fdapace: CreateDesignPlot – R documentation

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CreateDesignPlot

Create design plots for functional data. See Yao, F., Müller, H.G., Wang, J.L. (2005). Functional data analysis for sparse longitudinal data. J. American Statistical Association 100, 577-590 for interpretation and usage of these plots. This function will open a new device as default.

Description

Usage

CreateDesignPlot(
  Lt,
  obsGrid = NULL,
  isColorPlot = TRUE,
  noDiagonal = TRUE,
  addLegend = TRUE,
  ...
)

Arguments

`Lt`	a list of observed time points for functional data
`obsGrid`	a vector of sorted observed time points. Default are the unique time points in Lt.
`isColorPlot`	an option for colorful plot: TRUE: create color plot with color indicating counts FALSE: create black and white plot with dots indicating observed time pairs
`noDiagonal`	an option specifying plotting the diagonal design points: TRUE: remove diagonal time pairs FALSE: do not remove diagonal time pairs
`addLegend`	Logical, default TRUE
`...`	Other arguments passed into `plot()`.

Examples

set.seed(1)
n <- 20
pts <- seq(0, 1, by=0.05)
sampWiener <- Wiener(n, pts)
sampWiener <- Sparsify(sampWiener, pts, 10)
CreateDesignPlot(sampWiener$Lt, sort(unique(unlist(sampWiener$Lt))))

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,