New R user here - I have many .csv files containing time stamps (date_time) in one column and temperature readings in the other. I am trying to write a function that detects the date_time format, and then changes it to a different format. Because of the way the data was collected, the date/time format is different in some of the .csv files. I want the function to change the date_time for all files to the same format.
Date_time format I want: %m/%d/%y %H:%M:%S Date_time format I want changed to above: "%y-%m-%d %H:%M:%S"
> head(file1data)
x date_time temperature coupler_d coupler_a host_con stopped EoF
1 1 18-07-10 09:00:00 41.137 Logged
2 2 18-07-10 09:15:00 41.322
3 3 18-07-10 09:30:00 41.554
4 4 18-07-10 09:45:00 41.832
5 5 18-07-10 10:00:00 42.156
6 6 18-07-10 10:15:00 42.755
> head(file2data)
x date_time temperature coupler_d coupler_a host_con stopped EoF
1 1 07/10/18 01:00:00 PM 8.070 Logged
2 2 07/10/18 01:15:00 PM 8.095
3 3 07/10/18 01:30:00 PM 8.120
4 4 07/10/18 01:45:00 PM 8.120
5 5 07/10/18 02:00:00 PM 8.020
6 6 07/10/18 02:15:00 PM 7.795
file2data is in the correct format. file1data is incorrect.
I have tried using logicals to detect and replace the date format e.g.,
file1data %>%
if(str_match_all(date_time,"([0-9][0-9]{2})[-.])")){
format(as.POSIXct(date_time,format="%y-%m-%d %H:%M:%S"),"%m/%d/%y %H:%M:%S")
}else{format(date_time,"%m/%d/%y %H:%M:%S")}
but this has not worked, I get the following errors:
Error in if (.) str_match_all(date_time, "([0-9][0-9]{2})[-.])") else { :
argument is not interpretable as logical
In addition: Warning message:
In if (.) str_match_all(date_time, "([0-9][0-9]{2})[-.])") else { :
the condition has length > 1 and only the first element will be used
Any ideas?