Sas date formats9/5/2023 ![]() ![]() ![]() TIME VALUES Similarly, SAS stores time values as the number of seconds after midnight. It can also handle future dates almost up to the year 20,000, which should suffice for most practical purposes. of course, once thats done, one may turn that into a format using cntlin option and store that in a catalog. The objective is rather straight forward data manipulation. I personally dont see a need for a custom format as such coz its only gonna require another pass. format combines several older formats into a "super format" that attempts to convert a character string into a date. At present, the SAS system supports dates as far back as January 1, 1582, which translates to a SAS date value of -138,061. SAS comparing two dates Ask Question Asked 2 years, 7 months ago Modified 3 months ago Viewed 7k times 0 I have a sas file which looks like date1 date2 date3 comp 20201208 20110201 20120201 20201208 20200101 20210201 all date are numeric with format yymmddn8. HI noling First off, Excellent observation. ![]() The following SAS DATA step shows that the ANYDTDTE w. This date is assigned the date value 0, and the next date has a date value of 1 and so on. Each day is assigned a specic numeric value, starting from January 1, 1960. In SAS dates are a special case of numeric values. If the dates are not standardized or you need to read a string like "July 4, 1776", the ANYDTDTE informat is a godsend. Title Convert the Dates to SAS Formats Version 0.1.0 Description Converts the dates to different SAS date formats. If your dates are in a specific form, the older informats work great and serve to document that all dates must be in that standard form. informat is a flexible alternative to older informats such as DATE w., MMDDYY w., and YYMMDD w. For example, the US Independence Day might be represented as "04JUL1776", "", "Jul 4, 1776", or "July 4, 1776."įortunately, the ANYDTDTE informat makes it easy read dates like these into SAS. If you obtain data from web sites, social media, or other unstandardized data sources, you might not know the form of dates in the data. ![]()
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