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23 lines
1.1 KiB
23 lines
1.1 KiB
#' Accurate Quantiles Using 't-Digests'
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#'
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#' The t-digest construction algorithm uses a variant of 1-dimensional
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#' k-means clustering to produce a very compact data structure that allows
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#' accurate estimation of quantiles. This t-digest data structure can be used
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#' to estimate quantiles, compute other rank statistics or even to estimate
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#' related measures like trimmed means. The advantage of the t-digest over
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#' previous digests for this purpose is that the t-digest handles data with
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#' full floating point resolution. With small changes, the t-digest can handle
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#' values from any ordered set for which we can compute something akin to a mean.
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#' The accuracy of quantile estimates produced by t-digests can be orders of
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#' magnitude more accurate than those produced by previous digest algorithms.
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#'
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#' - URL: <https://gitlab.com/hrbrmstr/tdigest>
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#' - BugReports: <https://gitlab.com/hrbrmstr/tdigest/issues>
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#'
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#' @md
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#' @name tdigest
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#' @docType package
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#' @author Bob Rudis (bob@@rud.is)
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#' @useDynLib tdigest, .registration = TRUE
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#' @importFrom Rcpp sourceCpp
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NULL
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