ITPimage | R Documentation |
Plotting function creating a graphical output of the ITP: the p-value heat-map, the plot of the corrected p-values, and the plot of the functional data.
ITPimage(ITP.result, alpha = 0.05, abscissa.range = c(0, 1), nlevel = 20)
ITP.result |
Results of the ITP, as created by |
alpha |
Threshold for the interval-wise error rate used for the hypothesis test. The default is |
abscissa.range |
Range of the plot abscissa. The default is |
nlevel |
Number of desired color levels for the p-value heatmap. The default is |
A. Pini and S. Vantini (2017). The Interval Testing Procedure: Inference for Functional Data Controlling the Family Wise Error Rate on Intervals. Biometrics 73(3): 835–845.
See plot.ITP1
, plot.ITP2
, plot.ITPlm
, and plot.ITPaov
for the plot method applied to the ITP results of one- and two-population tests, linear models, and ANOVA, respectively.
See also ITP1bspline
, ITP1fourier
, ITP2bspline
, ITP2fourier
, and ITP2pafourier
for applying the ITP.
# Importing the NASA temperatures data set
data(NASAtemp)
# Performing the ITP for two populations with the B-spline basis
ITP.result <- ITP2bspline(NASAtemp$milan,NASAtemp$paris,nknots=20,B=1000)
# Plotting the results of the ITP
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)
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