Basic R online course
Lecture 15 - Vectors and conditional statements exercise
* Count days with temperature above 35.
* Get the first frost date in January
* What this tutorial have different from others
* Who am I
Class project: R library for climate change analysis using CRONOS weather data
http://agroclimate.org/R-Course/Online%20R%20class%20project.doc
R function for retrieving weather data:
http://agroclimate.org/R-Course/getWeather.R
Just copy and paste the code on R.
My linkedin profile
http://www.linkedin.com/pub/tiago-zortea/51/463/2a5
Course links
Lecture 1 - Overview of the online basic R tutorial - http://youtu.be/Ups49fkux5A
Lecture 1.1 Optional - Why should I learn R - http://youtu.be/eORsF1FRssk
Lecture 2 - What is going to be covered - http://youtu.be/T86nz40YaU0
Lecture 3 - Getting started (installation) - http://youtu.be/bBcMCzqAwHE
Lecture 4 - Basic data manipulation - http://youtu.be/Wk3vEyQP5Uw
Lecture 5 - Basic data manipulation 2 - http://youtu.be/EJhC3xLfxdw
Lecture 6 - Data manipulation exercise solving - http://youtu.be/Uuh5Bh3IDPQ
Lecture 7 - Data types - http://youtu.be/93ovbFOMblQ
Lecture 8 - Data types 2 - http://youtu.be/6NtnzgSLCpY
Lecture 9 - Import and export data with R - http://youtu.be/fnke98HoSFs
Lecture 10 - Characters - http://youtu.be/A0Qv7szwkkw
Lecture 11 - Date/Time - http://youtu.be/lSLMHKKdQpY
Lecture 12 - Date/Time exercise solving - http://youtu.be/Px_ghIREOg0
Lecture 13 - Vectors - http://youtu.be/WM7gvWYAH-8
Lecture 14 - Conditional statements - http://youtu.be/zSDsC7ZV61o
Lecture 15 - Vectors and conditional statements exercise - http://youtu.be/SD96GtBonXU
Lecture 16 - Matrices - http://youtu.be/9xqlMVlCSbU
Lecture 17 - Looping structures in R - http://youtu.be/dxVFxBOVsXA
Lecture 18 - Loops exercise solving - http://youtu.be/VhbAKXD0lTs
Lecture 19 - Functions - http://youtu.be/c1B5TOiSNSE
Lecture 20 - Plot and Graphs - http://youtu.be/N_ow5_a14K8
Lecture 21 - Advanced data processing - http://youtu.be/cDYTQXC5KVM
Lecture 22 - Project final code overview - http://youtu.be/zkEUQxoIyjk
Lecture 23 - R packages and closing remarks - http://youtu.be/OB5VlLRq4mc
Lecture 24 - (Optional) Efficient work environment - http://youtu.be/mPmO30nGOwk
Lecture 25 - (Optional) Examples of R usage in my work - http://youtu.be/lHavpSPqXpo
