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fastcpd_data.R
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fastcpd_data.R
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#' @title Bitcoin Market Price (USD)
#' @format A data frame with 1354 rows and 2 variables:
#' \describe{
#' \item{date}{POSIXct,POSIXt (TZ: "UTC") from 2019-01-02 to 2023-10-28}
#' \item{price}{The average USD market price across major bitcoin exchanges}
#' }
#' @source <https://www.blockchain.com/explorer/charts/market-price>
#' @description The average USD market price across major bitcoin exchanges.
#' @example tests/testthat/examples/data-bitcoin.txt
"bitcoin"
#' @title Transcription Profiling of 57 Human Bladder Carcinoma Samples
#' @format A data frame with 2215 rows and 43 variables:
#' \describe{
#' \item{3}{Individual 3}
#' \item{4}{Individual 4}
#' \item{5}{Individual 5}
#' \item{6}{Individual 6}
#' \item{7}{Individual 7}
#' \item{8}{Individual 8}
#' \item{9}{Individual 9}
#' \item{10}{Individual 10}
#' \item{14}{Individual 14}
#' \item{15}{Individual 15}
#' \item{16}{Individual 16}
#' \item{17}{Individual 17}
#' \item{18}{Individual 18}
#' \item{19}{Individual 19}
#' \item{21}{Individual 21}
#' \item{22}{Individual 22}
#' \item{24}{Individual 24}
#' \item{26}{Individual 26}
#' \item{28}{Individual 28}
#' \item{30}{Individual 30}
#' \item{31}{Individual 31}
#' \item{33}{Individual 33}
#' \item{34}{Individual 34}
#' \item{35}{Individual 35}
#' \item{36}{Individual 36}
#' \item{37}{Individual 37}
#' \item{38}{Individual 38}
#' \item{39}{Individual 39}
#' \item{40}{Individual 40}
#' \item{41}{Individual 41}
#' \item{42}{Individual 42}
#' \item{43}{Individual 43}
#' \item{44}{Individual 44}
#' \item{45}{Individual 45}
#' \item{46}{Individual 46}
#' \item{47}{Individual 47}
#' \item{48}{Individual 48}
#' \item{49}{Individual 49}
#' \item{50}{Individual 50}
#' \item{51}{Individual 51}
#' \item{53}{Individual 53}
#' \item{54}{Individual 54}
#' \item{57}{Individual 57}
#' }
#' @source <https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-TABM-147>
#' @source <https://github.com/cran/ecp/tree/master/data>
#' @description Transcriptome analysis of 57 bladder carcinomas on
#' Affymetrix HG-U95A and HG-U95Av2 microarrays
#' @example tests/testthat/examples/data-transcriptome.txt
"transcriptome"
#' @title Occupancy Detection Data Set
#' @format A data frame with 9752 rows and 7 variables:
#' \describe{
#' \item{date}{Character in the format "YYYY-MM-DD hh:mm:ss" from
#' 2015-02-11 14:48:00 to 2015-02-18 09:19:00}
#' \item{Temperature}{Temperature in Celsius}
#' \item{Humidity}{Humidity}
#' \item{Light}{Light}
#' \item{CO2}{CO2}
#' \item{HumidityRatio}{Humidity Ratio}
#' \item{Occupancy}{Binary variable with values 0 (unoccupied) and 1}
#' }
#' @source <https://github.com/LuisM78/Occupancy-detection-data>
#' @description Data set for binary classification of room occupancy from
#' temperature, humidity, light and CO2 measurements. Ground-truth occupancy
#' was obtained from time stamped pictures that were taken every minute.
"occupancy"
#' @title UK Seatbelts Data
#' @format \code{uk_seatbelts} is a multiple time series, with columns
#' \describe{
#' \item{DriversKilled}{car drivers killed.}
#' \item{front}{front-seat passengers killed or seriously injured.}
#' \item{rear}{rear-seat passengers killed or seriously injured.}
#' \item{kms}{distance driven.}
#' \item{PetrolPrice}{petrol price.}
#' \item{VanKilled}{number of van (‘light goods vehicle’) drivers.}
#' \item{law}{0/1: was the law in effect that month?}
#' }
#' @source R package \pkg{datasets}
#' @description Road Casualties in Great Britain 1969–84.
#' @example tests/testthat/examples/data-uk_seatbelts.R
"uk_seatbelts"
#' @title Well-log Dataset from Numerical Bayesian Methods Applied to
#' Signal Processing
#' @format A Time-Series of length 4050.
#' @source <https://github.com/alan-turing-institute/TCPD>
#' @description This is the well-known well-log dataset used in many changepoint
#' papers obtained from Alan Turing Institute GitHub repository and licensed
#' under the MIT license.
#' @example tests/testthat/examples/data-well_log.R
#' @example tests/testthat/examples/data-well_log-quantile.txt
"well_log"