# R

- Introduction to R for data science
- Reshape2 tutorial
- Curated list of R tutorials for data science
- Tufte in R
- An introduction to R
- R on Stackoverflow
- Rabbit – Introduction to R
- John D Cook
- RProgramming net
- R language definition
- Paul Johnson’s R Working Examples
- Paul Johnson’s R tips
- Mathematical Annotation in R
- Regular expressions quick start
- Advanced R programming
- Rcheology
- One PageR
- Some hints for the R beginner
- Tutorials – Burns statistics
- SWIRL (Statistics with interactive R Learning)
- Computer World’s begineers guide
- tryR codeschool
- IcebreakeR
- A short introduction to R
- R Cheat Sheets
- The R Journal
- CRANberries information about new packages and package updates
- R-bloggers
- Quick-R
- On-line documentation
- RStartHere
- R-project for statistical computing
- Dotwhisker plots of regression results
- intro to spatial analysis in R

# Reproducible research

# Testing

# ggplot

- Documents
- Cheat Sheet
- Builing up a ggplot
- ggplot tutorials
- Graphic Parameters – symbols, linetypes and colours
- ggplot extensions
- ggtheme
- Top 50 ggplot2 visualizations
- Data visualization Parts 1, 2 and 3.
- How to make high quality data visualizations for websites

# Graphics

- R graph compendium
- Graph catalog
- Multiplanel plotting in R
- Graphical parameters
- Plotly shiny gallery
- Colours in R

# Mathematical annotation on R plots

- Mathematical annotation in R (astrophysics)
- Mathematical annotation in R (R-manual)
- Mathematical annotations in R plots (Rob Hyndman)
- latex2exp
- Math symbols in R charts: a cheat sheet

# Version control (inc github)

# Latex

# Knitr

# Statistics

- Learning statistics on youtube
- Exploring Anscombe’s quartet
- OpenIntro an online statistics text book
- BayesComp wiki for Bayesian analysis and modelling
- How to share data with a statistician

# Mathematics

- CodeCogs
- Encyclopedia of integer sequences
- MathPortal
- Khan Academy
- WolframMathWorld

# Hydrologic data

- New Victorian data warehouse
- Murray Peel’s data links
- Global Precipitation Climatology Centre
- Global Runoff Data Centre
- Hydro1k (topographic data)
- National Map (Australian Government data sets)
- GRIDDA calculates area-averages of gridded climate data for catchments delineated in shapefiles

# Climate change

- Climate change in Australia (CSIRO)
- Climate change clearing house
- Inside Climate News
- Skeptical Science
- CO
_{2}at Cape Grim - CO
_{2}Mauna Loa, Hawaii

# Water quality

# Science magazines

# Shiny

# Floods

- How to minimise flood damage in your home
- Understanding floods: questions and answers
- Essential guide to flood preparation and planning
- FloodSmart.gov Tools and Resources
- http://www.thebigflood.com.au/resources.html

National Flood Risk Advisory Group Guidelines

# Hydrology and R

# Data transformation

- Transformations, an introduction
- Why not log transform?
- Dealing with Non-normal Data: Strategies and Tools
- How do you approach transformations when modelling

# Other water sites

# Hydrology teaching

- HydroViz
- David Maidment’s teaching materials
- Todd Rasumssen’s teaching materials
- Teaching Commons – Resources (Stanford University)
- Centre for Teaching Excellence – Resources (Waterloo, Ca)
- Effective classroom practices (The Harriet W. Sheridan Center, Brown University)
- Warm up exercises and icebreakers (University of Sydney)

# Tides

# Reviewing tools

- Annotating Manuscripts Anonymously
- Guidelines for reviewing papers
- Citing
- Advice on reviewing a paper

# Photos

# Other blogs

# Snakes and ladders

- Basics on Markov Chain for parents (Snakes and Ladders)
- Uncertainty in Markov Chains: fun with snakes and ladders
- Simulating snakes and ladders
- More snakes and ladders

Mahrez SADAOUIPlease can you reactivate the following links :

Hydrology and R

Hydrological data analysis and modelling

A modeler’s tributions, Gopi Goteti’s web log

Thank you

tonyladsonPost authorThese sites seem to have disappeared. I’ve added some others under the Hydrology and R heading.