"Introduction to R and statistics for biologists"
Delivered by Dr. Luc Bussiere and Dr. Ane Timenes Laugen
http://www.prstatistics.com/course/introduction-to-statistics-and-r-for-biologists-irfb02/
This course will run from 17th – 21st April 2017 at FAFU University, Fuzhou, China
A more advanced follow on course is scheduled for the week after (Advancing in R) and a discount is available if both courses are booked at the same time.
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr06/
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.
Course content is as follows
Day 1 Course introduction
Module 1: Introduction to coding in the R language
Module 2: Data visualization in the R {graphics} package
Day 2
Module 3: Probability theory and distributions
Module 4: Advanced programming features in R
Day 3
Module 5: Null hypothesis testing and parameter estimation
Module 6: Replicable and systematic workflows: the ADF method
Day 4
Module 7: Introduction to linear models
Module 8: Multiple predictors & collinearity
Day 5
Module 9: Interactions & model simplification using partial F-tests
Module 10: Case study
Please email any inquiries to [log in to unmask] or visit our website www.prstatistics.com
Please feel free to distribute this material anywhere you feel is suitable
Our other upcoming courses
1. MODEL BASED MULTIVARIATE ANALYSIS OF ECOLOGICAL DATA USING R (January 2017) #MBMV
http://www.prstatistics.com/course/model-base-multivariate-analysis-of-abundance-data-using-r-mbmv01/
2. ADVANCED PYTHON FOR BIOLOGISTS (February 2017) #APYB
http://www.prstatistics.com/course/advanced-python-biologists-apyb01/
3. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR USING R (February 2017) #SIMM
http://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm03/
4. NETWORK ANAYLSIS FOR ECOLOGISTS USING R (March 2017) #NTWA
http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/
5. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA (April 2017) #MVSP
http://www.prstatistics.com/course/advances-in-spatial-analysis-of-multivariate-ecological-data-theory-and-practice-mvsp02/
6. INTRODUCTION TO STATISTICS AND R FOR BIOLOGISTS (April 2017) #IRFB
http://www.prstatistics.com/course/introduction-to-statistics-and-r-for-biologists-irfb02/
7. ADVANCING IN STATISTICAL MODELLING USING R (April 2017) #ADVR
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr05/
8. MODEL-BASED STATISTICAL INFERENCE IN ECOLOGICAL AND EVOLUTIONARY BIOGEOGRAPHY USING R (May 2017) #EEBR
9. GEOMETRIC MORPHOMETRICS USING R (June 2017) #GMMR
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/
10. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA (June 2017) #MASE
http://www.prstatistics.com/course/multivariate-analysis-of-spatial-ecological-data-using-r-mase01/
11. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 (#TSME)
12. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS (July 2017) #BIGB
http://www.prstatistics.com/course/bioinformatics-for-geneticists-and-biologists-bigb02/
13. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (August 2017) #SPAE
http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r-spae05/
14. ECOLOGICAL NICHE MODELLING (October 2017) #ENMR
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr01/
15. INTRODUCTION TO BIOINFORMATICS USING LINUX (October 2017) #IBUL
16. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS (July 2017 TBC) #SEMR
17. GENETIC DATA ANALYSIS USING R (October 2017 TBC) #GDAR
18. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R (November 2017 TBC) #LNDG
19. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS (November 2017) #ABME
http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists-epidemiologists-abme03/
20. INTRODUCTION TO METHODS FOR REMOTE SENSING (November 2017) #IRMS
21. INTRODUCTION TO PYTHON FOR BIOLOGISTS (November 2017) #IPYB
http://www.prstatistics.com/course/introduction-to-python-for-biologists-ipyb04/
22. DATA VISUALISATION AND MANIPULATION USING PYTHON (December 2017) #DVMP
http://www.prstatistics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/
23. ADVANCING IN STATISTICAL MODELLING USING R (December 2017) #ADVR
http://www.prstatistics.com/course/advancing-statistical-modelling-using-r-advr07/
24. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING (January 2018) #IBHM
http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm02/
25. PHYLOGENETIC DATA ANALYSIS USING R (TBC) #PHYL
Oliver Hooker PhD.
PR statistics
3/1
128 Brunswick Street
Glasgow
G1 1TF
+44 (0) 7966500340
www.prstatistics.com
www.prstatistics.com/organiser/oliver-hooker/
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