gganimate
Made my first gganimate figure! So useful for looking at your own data and would also be great for teaching.
Made my first gganimate figure! So useful for looking at your own data and would also be great for teaching.
I recently remade my website with Hugo and Blogdown in R. I was inspired by Amber Thomas’s beautiful website, and she had written a blog post about the process of creating it. I relied heavily on her instructions and also on Jente Hidskes’ instructions, which have been updated since Amber wrote her post. I changed things a bit and avoided using the nested git repos. Hugo has tons of information on hosting using github pages.
I love how it automatically shows the compiled latex from math mode! Makes it a lot easier to read and avoid mistakes that take a long time to debug.
I was listening to Not So Standard Deviations yesterday, which combines my love of podcasts with my love of data science - highly recommend!. The hosts were talking about possibly doing their taxes and/or managing their finances in R.
One of my supervisors (Gavin Shaddick, University of Bath) has been working with his team and the WHO to estimate air pollution globally - the interactive data product went out yesterday and has been getting a lot of press! WHO Report Guardian article Science Daily article NPR NYTimes
There are a number of ways to summarize forecast accuracy across a forecast horizon, but I’ve come to realize recently how unclear it is which measure to use in which situation - and how non-standardized it is. Sometimes we have data with different units, sometimes we have data with the same units but hugely different scales, sometimes outliers, and so on. We often want a measure that isn’t hugely sensitive to outliers and is scale-independent (relative).
Animations Using the R Language hljs.initHighlightingOnLoad(); ## Animations generated in R version 3.4.0 (2017-04-21) ## using the package animation library(gapminder) library(animation) library(gganimate) library(gridExtra) library(gpclib) library(RColorBrewer) library(shiny) library(rgeos) library(stringi) library(scales) library(plyr) library(rgdal) library(maptools) library(sp) library(ggplot2) library(reshape2) library(dplyr) expr ## R version 3.4.0 (2017-04-21) ## Platform: x86_64-apple-darwin15.6.0 (64-bit) ## Other packages: gapminder 0.2.0, animation 2.5, gganimate 0.1.0.9000, gridExtra 2.2.1, ## gpclib 1.5-5, RColorBrewer 1.