The assumption it does still makes is that the if there is DST period is larger then a single month. What’s new in version 3.06 Updated on Pairwise Differentiation now correctly calculated Neis D, Rogers, Euclidean, Manhatten, Chord and Chi-square distances. However Performance-wise it will work faster if indeed July (or near by months) are indeed DST.ģ) Worse case it will compare the getTimezoneOffset of the first of each month. GenoDive features the intuitive user interface that you expect on a Mac, as well as a large number of different types of analyses. It tries to get the best of all worlds taking into account all the comments and previously suggested answers and specifically it:ġ) Caches the result for per year stdTimezoneOffset so that you don't need to recalculate it when testing multiple dates in the same year.Ģ) It does not assume that DST (if it exists at all) is necessarily in July,Īnd will work even if it will at some point and some place be any month. The day of the week will advance 1 day for every year and 2 days for every leap after 2004. If you don't want to use mktime, you can use program secondsunday. It used a day of the week to compute daylight savings time. Return this.getTimezoneOffset() < this.stdTimezoneOffset() this code uses mktime to get a day of the week. It returns negative numbers for the Eastern Hemisphere (such -600 for Sydney in winter, despite this being "ahead" ( UTC+10h). getTimezoneOffset returns 480 (positive 480 minutes) in December (winter, Standard Time), rather than -480. For example, Los Angeles is UTC–8h Standard, UTC-7h DST. polysat can assist the user in estimating the ploidy of samples, and it can estimate allele frequencies in populations, calculate pairwise or. Allelic diversity statistics and Polymorphic Information Content are also available. Note that getTimezoneOffset returns positive numbers of minutes for zones west of UTC, which are usually stated as negative hours (since they're "behind" UTC). These distances can be used for the calculation of clonal diversity statistics or used for further analysis in R. Thus it determines the expected output during Standard Time, and it compares whether the output of the given date the same (Standard) or less (DST). This code uses the fact that getTimezoneOffset returns a greater value during Standard Time versus Daylight Saving Time (DST).
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