VIZ Media has published One Piece in English under the Shonen Jump imprint since Januand in 3-in-1 omnibus editions since December 1, 2009. In 2012, it won the 41st Japan Cartoonists Association Award Grand Prize, alongside Kimuchi Yokoyama's Neko Darake. The series was a finalist for the Tezuka Osamu Cultural Prize three times in a row from 2000 to 2002. Volume 67 of the series currently holds the record for highest first print run of any manga (including books) of all time in Japan, with 4.05 million in 2012. Yue Hu, who implemented a proof of concepts that showed that it might be possible to work with this much data in R.One Piece is the highest selling manga series of all time, with over 430 million copies in circulation as of 2017. The generous support of Revolution Analytics who supported the early development. JJ Allaire and Carlos Scheidegger who have indefatigably answered my many C++ questions The fantastic Rcpp package, which makes it amazingly easy to integrate R and C++ This package wouldn't be possible without: Visualise the results with autoplot() (you'll need to load ggplot2 to use this)īigvis also provides a number of standard statistics efficiently implemented on weighted/binned data: dian, weighted.IQR, weighted.var, weighted.sd, weighted.ecdf and weighted.quantile. If you're working with counts, you might want to standardise() See best_h() and rmse_cvs() to figure out a good starting bandwidth If the estimates are rough, you might want to smooth(). The bigvis package is structured around the following workflow:īin() and condense() to get a compact summary of the data # install.packages("devtools") devtools ::install_github( "hadley/bigvis ") Workflow
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