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 [email protected] 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
