【latex版】水贴

(Corrects headline to note the hearing on corruption charges is pending). * Perez resigns days before presidential election. * Faces claims of involvement in 'La Linea' customs scandal. * Scandal has gutted government, triggered protests.

Players and attendees at the U.S. Open are used to reminders that flying objects are around; usually, though, they come in the form of noise from planes taking off from nearby La Guardia airport.

A coalition of women's health-care providers on Thursday asked the Supreme Court to review a federal appeals court decision that would shutter all but a handful of abortion clinics in Texas.

Basic Statistics in Multivariate Analysis (Pocket Guides to Social Work Research Methods) by Karen A. Randolph and Laura L. Myers
English | 2013 | ISBN: 0199764042 | 224 pages | PDF | 1 MB

For those who aren’t yet familiar with R, let’s begin with a quick overview. To start, R is a fascinating programming language, one that has recently become an appealing skill to add to your resume. That’s partly because the language has grown significantly in popularity; it’s now used in a range of professions including software development, business analysis, statistical reporting and scientific research. It’s more likely than ever that you’ll encounter R in your organization — and you’ll probably even find reasons to use it yourself.

If you need proof, look no further than R’s growth, which is reflected in a number of independent lists; it has bounced around in the top 20 languages in the Tiobe Index of Programming Language Popularity for the last several years. In 2015, IEEE listed R at 6 in the top 10 languages of 2015. Additionally, as the amount of data-intensive work increases, the demand for tools like R for processing, data-mining and visualization will also increase.

R originated as an open-source version of the S programming language in the 90s. Since then, it has gained the support of a number of companies, most notably RStudio and Revolution Analytics which created tools, packages, and services related to the language. But it isn’t limited to these more specialized companies; R also has support from large companies that power some of the largest relational databases in the world. Oracle, for one, has incorporated R into its offerings. Earlier this year Microsoft acquired Revolution Analytics and is including the language in SQLServer 2016.  SQLServer administrators and .NET developers now have R at their fingertips, installed with their standard platform tools.

R in higher education
Here’s a fun fact: R originated in academia. Ross Ihaka and Robert Gentleman at the University of Auckland in New Zealand created it, and it’s been widely adopted in graduate programs that include intensive statistical study. R has also been used in Massive open online courses (MOOCs) such as the Coursera Data Science Program and in courses here at Pluralsight (including my own on R and RStudio). Folks taking graduate studies that involve crunching data are bound to encounter R, and like many other technologies, its introduction in schools leads naturally to its wider adoption in industry. R’s presence in higher education is confirmation of the demand for these skills in business settings.

R is profitable
Technology is fun, sure, but most of us who enjoy it also do it for a living. Fortunately, R is not only a pleasure to use, but its demand in business often equates to higher salaries for its practitioners. The Dice Technology Salary Survey conducted last year ranked R as a highest-paying skill. The most recent O’Reilly Data Science Salary Survey also includes R among the skills used by the highest paid data scientists.

The R community is diverse, with many individuals coming from unique professional backgrounds. This list includes academics, scientists, statisticians, business analysts and professional programmers, among others. CRAN, the comprehensive R Archive Network, maintains packages created by community members that reflect this colorful background. Packages exist to perform stock market analysis, create maps, engage in high-throughput genomic analysis and do natural language processing.  This is only the tip of the iceberg; over 7000 packages are available on CRAN as of this writing. Additionally, R-Bloggers is a blog-aggregation site that serves as a hub for news related to the R community.