Very good R visualization lesson . (via iTune U)
NA, sometimes with a warning. They are now legal for long vectors so there is no longer a warning, and x[2^31] <- y will now extend the vector on a 64-bit platform and give an error on a 32-bit one.ulimit in a bash shell, limit in csh), to set limits on overall memory consumption of an R process, particularly in a multi-user environment. A number of packages need a limit of at least 4GB of virtual memory to load.64-bit Windows builds of R are by default limited in memory usage to the amount of RAM installed: this limit can be changed by command-line option –max-mem-size or setting environment variable R_MAX_MEM_SIZE.Say hello to Shiny, a new R package that we’re releasing for public beta testing today.
Shiny makes it super simple for R users to turn analyses into interactive web applications that anyone can use. These applications let you specify input parameters using friendly controls like sliders, drop-downs, and text fields; and they can easily incorporate any number of outputs like plots, tables, and summaries.
No HTML or JavaScript knowledge is necessary. If you have some experience with R, you’re just minutes away from combining the statistical power of R with the simplicity of a web page:
As a language specifically for data analysis, R isn't in the same league in raw sales as general-purpose languages like C++ or Java, but it does show the most growth of any major language: R is the bright green box in the bottom row of the treemap above. Amongst print book sales for functional languages, R is both the biggest seller and the fastest growing by a large margin (as shown in thechart at 00:29 in this video about functional languages).
A recent post on the Junkcharts blog looked at US weather dataand the importance of explaining scales (which in this case went up to 118). Ultimately, it turns out that 118 is the rank of the data compared to the previous 117 years of data (in ascending order, so that 118 is the highest). At the end of the post,
We quite regularly use genetic algorithms to optimise over the ad-hoc functions we develop when trying to solve problems in applied mathematics. However it’s a bit disconcerting to have your algorithm roam through a high dimensional solution space while not being able to picture what it’s doing or how close one solution is to another. With this in mind, and also just out of curiosity, I’ve tried to visualise the path of a genetic algorithm by using principal components analysis.
Now, to get historical weather data, I am using Weather Underground's REST APIs and I put together a simple program in R to get the weather data in a data.frame. This R module gets called from SAP HANA and it inserts a new table into HANA with the right weather information. Once, I have the data in HANA, I performed mash-ups in HANA and off I go on my intellectual pursuit.
http://www.wunderground.com/weather/api/ <---應該有些好玩的資料可以玩
另外台灣的氣象資料網站 http://dbar.ttfri.narl.org.tw/Default.aspx <---這個就不用去了 因為申請了也沒下文!!!
As Carnegie Mellon statistician Cosma Shaliz points out, O'Neill's description of the skills required of a data scientist are precisely those of a suitably well-educated statistician, even if he or she has only an undergraduate degree in the subject. Granted, Shaliz teaches at Carnegie Mellon, which is among the best engineering schools on the planet, so that's not to say that everyone with a B.S. in statistics has mastered modern regression, advanced data analysis, data mining and statistical visualization.
This re-branding of statistical literacy as "data science" points out a larger trend -- disciplines that were formerly the domain of the specialist, such as statistics, are now more important than to a larger segment of the business world than ever. The fact that so few students view even a fraction of this level of mastery as necessary -- and that schools often do not offer even a basic statistical education to non math majors until the post-graduate level -- suggests that in this area, perhaps even more than other areas associated with engineering, there is a yawning gap between the skills our workforce possesses and the skills employers require.
各位ㄚ 統計學將成為顯學啦 大家來學R
RStudio™ is an integrated development environment (IDE) for the statistical software R (www.r-project.org). It combines an intuitive user interface with powerful coding tools to help you get the most out of R.
cloudnumbers.com provides researchers and companies with the access to resources to perform high performance calculations in the cloud. One often used application at cloudnumbers.com’s computer clusters in the cloud is the statistical software R.
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