A quick follow up to the previous post: about the the scores in the 2010 Google AI competition relative to programming language. The chart above makes each language visible and discrete - and the scales are the same.library(ggplot2)df<- read.c...
To be reductive, visual displays of quantitative information might be reasonably categorized on a continuum between “data display” and “statistical graphics.” By statistical graphics, I mean a plot that displays some summary of or relationship amongst several variables, likely having undergone some processing or analysis. This may be as simple as a scatterplot of a … Read more
A Pareto plot is an enhanced bar chart. It comes in useful for deciding which bars in your bar chart are important. To see this, take a look at some made up DVD sales data. set.seed(1234) dvd_names <- c("Toy Tales 3", "The Dusk Saga: Black Out", "Urban Coitus 2", "Dragon Training for Dummies", "Germination", "Fe 
Numerical root finding methods use iteration, producing a sequence of numbers that hopefully converge towards a limits which is a root. In this post, only focus four basic algorithm on root finding, and covers bisection method, fixed point method, Newton-Raphson method, and secant method. Read More: 1896 Words Totally
Numerical root finding methods use iteration, producing a sequence of numbers that hopefully converge towards a limits which is a root. In this post, only focus four basic algorithm on root finding, and covers bisection method, fixed point method, Newton-Raphson method, and secant method. Read More: 1886 Words Totally
In a few weeks I will be visiting Chicago, and JD Long—the organizer of the local R users group—has graciously invited me to give a presentation. Ostensibly, the presentation will be on my recently released infochimps package, so I thought it was a good time to start actually putting together some examples and documentation for
Online classes are an easy and convenient way to learn more about a topic of interest. Not surprisingly, there are a variety of online resources, free and otherwise, to learn more about R. From online graduate classes, to the more “learn at your own pace” approach, here are some resources I have found useful: Programming 