# fanova.onefactor: One-way anova model for functional data In fda.usc: Functional Data Analysis and Utilities for Statistical Computing

 fanova.onefactor R Documentation

## 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@udc.es

### References

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

See Also as: `fanova.RPm`

### 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 documentation built on Oct. 17, 2022, 9:06 a.m.