Changing NA to Zero

[Selemani_Ngwira]

I am trying to change specific column with NA to Zero

using the following code

Covid_19_Vaccination[4:31][is.na(Covid_19_Vaccination[4:31])]<-0

but it is showing me the following error

Error in [<-:
! Assigned data 0 must be compatible with existing data.
Error occurred for column above_60_y_dose2female.
Caused by error in vec_assign():
! Can't convert to .
Backtrace:

1. base::[<-(*tmp*, is.na(Covid_19_Vaccination[4:31]), value = <dbl>)
2. tibble:::[<-.tbl_df(...)
3. tibble:::tbl_subassign_matrix(x, j, value, j_arg, substitute(value))
4. tibble:::vectbl_assign(x[[j]], cells[[j]], value)
5. vctrs::vec_assign(x, i, value)

is there way of fix this ?
thanks

[M_AcostaCH]

Hi @Selemani_Ngwira, welcome!

For get a better help try to put a reproducible example of the data and script.

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

See a tentative example for change specific columns with NAs to Zero.

Covid_19_Vaccination <- data.frame(
  Country = c("A", "B", "C"),
  Col1 = c(10, NA, 20),
  Col2 = c(30, 40, NA),
  Col3 = c(NA, 50, 60))

Covid_19_Vaccination <- Covid_19_Vaccination %>%
  mutate(across(1:2, ~ifelse(is.na(.), 0, .))) # Select 1 and 2 columns

#  Country Col1 Col2 Col3
#1       A   10   30   NA
#2       B    0   40   50
#3       C   20   NA   60

[Selemani_Ngwira]

@M_AcostaCH ,
thanks a lot. it has work