Different date formats in one column

I doubt your actual file looks like the mess that made it to my email 
software (below) because you posted HTML-format email. Read the Posting 
Guide, and in particular figure out how to send plain text email.

You might try the "anytime" contributed package, though I suspect it too 
will choke on your mess. Otherwise, that will pretty much leave only a 
brute-force series of regular expression tests to recognize which date 
format patterns you have, and even that may not be able to get them all 
right unless you know something that limits the range of possible formats.

Below is an example of how this can be done. There are many tutorials on 
the internet that describe regular expressions... they are not unique to 
R.

#-----
dta <- read.table( text=
"DtStr
020917
2/22/17
May-2-2015
May-12-15
", header=TRUE, as.is=TRUE )

dta$Dt <- as.Date( NA )

idx <- grepl( 
"^(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)-[0-9]+-[0-9]{4}$", 
dta$DtStr, perl=TRUE, ignore.case = TRUE )
dta$Dt[ idx ] <- as.Date( dta$DtStr[ idx ], format="%B-%d-%Y" )

idx <- grepl( 
"^(Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)-[0-9]+-[0-9]{2}$", 
dta$DtStr, perl=TRUE, ignore.case = TRUE )
dta$Dt[ idx ] <- as.Date( dta$DtStr[ idx ], format="%B-%d-%y" )

idx <- grepl( "^(0[1-9]|1[0-2])[0-9]{2}[0-9]{2}$", dta$DtStr, perl=TRUE )
dta$Dt[ idx ] <- as.Date( dta$DtStr[ idx ], format="%m%d%y" )

idx <- grepl( "^([1-9]|1[0-2])/[0-9]{1,2}/[0-9]{2}$", dta$DtStr, perl=TRUE 
)
dta$Dt[ idx ] <- as.Date( dta$DtStr[ idx ], format="%m/%d/%y" )

Hi,?
I have a data set with various date formats in one column and not sure how to unify it.Here is a few formats:
02091702/22/170221201703/17/160015-08-239/2/1500170806May-2-201522-March-2014
I tried parse_date_time from lubridate library but it failed.Thanks so much.?Best,Farnoosh


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