Description Usage Arguments Value Author(s) References See Also Examples

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.

1 |

`ITP.result` |
Results of the ITP, as created by |

`alpha` |
Level of 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 |

No value returned.
The function produces a graphical output of the ITP results: the p-value heatmap, a plot of the corrected p-values and the plot of the functional data.
The basis components selected as significant by the test at level `alpha`

are highlighted in the plot of the corrected p-values by a gray area.

Alessia pini, Simone Vantini

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 `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.

1 2 3 4 5 6 7 8 9 10 11 | ```
# 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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