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R/relief.R
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NEWS.md
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man/relief.Rd
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@@ -22,9 +22,10 @@
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| 22 | 22 | #' |
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| 23 | 23 | #' Marko Robnik-Sikonja, Igor Kononenko: An adaptation of Relief for attribute estimation in regression. In: Fourteenth International Conference on Machine Learning, 296-304, 1997. |
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| 24 | 24 | #' |
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| 25 | + | #' @details The function and it's manual page taken directly from \pkg{FSelector}: |
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| 26 | + | #' Piotr Romanski and Lars Kotthoff (2018). FSelector: Selecting Attributes. |
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| 27 | + | #' R package version 0.31. https://CRAN.R-project.org/package=FSelector |
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| 25 | 28 | #' |
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| 26 | - | #' @return |
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| 27 | - | #' @export |
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| 28 | 29 | #' |
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| 29 | 30 | #' @examples |
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| 30 | 31 | #' |
@@ -35,9 +36,12 @@
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| 35 | 36 | #' subset <- cut_attrs(weights, 2) |
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| 36 | 37 | #' f <- to_formula(subset, "Species") |
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| 37 | 38 | #' print(f) |
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| 38 | - | #' |
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| 39 | + | #' @export |
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| 39 | 40 | relief <- function(formula, data, x, y, neighboursCount = 5, sampleSize = 10) { |
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| 40 | 41 | ||
| 42 | + | stopifnot(neighboursCount >= 1) |
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| 43 | + | stopifnot(sampleSize >= 1) |
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| 44 | + | ||
| 41 | 45 | if (!xor( |
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| 42 | 46 | all(!missing(x), !missing(y)), |
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| 43 | 47 | all(!missing(formula), !missing(data)))) { |
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Commits
| Files | Coverage |
|---|---|
| R | 0.05% 85.78% |
| inst/include | 96.09% |
| src | 99.42% |
| Project Totals (22 files) | 90.41% |
#86147b03107e10e9906e338c17c54e#862d0b635