tidytidbits (version 0.3.2)

first_non_nas: Row-wise first value which is not NA

Description

This is useful in conjunction with dplyr's mutate to condense multiple columns to one, where in each sample typically only one of n columns has a value, while the others are NA. Returns one vector of the same length as each input vector containing the result. Note that factors will be converted to character vectors (with a warning).

Usage

first_non_nas(...)

Arguments

...

multiple vectors of same type and size, regarded as columns

Value

Returns a vector of type and size as any of the given vectors (vectors regarded a column, number of rows is size of each vectors) For each "row", returns the first value that is not NA, or NA iff all values in the row are NA.

Examples

# NOT RUN {
library(tibble)
library(magrittr)
library(dplyr)
# Creates a column containing (4, 2, 2)
tibble(a=c(NA, NA, 2), b=c(4, NA, 5), c=c(1, 2, 3)) %>%
  mutate(essence=first_non_nas(a, b, c))
# }