outlier_mad.RdPerforms a median absolute deviation (MAD) test for outliers.
outlier_mad( x, mask = !is.na(x), threshold = c(1.5, 3), k = 1/qnorm(0.75), return.score = FALSE )
| x | A vector of data. |
|---|---|
| mask | A logical vector that defines which values in |
| threshold | A length-two vector identifying thresholds for "mild" and "extreme" outliers. |
| k | A scale factor, defined as the reciprocal of the 75th percentile of the underlying distribution of the data. Default assumes a normal distribution. |
| return.score | if |
the values of threshold identify the thresholds used to
identify mild and extreme outliers, as a multiple of
k * median(x). Default values are 1.5 for "mild" outliers and
3.0 for "extreme" outliers.
x = seq(0, 34, by = 0.25)*pi noise = rnorm(length(x), mean = 1, sd = 3) y = sin(x) + noise mask = noise < 1 outlier_mad(y)#> [1] not outlier not outlier not outlier not outlier #> [5] not outlier not outlier not outlier not outlier #> [9] not outlier not outlier not outlier not outlier #> [13] mild outlier not outlier mild outlier not outlier #> [17] not outlier not outlier mild outlier not outlier #> [21] not outlier not outlier not outlier not outlier #> [25] not outlier not outlier not outlier not outlier #> [29] not outlier not outlier not outlier not outlier #> [33] mild outlier not outlier not outlier not outlier #> [37] not outlier not outlier mild outlier not outlier #> [41] not outlier not outlier not outlier not outlier #> [45] not outlier not outlier not outlier not outlier #> [49] not outlier not outlier mild outlier not outlier #> [53] mild outlier not outlier not outlier not outlier #> [57] not outlier not outlier not outlier not outlier #> [61] not outlier not outlier mild outlier mild outlier #> [65] not outlier not outlier not outlier not outlier #> [69] not outlier not outlier not outlier not outlier #> [73] not outlier not outlier not outlier not outlier #> [77] not outlier mild outlier not outlier not outlier #> [81] not outlier not outlier not outlier not outlier #> [85] not outlier not outlier not outlier not outlier #> [89] not outlier not outlier not outlier not outlier #> [93] mild outlier mild outlier extreme outlier not outlier #> [97] not outlier not outlier not outlier not outlier #> [101] not outlier not outlier not outlier not outlier #> [105] mild outlier not outlier not outlier not outlier #> [109] not outlier not outlier not outlier not outlier #> [113] not outlier mild outlier mild outlier not outlier #> [117] not outlier not outlier mild outlier mild outlier #> [121] mild outlier not outlier not outlier not outlier #> [125] not outlier mild outlier mild outlier not outlier #> [129] not outlier not outlier not outlier not outlier #> [133] not outlier not outlier not outlier not outlier #> [137] not outlier #> Levels: not outlier < not evaluated < mild outlier < extreme outlieroutlier_mad(y, mask)#> [1] not outlier not outlier not outlier not outlier not outlier #> [6] not outlier not outlier not outlier not outlier not outlier #> [11] not outlier not outlier not outlier not outlier not outlier #> [16] not outlier not outlier not outlier mild outlier not outlier #> [21] not outlier not outlier not outlier not outlier not outlier #> [26] not outlier not outlier not outlier not outlier not outlier #> [31] not outlier not outlier mild outlier not outlier not outlier #> [36] not outlier not outlier not outlier not outlier not outlier #> [41] not outlier not outlier not outlier mild outlier mild outlier #> [46] not outlier not outlier not outlier not outlier not outlier #> [51] mild outlier not outlier mild outlier not outlier not outlier #> [56] not outlier not outlier not outlier not outlier not outlier #> [61] not outlier not outlier not outlier mild outlier not outlier #> [66] not outlier not outlier not outlier not outlier not outlier #> [71] not outlier not outlier not outlier not outlier not outlier #> [76] not outlier not outlier not outlier not outlier not outlier #> [81] not outlier not outlier not outlier mild outlier not outlier #> [86] not outlier not outlier not outlier not outlier not outlier #> [91] not outlier not outlier mild outlier not outlier mild outlier #> [96] not outlier not outlier not outlier not outlier not outlier #> [101] mild outlier not outlier not outlier not outlier mild outlier #> [106] not outlier not outlier not outlier not outlier not outlier #> [111] not outlier not outlier not outlier mild outlier mild outlier #> [116] not outlier not outlier not outlier mild outlier not outlier #> [121] not outlier not outlier not outlier not outlier not outlier #> [126] mild outlier mild outlier mild outlier not outlier not outlier #> [131] not outlier not outlier not outlier not outlier not outlier #> [136] not outlier not outlier #> Levels: not outlier < not evaluated < mild outlier < extreme outlier#> [1] not outlier not outlier not outlier not outlier #> [5] not outlier not outlier not outlier not outlier #> [9] not outlier not outlier not outlier not outlier #> [13] not outlier not outlier mild outlier not outlier #> [17] not outlier mild outlier mild outlier not outlier #> [21] not outlier not outlier not outlier not outlier #> [25] not outlier not outlier mild outlier not outlier #> [29] mild outlier not outlier not outlier not outlier #> [33] mild outlier mild outlier not outlier mild outlier #> [37] mild outlier not outlier not outlier not outlier #> [41] not outlier not outlier not outlier mild outlier #> [45] mild outlier not outlier mild outlier not outlier #> [49] mild outlier not outlier mild outlier mild outlier #> [53] extreme outlier not outlier not outlier not outlier #> [57] mild outlier mild outlier not outlier not outlier #> [61] not outlier not outlier mild outlier mild outlier #> [65] not outlier mild outlier not outlier not outlier #> [69] not outlier mild outlier not outlier not outlier #> [73] not outlier not outlier not outlier not outlier #> [77] not outlier not outlier not outlier not outlier #> [81] not outlier not outlier mild outlier mild outlier #> [85] not outlier not outlier not outlier not outlier #> [89] not outlier not outlier not outlier mild outlier #> [93] extreme outlier mild outlier extreme outlier mild outlier #> [97] mild outlier not outlier not outlier not outlier #> [101] mild outlier not outlier mild outlier not outlier #> [105] extreme outlier mild outlier not outlier mild outlier #> [109] not outlier not outlier not outlier not outlier #> [113] not outlier extreme outlier mild outlier not outlier #> [117] mild outlier not outlier extreme outlier not outlier #> [121] not outlier not outlier not outlier not outlier #> [125] mild outlier mild outlier mild outlier mild outlier #> [129] not outlier not outlier not outlier not outlier #> [133] not outlier mild outlier not outlier not outlier #> [137] not outlier #> Levels: not outlier < not evaluated < mild outlier < extreme outlieroutlier_mad(y, return.score = TRUE)#> [1] 0.2314645995 0.0947637520 0.0575175871 0.3936732779 0.3437682166 #> [6] 1.2149814820 0.6866105086 0.0000000000 0.1246276845 0.3864825994 #> [11] 0.4025282126 1.3911868849 1.7529099288 0.3094079663 2.0827285520 #> [16] 0.2108717697 1.1618287799 0.6714202344 1.6931557832 0.4505832465 #> [21] 0.1180864315 0.0443212058 0.8648311495 0.3141102559 0.1528699894 #> [26] 0.7839393063 0.8051535504 0.3201000048 0.8029773475 1.1759172665 #> [31] 0.0878984723 0.4710661970 2.7806518401 0.6608986202 0.1556800565 #> [36] 0.5702826755 0.6813890272 0.2431872659 1.7294174842 0.3279179559 #> [41] 1.4671608948 0.3498908317 0.1667633276 1.3211952787 1.1805302560 #> [46] 0.8147497259 0.9839440873 1.3309971414 0.5831505341 0.5031116163 #> [51] 1.5996728757 1.1392271350 2.8207153623 0.9673685108 1.0572106328 #> [56] 0.0006708833 0.5512673226 1.1402939407 0.4128855942 0.1345149042 #> [61] 0.2957279815 0.3096446972 1.9801519979 1.7018327735 0.0683346591 #> [66] 1.0777717800 0.1981310935 0.1061336908 1.0735084581 0.9842693813 #> [71] 1.1782488014 0.1478167117 0.1772672737 0.5017020594 0.0545828393 #> [76] 0.6802038036 0.1146646284 1.7497434042 0.9648601769 0.0848125295 #> [81] 0.4482414094 0.1439251397 1.0020045793 1.2687825093 0.1261121325 #> [86] 0.0686522896 0.9676177862 1.0519995771 0.5380279298 1.4933837972 #> [91] 0.1409397998 0.9958591954 2.7976948576 2.0949622780 3.6953285030 #> [96] 0.5764077169 0.7127748261 0.3093789099 0.5604815252 0.8429077587 #> [101] 1.2301863459 0.4026535622 0.8739886391 0.3616689886 2.7763162945 #> [106] 0.7366915941 0.3450800114 1.0031191835 0.6744897502 0.1429663404 #> [111] 0.8799776280 0.4453750586 0.3865158865 1.8382674920 1.6244542236 #> [116] 0.0714781615 0.9388848755 0.2682875378 1.7604787345 1.8751365841 #> [121] 1.5410352634 0.0085166706 1.2518105131 0.1107623124 0.6664259062 #> [126] 1.7302114207 1.5312826878 1.3036292068 0.7789469349 1.2213621428 #> [131] 0.0762356537 0.9644159393 0.9322482612 0.8466970146 0.6334063805 #> [136] 0.6353761459 0.2632245201