funmad: The functional normalized median absolute deviation...
In rofanova: Robust Functional Analysis of Variance
Description
Usage
Arguments
Value
References
See Also
Examples
Description
Compute the functional normalized median absolute deviation (FuNMAD) estimator as described in Centofanti et al. (2021).
Usage
1
Arguments
X
Either an object of class fdata for monodimensional functional data or an object of class fdata2d for bi-dimensional functional data.
...
Additional argument to be passed to fusem.
Value
The FuNMAD estimator.
References
Centofanti, F., Colosimo, B.M., Grasso, M.L., Menafoglio, A., Palumbo, B., Vantini, S. (2021).
Robust Functional ANOVA with Application to Additive Manufacturing.
arXiv preprint arXiv:2112.10643.
See Also
Examples
1
2
3
4
library(rofanova)
data_out<-simulate_data(scenario="one-way")
X_fdata<-data_out$X_fdata
per_list_median<-funmad(X_fdata)
rofanova documentation built on Jan. 22, 2022, 1:06 a.m.
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Description Usage Arguments Value References See Also Examples
Description
Compute the functional normalized median absolute deviation (FuNMAD) estimator as described in Centofanti et al. (2021).
Usage
1 |
Arguments
X |
Either an object of class |
... |
Additional argument to be passed to |
Value
The FuNMAD estimator.
References
Centofanti, F., Colosimo, B.M., Grasso, M.L., Menafoglio, A., Palumbo, B., Vantini, S. (2021). Robust Functional ANOVA with Application to Additive Manufacturing. arXiv preprint arXiv:2112.10643.
See Also
Examples
1 2 3 4 | library(rofanova)
data_out<-simulate_data(scenario="one-way")
X_fdata<-data_out$X_fdata
per_list_median<-funmad(X_fdata)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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