From the given dataframe i would like to extract quarterly months.
Category = c("New", "New","New","New","Old","Old","Old","Old",
"Expired","Expired", "Expired","Expired")
Date_Monthly =c("Jan-2014", "Feb-2014", "Mar-2014", "Apr-2014", "May-2014",
"Jun-2014", "Jul-2014", "Aug-2014", "Sep-2014","Oct-2014","Nov-2014","Dec-2014")
Monthly_Vals = c(4,7,6,7,8,12,10,11,10,16,12,120)
df1 <- data.frame(Category, Date_Monthly,Monthly_Vals)
I have tired with lubridate but i get the
Error
Error in as.POSIXlt.character(x, tz = tz(x)):character string is not in a standard unambiguous format
lubridate::quarter(df1$Date_Monthly)
Is there any other way to extract quarterly dates data from the dataframe ?
Expected Outcome
Category Date_Monthly Monthly_Vals
New Mar-2014 6
Old Jun-2014 12
Expired Sep-2014 10
Expired Dec-2014 120
If you want to convert the month-year values into daate, you can use lubridate::my
and then you can extract the month and subset the the values you want. For example
library(dplyr)
df1 %>%
filter(lubridate::month(lubridate::my(Date_Monthly)) %in% c(3,6,9,12))
# Category Date_Monthly Monthly_Vals
# 1 New Mar-2014 6
# 2 Old Jun-2014 12
# 3 Expired Sep-2014 10
# 4 Expired Dec-2014 120