detect_outliers: Test for outliers
In muschellij2/testdat: A suite for running automated tests for data
Description
Usage
Arguments
Examples
Description
This function identifies numeric columns in a data.frame, then identifies outliers and returns the indexes of these possible outliers for each numeric column.
Usage
1
detect_outliers(dat, threshold = 1.96, plot = FALSE, ...)
Arguments
dat
input dataset. Currently only supports data.frame but will soon support data.table
threshold
for outlier detection method (defaults to z-score)
plot
logical. Set TRUE to plot
...
Further args (to be passed to scores() function)
Examples
1
2
3
4
5
## Not run:
data(iris)
detect_outliers(iris)
## End(Not run)
muschellij2/testdat documentation built on May 23, 2019, 9:56 a.m.
R Package Documentation
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Description Usage Arguments Examples
Description
This function identifies numeric columns in a data.frame, then identifies outliers and returns the indexes of these possible outliers for each numeric column.
Usage
1 | detect_outliers(dat, threshold = 1.96, plot = FALSE, ...)
|
Arguments
dat |
input dataset. Currently only supports |
threshold |
for outlier detection method (defaults to z-score) |
plot |
logical. Set |
... |
Further args (to be passed to scores() function) |
Examples
1 2 3 4 5 | ## Not run:
data(iris)
detect_outliers(iris)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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