Imputes missing values in a numeric vector using a function f_i. This function should return a vector identical
to x except for NA values, which can be replaced. The function f_i is not required to replace all NA
values.
Usage
# S3 method for numeric
Impute(x, f_i = NULL, f_i_para = NULL, ...)Arguments
- x
A numeric vector, possibly with
NAvalues to be imputed.- f_i
A function that imputes missing values in a numeric vector. See description and details.
- f_i_para
Optional further arguments to be passed to
f_i()- ...
arguments passed to or from other methods.
Details
This calls the function f_i(), with optionally further arguments f_i_para, to impute any missing
values found in x. By default, f_i = "i_mean()", which simply imputes NAs with the mean of the
non-NA values in x.
COINr has several built-in imputation functions of the form i_*() for vectors which can be called by Impute(). See the
online documentation for more details.
You could also use one of the imputation functions directly (such as i_mean()). However, this
function offers a few extra advantages, such as checking the input and output formats, and making
sure the resulting imputed vector agrees with the input. It will also skip imputation entirely if
there are no NAs at all.
Examples
# a vector with a missing value
x <- 1:10
x[3] <- NA
x
#> [1] 1 2 NA 4 5 6 7 8 9 10
# impute using median
# this calls COINr's i_median() function
Impute(x, f_i = "i_median")
#> [1] 1 2 6 4 5 6 7 8 9 10