I have a data frame and some columns have NA
values.
How do I replace these NA
values with zeroes?
Another dplyr
pipe compatible option with tidyr
method replace_na
that works for several columns:
require(dplyr)
require(tidyr)
m <- matrix(sample(c(NA, 1:10), 100, replace = TRUE), 10)
d <- as.data.frame(m)
myList <- setNames(lapply(vector("list", ncol(d)), function(x) x <- 0), names(d))
df <- d %>% replace_na(myList)
You can easily restrict to e.g. numeric columns:
d$str <- c("string", NA)
myList <- myList[sapply(d, is.numeric)]
df <- d %>% replace_na(myList)