I have the following data frame in R
East 24 Consumer 7/18/2018 0:00 Second Class Pennsylvania Chairs USD71.37
East 29 Consumer 9/21/2016 0:00 Standard Class Pennsylvania Binders USD9.61
East 33 Consumer 9/21/2016 0:00 Standard Class Pennsylvania Binders USD6.85
East 199 Corporate 7/13/2018 0:00 Standard Class Pennsylvania Binders USD2.94
East 216 Corporate 1/9/2016 0:00 Standard Class Ohio Machines USD1188
East 222 Consumer 12/27/2016 0:00 First Class Ohio Binders USD24
East 224 Consumer 12/27/2016 0:00 First Class Ohio Machines USD252
East 331 Consumer 9/1/2017 0:00 First Class Pennsylvania Binders USD28
East 333 Consumer 4/29/2017 0:00 Second Class Pennsylvania Binders USD40
East 334 Consumer 4/29/2017 0:00 Second Class Pennsylvania Binders USD8
We could use parse_number<\/code> function from
readr<\/code> package:
library(dplyr)
library(readr)
df %>%
mutate(newCol = parse_number(V10))
If the column is called "a", you can sub set the string and then convert to numeric like this:
> a <- c("USD71.37","USD9.61")
>
> as.numeric(str_sub(a,4,-1))
[1] 71.37 9.61
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