mdancho84
R/anomalize_methods.R
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@@ -71,7 +71,7 @@
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| 71 | 71 | dplyr::arrange(dplyr::desc(max_abs_diff)) %>% |
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| 72 | 72 | dplyr::mutate( |
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| 73 | 73 | outlier = ifelse(max_abs_diff > 0, "Yes", "No"), |
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| 74 | - | below_max_anoms = ifelse(row_number() / n() > max_anoms, |
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| 74 | + | below_max_anoms = ifelse(dplyr::row_number() / dplyr::n() > max_anoms, |
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| 75 | 75 | "No", "Yes" |
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| 76 | 76 | ), |
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| 77 | 77 | outlier_reported = ifelse(outlier == "Yes" & below_max_anoms == "Yes", |
@@ -185,7 +185,7 @@
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| 185 | 185 | median = median_new, |
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| 186 | 186 | mad = mad_new, |
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| 187 | 187 | limit_lower = median - critical_value * mad, |
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| 188 | - | limit_upper = critical_value * mad - median |
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| 188 | + | limit_upper = critical_value * mad + median |
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| 189 | 189 | ) %>% |
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| 190 | 190 | dplyr::mutate( |
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| 191 | 191 | outlier = ifelse(test_statistic > critical_value, "Yes", "No"), |
| Files | Coverage |
|---|---|
| R | 85.63% |
| Project Totals (15 files) | 85.63% |
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