Magic reprex
11 Jan 2017 R rbloggersMaking reproducible examples can be hard.
A few months ago I wrote about my first solo author submission to the R Journal entitled, “A Simple Guide to S3 Methods”. Unfortunately the article didn’t make it to publication on the R Journal, but admittedly that might have been a bit of a long shot.
So I’ve just submitted my first article to the R Journal!
This blog post is a repost from the Statistical Society of Australia Newsletter.
The rOpenSci Unconferene is coming to Australia and we are excited!!
A few weeks ago I spoke at the Workshop Organized by Monash Business Analytics Team (WOMBAT), held in the Melbourne Zoo (!) on Thursday and Friday the 18th and 19th February.
Visualising missing data is important when analysing a dataset. I wanted to make a plot of the presence/absence in a dataset. One package, Amelia
provides a function to do this, but I don’t like the way it looks. So I made a ggplot version of what it did.
Visualising missing data is important when analysing a dataset. I wanted to make a plot of the presence/absence in a dataset. One package, Amelia
provides a function to do this, but I don’t like the way it looks. So I made a ggplot version of what it did.
I’ve recently changed my website from Wordpress to Jekyll. In this post I try and succinctly describe how it happened.
In this post I describe how to use tally
, the dplyr
equivalent of table
.
My workflow in R now is to make a function after I copy and paste some code more than once. Sometimes I find myself using these functions more than once, across different projects.
I’m a pretty huge fan of RMarkdown, as it is a great way for me to write my code and my text together. It seems really a rather a natural thing to do. You write about your analyses, and the code is there. You update some function or some data, and your figures and tables update with it.
I’m currently in the process of writing a report using boosted regression trees. I’m currently using guidelines provided by Elith et al here, and here
I came across this interview with Hadley Wickham, the creator of one of the most widely used R packages, ggplot 2
. I thought that this quote was interesting:
In November 2013 I had the opportunity to work with the Australian Science Media Centre (AusSMC) and produce a talk explaining numbers and statistics. The deal was that it was 11 concepts on numbers and stats in 20 minutes. The concepts being:
Sometimes people are fond of saying:
"Well, you know, the thing with statistics is that you can get the statistics to say whatever you want."
I think that this is the equivalent of saying:
"...What I am saying is true because of my argument."
You can say that anything is true, but what really matters is the strength of your argument.
There are a lot of explanations of Monte Carlo approximation out there.
A friend of mine posted an interesting article on facebook today - “Honing the mind and nurturing the soul: why the humanities are underrated”. The piece is written by Professor Steven Schwartz, a distinguished academic currently residing at Oxford University after holding Vice Chancellor positions in Australia and the UK.