One population Interval Testing Procedure with B-spline basis

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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 B-spline expansion and the significance of each basis coefficient is tested with an interval-wise control of the Family Wise Error Rate. The default parameters of the basis expansion lead to the piece-wise interpolating function.

Usage

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ITP1bspline(data, mu = 0, order = 2, nknots = dim(data)[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.

order

Order of the B-spline basis expansion. The default is order=2.

nknots

Number of knots of the B-spline basis expansion. The default is nknots=dim(data)[2].

B

The number of iterations of the MC algorithm to evaluate the p-values of the permutation tests. The defualt is B=10000.

Value

ITP1bspline 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 "B-spline".

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 B-spline basis expansion. Rows are associated to units and columns to the basis index.

pval

Uncorrected p-values for each basis coefficient.

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 basis coefficient.

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 ITP1fourier, ITP2bspline, ITP2fourier, ITP2pafourier, and ITPimage.

Examples

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# Importing the NASA temperatures data set
data(NASAtemp)
# Performing the ITP for two populations with the B-spline basis
ITP.result <- ITP1bspline(NASAtemp$paris,mu=4,nknots=50,B=1000)
# Plotting the results of the ITP
plot(ITP.result,xrange=c(0,12),main='Paris temperatures')

# Plotting the p-value heatmap
ITPimage(ITP.result,abscissa.range=c(0,12))


# Selecting the significant components for the radius at 5% level
which(ITP.result$corrected.pval < 0.05)