qc_outlierCheck: qc_outlierCheck
In Maritimes/bio.qcdata: Designed to perform QC functions on various Maritimes fisheries science databases
Description
Usage
Arguments
Value
Author(s)
Description
This function takes a dataframe, and does a simple check for
outliers based on the boxplot.stats() routine. Specifically, it identifies
data which is 1.5, 5, or 10 times the length of the box away from the box.
These are identified as "Possible", "Likely", or "Extreme" in the resultant
"OL_<field>" column, respectively. Other data is identified as "OK", which
indicates that it is within a reasonable range of the mean.
Usage
1
qc_outlierCheck(df, field)
Arguments
df
a dataframe to be analyzed.
field
a fieldname within the df to be analyzed.
Value
the df, with an additional field - "OL_<field>".
Author(s)
Mike McMahon, Mike.McMahon@dfo-mpo.gc.ca
Maritimes/bio.qcdata documentation built on May 14, 2019, 2:40 p.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
Description
This function takes a dataframe, and does a simple check for outliers based on the boxplot.stats() routine. Specifically, it identifies data which is 1.5, 5, or 10 times the length of the box away from the box. These are identified as "Possible", "Likely", or "Extreme" in the resultant "OL_<field>" column, respectively. Other data is identified as "OK", which indicates that it is within a reasonable range of the mean.
Usage
1 | qc_outlierCheck(df, field)
|
Arguments
df |
a dataframe to be analyzed. |
field |
a fieldname within the df to be analyzed. |
Value
the df, with an additional field - "OL_<field>".
Author(s)
Mike McMahon, Mike.McMahon@dfo-mpo.gc.ca
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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