ggfittext

ggfittext provides some useful text displaying capability to ggplot2, including a new geom called geom_bar_text. 

Getting past the little hiccups to getting plotly animations into slides

 Very helpful post regarding how to use plotly graph in xaringan slides. 

Animate a line plot

This is very helpful.

Visualization and animation

Fascinating resources here.

Advanced graphics using ggplot2

Here are a list of good resources:

1. Top 50 ggplot2 Visualizations - The Master List (With Full R Code)
2. ggplot2 extensions
3. ggthemes

Exploring Minard's 1812 plot with ggplot2

Very cool post.

ggplot2 extensions

Here is a list of ggplot2 extension packages.

Cheatsheet for ggplot2

Here is a cheatsheet for the ggplot2 package.

A ggplot2 theme for Science

Here.

Using shapefiles with ggmap

Demo here.

Using Zelig and ggplot2 together

I am not the only person doing that, apparently. Here is an example.

Extra themes for ggplot2

Ggthemes is a new package that provides additional themes for ggplot2. It can even be used to draw a Stata-like graph. I particularly like the Tufte-style, as outlined in The Visual Display of Quantitative Information. 

Processing Stan samples with ggmcmc

Very helpful post.

Drawing a map

This post explains how to draw a China map using ggplot2 and online data sources. The blog is generally interesting.

This one is based on OpenStreetMap. Very helpful.

Use JAGS with ggplot2

Here is a short demo of how to use JAGS with ggplot2.

Legends in ggplot2

A simple plot takes a few lines of coding:


g1 <- ggplot(d, aes(birth.year))


g2 <- g1 + geom_line(aes(y=alive0, linetype="Famale")) + 
geom_line(aes(y=alive1, linetype="Male")) + scale_linetype_discrete(name = "")


g3 <- g2 + geom_point(aes(y=alive0, shape="Famale")) + 
geom_point(aes(y=alive1, shape="Male")) + scale_x_continuous("") + scale_y_continuous("Proportion Alive in 1982") + opts(legend.position=c(.24, .95), legend.justification = c(1, 1)) + scale_shape_discrete(name="")


g4 <- g3 + labs(fill="")

Labels and legends in ggplot2 figure

I struggled with getting the labels and legends right in my ggplot2 figure and found this web page very helpful.

Here are some discussions about how to change the font size for the labels.

A few summary functions used by ggplot2

I could not quite figure out what the summary function "mean_sdl" stands for, so I took at a look at the source code "stat-summary.r". It turns out that this is a wrapper function of the "smean_sdl()" of the Hmisc package, as well as the "median_hilow", "mean_cl_normal" and "mean_cl_boot".

Ggplot2, some tricks

Here is how to remove the grey in the background as well as the grid, a modification of the default black/white theme.