On Thu, 19 Jul 2018, David Winsemius wrote:
I took the code that I offered earlier and replaced allyears with wy2018:
date time elev myDate myTime
1 2017-10-01 00:00 290.298 2017-10-01 2017-10-01 00:00:00
2 2017-10-01 00:30 290.301 2017-10-01 2017-10-01 00:30:00
3 2017-10-01 01:00 290.304 2017-10-01 2017-10-01 01:00:00
4 2017-10-01 01:30 290.295 2017-10-01 2017-10-01 01:30:00
5 2017-10-01 02:00 290.292 2017-10-01 2017-10-01 02:00:00
6 2017-10-01 02:30 290.289 2017-10-01 2017-10-01 02:30:00
7 2017-10-01 03:00 290.289 2017-10-01 2017-10-01 03:00:00
8 2017-10-01 03:30 290.289 2017-10-01 2017-10-01 03:30:00
9 2017-10-01 04:00 290.280 2017-10-01 2017-10-01 04:00:00
str(wy2018)
'data.frame': 9 obs. of 5 variables:
$ date : Factor w/ 1 level "2017-10-01": 1 1 1 1 1 1 1 1 1
$ time : Factor w/ 9 levels "00:00","00:30",..: 1 2 3 4 5 6 7 8 9
$ elev : num 290 290 290 290 290 ...
$ myDate: Date, format: "2017-10-01" "2017-10-01" ...
$ myTime: POSIXct, format: "2017-10-01 00:00:00" "2017-10-01 00:30:00" ...
David,
Thank you. I see the results in the dataframe structure although I still
don't understand all the reasons. The 'myTime' column confirms what I
thought: that there is no separate time data type. I'll use what you taught
me an move on with the analyses.
Best regards,
Rich
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