#' Output from the zeroOrHundred function with overlap argument = 100 and other
#' default arguments.
#'
#' @title Hundred overlap dataset.
#' @docType data
#' @name hundred
#' @format list of arrays
#' \describe{
#' \item{list names}{The number of points per group.}
#' \item{list elements}{An array containing all repititions of the
#' ClusterSignificance input matrix for the specific points number indicated
#' in the list element name}
#' \item{array dimension 1}{Rows of the input matrix to ClusterSignificance.}
#' \item{array dimension 2}{Columns of the input matrix to ClusterSignificance.}
#' \item{array dimension 3}{The repititions for each points per group amounts.}
#' }
#' @usage hundred
#' @return list of arrays
#' @examples
#' hundred
#'
NULL
#' Output from the zeroOrHundred function with overlap argument = 0 and other
#' default arguments.
#'
#' @title Zero overlap dataset.
#' @docType data
#' @name zero
#' @format list of arrays
#' \describe{
#' \item{list names}{The number of points per group.}
#' \item{list elements}{An array containing all repititions of the
#' ClusterSignificance input matrix for the specific points number indicated
#' in the list element name}
#' \item{array dimension 1}{Rows of the input matrix to ClusterSignificance.}
#' \item{array dimension 2}{Columns of the input matrix to ClusterSignificance.}
#' \item{array dimension 3}{The repititions for each points per group amounts.}
#' }
#' @usage zero
#' @return list of arrays
#' @examples
#' zero
#'
NULL
#' tSNE results from the hematological malagnancies anaysis.
#'
#'
#' @title tSNE results dataset.
#' @docType data
#' @name hemCancData
#' @format data.frame
#' \describe{
#' \item{X1}{The first tSNE dimension.}
#' \item{X2}{The second tSNE dimension.}
#' \item{X3}{The third tSNE dimension.}
#' \item{geo_accession}{The sample GEO accession number.}
#' \item{characteristics_ch1.1}{The samples cancer type.}
#' }
#' @usage hemCancData
#' @return data.frame
#' @examples
#' hemCancData
NULL
#' A character vector of lncRNA ensembl IDs included in the hematological cancer
#' analysis.
#'
#' @title lncRNAs dataset.
#' @docType data
#' @name lncGenes
#' @format character vector
#' @usage lncGenes
#' @return character vector
#' @examples
#' lncGenes
NULL
#' ClusterSignificance permute output from the hematological cancer dataset.
#'
#'
#' @title Hematological malagnancies ClusterSignificance result.
#' @docType data
#' @name pe
#' @format PermutationResults
#' @usage pe
#' @return PermutationResults
#' @examples
#' pe
NULL
#' Output from the sensitivityTest function with default arguments.
#'
#'
#' @title Sensitivity test results dataset.
#' @docType data
#' @name sensitivityTestResults
#' @format data.frame
#' \describe{
#' \item{points}{The number of points per group.}
#' \item{rep}{The repitition.}
#' \item{pValuePcp}{The pValue from ClusterSignificance with 10^4 iterations.}
#' }
#' @usage sensitivityTestResults
#' @return data.frame
#' @examples
#' sensitivityTestResults
NULL
#' Output from the specificityTest function with default arguments.
#'
#'
#' @title Specificity test results dataset.
#' @docType data
#' @name specificityTestResults
#' @format data.frame
#' \describe{
#' \item{points}{The number of points per group.}
#' \item{rep}{The repitition.}
#' \item{pValuePcp}{The pValue from ClusterSignificance with 10^4 iterations.}
#' }
#' @usage specificityTestResults
#' @return data.frame
#' @examples
#' specificityTestResults
NULL
#' ClusterSignificance permute output from the pcpMatrix dataset.
#'
#'
#' @title pcpMatrix permute result.
#' @docType data
#' @name pcpPermutations
#' @format PermutationResults
#' @usage pcpPermutations
#' @return PermutationResults
#' @examples
#' pcpPermutations
NULL
#' Output from overlapProbability function.
#'
#'
#' @title Run with default settings.
#' @docType data
#' @name overlapTable
#' @format data.frame
#' @usage overlapTable
#' @return A table describinf how to set x1 to achieve a specific overlap.
#' @examples
#' overlapTable
NULL
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