This is the information contained within my dataframe:
## minuteofday: factor w/ 89501 levels "2013-06-01 08:07:00",...
## dDdt: num 7.8564 2.318 ...
## minutes: POSIXlt, format: NA NA NA
I need to convert the minute of day column to a date/time format:
minuteave$minutes <- as.POSIXlt(as.character(minuteave$minuteofday), format="%m/%d/%Y %H:%M:%S")
I've tried as.POSIXlt, as.POSIXct and as.Date. None of which worked. Does anyone have ANY thoughts.
The goal is to plot minutes vs. dDdt, but it won't let me plot in the specified time period that I want to as a factor. I have no idea what to try next...
You need to insert an as.character() before parsing as a Datetime or Date.
A factor will always come back first as a number corresponding to its level.
You can save the conversion from factor to character by telling read.csv() etc to no store as a factor: stringsAsFactors=FALSE. You can also set that as a global option.
Once you have it as character, make sure you match the format string to your data:
R> as.POSIXct("2013-06-01 08:07:00", format="%Y-%m-%d %H:%M:%S")
[1] "2013-06-01 08:07:00 CDT"
R>
Note the %Y-%m-%d I used, as opposed to your %m/%d/%y.
Edit on 3 Jan 2016: This is now much easier thanks to the anytime package which automagically converts from many types, including factor, and does so without requiring a format string.
R> as.factor("2013-06-01 08:07:00")
[1] 2013-06-01 08:07:00
Levels: 2013-06-01 08:07:00
R>
R> library(anytime)
R> anytime(as.factor("2013-06-01 08:07:00"))
[1] "2013-06-01 08:07:00 CDT"
R>
R> class(anytime(as.factor("2013-06-01 08:07:00")))
[1] "POSIXct" "POSIXt"
R>
As you can see we just feed the factor variable into anytime() and out comes the desired POSIXct type.