swirl - Students The swirl R package makes it fun and easy to learn R programming and data science. If you are new to R, have no fear. On this page, we'll walk you through each of the steps required to begin using swirl today! Step 1: Get R Reshape R provides a variety of methods for reshaping data prior to analysis. Transpose Use the t() function to transpose a matrix or a data frame. In the later case, rownames become variable (column) names. # example using built-in dataset mtcars t(mtcars)
statistics by Terry M. Therneau Ph.D.Faculty, Mayo Clinic About a year ago there was a query about how to do "type 3" tests for a Cox model on the R help list, which someone wanted because SAS does it. The SAS addition looked suspicious to me, but as the author of the survival package I thought I should understand the issue more deeply. GrapheR: A GUI for base graphics in R How did I miss the GrapheR package? The author, Maxime Hervé, published an article about the package  in the same issue of the R Journal as we did on googleVis. Yet, it took me a package update notification on CRANbeeries to look into GrapheR in more detail - 3 years later!
R: The R Datasets Package Documentation for package ‘datasets’ version 3.3.0 DESCRIPTION file. Help Pages ARIMA Modeling with R - Listen Data This tutorial explains the theoretical concepts of time series and ARIMA modeling and how we can forecast series using ARIMA with R. Time Series A time series is a data series consisting of several values over a time interval. e.g. daily Stock Exchange closing point, weekly sales and monthly profit of a company etc. Typically, in a time series it is assumed that value at any given point of time is a result of its historical values. This assumption is the basis of performing a time series analysis.
Our top 10 Data Science articles in 2014 2014 has been a year of growth for us. We now get 10x traffic compared to what we used to get 12 months back. It gives us immense satisfaction to be able to create something which is helping more and more people every day. We only hope that we could get some more time to create more content for our audience! Free Statistical Programming Courses This list is a little different than the others. Most of this site is focused on R materials that you can consume quickly. The links below are for online coursework to help further your understanding of statistical programming.
Installing and Starting SparkR Locally on Windows OS and RStudio Introduction With the release of Apache Spark 1.4.1 on July 15th, 2015, I wanted to write a step-by-step guide to help new users get up and running with SparkR locally on a Windows machine using command shell and RStudio. SparkR provides an R frontend to Apache Spark and using Spark’s distributed computation engine allows R-Users to run large scale data analysis from the R shell. The steps listed here WILL also be documented in my upcoming online book titled “Getting Started with SparkR for Big Data Analysis” which can be accessed at: These steps will get you up and running in less than 5 mins. Prerequisite