Tag: statistics

Feed: R-bloggers. Author: Easy Guides. simplyR is a web space where we’ll be posting practical and easy guides for solving real important problems using R programming language. As we aren’t fans of unnecessary complications, we’ll keep the content of our tutorials / R codes as simple as possible. Many tutorials are coming soon. Topics we love include: R programming Biostatistics Genomic data analysis Survival analysis Machine/statistical learning Data visualization Samples of our recent publications, on R & Data Science, are: If you want to contribute, read this: http://www.sthda.com/english/pages/contribute-to-sthda Related To leave a comment for the author, please follow the link ... Read More

Feed: R-bloggers. Author: John Mount. dplyr is one of the most popular R packages. It is powerful and important. But is it in fact easily comprehensible?dplyr makes sense to those of us who use it a lot. And we can teach part time R users a lot of the common good use patterns. But, is it an easy task to study and characterize dplyr itself? Please take our advanced dplyr quiz to test your dplyr mettle. “Pop dplyr quiz, hot-shot! There is data in a pipe. What does each verb do?” Related To leave a comment for the author, please ... Read More

Feed: R-bloggers. Author: Anu Rajaram. Hello Readers, This is a notification post – Did you realize our website has moved? The blog is live at New JA Blog under the domain http://www.journeyofanalytics.com . You can read about the rent analysis post here. If you received this post AND an email from anu_analytics, then please disregard this post. If you received this post update from WordPress, but did NOT receive an email from anu_analytics (via MailChimp email) then please send us an email at [email protected] . The email from the main site was sent out 4 hours ago. Alternatively, you can sign ... Read More

Feed: R-bloggers. Author: Peter's stats stuff - R. Income inequality data Ideally the Gini coefficient to estimate inequality is based on original household survey data with hundreds or thousands of data points. Often this data isn’t available due to access restrictions from privacy or other concerns, and all that is published is some kind of aggregate measure. Some aggregations include the income at the 80th percentile divided by that at the 20th (or 90 and 10); the number of people at the top of the distribution whose combined income is equal to that of everyone else; or the income of ... Read More

Feed: CDH – Cloudera Engineering Blog. Author: Justin Kestelyn. Released with CDH 5.8, Impala 2.6 brings solid performance improvements, particularly for clusters secured by Kerberos running BI workloads on Apache Hadoop. Just a few months back, we showed you how Impala 2.5 delivered a 4x performance boost compared to Impala 2.3 for BI workloads on Hadoop via the introduction of several features like runtime filters. Here’s an update: Compared to two releases ago, Impala 2.6 delivers 12x better performance on secure workloads and continues this drumbeat of consistent performance improvement. We are excited to share details on performance improvements in ... Read More

Feed: R-bloggers. Author: Euthymios Kasvikis. INTRODUCTION The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists. This package may allows us to implement features like interactivity, but on the other hand every interactive ggvis plot must be connected to a running R session.Before proceeding, please follow our short tutorial.Look at the examples given and try to understand the logic behind them. Then try to solve the exercises below using R and without looking at the answers. Then ... Read More

Feed: R-bloggers. Author: R Views. Editor’s Note: The 2017 Chapman University DataFest was held during the weekend of April 21-23. The 2018 DataFest will be held during the weekend of April 27-29. DataFest was founded by Rob Gould in 2011 at UCLA with 40 students. In just seven years, it has grown to 31 sites in three countries. Have a look at Mine Çetinkaya-Rundel’s post Growth of DataFest over the years for the details. In recent years, it has been difficult for UCLA to keep up with the growing interest and demand from southern California universities. This year, the Chapman ... Read More

Feed: R-bloggers. Author: mareviv. Finally, -after 24h of failed attempts-, I could get my favourite Hugo theme up and running with R Studio and Blogdown. All the steps I followed are detailed in my new Blogdown entry, which is also a GitHub repo. After exploring some alternatives, like Shirin’s (with Jekyll), and Amber Thomas advice (which involved Git skills beyond my basic abilities), I was able to install Yihui’s hugo-lithium-theme in a new repository. However, I wanted to explore other blog templates, hosted in GiHub, like: The three first themes are currently linked in the blogdown documentation as being most ... Read More

Feed: R-bloggers. Author: David Smith. Making your code run faster is often the primary goal when using parallel programming techniques in R, but sometimes the effort of converting your code to use a parallel framework leads only to disappointment, at least initially. Norman Matloff, author of Parallel Computing for Data Science: With Examples in R, C++ and CUDA, has shared chapter 2 of that book online, and it describes some of the issues that can lead to poor performance. They include: Communications overhead, particularly an issue with fine-grained parallelism consisting of a very large number of relatively small tasks; Load balance, where ... Read More

Feed: R-bloggers. Author: Roger Oberg. RStudio is excited to announce the availability of RStudio Server Pro on the Google Cloud Platform. RStudio Server Pro GCP is identical to RStudio Server Pro, but with additional convenience for data scientists, including pre-installation of multiple versions of R, common systems libraries, and the BigQuery package for R. RStudio Server Pro GCP adapts to your unique circumstances. It allows you to choose different GCP computing instances for RStudio Server Pro no matter how large, whenever a project requires it (hourly pricing). If the enhanced security, support for multiple R versions and multiple sessions, and ... Read More