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R Replacing NAs with different date values in the same row across multiple time columns

April 26, 2022

I have a dataset that has some NAs in the time columns as shown in the sample data below. Usually when I am modifying row values of a single column I use:

df["195", "Date_Received"] = "9/1/2017"

But now I want to add values to the NA rows in the desired columns without having to write the above statement multiple times.

Please note that the columns in the original are in date format using lubridate.

What could be a tidy way of doing this in R?

Dummy Data

Date = c("2021-11-01", "2021-11-04", NA, "2021-11-15", NA)

Year = c(2021, 2021, NA, 2021, NA)

Month = c(11, 11, NA, 11, NA)

Day = c(01, 04, NA, 15, NA)

Desired Output

    Date         Year  Month Day
    2021-11-01   2021  11    01
    2021-11-04   2021  11    04
    2021-11-12   2021  11    12
    2021-11-15   2021  11    15
    2021-12-02   2021  11    02

Code

library(tidyverse)

df = data.frame(Date, Year, Month, Day)

# Replacing NAs with date values....

>Solution :

I’m not sure where you are getting your date values for rows 3 and 5, but you if you have a vector of the dates you want, you can just assign them directly

df = data.frame(Date=Date)
df[is.na(Date),"Date"] <- c("2021-11-12","2021-12-02")

Output:

        Date
1 2021-11-01
2 2021-11-04
3 2021-11-12
4 2021-11-15
5 2021-12-02

You can then create the year/month/day columns if necessary:

df %>%  mutate(Year = year(Date), Month = month(Date), day=day(Date))

Output:

        Date Year Month day
1 2021-11-01 2021    11   1
2 2021-11-04 2021    11   4
3 2021-11-12 2021    11  12
4 2021-11-15 2021    11  15
5 2021-12-02 2021    12   2