HI,
You could try:
library(lubridate)
Date1 <- mdy(as.character(df[,1]))
Date1[is.na(Date1)] <-
parse_date_time(paste(1,as.character(df[,1][is.na(Date1)]),sep="-"),"%d-%b-%y")
A.K.
On Tuesday, November 5, 2013 12:38 PM, Abraham Mathew <abmathe...@gmail.com>
wrote:
Let's say I have the following data frame and the date column has two
different ways in which date is presented. How can I use as.Date or the
lubridate package to have one date structure for the entire colum
df = data.frame(Date=c("5/1/13","8/1/13","9/1/13","Apr-10",
"Apr-11","Apr-12","Apr-13"))
It's "month/date/year" and "month-year".
An alternative approach would be to perform some conditional statements
where if the date is "Apr-11", then populate it with "04/01/2011".
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