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A Conversation with Yihui Xie at useR! 2014
بایگانی مجموعه ها ("فیدهای غیر فعال" status)
When? This feed was archived on March 16, 2022 22:11 (). Last successful fetch was on August 25, 2020 11:07 ()
Why? فیدهای غیر فعال status. سرورهای ما، برای یک دوره پایدار، قادر به بازیابی یک فید پادکست معتبر نبوده اند.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 240453034 series 48636
Yihui Xie intended to make it easier to do his homework, but instead found himself tackling one of the greatest problems in modern science: reproducibility of results. Through his work on the knitR package, he has assembled a toolchain which allows the user to produce beautiful, ready-to-distribute documents which contain a whole, self-supporting, and reproducible analysis. In this interview, Yihui discusses how he came to the R programming language and how he set about building knitR. He also mentions the great momentum and energy of the R community in China, and what he’s currently focused on at RStudio.
8 قسمت
بایگانی مجموعه ها ("فیدهای غیر فعال" status)
When? This feed was archived on March 16, 2022 22:11 (). Last successful fetch was on August 25, 2020 11:07 ()
Why? فیدهای غیر فعال status. سرورهای ما، برای یک دوره پایدار، قادر به بازیابی یک فید پادکست معتبر نبوده اند.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 240453034 series 48636
Yihui Xie intended to make it easier to do his homework, but instead found himself tackling one of the greatest problems in modern science: reproducibility of results. Through his work on the knitR package, he has assembled a toolchain which allows the user to produce beautiful, ready-to-distribute documents which contain a whole, self-supporting, and reproducible analysis. In this interview, Yihui discusses how he came to the R programming language and how he set about building knitR. He also mentions the great momentum and energy of the R community in China, and what he’s currently focused on at RStudio.
8 قسمت
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