defaultGlobalMean: Global Mean Model for Imputation
In SWS-Methodology/faoswsImputation: Package to perform ensemble imputation for various FAO domains
Description
Usage
Arguments
Value
Description
This function imputes missing values through a global mean.
Usage
1
defaultGlobalMean(data, imputationParameters)
Arguments
data
The data.table object containing the data.
imputationParameters
A list of the parameters for the imputation
algorithms. See defaultImputationParameters() for a starting point.
Value
Returns a vector of the estimated/imputed values. If a value
existed in the original data, then an NA is returned in that location.
Otherwise, the mean of all available observations is returned (computed
across the entire dataset).
SWS-Methodology/faoswsImputation documentation built on May 9, 2019, 11:48 a.m.
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Description Usage Arguments Value
Description
This function imputes missing values through a global mean.
Usage
1 | defaultGlobalMean(data, imputationParameters)
|
Arguments
data |
The data.table object containing the data. |
imputationParameters |
A list of the parameters for the imputation algorithms. See defaultImputationParameters() for a starting point. |
Value
Returns a vector of the estimated/imputed values. If a value existed in the original data, then an NA is returned in that location. Otherwise, the mean of all available observations is returned (computed across the entire dataset).
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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