269 search results for "PCA"

100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages

January 2, 2013
By
100 most read R posts in 2012 (stats from R-bloggers) – big data, visualization, data manipulation, and other languages

R-bloggers.com is now three years young. The site is an (unofficial) online journal of the R statistical programming environment, written by bloggers who agreed to contribute their R articles to the site. Last year, I posted on the top 24...

Read more »

Clustering with selected Principal Components

December 28, 2012
By
Clustering with selected Principal Components

In the Visualizing Principal Components post, I looked at the Principal Components of the companies in the Dow Jones Industrial Average index over 2012. Today, I want to show how we can use Principal Components to create Clusters (i.e. form groups of similar companies based on their distance from each other) Let’s start by loading

Read more »

Visualizing Principal Components

December 22, 2012
By
Visualizing Principal Components

Principal Component Analysis (PCA) is a procedure that converts observations into linearly uncorrelated variables called principal components (Wikipedia). The PCA is a useful descriptive tool to examine your data. Today I will show how to find and visualize Principal Components. Let’s look at the components of the Dow Jones Industrial Average index over 2012. First,

Read more »

Visualising Tourism Data using R with googleVis package

December 20, 2012
By
Visualising Tourism Data using R with googleVis package

Inspired by Mages’s post on Accessing and plotting World bank data with R (using googleVis package), I created one visualising tourism receipts and international tourist  arrivals of various countries since 1995. The data used are from the World Bank’s country indicators. To see the motion chart, double click a picture below.  Code Filed under: R, Tourism

Read more »

Multidimensional scaling of REM album covers: FlagSpace revisited

December 11, 2012
By
Multidimensional scaling of REM album covers: FlagSpace revisited

By way of following up on an old in-joke, and doing something constructive because I couldn’t get to sleep, I thought I would revisit the Flag Space plot that I blogged about a while back and learn how to do it. … Continue reading →

Read more »

A thermometer in R using Arduino and Java

November 11, 2012
By
A thermometer in R using Arduino and Java

A couple of weeks ago, Markus Gesmann demonstrated the feasability of connecting R and Arduino using Processing and Rserve in a nice and simple example. This actually rekindled my interest in Arduino that I hadn’t had time to satisfy… Again I will show a very easy and simple example, but this time, transferring the data between Arduino and R...

Read more »

analyze the national survey on drug use and health (nsduh) with r

November 6, 2012
By

the national survey on drug use and health (nsduh) monitors illicit drug, alcohol, and tobacco use with more detail than any other survey out there.  if you wanna know the average age at first chewing tobacco dip, the prevalence of needle-sharing,...

Read more »

Machine learning for hackers

October 23, 2012
By
Machine learning for hackers

Which way do you prefer to learn a new material – deep theoretical background first and practice later or do you like to break things in order to fix them? If latter is your way of learning things, then most likely you will enjoy Machine Learning for Hackers. The book has chapters on machine learning

Read more »

Color Palettes in HCL Space

October 12, 2012
By
Color Palettes in HCL Space

This is a quick follow-up to my previous post about Color Palettes in RGB Space. Achim Zeileis had commented that, perhaps, it would be more informative to evaluate the color palettes in HCL (polar LUV) space, as that spectrum more accurately describes how humans perceive color. Perhaps more clear trends would emerge in HCL space,

Read more »

Long-term precipitation data for your location from the US Historical Climatology Network using R

September 19, 2012
By
Long-term precipitation data for your location from the US Historical Climatology Network using R

Abstract Long-term daily precipitation records from the US Historical Climatology Network (USHCN) are processed and summarized using R. Below is R code which examines the data from Livermore, CA, the closest available USHCN station to my present home ...

Read more »

Sponsors

Mango solutions

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

RStudio homepage

REvolution analytics

http://www.eoda.de

Plotly: collaborative, publication-quality graphing.







rapporter.net: An R based reporting and data analysis platform in the cloud