summary.ITPlm {fdatest} | R Documentation |
Summarizing Functional-on-Scalar Linear Model Fits
Description
summary
method for class "ITPlm
".
Usage
## S3 method for class 'ITPlm'
summary(object, ...)
Arguments
object |
An object of class " |
... |
Further arguments passed to or from other methods. |
Value
The function summary.ITPlm
computes and returns a list of summary statistics of the fitted functional-on-scalar linear model given in object
, using the component "call
" from its arguments, plus:
ttest |
A |
R2 |
Range of the functional R-squared. |
ftest |
ITP-adjusted minimum p-value of functional F-test. |
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.
K. Abramowicz, S. De Luna, C. Häger, A. Pini, L. Schelin, and S. Vantini (2015). Distribution-Free Interval-Wise Inference for Functional-on-Scalar Linear Models. MOX-report 3/2015, Politecnico di Milano.
See Also
See ITPlmbspline
for fitting and testing the functional linear model and plot.ITPlm
for plots.
See also ITPaovbspline
, ITP1bspline
, ITP2bspline
, ITP2fourier
, ITP2pafourier
.
Examples
# Importing the NASA temperatures data set
data(NASAtemp)
temperature <- rbind(NASAtemp$milan,NASAtemp$paris)
groups <- c(rep(0,22),rep(1,22))
# Performing the ITP
ITP.result <- ITPlmbspline(temperature ~ groups, B=1000,nknots=20)
# Summary of the ITP results
summary(ITP.result)