[R-sig-eco] StatsCourse.CHINA.IntroToR.April17-21

[Oliver Hooker]

Introduction to statistics using R for biologists (IRFB02)

http://www.prstatistics.com/course/introduction-to-statistics-and-r-for-biologists-irfb02/

This course will take place at FAFU university, No.15, Shangxiadian 
Road, Fuzhou, Fujian from 17th - 21st May 2017

Google map – 
https://www.google.co.uk/maps/place/%E7%A6%8F%E5%BB%BA%E5%86%9C%E6%9E%97%E5%A4%A7%E5%AD%A6/@26.084946,119.2375123,17z/data=!3m1!4b1!4m5!3m4!1s0x3440509bcfcee35f:0xf9c63d19b7962d4!8m2!3d26.084946!4d119.239701

The course is aimed at biologists with no experience using the software 
R and no understanding or exposure to statistics. The course will 
consist of a series of 10 modules each lasting roughly half a day, and 
designed to build required skills for subsequent modules and more 
advanced courses. At its conclusion, participants will have acquired 
basic skills in coding with R, and will be able to perform and interpret 
simple analyses, and critically evaluate similar analyses from the 
scientific literature and technical reports.

THIS COURSE WILL BE TAUGHT IN ENGLISH

Course Programme:

Sunday 16th Meet at Fuzhou airport or Fuzhou train station

Monday 17th
Module 1: Introduction to coding in the R language
Module 2: Data visualization in the R {graphics} package

Tuesday 18th
Module 3: Probability theory and distributions
Module 4: Advanced programming features in R

Wednesday 19th
Module 5: Null hypothesis testing and parameter estimation
Module 6: Replicable and systematic workflows: the ADF method

Thursday 20th
Module 7: Introduction to linear models
Module 8: Multiple predictors & collinearity

Friday 21st
Module 9: Interactions & model simplification using partial F-tests
Module 10: Case study


The course will consist of a mixture of lectures and hands-on 
practical’s. Data sets for computer practical’s will be provided by 
the instructors, but participants are welcome to bring their own data.

Assumed quantitative knowledge
No quantitative understanding of statistics is required.

Assumed computer background
No experience in the software R is required but some computer experience 
is preferred.

Packages
We offer two packages
• COURSE ONLY – Includes lunch and refreshments.
• ALL INCLUSIVE – Includes breakfast, lunch, dinner, refreshments 
and accommodation. Accommodation is either single or twin single sex 
en-suite rooms. Arrival Sunday 16th April and departure Friday 21st 
April PM.

If you have any questions please email oliverhooker at prstatistics.com

Our other courses
1.	ADVANCING IN STATISTICAL MODELLING USING R (December 2016, April 
2017, December 2017
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr05/
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/
2.	SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (November 2016, July 
2017)
http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae04/
3.	STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R 
(February 2017)
http://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm03/
4.	GENETIC DATA ANALYSIS USING R (TBC)
5.	BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS (July 2017)
http://www.prstatistics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/
6.	APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS 
(November 2017)
7.	INTRODUCTION TO STATISTICS AND R FOR BIOLOGISTS (April 2017)
http://www.prstatistics.com/course/introduction-to-statistics-and-r-for-biologists-irfb02/
8.	INTRODUCTION TO PYTHON FOR BIOLOGISTS (TBC)
9.	TIME SERIES MODELS FOR ECOLOGISTS AND CLIMATOLOGISTS (TBC)
10.	ADVANCES IN MULTIVAIRAITE ANALYSIS OF SPATIAL ECOLOGICAL DATA (April 
2017)
11.	ADVANCES IN DNA TAXONOMY (TBC)
12.	INTRODUCTION TO BIOINFORMATICS USING LINUX (TBC)
13.	INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/
14.	LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (TBC)
15.	PHYLOGENETIC DATA ANALYSIS USING R (TBC)
16.	MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R 
(January 2017)
http://www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv01/
17.	ADVANCED PYTHON FOR BIOLOGISTS (February 2017)
http://www.prstatistics.com/course/advanced-python-biologists-apyb01/
18.	NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March)
http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/
19.	GEOMETRIC MORPHOMETRICS USING R (June)
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/
20.	INTRODUCTION TO METHODS FOR REMOTE SENSING (July 2017)
21.	ECOLOGICAL NICHE MODELLING (TBC)
22.	ANIMAL MOVEMENT ECOLOGY (TBC)


Oliver Hooker PhD.

www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/Oliver Hooker

PR statistics
3/1
128 Brunswick Street
Glasgow
G1 1TF
+44 (0) 7966500340