# plots

### introduction to R: learning by doing (part 2: plots)

July 10, 2012 |

Lets go one with the second part of learning R by doing R (you will find the first part here. As we have used vectors, matrices and loops in the first part, we will concentrate on graphics in this one. but first we will need data to plot: Sometimes you ... [Read more...]

### Bare-bones intro to Plotting options in R

March 21, 2012 |

If you’re using base::plot in R for the first time (for example if you do plot(pima) or plot(faithful) (use ??pima if you can’t find the dataset)) you may have looked at ?plot (2 page help file) or ?par (12 page help file) to figure out what’s ... [Read more...]

### Beeswarm Boxplot (and plotting it with R)

March 10, 2011 |

(The image above is called a “Beeswarm Boxplot” , the code for producing this image is provided at the end of this post) The above plot is implemented under different names in different softwares. This “Scatter Dot Beeswarm Box Violin – plot” (in the lack of an agreed upon term) is a ... [Read more...]

### Once again, chart critics and graph gurus welcome

December 10, 2010 |

HOW TO DISPLAY A LINE PLOT WITH COUNT INFORMATION? In a previously-mentioned paper Sharad and your DSN editor are writing up, there is the above line plot with points. The area of each point shows the count of observations. It’s done in R with ggplot2 (hooray for Hadley). We ... [Read more...]

### A different way to view probability densities

June 12, 2010 |

The standard, textbook way to represent a density function looks like this: Perhaps you have seen this before? (Plot created in R, all source code from this post is included at the end). Not only will you find this plot in statistics books, you’ll also see it in medical ... [Read more...]

### Changing the fonts in R plots

October 28, 2007 |

Tweet I use R to do almost all of my statistical analysis and plotting. It has a very steep learning curve but once you get into it, it’s very powerful and you can customise almost anything. The only problem is that these changes are not always obvious or easy ...