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distance: Switch from median to density estimate
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5 changed files with 27 additions and 27 deletions
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#' Find the densest value in the data.
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#'
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#' This function assumes that data represents a continuous variable and finds
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#' a single value with the highest estimated density. This can be used to
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#' estimate the mode of the data. If there is only one value that value is
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#' returned. If multiple density maxima with the same density exist, their mean
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#' is returned.
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#'
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#' @param data The input data.
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#'
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#' @return The densest value of data.
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#'
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#' @export
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densest <- function(data) {
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as.numeric(if (length(data) <= 0) {
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NULL
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} else if (length(data) == 1) {
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data
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} else {
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density <- stats::density(data)
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mean(density$x[density$y == max(density$y)])
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})
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}
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#' Score genes based on their proximity to the reference genes.
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#'
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#' In this case, the distance data that is available for one gene is first
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