Reputation: 21
I have a dataframe with a structure like this.
head(df,n=5)
Var1 Var2 Var3 value
1 1 1 1 NA
2 2 1 1 NA
3 3 1 1 NA
4 4 1 1 NA
5 5 1 1 NA
var3 as shown has value 1 for some rows(~500), 2 for some and so on till 366. I have a Date type stored with dates in the form
head(date,n=5)
"2020-01-01" "2020-01-02" "2020-01-03" "2020-01-04" "2020-01-05"
what I want to achieve is to replace var3 variable with dates as it represents the layer of the multidimensional array. i.e replace all 1 value with 2020-01-01, 2 with 2020-01-02 and so on. essentially making the df into the following
Var1 Var2 Var3 value
1 1 1 2020-01-01 NA
2 2 1 2020-01-01 NA
3 3 1 2020-01-01 NA
4 4 1 2020-01-01 NA
5 5 1 2020-01-01 NA
how should I approach this issue?
Upvotes: 0
Views: 116
Reputation: 11
you can replace var3 by adding var3 and a fixed date point. Using tidyverse, it looks like:
df <- df %>% mutate(var3=as.Date(var3, origin = "2019-12-31"))
that means var3 (numbers) is considered as days after 2019/dec/31
Upvotes: 1