# 3155 search results for "MAP"

## The Circus Tent Problem with R’s Quadprog

April 20, 2014
By

The MathWorks has an interesting demo on how the shape of a circus tent can be modeled as the solution of a quadratic program in MATLAB. In this post, we'll show how to solve this same problem in R using the quadprog package and also provide the technical details not covered in the Mathwork's example. In...

## The Current Golden Era of the NBA

April 18, 2014
By

We are in the midst of what many are calling a "golden age" of the NBA.  Being in the midst of a time where attention to the sport has seemingly increased is difficult to quantify.  For most people who have had an interest in the NBA over a l...

## Reot: Empirical Orthogonal Teleconnections in R

April 18, 2014
By

We are happy to introduce Reot, an R package designed for empirical orthogonal teleconnection (EOT) analysis of gridded geo-scientific space-time data based on the method by van den Dool et al. (2000). EOT denotes a regression-based approach to decompose spatio-temporal … Continue reading →

## Time Series Analysis using R – forecast package

April 17, 2014
By

In today’s blog post, we shall look into time series analysis using R package – forecast. Objective of the post will be explaining the different methods available in forecast package which can be applied while dealing with time series analysis/forecasting. What is Time Series?A time series is a collection of observations of...

## Make your ggplots shareable, collaborative, and with D3

April 17, 2014
By

Editor's note: This is a guest post from Matt Sundquist form the Plot.ly team. You can access the source code for this post at https://gist.github.com/sckott/10991885 Ggplotly and Plotly's R API let you make ggplot2 plots, add py\$ggplotly(), and make your plots interactive, online, and drawn with D3. Let's make some. 1. Getting Started and Examples Here is Fisher's iris...

## Using R — Working with Geospatial Data (and ggplot2)

April 16, 2014
By

This is a follow-up blog-post to an earlier introductory post by Steven Brey: Using R: Working with Geospatial Data. In this post, we’ll learn how to plot geospatial data in ggplot2. Why might we want to do this? Well, it’s really …   read more ...

## Errors on percentage errors

April 16, 2014
By

The MAPE (mean absolute percentage error) is a popular measure for forecast accuracy and is defined as     where denotes an observation and denotes its forecast, and the mean is taken over . Armstrong (1985, p.348) was the first (to my knowledge) to point out the asymmetry of the MAPE saying that “it has a bias favoring estimates...

## Impact of Dimensionality on Data in Pictures

April 16, 2014
By

I am excited to announce that this is supposed to be my first article published also on r-bloggers.com :) The processing of data needs to take dimensionality into account as usual metrics change their behaviour in subtle ways, which impacts the … Continue reading → The post Impact of Dimensionality on Data in Pictures appeared first on

## Exploring US healthcare data

April 13, 2014
By

A few days ago, the Centers for Medicare and Medicaid Services (CMS) released some unprecedented data on the US healthcare system. The data consists of 9 million rows showing how much each doctor in the US charged Medicare, for what, and how much Medicare paid out. It doesn't quite cover everything (for example, services with less than 11...

## Survey: Computing Your Own Post-Stratification Weights in R

April 13, 2014
By

Social Science Goes R: Weighted Survey Data Survey Data: Computing Your Own Weights The second installment in my series on working with survey data in R explains how to compute your own post-stratification weights to use with survey data. For a more...