Impute2D: Impute missing values by linear or constant interpolation

In metR: Tools for Easier Analysis of Meteorological Fields

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().

metR documentation built on Oct. 14, 2024, 5:09 p.m.