remove_na: Removes observations with NAs

In appmicro/appmicro: Tools for Applied Microeconomics Research

Description

remove_na() is a function that removes observations that have an NA in any specified column

Usage

remove_na(DT, cols, track = T)

Arguments

DT	a data.table
cols	columns to look for NA observations
track	logical, if TRUE prints the number of observations dropped because of each variable

Value

The data.table without NAs in any of the specified columns

Examples

# 2013 nyc flights data
DT <- as.data.table(nycflights13::flights)
DT_clean <- remove_na(DT = DT, cols = c("arr_delay", "carrier"))

appmicro/appmicro documentation built on Nov. 2, 2019, 1:58 p.m.