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You're reading from  Learning R Programming

Product typeBook
Published inOct 2016
Reading LevelBeginner
PublisherPackt
ISBN-139781785889776
Edition1st Edition
Languages
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Author (1)
Kun Ren
Kun Ren
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Kun Ren

Kun Ren has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: https://github.com/renkun-ken https://cn.linkedin.com/in/kun-ren-76027530 http://renkun.me/ http://renkun.me/formattable/ http://renkun.me/pipeR/ http://renkun.me/rlist/
Read more about Kun Ren

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Formatting date/time


In data analysis, it is common to encounter date and time data types. Perhaps, the simplest functions related with date are Sys.Date(), which returns the current date, and Sys.time(), which returns the current time.

As the book is being rendered, the date is printed as follows:

Sys.Date()
## [1] "2016-02-26"

And the time is:

Sys.time()
## [1] "2016-02-26 22:12:25 CST"

From the output, the date and time look like character vectors, but actually they are not:

current_date <- Sys.Date()
as.numeric(current_date)
## [1] 16857
current_time <- Sys.time()
as.numeric(current_time)
## [1] 1456495945

They are, in essence, numeric values relative to an origin and have special methods to do date/time calculations. For a date, its numeric value means the number of days passed after 1970-01-01. For a time, its numeric value means the number of seconds passed after 1970-01-01 00:00.00 UTC.

Parsing text as date/time

We can create a date relative to a customized...

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Learning R Programming
Published in: Oct 2016Publisher: PacktISBN-13: 9781785889776

Author (1)

author image
Kun Ren

Kun Ren has used R for nearly 4 years in quantitative trading, along with C++ and C#, and he has worked very intensively (more than 8-10 hours every day) on useful R packages that the community does not offer yet. He contributes to packages developed by other authors and reports issues to make things work better. He is also a frequent speaker at R conferences in China and has given multiple talks. Kun also has a great social media presence. Additionally, he has substantially contributed to various projects, which is evident from his GitHub account: https://github.com/renkun-ken https://cn.linkedin.com/in/kun-ren-76027530 http://renkun.me/ http://renkun.me/formattable/ http://renkun.me/pipeR/ http://renkun.me/rlist/
Read more about Kun Ren