A section from the blog *R for beginners* in English.
Several years a go, you might think of R only as the 18th alphabet. But now, R can also mean “a trend language”. More than 4000 add-on packages have been uploaded on the CRAN server (I’ll talk about CRAN a bit later). Each maintained-packages has organised miling list with hundreds to thousands.A website called R-evolution shows the package submitted annually and chart of developer who have been maintained more than 10 packages. Many active R user group are also hosted in major social media like Google+, LinkedIn, Facebook and Twitter. The following are my recommended list:
on Google+: Statistics and R Communities
on LinkedIn: R Programming Group
on Facebook: R Programming Group
on Twitter: One R tip a day (@RLangTIp) or just use hastag “#rstats”
R meetups are also organised as a meeting point of R users globally. To date, as many as 155 meetups with 46.607 participants, in 127 cities in 31 countries, have been hosted as mentioned in theR user group.
Intentionally built as a robust statistical tools, R now has been developed for many applications. It can even be used to manipulate and visualise GIS dataset. The use of R are far more increasing unstoppably in “Big Data” era.Hence no matter in what field you are, as long as it involves data analysis, you can use R.
The application of R has developed rapidly, as it connects to another major language like Python (not the serpent) and Ruby (not the gemstone). One of the example is R markdown. It is a flavour of markdown that natively installed in Rstudio installation. Markdown is a markup language, just like LaTeX and HTML, but with easier to remember syntax. By using R-markdown you can embed R code and its result in one readable document. Previously, R markdown can only be converted to HTML via knitr package. But in the newest R studio, you can now convert Markdown to “`pdf“` and even “`docx“` format. Neat isn’t. But save the thought for now, I’ll talk more about it as we move further.