# 2101 search results for "ggplot2"

## Horizon Plots in Base Graphics

August 3, 2012
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for background please see prior posts More on Horizon Charts, Application of Horizon Plots, Horizon Plot Already Available, and Cubism Horizon Charts in R There are three primary graphics routes in R (base graphics, lattice, and ggplot2), and each have...

## 2012 Olympics Swimming – 100m Butterfly Men Finals prediction

August 3, 2012
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2012 Olympics Swimming - 100m Butterfly Men Finals prediction Author: Matt Malin Inspired by mages’ blog with predictions for 100m running times, I’ve decided to perform some basic modelling (loess and linear modelling) on previous Olympic results for the 100m Butterfly Men’s medal winning results. Code setup library(XML) library(ggplot2) swimming_path <- "http://www.databasesports.com/olympics/sport/sportevent.htm?sp=SWI&enum=200" swimming_data <- readHTMLTable( readLines(swimming_path), which = 3, stringsAsFactors...

## R training: Visualization, Big Data, Data Mining, and Marketing Analytics

August 2, 2012
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Revolution Analytics is hosting several live and online courses over the next couple of months that will be of interest to R users looking to hone their skills: Visualization in R with ggplot2. Garrett Grolemund and Winston Chang instruct how to use the ggplot2 package to make, format, label and adjust graphs using R. (August 28, Redwood City, CA.)...

## Genetic algorithms: a simple R example

August 1, 2012
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Genetic algorithm is a search heuristic. GAs can generate a vast number of possible model solutions and use these to evolve towards an approximation of the best solution of the model. Hereby it mimics evolution in nature. GA generates a population, the individuals in this population (often called chromosomes) have  Read more »

## Genetic algorithms: a simple R example

August 1, 2012
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Genetic algorithm is a search heuristic. GAs can generate a vast number of possible model solutions and use these to evolve towards an approximation of the best solution of the model. Hereby it mimics evolution in nature. GA generates a population, the individuals in this population (often called chromosomes) have a given state. Once the population is generated, the state of these individuals is evaluated...

## Text and symbol size in multi-panel figures in R

July 31, 2012
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In R, there are a couple of packages that allow you to create multi-panel figures (see examples here and here), but, of course, you can also make multi-panel figures in the base package*. Below I provide a simple example for creating a multi-panel figure in the R base package with the focus on making the

## Yet Another Forecast Dashboard

July 30, 2012
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Recently, I came across quite a few examples of time series forecasting using R. Here are some examples: Time series cross-validation 4: forecasting the S&P 500 Holt-Winters forecast using ggplot2 Autoplot: Graphical Methods with ggplot2 Large-Scale Parallel Statistical Forecasting Computations in R (2011) by M. Stokely, F. Rohani, E. Tassone Forecasting time series data ARIMA

## Blue Jay and Scrub Jay : Using rvertnet to check the distributions in R

July 30, 2012
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As part of my Google Summer of Code, I am also working on another package for R called rvertnet. This package is a wrapper in R for VertNet websites. Vertnet is a vertebrate distributed database network consisting of FishNet2, MaNIS, HerpNET, and ORNIS. Out of that currently Fishnet, HerpNET and ORNIS have their v2 portals serving data. rvertnet has functions now to access

## Blue Jay and Scrub Jay : Using rvertnet to check the distributions in R

July 30, 2012
By

As part of my Google Summer of Code, I am also working on another package for R called rvertnet. This package is a wrapper in R for VertNet websites. Vertnet is a vertebrate distributed database network consisting of FishNet2, MaNIS, HerpNET, and ORNIS. Out of that currently Fishnet, HerpNET and ORNIS have their v2 portals serving data. rvertnet has functions now to access