector containing the evaluations on the same grid which data are evaluated. The default is mu=0.
maxfrequency	The maximum frequency to be used in the Fourier basis expansion of data. The default is floor(dim(data)[2]/2), leading to an interpolating expansion.
B	The number of iterations of the MC algorithm to evaluate the p-values of the permutation tests. The defualt is B=10000.

Value

ITP1fourier returns an object of class "ITP1".

An object of class "ITP1" is a list containing at least the following components:

basis	String vector indicating the basis used for the first phase of the algorithm. In this case equal to "Fourier".
test	String vector indicating the type of test performed. In this case equal to "1pop".
mu	Center of symmetry under the null hypothesis (as entered by the user).
coeff	Matrix of dimensions c(n,p) of the p coefficients of the Fourier basis expansion. Rows are associated to units and columns to the basis index: the first column is a0, the following (p-1)/2 columns are the ak coefficients (sine coefficients) and the last (p-1)/2 columns the bk coefficients (cosine coefficients).
pval	Uncorrected p-values for each frequency.
pval.matrix	Matrix of dimensions c(p,p) of the p-values of the multivariate tests. The element (i,j) of matrix pval.matrix contains the p-value of the joint NPC test of the components (j,j+1,...,j+(p-i)).
corrected.pval	Corrected p-values for each frequency.
labels	Labels indicating the population membership of each data (in this case always equal to 1).
data.eval	Evaluation on a fine uniform grid of the functional data obtained through the basis expansion.
heatmap.matrix	Heatmap matrix of p-values (used only for plots).

Author(s)

Alessia Pini, Simone Vantini

References

A. Pini and S. Vantini (2013). The Interval Testing Procedure: Inference for Functional Data Controlling the Family Wise Error Rate on Intervals. MOX-report 13/2013, Politecnico di Milano.

See Also

See also ITP1bspline, ITP2bspline, ITP2fourier, ITP2pafourier, and ITPimage.

Examples

# Importing the NASA temperatures data set
data(NASAtemp)
# Performing the ITP
ITP.result <- ITP1fourier(NASAtemp$milan,maxfrequency=20,B=1000)
# Plotting the results of the ITP
plot(ITP.result,main='NASA data',xrange=c(1,365),xlab='Day')

# Plotting the p-value heatmap
ITPimage(ITP.result,abscissa.range=c(1,365))

# Selecting the significant coefficients
which(ITP.result$corrected.pval < 0.05)

fdatest documentation built on May 4, 2022, 9:06 a.m.