I do use R to get the outliers for data set and I do use this snippet in R and it works like it's advertised to!
library("robustbase")
adjboxStats(c(11232.1, 234.2, 3445532344.3, 34302.3, 203.9, 232223.3, 3434.55), coef = 2.5, a = -4, b = 3, do.conf = TRUE, do.out = TRUE)
and I get this output:
$stats
[1] 203.900 1834.375 11232.100 133262.800 232223.300
$n
[1] 7
$conf
[1] -67254.84 89719.04
$fence
[1] -6963.467 5097118.725
$out
[1] 3445532344
this is the versions of across language between R and python, the only issue with it it won't continue the execution and i have to kill the process every-time I run the script.
from rpy import *
r.library("robustbase")
import rpy2.robjects as robjects
r("adjboxStats")(r.c(11232.1, 234.2, 3445532344.3, 34302.3, 203.9, 232223.3, 3434.55), coef = 2.5, a = -4, b = 3, do_conf = True, do_out = True)
see my previous question was here for more info.
is there's away to get this working in pure python?
Thank you!
The hanging appears to happen when you import both rpy
and rpy2
. If you just do:
from rpy import *
r.library("robustbase")
r("adjboxStats")(r.c(11232.1, 234.2, 3445532344.3, 34302.3, 203.9, 232223.3, 3434.55), coef = 2.5, a = -4, b = 3, do_conf = True, do_out = True)
This code should work.
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