Impute2D {metR} | R Documentation |
Impute missing values by linear or constant interpolation
Description
Provides methods for (soft) imputation of missing values.
Usage
Impute2D(formula, data = NULL, method = "interpolate")
Arguments
formula |
a formula indicating dependent and independent variables (see Details) |
data |
optional data.frame with the data |
method |
"interpolate" for interpolation, a numeric for constant imputation or a function that takes a vector and returns a number (like mean) |
Details
This is "soft" imputation because the imputed values are not supposed to be
representative of the missing data but just filling for algorithms that need
complete data (in particular, contouring). The method used if
method = "interpolate"
is to do simple linear interpolation in both the x and y
direction and then average the result.
This is the imputation method used by geom_contour_fill()
.
[Package metR version 0.15.0 Index]