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The time data types are broken out into a separate section from theintroductory section on data types. (Basic Data Types) The reasonfor this is that dealing with time data can be subtle and must be donecarefully because the data type can be cast in a variety of differentways. It is not an introductory topic, and if not done well can scareoff the normal people.
I will first go over the basic time data types and then explore thedifferent kinds of operations that are done with the time datatypes. Please be cautious with time data and read the completedescription including the caveats. There are some common mistakes thatresult in calculations that yield results that are very different fromthe intended values.
There are a variety of different types specific to time data fieldsin R. Here we only look at two, the POSIXct and POSIXlt data types:
POSIXct
POSIXlt
The POSIXlt data type is a vector, and the entries in the vectorhave the following meanings:
- seconds
- minutes
- hours
- day of month (1-31)
- month of the year (0-11)
- years since 1900
- day of the week (0-6 where 0 represents Sunday)
- day of the year (0-365)
- Daylight savings indicator (positive if it is daylight savings)
Timer That Counts Up
Part of the difficulty with time data types is that R prints them outin a way that is different from how it stores them internally. Thiscan make type conversions tricky, and you have to be careful and testyour operations to insure that R is doing what you think it is doing.
To get the current time, the Sys.time() can be used, and you canplay around a bit with the basic types to get a feel for what R isdoing. The as.POSIXct and as.POSIXlt commands are used toconvert the time value into the different formats.
Timer Rheostat
There are times when you have a time data type and want to convert itinto a string so it can be saved into a file to be read by anotherapplication. The strftime command is used to take a time data typeand convert it to a string. You must supply an additional formatstring to let R what format you want to use. See the help page onstrftime to get detailed information about the format string.
Commonly a time stamp is saved in a data file, and it must beconverted into a time data type to allow for calculations. Forexample, you may be interested in how much time has elapsed betweentwo observations. The strptime command is used to take a string andconvert it into a time data type. Like strftime it requires a formatstring in addition to the time stamp.
The strptime command is used to take a string and convert it into aform that R can use for calculations. In the following example a dataframe is defined that has the dates stored as strings. If you read thedata in from a csv file this is how R will keep track of thedata. Note that in this context the strings are assumed to representordinal data, and R will assume that the data field is a set offactors. You have to use the strptime command to convert it into atime field.
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Now you can perform operations on the fields. For example you candetermine the time between observations. (Please see the notes belowon time operations. This example is a bit misleading!)
In addition to the time data types R also has a date data type. Thedifference is that the date data type keeps track of numbers of daysrather than seconds. You can cast a string into a date type using theas.Date function. The as.Date function takes the same arguments asthe time data types discussed above.
You can also define a date in terms of the number days after anotherdate using the origin option.
Finally, a nice function to know about and use is the formatcommand. It can be used in a wide variety of situations, and not justfor dates. It is helpful for dates, though, because you can use it incat and print statements to make sure that your output is inexactly the form that you want.
The most difficult part of dealing with time data can be converting itinto the right format. Once a time or date is stored in R’s internalformat then a number of basic operations are available. The thing tokeep in mind, though, is that the units you get after an operation canvary depending on the magnitude of the time values. Be very carefulwhen dealing with time operations and vigorously test your codes.
The two examples involving the variables earlier and later in theprevious code sample should cause you a little concern. The value ofthe difference depends on the largest units with respect to thedifference! The issue is that when you subtract dates R uses theequivalent of the difftime command. We need to know how thisoperates to reduce the ambiguity when comparing times.
Timer Thermostat
One thing to be careful about difftime is that it is a doubleprecision number, but it has units attached to it. This can be tricky,and you should be careful about the ambiguity in using this command. Ipersonally always try to specify the units to avoid this.
Zen pinball 2 the walking dead. Another way to define a time difference is to use the as.difftimecommand. It takes two dates and will compute the difference betweenthem. It takes a time, its format, and the units to use. Note that inthe following example R is able to figure out what the units are whenmaking the calculation.
Timer Three Minutes
The last thing to mention is that once a time stamp is cast into oneof R’s internal formats comparisons can be made in a natural way.