Hi, I'm reading data from a text file and transforming it in R and my date
column seems to be getting corrupted. Can someone point out what's wrong?
This code worked fine until I added a new date in 2010.

thank you.


To load the data I run:
work_table = read.table(datafilename,header=TRUE)                  #read the
data file
attach(work_table)                                                 #attach
the file for ease of use
names(work_table) =
c(     "cur_date", "week", "time_pct", "compl", "work_delta",
"mean_delta", "balance", "total", "total_delta",
"work", "index", "mean_pd_per_day")

If I list the date element cur_date, I get:
> work_table$cur_date
 [1] 8/17/2009  8/30/2009  9/6/2009   9/13/2009  9/20/2009  9/27/2009
 [7] 10/4/2009  10/13/2009 10/20/2009 10/27/2009 11/3/2009  11/10/2009
[13] 11/17/2009 11/24/2009 12/2/2009  12/9/2009  12/16/2009 12/23/2009
[19] 12/30/2009 1/6/2010

This is correct.


The line that produces the bad output is:
dt <-strptime(as.character(work_table$cur_date), "%m/%d/%y")

when I list dt I get:
>dt
 [1] "2020-08-17" "2020-08-30" "2020-09-06" "2020-09-13" "2020-09-20"
 [6] "2020-09-27" "2020-10-04" "2020-10-13" "2020-10-20" "2020-10-27"
[11] "2020-11-03" "2020-11-10" "2020-11-17" "2020-11-24" "2020-12-02"
[16] "2020-12-09" "2020-12-16" "2020-12-23" "2020-12-30" "2020-01-06"

The inside function as.character seems to provide correct output
>
> as.character(work_table$cur_date)
 [1] "8/17/2009"  "8/30/2009"  "9/6/2009"   "9/13/2009"  "9/20/2009"
 [6] "9/27/2009"  "10/4/2009"  "10/13/2009" "10/20/2009" "10/27/2009"
[11] "11/3/2009"  "11/10/2009" "11/17/2009" "11/24/2009" "12/2/2009"
[16] "12/9/2009"  "12/16/2009" "12/23/2009" "12/30/2009" "1/6/2010"

which makes me think I'm doing something wrong in my strptime() call.
as.character(bug_table$rep_date)

Thanks very much for your help

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