Mercurial > repos > pmac > iterativepca
comparison R_functions/outlier_trimming.R @ 0:64e75e21466e draft default tip
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author | pmac |
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date | Wed, 01 Jun 2016 03:38:39 -0400 |
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-1:000000000000 | 0:64e75e21466e |
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1 # Finding outliers by standard deviation | |
2 | |
3 # Get samples whose pc1 OR pc2 values lie more than 'numsds' s.devs | |
4 # away from the sample median for that pc. | |
5 outliers_by_sd = function(pca_data, xsamples, numsds) { | |
6 pc1_outliers = find_outliers(pca_data$values[, 1], numsds) | |
7 pc2_outliers = find_outliers(pca_data$values[, 2], numsds) | |
8 all_outliers = union(pc1_outliers, pc2_outliers) | |
9 return(all_outliers) | |
10 } | |
11 | |
12 # compute outliers | |
13 # Returns indices of all samples which lie more than | |
14 # 'numsds' s.devs away from the sample median | |
15 find_outliers = function(input_data, numsds) { | |
16 lower = median(input_data) - numsds*sd(input_data) | |
17 upper = median(input_data) + numsds*sd(input_data) | |
18 | |
19 outliers = which(input_data < lower | input_data > upper) | |
20 return(outliers) | |
21 } |