fda.usc: fanova.onefactor – R documentation

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fanova.onefactor

One–way anova model for functional data

Description

One–way anova model for k independent samples of functional data. The function contrasts the null hypothesis of equality of mean functions of functional data based on the an asymptotic version of the anova F–test.

H_0: m_1=,…=m_k,

Usage

fanova.onefactor(
  object,
  group,
  nboot = 100,
  plot = FALSE,
  verbose = FALSE,
  ...
)

Arguments

`object`	functional response data. fdata class object with `n` curves.
`group`	a factor specifying the class for each curve.
`nboot`	number of bootstrap samples.
`plot`	if `TRUE`, plot the mean of each factor level and the results of test.
`verbose`	if `TRUE`, print intermediate results.
`...`	further arguments passed to or from other methods.

Details

The function returns the p–value of test using one–way anova model over nboot runs.

Value

Returns:

p-value probability of rejecting the null hypothesis H0 at a significance level
stat statistic value of test.
wm statistic values of bootstrap resamples.

Note

anova.onefactor deprecated.

Author(s)

Juan A. Cuesta-Albertos, Manuel Febrero-Bande, Manuel Oviedo de la Fuente
manuel.oviedo@usc.es

References

Cuevas, A., Febrero, M., & Fraiman, R. (2004). An anova test for functional data. Computational statistics & data analysis, 47(1), 111-122.

Examples

## Not run: 
data(MCO)
grupo<-MCO$classintact
datos<-MCO$intact
res=fanova.onefactor(datos,grupo,nboot=50,plot=TRUE)
grupo <- MCO$classpermea
datos <- MCO$permea
res=fanova.onefactor(datos,grupo,nboot=50,plot=TRUE)

## End(Not run)

fda.usc

Functional Data Analysis and Utilities for Statistical Computing

v2.0.2

GPL-2

Authors

Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]

Initial release

2020-02-17