doImputation: Impute missing values or outliers.
In SWS-Methodology/faoswsTrade: FAO Trade Module
doImputation R Documentation
Impute missing values or outliers.
Description
Use a median unit value to impute missing quantities or outliers.
Usage
doImputation(tradedata = NA, uv.median = "uvm")
Arguments
tradedata
Trade data.
uv.median
Name of the median unit value variable.
Details
The median unit value is calculated in a specific-to-generic fashion:
1) by HS-reporter; 2) by HS8-reporter; by HS6-reporter; 3) by HS;
4) by FCL; 5) by flow.
The first available of these options will be used (for HS, HS8 and HS6
only when there are at least 10 flows).
Value
tradedata with imputed values.
SWS-Methodology/faoswsTrade documentation built on Feb. 13, 2023, 1:04 a.m.
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| doImputation | R Documentation |
Impute missing values or outliers.
Description
Use a median unit value to impute missing quantities or outliers.
Usage
doImputation(tradedata = NA, uv.median = "uvm")
Arguments
tradedata |
Trade data. |
uv.median |
Name of the median unit value variable. |
Details
The median unit value is calculated in a specific-to-generic fashion: 1) by HS-reporter; 2) by HS8-reporter; by HS6-reporter; 3) by HS; 4) by FCL; 5) by flow. The first available of these options will be used (for HS, HS8 and HS6 only when there are at least 10 flows).
Value
tradedata with imputed values.
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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