Rainbow plots, functional bagplot, functional HDR boxplot
Functions and datasets used in the JCGS paper

Functions and datasets for functional data display and
outlier detection.

Rainbow plots, bagplots and boxplots for functional data
R (>= 2.6.0), hdrcde, MASS, pcaPP, cluster

R (>= 2.6.0), hdrcde, ks, MASS, pcaPP, cluster

R (>= 2.10.0), hdrcde, MASS, pcaPP, cluster

R (>= 2.10.0), hdrcde, MASS, pcaPP, cluster, colorspace

Rainbow Plots, Bagplots and Boxplots for Functional Data
Functions and data sets for functional data display and outlier detection.

Bagplots, Boxplots and Rainbow Plots for Functional Data
Visualizing functional data and identifying functional outliers.

c(
person("Han Lin", "Shang", email="hanlin.shang@anu.edu.au", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-1769-6430")),
person("Rob", "Hyndman", role="aut", comment = c(ORCID = "0000-0002-2140-5352"))
)

hdrcde, cluster, colorspace, ks, methods
c(
person("Han Lin", "Shang", email="hanlin.shang@mq.edu.au", role=c("aut", "cre", "cph"), comment = c(ORCID = "0000-0003-1769-6430")),
person("Rob", "Hyndman", role="aut", comment = c(ORCID = "0000-0002-2140-5352"))
)

c(
person("Jiangtao", "Gou", email = "gouRpackage@gmail.com", role = c("aut", "cre")),
person("Fengqing", "Zhang", role = "aut"),
person("Shuyi", "Wu", role = "aut"))
Various statistical and mathematical ranking and rating methods with incomplete information are included. This package is initially designed for the scoring system in a high school project showcase to rank student research projects, where each judge can only evaluate a set of projects in a limited time period. See Langville, A. N. and Meyer, C. D. (2012), Who is Number 1: The Science of Rating and Ranking, Princeton University Press <doi:10.1515/9781400841677>, and Gou, J. and Wu, S. (2020), A Judging System for Project Showcase: Rating and Ranking with Incomplete Information, Technical Report.
Jiangtao Gou [aut, cre],
Fengqing Zhang [aut],
Shuyi Wu [aut]

Obtain and Analyze Rainfall data from the Climate Prediction
Center (CPC)
The Climate Prediction Center's (CPC, www.cpc.ncep.noaa.gov) daily
rainfall data for the entire world, from 1979 to the present, at a
resolution of 50 km (0.5 degrees lat-lon), is one of the few high quality
and long-term observation-based rainfall products available for free. Data
is available at CPC's ftp site
(ftp.cpc.ncep.noaa.gov/precip/CPC_UNI_PRCP/GAUGE_GLB/). However, obtaining
and processing the data is not straightforward - there are too many files
and file formats and file extensions have changed over time. This package
provides functionality to download and process the raw data from CPC.