4902 search results for "git"

R Users, Meet Joyent Manta; Manta Users, Meet R

January 17, 2014
By

When I joined Joyent last year, I jumped on the opportunity to make R work with Joyent Manta. If you are new to Joyent, we are the High-Performance Cloud Infrastructure Company. If you are new to data analytics, the R language is a rich open-source env...

Read more »

Animated choropleths using animation, ggplot2, rCharts, googleVis and Shiny to visualize violent crime rates in different US States across 5 decades

January 17, 2014
By

This post uses animated choropleths to visualize violent crime rates in different US States across 5 decades (1961-2010). Data are retrieved from Quandl.  Animation of rCharts and googleVis based choropleths is done in the shiny server environment...

Read more »

Retail Relative Strength

January 16, 2014
By
Retail Relative Strength

So back before Thanksgiving I did a post Something to Think About Before Black Friday | rChart + dygraphs.  Well since then I have noticed that Retail relative strength has deteriorated considerably.  I thought it would be a good time to use ...

Read more »

Quilt plots. Like heat maps, only…heat maps

January 15, 2014
By
Quilt plots. Like heat maps, only…heat maps

Stephen tweets: Quilt Plots: A Simple Tool for the #Visualisation of Large Epidemiological Data buff.ly/1doSx4X— Stephen Rudd (@SAGRudd) January 15, 2014 Quilt plots. Sounds interesting. The link points to a short article in PLoS ONE, containing a table and a figure. Here is Figure 1. If you looked at that and thought “Hey, that’s a

Read more »

Popularity Contest

January 15, 2014
By
Popularity Contest

Although I am sure most of the bloggers that discuss R on R-bloggers are not all that concerned with popularity, I thought it would be interesting to analyze (with R and rCharts, of course) the popularity of these bloggers using Feedly’s API.   After building the chart, I got to thinking about these two...

Read more »

Fast-track publishing using knitr: table mania (part IV)

January 15, 2014
By
Fast-track publishing using knitr: table mania (part IV)

Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. While illustrations (previous post) are optional, tables are not, and this fourth article is therefore devoted to tables. Tables through knitr is probably one of the most powerful fast-track publishing tools, in this article I will show (1) how...

Read more »

Computing and visualizing LDA in R

January 15, 2014
By
Computing and visualizing LDA in R

As I have described before, Linear Discriminant Analysis (LDA) can be seen from two different angles. The first classify a given sample of predictors to the class with highest posterior probability . It minimizes the total probability of misclassification. To compute it uses Bayes’ rule and assume that follows a Gaussian distribution with class-specific mean

Read more »

How many more R-bloggers posts can I expect?

January 14, 2014
By
How many more R-bloggers posts can I expect?

I noticed that the monthly number of posts on R-bloggers stopped increasing over the last year. Indeed, the last couple of months saw a decline in posts compared to the previous year. Thus, has most been said and written about R already? Who knows? Wel...

Read more »

Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis

January 13, 2014
By

Many articles have been written on why R is better than Excel for data analysis.  In this post, I will summarize the reasons why R is advantageous in most data The post Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis appeared first on Fantasy Football Analytics.

Read more »

The Extra Step: Graphs for Communication versus Exploration

January 12, 2014
By
The Extra Step: Graphs for Communication versus Exploration

Visualization is a useful tool for data exploration and statistical analysis, and it’s an important method for communicating your discoveries to others. While those two uses of visualization are related, they aren’t identical. One of the reasons that I like ggplot so much is that it excels at layering together multiple views and summaries of Related posts:

Read more »