Outlier 1

##   age  sex on.thyroxine query.on.thyroxine on.antithyroid.medication  sick
## 1  NA    F         TRUE              FALSE                     FALSE FALSE
## 2  24    F        FALSE              FALSE                     FALSE FALSE
## 3  47 <NA>        FALSE              FALSE                     FALSE FALSE
## 4  64    M        FALSE              FALSE                     FALSE FALSE
## 5  23    F        FALSE              FALSE                     FALSE FALSE
## 6  69    M        FALSE              FALSE                     FALSE FALSE
##   pregnant thyroid.surgery I131.treatment query.hypothyroid
## 1    FALSE           FALSE           TRUE             FALSE
## 2    FALSE           FALSE          FALSE             FALSE
## 3    FALSE           FALSE          FALSE             FALSE
## 4       NA           FALSE          FALSE             FALSE
## 5    FALSE           FALSE          FALSE             FALSE
## 6       NA           FALSE          FALSE             FALSE
##   query.hyperthyroid lithium tumor goitre hypopituitary psych  TSH  T3 TT4
## 1              FALSE   FALSE FALSE  FALSE         FALSE FALSE 0.60 1.5 120
## 2              FALSE   FALSE FALSE  FALSE         FALSE FALSE 0.25 3.0 143
## 3              FALSE   FALSE FALSE  FALSE         FALSE FALSE 1.90 2.4 102
## 4              FALSE   FALSE FALSE  FALSE         FALSE FALSE 0.90 1.7  77
## 5              FALSE   FALSE FALSE  FALSE         FALSE FALSE 0.25 2.6 139
## 6              FALSE   FALSE FALSE  FALSE         FALSE FALSE 0.25 1.6  86
##    T4U referral.source diagnosis       FTI
## 1 0.82           other  negative 146.34146
## 2 1.33            SVHC  negative 107.51880
## 3 1.31            SVHC  negative  77.86260
## 4 0.90            SVHC  negative  85.55556
## 5 0.90             SVI  negative 154.44444
## 6 0.70             SVI  negative 122.85714
## 'data.frame':    2772 obs. of  23 variables:
##  $ age                      : int  NA 24 47 64 23 69 85 48 67 76 ...
##  $ sex                      : Factor w/ 2 levels "F","M": 1 1 NA 2 1 2 2 2 1 1 ...
##  $ on.thyroxine             : logi  TRUE FALSE FALSE FALSE FALSE FALSE ...
##  $ query.on.thyroxine       : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ on.antithyroid.medication: logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ sick                     : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ pregnant                 : logi  FALSE FALSE FALSE NA FALSE NA ...
##  $ thyroid.surgery          : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ I131.treatment           : logi  TRUE FALSE FALSE FALSE FALSE FALSE ...
##  $ query.hypothyroid        : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ query.hyperthyroid       : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ lithium                  : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ tumor                    : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ goitre                   : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ hypopituitary            : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ psych                    : logi  FALSE FALSE FALSE FALSE FALSE FALSE ...
##  $ TSH                      : num  0.6 0.25 1.9 0.9 0.25 0.25 0.25 2.1 1.3 0.1 ...
##  $ T3                       : num  1.5 3 2.4 1.7 2.6 1.6 2.3 2 2.4 2.9 ...
##  $ TT4                      : num  120 143 102 77 139 86 128 86 87 124 ...
##  $ T4U                      : num  0.82 1.33 1.31 0.9 0.9 0.7 1.06 0.78 1.09 1.28 ...
##  $ referral.source          : Factor w/ 5 levels "other","STMW",..: 1 3 3 3 5 5 5 5 1 1 ...
##  $ diagnosis                : Factor w/ 4 levels "compensated",..: 2 2 2 2 2 2 2 2 2 2 ...
##  $ FTI                      : num  146.3 107.5 77.9 85.6 154.4 ...
## Reporting top 9 outliers [out of 9 found]
## 
## row [531] - suspicious column: [hypopituitary] - suspicious value: [TRUE]
##  distribution: 99.964% different [norm. obs: 2772]
## 
## row [623] - suspicious column: [age] - suspicious value: [455.000]
##  distribution: 99.964% <= 94.000 - [mean: 51.604] - [sd: 18.979] - [norm. obs: 2770]
## 
## row [1412] - suspicious column: [FTI] - suspicious value: [394.495]
##  distribution: 97.561% <= 165.143 - [mean: 100.586] - [sd: 20.958] - [norm. obs: 40]
##  given:
##      [pregnant] = [TRUE]
## 
## row [1138] - suspicious column: [age] - suspicious value: [75.000]
##  distribution: 95.122% <= 42.000 - [mean: 31.462] - [sd: 5.281] - [norm. obs: 39]
##  given:
##      [pregnant] = [TRUE]
## 
## row [2211] - suspicious column: [age] - suspicious value: [73.000]
##  distribution: 95.122% <= 42.000 - [mean: 31.462] - [sd: 5.281] - [norm. obs: 39]
##  given:
##      [pregnant] = [TRUE]
## 
## row [1438] - suspicious column: [FTI] - suspicious value: [394.495]
##  distribution: 99.194% <= 232.075 - [mean: 125.001] - [sd: 28.539] - [norm. obs: 123]
##  given:
##      [TT4] > [123.500] (value: 430.000)
##      [referral.source] in [STMW, SVHC, SVHD] (value: STMW)
## 
## row [745] - suspicious column: [TT4] - suspicious value: [239.000]
##  distribution: 98.571% <= 177.000 - [mean: 135.232] - [sd: 12.571] - [norm. obs: 69]
##  given:
##      [FTI] between (97.980, 128.140] (value: 112.736)
##      [T4U] > [1.125] (value: 2.120)
##      [age] > [55.500] (value: 87.000)
## 
## row [2614] - suspicious column: [FTI] - suspicious value: [364.179]
##  distribution: 98.889% <= 214.286 - [mean: 109.739] - [sd: 31.844] - [norm. obs: 89]
##  given:
##      [sex] is NA
## 
## row [1790] - suspicious column: [FTI] - suspicious value: [214.286]
##  distribution: 98.276% <= 146.250 - [mean: 103.275] - [sd: 13.978] - [norm. obs: 57]
##  given:
##      [TT4] between (78.500, 123.500] (value: 120.000)
##      [sex] is NA
## Outlier outputs from 2772 rows [9 of which are outliers]
## 
## 
## Reporting top 9 outliers [out of 9 found]
## 
## row [531] - suspicious column: [hypopituitary] - suspicious value: [TRUE]
##  distribution: 99.964% different [norm. obs: 2772]
## 
## row [623] - suspicious column: [age] - suspicious value: [455.000]
##  distribution: 99.964% <= 94.000 - [mean: 51.604] - [sd: 18.979] - [norm. obs: 2770]
## 
## row [1412] - suspicious column: [FTI] - suspicious value: [394.495]
##  distribution: 97.561% <= 165.143 - [mean: 100.586] - [sd: 20.958] - [norm. obs: 40]
##  given:
##      [pregnant] = [TRUE]
## 
## row [1138] - suspicious column: [age] - suspicious value: [75.000]
##  distribution: 95.122% <= 42.000 - [mean: 31.462] - [sd: 5.281] - [norm. obs: 39]
##  given:
##      [pregnant] = [TRUE]
## 
## row [2211] - suspicious column: [age] - suspicious value: [73.000]
##  distribution: 95.122% <= 42.000 - [mean: 31.462] - [sd: 5.281] - [norm. obs: 39]
##  given:
##      [pregnant] = [TRUE]
## 
## row [1438] - suspicious column: [FTI] - suspicious value: [394.495]
##  distribution: 99.194% <= 232.075 - [mean: 125.001] - [sd: 28.539] - [norm. obs: 123]
##  given:
##      [TT4] > [123.500] (value: 430.000)
##      [referral.source] in [STMW, SVHC, SVHD] (value: STMW)
## 
## row [745] - suspicious column: [TT4] - suspicious value: [239.000]
##  distribution: 98.571% <= 177.000 - [mean: 135.232] - [sd: 12.571] - [norm. obs: 69]
##  given:
##      [FTI] between (97.980, 128.140] (value: 112.736)
##      [T4U] > [1.125] (value: 2.120)
##      [age] > [55.500] (value: 87.000)
## 
## row [2614] - suspicious column: [FTI] - suspicious value: [364.179]
##  distribution: 98.889% <= 214.286 - [mean: 109.739] - [sd: 31.844] - [norm. obs: 89]
##  given:
##      [sex] is NA
## 
## row [1790] - suspicious column: [FTI] - suspicious value: [214.286]
##  distribution: 98.276% <= 146.250 - [mean: 103.275] - [sd: 13.978] - [norm. obs: 57]
##  given:
##      [TT4] between (78.500, 123.500] (value: 120.000)
##      [sex] is NA
## $suspicous_value
## $suspicous_value$column
## [1] "TT4"
## 
## $suspicous_value$value
## [1] 239
## 
## 
## $group_statistics
## $group_statistics$upper_thr
## [1] 177
## 
## $group_statistics$pct_below
## [1] 0.9857143
## 
## $group_statistics$mean
## [1] 135.2319
## 
## $group_statistics$sd
## [1] 12.57114
## 
## $group_statistics$n_obs
## [1] 69
## 
## 
## $conditions
## $conditions[[1]]
## $conditions[[1]]$column
## [1] "age"
## 
## $conditions[[1]]$value_this
## [1] 87
## 
## $conditions[[1]]$comparison
## [1] ">"
## 
## $conditions[[1]]$value_comp
## [1] 55.5
## 
## 
## $conditions[[2]]
## $conditions[[2]]$column
## [1] "T4U"
## 
## $conditions[[2]]$value_this
## [1] 2.12
## 
## $conditions[[2]]$comparison
## [1] ">"
## 
## $conditions[[2]]$value_comp
## [1] 1.125
## 
## 
## $conditions[[3]]
## $conditions[[3]]$column
## [1] "FTI"
## 
## $conditions[[3]]$value_this
## [1] 112.7358
## 
## $conditions[[3]]$comparison
## [1] ">"
## 
## $conditions[[3]]$value_comp
## [1] 97.97959
## 
## 
## $conditions[[4]]
## $conditions[[4]]$column
## [1] "FTI"
## 
## $conditions[[4]]$value_this
## [1] 112.7358
## 
## $conditions[[4]]$comparison
## [1] "<="
## 
## $conditions[[4]]$value_comp
## [1] 128.1402
## 
## 
## 
## $tree_depth
## [1] 4
## 
## $uses_NA_branch
## [1] FALSE
## 
## $outlier_score
## [1] 0.01221617
## Reporting top 9 outliers [out of 9 found]
## 
## row [rownum531] - suspicious column: [hypopituitary] - suspicious value: [TRUE]
##  distribution: 99.964% different [norm. obs: 2772]
## 
## row [rownum623] - suspicious column: [age] - suspicious value: [455.000]
##  distribution: 99.964% <= 94.000 - [mean: 51.604] - [sd: 18.979] - [norm. obs: 2770]
## 
## row [rownum1412] - suspicious column: [FTI] - suspicious value: [394.495]
##  distribution: 97.561% <= 165.143 - [mean: 100.586] - [sd: 20.958] - [norm. obs: 40]
##  given:
##      [pregnant] = [TRUE]
## 
## row [rownum1138] - suspicious column: [age] - suspicious value: [75.000]
##  distribution: 95.122% <= 42.000 - [mean: 31.462] - [sd: 5.281] - [norm. obs: 39]
##  given:
##      [pregnant] = [TRUE]
## 
## row [rownum2211] - suspicious column: [age] - suspicious value: [73.000]
##  distribution: 95.122% <= 42.000 - [mean: 31.462] - [sd: 5.281] - [norm. obs: 39]
##  given:
##      [pregnant] = [TRUE]
## 
## row [rownum1438] - suspicious column: [FTI] - suspicious value: [394.495]
##  distribution: 99.194% <= 232.075 - [mean: 125.001] - [sd: 28.539] - [norm. obs: 123]
##  given:
##      [TT4] > [123.500] (value: 430.000)
##      [referral.source] in [STMW, SVHC, SVHD] (value: STMW)
## 
## row [rownum745] - suspicious column: [TT4] - suspicious value: [239.000]
##  distribution: 98.571% <= 177.000 - [mean: 135.232] - [sd: 12.571] - [norm. obs: 69]
##  given:
##      [FTI] between (97.980, 128.140] (value: 112.736)
##      [T4U] > [1.125] (value: 2.120)
##      [age] > [55.500] (value: 87.000)
## 
## row [rownum2614] - suspicious column: [FTI] - suspicious value: [364.179]
##  distribution: 98.889% <= 214.286 - [mean: 109.739] - [sd: 31.844] - [norm. obs: 89]
##  given:
##      [sex] is NA
## 
## row [rownum1790] - suspicious column: [FTI] - suspicious value: [214.286]
##  distribution: 98.276% <= 146.250 - [mean: 103.275] - [sd: 13.978] - [norm. obs: 57]
##  given:
##      [TT4] between (78.500, 123.500] (value: 120.000)
##      [sex] is NA
## $suspicous_value
## $suspicous_value$column
## [1] "TT4"
## 
## $suspicous_value$value
## [1] 239
## 
## 
## $group_statistics
## $group_statistics$upper_thr
## [1] 177
## 
## $group_statistics$pct_below
## [1] 0.9857143
## 
## $group_statistics$mean
## [1] 135.2319
## 
## $group_statistics$sd
## [1] 12.57114
## 
## $group_statistics$n_obs
## [1] 69
## 
## 
## $conditions
## $conditions[[1]]
## $conditions[[1]]$column
## [1] "age"
## 
## $conditions[[1]]$value_this
## [1] 87
## 
## $conditions[[1]]$comparison
## [1] ">"
## 
## $conditions[[1]]$value_comp
## [1] 55.5
## 
## 
## $conditions[[2]]
## $conditions[[2]]$column
## [1] "T4U"
## 
## $conditions[[2]]$value_this
## [1] 2.12
## 
## $conditions[[2]]$comparison
## [1] ">"
## 
## $conditions[[2]]$value_comp
## [1] 1.125
## 
## 
## $conditions[[3]]
## $conditions[[3]]$column
## [1] "FTI"
## 
## $conditions[[3]]$value_this
## [1] 112.7358
## 
## $conditions[[3]]$comparison
## [1] ">"
## 
## $conditions[[3]]$value_comp
## [1] 97.97959
## 
## 
## $conditions[[4]]
## $conditions[[4]]$column
## [1] "FTI"
## 
## $conditions[[4]]$value_this
## [1] 112.7358
## 
## $conditions[[4]]$comparison
## [1] "<="
## 
## $conditions[[4]]$value_comp
## [1] 128.1402
## 
## 
## 
## $tree_depth
## [1] 4
## 
## $uses_NA_branch
## [1] FALSE
## 
## $outlier_score
## [1] 0.01221617

2019-08-06