View source: R/summary.IWTlm.R
summary.IWTlm | R Documentation |
summary
method for class "IWTlm
".
Function returning a summary of the results of IWT for the test on a functional linear model:
minimum IWT-adjusted p-values of the F-tests on the whole model and of t-tests on all covariates' effects are reported.
## S3 method for class 'IWTlm'
summary(object, ...)
object |
An object of class " |
... |
Further arguments passed to or from other methods.. |
No value returned.
The function summary.IWTlm
computes and returns a list of
summary statistics of the fitted functional analysis of variance
given in object
, using the component "call
" from its
arguments, plus:
ttest |
A |
R2 |
Range of the functional R-squared. |
ftest |
IWT-adjusted minimum p-value of functional F-test. |
Pini, A., & Vantini, S. (2017). Interval-wise testing for functional data. Journal of Nonparametric Statistics, 29(2), 407-424
Pini, A., Vantini, S., Colosimo, B. M., & Grasso, M. (2018). Domain‐selective functional analysis of variance for supervised statistical profile monitoring of signal data. Journal of the Royal Statistical Society: Series C (Applied Statistics) 67(1), 55-81.
Abramowicz, K., Hager, C. K., Pini, A., Schelin, L., Sjostedt de Luna, S., & Vantini, S. (2018). Nonparametric inference for functional‐on‐scalar linear models applied to knee kinematic hop data after injury of the anterior cruciate ligament. Scandinavian Journal of Statistics 45(4), 1036-1061.
IWTimage
for the plot of p-values heatmaps.
plot.IWTlm
for the plot of regression results.
See also IWT1
, IWT2
to perform the ITP to test on the mean of one population and test of differences between two populations.
See ITPlmbspline
for functional linear model based on B-spline basis representation
# Importing the NASA temperatures data set
data(NASAtemp)
temperature <- rbind(NASAtemp$milan,NASAtemp$paris)
groups <- c(rep(0,22),rep(1,22))
# Performing the IWT
IWT.result <- IWTlm(temperature ~ groups,B=1000)
# Summary of the IWT results
summary(IWT.result)
# Plot of the IWT results
layout(1)
plot(IWT.result)
# All graphics on the same device
layout(matrix(1:4,nrow=2,byrow=FALSE))
plot(IWT.result,main='NASA data', plot_adjpval = TRUE,xlab='Day',xrange=c(1,365))
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