Code
find_mad(data = mtcars, col.list = names(mtcars), criteria = 3)
Output
20 outlier(s) based on 3 median absolute deviations for variable(s):
mpg, cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb
The following participants were considered outliers for more than one variable:
Row n
1 3 2
2 9 2
3 18 2
4 19 2
5 20 2
6 26 2
7 28 2
8 31 2
9 32 2
Outliers per variable:
$qsec
Row qsec_mad
1 9 3.665557
$vs
Row vs_mad
1 3 Inf
2 4 Inf
3 6 Inf
4 8 Inf
5 9 Inf
6 10 Inf
7 11 Inf
8 18 Inf
9 19 Inf
10 20 Inf
11 21 Inf
12 26 Inf
13 28 Inf
14 32 Inf
$am
Row am_mad
1 1 Inf
2 2 Inf
3 3 Inf
4 18 Inf
5 19 Inf
6 20 Inf
7 26 Inf
8 27 Inf
9 28 Inf
10 29 Inf
11 30 Inf
12 31 Inf
13 32 Inf
$carb
Row carb_mad
1 31 4.046945
Code
find_mad(data = mtcars2, col.list = names(mtcars), ID = "car", criteria = 3)
Output
20 outlier(s) based on 3 median absolute deviations for variable(s):
mpg, cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb
The following participants were considered outliers for more than one variable:
Row car n
1 3 Datsun 710 2
2 9 Merc 230 2
3 18 Fiat 128 2
4 19 Honda Civic 2
5 20 Toyota Corolla 2
6 26 Fiat X1-9 2
7 28 Lotus Europa 2
8 31 Maserati Bora 2
9 32 Volvo 142E 2
Outliers per variable:
$qsec
Row car qsec_mad
1 9 Merc 230 3.665557
$vs
Row car vs_mad
1 3 Datsun 710 Inf
2 4 Hornet 4 Drive Inf
3 6 Valiant Inf
4 8 Merc 240D Inf
5 9 Merc 230 Inf
6 10 Merc 280 Inf
7 11 Merc 280C Inf
8 18 Fiat 128 Inf
9 19 Honda Civic Inf
10 20 Toyota Corolla Inf
11 21 Toyota Corona Inf
12 26 Fiat X1-9 Inf
13 28 Lotus Europa Inf
14 32 Volvo 142E Inf
$am
Row car am_mad
1 1 Mazda RX4 Inf
2 2 Mazda RX4 Wag Inf
3 3 Datsun 710 Inf
4 18 Fiat 128 Inf
5 19 Honda Civic Inf
6 20 Toyota Corolla Inf
7 26 Fiat X1-9 Inf
8 27 Porsche 914-2 Inf
9 28 Lotus Europa Inf
10 29 Ford Pantera L Inf
11 30 Ferrari Dino Inf
12 31 Maserati Bora Inf
13 32 Volvo 142E Inf
$carb
Row car carb_mad
1 31 Maserati Bora 4.046945
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