fdapace: CreateBWPlot – R documentation

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CreateBWPlot

Functional Principal Component Analysis Bandwidth Diagnostics plot

Description

This function by default creates the mean and first principal modes of variation plots for 50 If provided with a derivative options object (?FPCAder) it will return the differentiated mean and first two principal modes of variation for 50

Usage

CreateBWPlot(fpcaObj, derOptns = NULL, bwMultipliers = NULL)

Arguments

`fpcaObj`	An FPCA class object returned by FPCA().
`derOptns`	A list of options to control the derivation parameters; see ?FPCAder. If NULL standard diagnostics are returned
`bwMultipliers`	A vector of multipliers that the original 'bwMu' and 'bwCov' will be multiplied by. (default: c(0.50, 0.75, 1.00, 1.25, 1.50)) - default: NULL

Examples

set.seed(1)
n <- 40
pts <- seq(0, 1, by=0.05)
sampWiener <- Wiener(n, pts)
sampWiener <- Sparsify(sampWiener, pts, 10)
res1 <- FPCA(sampWiener$Ly, sampWiener$Lt, 
            list(dataType='Sparse', error=FALSE, kernel='epan', verbose=FALSE))
CreateBWPlot(res1)

fdapace

Functional Data Analysis and Empirical Dynamics

v0.5.6

BSD_3_clause + file LICENSE

Authors

Cody Carroll [aut, cre] (<https://orcid.org/0000-0003-3525-8653>), Alvaro Gajardo [aut], Yaqing Chen [aut], Xiongtao Dai [aut], Jianing Fan [aut], Pantelis Z. Hadjipantelis [aut], Kyunghee Han [aut], Hao Ji [aut], Shu-Chin Lin [ctb], Paromita Dubey [ctb], Hans-Georg Mueller [cph, ths, aut], Jane-Ling Wang [cph, ths, aut]

Initial release

2021-01-10,