tukey_outlier: Tukey's test for outliers
In jentjr/gwstats: Tools for plotting and analyzing environmental data
tukey_outlier R Documentation
Tukey's test for outliers
Description
Tukey's test for outliers
Usage
tukey_outlier(
df,
x = "analysis_result",
k = 3,
na.rm = FALSE,
type = 6,
combine_locations = FALSE
)
Arguments
df
data.frame of groundwater data
x
column of analysis results
k
multiplier for IQR k = 1.5 indicates "outlier", k = 3 indicates
"far out"
na.rm
logical. Should missing values be removed?
type
an integer selecting one of the many quantile algorithms.
Default is 6 to match Sanitas
combine_locations
TRUE/FALSE
jentjr/gwstats documentation built on Jan. 12, 2024, 9:40 p.m.
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| tukey_outlier | R Documentation |
Tukey's test for outliers
Description
Tukey's test for outliers
Usage
tukey_outlier(
df,
x = "analysis_result",
k = 3,
na.rm = FALSE,
type = 6,
combine_locations = FALSE
)
Arguments
df |
data.frame of groundwater data |
x |
column of analysis results |
k |
multiplier for IQR k = 1.5 indicates "outlier", k = 3 indicates "far out" |
na.rm |
logical. Should missing values be removed? |
type |
an integer selecting one of the many quantile algorithms. Default is 6 to match Sanitas |
combine_locations |
TRUE/FALSE |
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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