R/data.R

In andeek/forestr: Random forests with a user created splitting criterion

#' 200 Simulated particles to emulate Higgs boson discovery
#'
#' A dataset containing simulated data produced using Monte Carlo
#' to resemble properties measured by particle detectors in an accelerator
#' to detect the Higgs Boson particle. This dataset created by sampling observations
#' to ensure the percentage of unbalancedness is 5%.
#'
#' @docType data
#' @keywords datasets
#' @name higgs_5
#' @usage data(higgs_5)
#'
#' @format A data frame with 200 rows and 29 variables:
#' \describe{
#'    \item{class}{presence of Higgs boson particle, 1 for signal, 0 for background}
#'    \item{lepton_pT}{low- }
#'    \item{lepton_eta}{low-level feature }
#'    \item{lepton_phi}{low-level feature }
#'    \item{missing_energy_magnitude}{low-level feature }
#'    \item{missing_energy_phi}{low-level feature }
#'    \item{jet_1_pt}{low-level feature }
#'    \item{jet_1_eta}{low-level feature }
#'    \item{jet_1_phi}{low-level feature }
#'    \item{jet_1_b_tag}{low-level feature }
#'    \item{jet_2_pt}{low-level feature }
#'    \item{jet_2_eta}{low-level feature }
#'    \item{jet_2_phi}{low-level feature }
#'    \item{jet_2_b_tag}{low-level feature }
#'    \item{jet_3_pt}{low-level feature }
#'    \item{jet_3_eta}{low-level feature }
#'    \item{jet_3_phi}{low-level feature }
#'    \item{jet_3_b_tag}{low-level feature }
#'    \item{jet_4_pt}{low-level feature }
#'    \item{jet_4_eta}{low-level feature }
#'    \item{jet_4_phi}{low-level feature }
#'    \item{jet_4_b_tag}{low-level feature }
#'    \item{m_jj}{high-level feature }
#'    \item{m_jjj}{high-level feature }
#'    \item{m_lv}{high-level feature }
#'    \item{m_jlv}{high-level feature }
#'    \item{m_bb}{high-level feature }
#'    \item{m_wbb}{high-level feature }
#'    \item{m_wwbb}{high-level feature }
#' }
#' @source \url{https://archive.ics.uci.edu/ml/datasets/HIGGS}
NULL

#' 200 Simulated particles to emulate Higgs boson discovery
#'
#' A dataset containing simulated data produced using Monte Carlo
#' to resemble properties measured by particle detectors in an accelerator
#' to detect the Higgs Boson particle. This dataset created by sampling observations
#' to ensure the percentage of unbalancedness is 10%.
#'
#' @docType data
#' @keywords datasets
#' @name higgs_10
#' @usage data(higgs_10)
#' @format A data frame with 200 rows and 29 variables:
#' \describe{
#'    \item{class}{presence of Higgs boson particle, 1 for signal, 0 for background}
#'    \item{lepton_pT}{low- }
#'    \item{lepton_eta}{low-level feature }
#'    \item{lepton_phi}{low-level feature }
#'    \item{missing_energy_magnitude}{low-level feature }
#'    \item{missing_energy_phi}{low-level feature }
#'    \item{jet_1_pt}{low-level feature }
#'    \item{jet_1_eta}{low-level feature }
#'    \item{jet_1_phi}{low-level feature }
#'    \item{jet_1_b_tag}{low-level feature }
#'    \item{jet_2_pt}{low-level feature }
#'    \item{jet_2_eta}{low-level feature }
#'    \item{jet_2_phi}{low-level feature }
#'    \item{jet_2_b_tag}{low-level feature }
#'    \item{jet_3_pt}{low-level feature }
#'    \item{jet_3_eta}{low-level feature }
#'    \item{jet_3_phi}{low-level feature }
#'    \item{jet_3_b_tag}{low-level feature }
#'    \item{jet_4_pt}{low-level feature }
#'    \item{jet_4_eta}{low-level feature }
#'    \item{jet_4_phi}{low-level feature }
#'    \item{jet_4_b_tag}{low-level feature }
#'    \item{m_jj}{high-level feature }
#'    \item{m_jjj}{high-level feature }
#'    \item{m_lv}{high-level feature }
#'    \item{m_jlv}{high-level feature }
#'    \item{m_bb}{high-level feature }
#'    \item{m_wbb}{high-level feature }
#'    \item{m_wwbb}{high-level feature }
#' }
#' @source \url{https://archive.ics.uci.edu/ml/datasets/HIGGS}
NULL

#' 200 Simulated particles to emulate Higgs boson discovery
#'
#' A dataset containing simulated data produced using Monte Carlo
#' to resemble properties measured by particle detectors in an accelerator
#' to detect the Higgs Boson particle. This dataset created by sampling observations
#' to ensure the percentage of unbalancedness is 25%.
#'
#' @docType data
#' @keywords datasets
#' @name higgs_25
#' @usage data(higgs_25)
#' @format A data frame with 200 rows and 29 variables:
#' \describe{
#'    \item{class}{presence of Higgs boson particle, 1 for signal, 0 for background}
#'    \item{lepton_pT}{low- }
#'    \item{lepton_eta}{low-level feature }
#'    \item{lepton_phi}{low-level feature }
#'    \item{missing_energy_magnitude}{low-level feature }
#'    \item{missing_energy_phi}{low-level feature }
#'    \item{jet_1_pt}{low-level feature }
#'    \item{jet_1_eta}{low-level feature }
#'    \item{jet_1_phi}{low-level feature }
#'    \item{jet_1_b_tag}{low-level feature }
#'    \item{jet_2_pt}{low-level feature }
#'    \item{jet_2_eta}{low-level feature }
#'    \item{jet_2_phi}{low-level feature }
#'    \item{jet_2_b_tag}{low-level feature }
#'    \item{jet_3_pt}{low-level feature }
#'    \item{jet_3_eta}{low-level feature }
#'    \item{jet_3_phi}{low-level feature }
#'    \item{jet_3_b_tag}{low-level feature }
#'    \item{jet_4_pt}{low-level feature }
#'    \item{jet_4_eta}{low-level feature }
#'    \item{jet_4_phi}{low-level feature }
#'    \item{jet_4_b_tag}{low-level feature }
#'    \item{m_jj}{high-level feature }
#'    \item{m_jjj}{high-level feature }
#'    \item{m_lv}{high-level feature }
#'    \item{m_jlv}{high-level feature }
#'    \item{m_bb}{high-level feature }
#'    \item{m_wbb}{high-level feature }
#'    \item{m_wwbb}{high-level feature }
#' }
#' @source \url{https://archive.ics.uci.edu/ml/datasets/HIGGS}
NULL


#' (test) 200 Simulated particles to emulate Higgs boson discovery
#'
#' A dataset containing simulated data produced using Monte Carlo
#' to resemble properties measured by particle detectors in an accelerator
#' to detect the Higgs Boson particle. This dataset created by sampling observations
#' to ensure the percentage of unbalancedness is 5%.
#'
#' @docType data
#' @keywords datasets
#' @name test_higgs_5
#' @usage data(test_higgs_5)
#'
#' @format A data frame with 200 rows and 29 variables:
#' \describe{
#'    \item{class}{presence of Higgs boson particle, 1 for signal, 0 for background}
#'    \item{lepton_pT}{low- }
#'    \item{lepton_eta}{low-level feature }
#'    \item{lepton_phi}{low-level feature }
#'    \item{missing_energy_magnitude}{low-level feature }
#'    \item{missing_energy_phi}{low-level feature }
#'    \item{jet_1_pt}{low-level feature }
#'    \item{jet_1_eta}{low-level feature }
#'    \item{jet_1_phi}{low-level feature }
#'    \item{jet_1_b_tag}{low-level feature }
#'    \item{jet_2_pt}{low-level feature }
#'    \item{jet_2_eta}{low-level feature }
#'    \item{jet_2_phi}{low-level feature }
#'    \item{jet_2_b_tag}{low-level feature }
#'    \item{jet_3_pt}{low-level feature }
#'    \item{jet_3_eta}{low-level feature }
#'    \item{jet_3_phi}{low-level feature }
#'    \item{jet_3_b_tag}{low-level feature }
#'    \item{jet_4_pt}{low-level feature }
#'    \item{jet_4_eta}{low-level feature }
#'    \item{jet_4_phi}{low-level feature }
#'    \item{jet_4_b_tag}{low-level feature }
#'    \item{m_jj}{high-level feature }
#'    \item{m_jjj}{high-level feature }
#'    \item{m_lv}{high-level feature }
#'    \item{m_jlv}{high-level feature }
#'    \item{m_bb}{high-level feature }
#'    \item{m_wbb}{high-level feature }
#'    \item{m_wwbb}{high-level feature }
#' }
#' @source \url{https://archive.ics.uci.edu/ml/datasets/HIGGS}
NULL

#' (test) 200 Simulated particles to emulate Higgs boson discovery
#'
#' A test dataset containing simulated data produced using Monte Carlo
#' to resemble properties measured by particle detectors in an accelerator
#' to detect the Higgs Boson particle. This dataset created by sampling observations
#' to ensure the percentage of unbalancedness is 10%.
#'
#' @docType data
#' @keywords datasets
#' @name test_higgs_10
#' @usage data(test_higgs_10)
#'
#' @format A data frame with 200 rows and 29 variables:
#' \describe{
#'    \item{class}{presence of Higgs boson particle, 1 for signal, 0 for background}
#'    \item{lepton_pT}{low- }
#'    \item{lepton_eta}{low-level feature }
#'    \item{lepton_phi}{low-level feature }
#'    \item{missing_energy_magnitude}{low-level feature }
#'    \item{missing_energy_phi}{low-level feature }
#'    \item{jet_1_pt}{low-level feature }
#'    \item{jet_1_eta}{low-level feature }
#'    \item{jet_1_phi}{low-level feature }
#'    \item{jet_1_b_tag}{low-level feature }
#'    \item{jet_2_pt}{low-level feature }
#'    \item{jet_2_eta}{low-level feature }
#'    \item{jet_2_phi}{low-level feature }
#'    \item{jet_2_b_tag}{low-level feature }
#'    \item{jet_3_pt}{low-level feature }
#'    \item{jet_3_eta}{low-level feature }
#'    \item{jet_3_phi}{low-level feature }
#'    \item{jet_3_b_tag}{low-level feature }
#'    \item{jet_4_pt}{low-level feature }
#'    \item{jet_4_eta}{low-level feature }
#'    \item{jet_4_phi}{low-level feature }
#'    \item{jet_4_b_tag}{low-level feature }
#'    \item{m_jj}{high-level feature }
#'    \item{m_jjj}{high-level feature }
#'    \item{m_lv}{high-level feature }
#'    \item{m_jlv}{high-level feature }
#'    \item{m_bb}{high-level feature }
#'    \item{m_wbb}{high-level feature }
#'    \item{m_wwbb}{high-level feature }
#' }
#' @source \url{https://archive.ics.uci.edu/ml/datasets/HIGGS}
NULL

#' (test) 200 Simulated particles to emulate Higgs boson discovery
#'
#' A test dataset containing simulated data produced using Monte Carlo
#' to resemble properties measured by particle detectors in an accelerator
#' to detect the Higgs Boson particle. This dataset created by sampling observations
#' to ensure the percentage of unbalancedness is 25%.
#'
#' @docType data
#' @keywords datasets
#' @name test_higgs_25
#' @usage data(test_higgs_25)
#'
#' @format A data frame with 200 rows and 29 variables:
#' \describe{
#'    \item{class}{presence of Higgs boson particle, 1 for signal, 0 for background}
#'    \item{lepton_pT}{low- }
#'    \item{lepton_eta}{low-level feature }
#'    \item{lepton_phi}{low-level feature }
#'    \item{missing_energy_magnitude}{low-level feature }
#'    \item{missing_energy_phi}{low-level feature }
#'    \item{jet_1_pt}{low-level feature }
#'    \item{jet_1_eta}{low-level feature }
#'    \item{jet_1_phi}{low-level feature }
#'    \item{jet_1_b_tag}{low-level feature }
#'    \item{jet_2_pt}{low-level feature }
#'    \item{jet_2_eta}{low-level feature }
#'    \item{jet_2_phi}{low-level feature }
#'    \item{jet_2_b_tag}{low-level feature }
#'    \item{jet_3_pt}{low-level feature }
#'    \item{jet_3_eta}{low-level feature }
#'    \item{jet_3_phi}{low-level feature }
#'    \item{jet_3_b_tag}{low-level feature }
#'    \item{jet_4_pt}{low-level feature }
#'    \item{jet_4_eta}{low-level feature }
#'    \item{jet_4_phi}{low-level feature }
#'    \item{jet_4_b_tag}{low-level feature }
#'    \item{m_jj}{high-level feature }
#'    \item{m_jjj}{high-level feature }
#'    \item{m_lv}{high-level feature }
#'    \item{m_jlv}{high-level feature }
#'    \item{m_bb}{high-level feature }
#'    \item{m_wbb}{high-level feature }
#'    \item{m_wwbb}{high-level feature }
#' }
#' @source \url{https://archive.ics.uci.edu/ml/datasets/HIGGS}
NULL