fill: Filling of missing values in a vector, based on the marginal...

In divDyn/r_package: Diversity Dynamics using Fossil Sampling Data

Filling of missing values in a vector, based on the marginal values of the gaps

Description

The function will loop through a vector and will substitute NA values with the value it last encountered or replaced.

Usage

fill(x, forward = TRUE, inc = 0)

Arguments

x	(vector) Vector to be filled.
forward	(logical) Should the loop go forward or backward?
inc	(numeric) Only if x is numeric, the function will increase the substituted value by this amount (useful for filling in sequences).

Details

NAs won't be substituted when they are the first values the loop encounters.

Value

A logical vector.

Examples

# forward, replace with previous
dummy<- c(TRUE, FALSE, NA, TRUE, FALSE, NA)
fill(dummy)

# forward, replace with previous+1
dummy2 <- c(1,NA, 3, 1, 2, NA, NA, 9, NA,3)
fill(dummy2, inc=1)

# backward, replace with previous in loop direction
fill(dummy2, inc=0, forward=FALSE)

divDyn/r_package documentation built on Sept. 11, 2022, 9:29 p.m.