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.
# Performing the ITP for two populations with the B-spline basis
ITP.result <- ITP2bspline(
NASAtemp$milan, NASAtemp$paris,
nknots = 20,
B = 10L
)
# 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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