Introduction to statistics and R for everyone (IRFE02)
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe02/#
This course will be delivered by Dr Aris Mustakas from the 17th - 20th May 2019 take at Myuna Bay Sport and recreation center, Australia.
(This course is automatically followed by the course 'Statistical toolkit for ecologists (STKE01)' and a discount is available for booking both.
https://www.prstatistics.com/course/statistical-toolkit-for-ecologists-stke01/
Course Overview:
This course will provide attendees with the opportunity to learn how (a) to understand and read modern statistics reported in scientific studies, (b) use basic modern statistics for analysing their own data, using the open access R statistical software. The course will focus more on data deriving from life sciences namely medicine, biology, and ecology. The course will initially revise basic statistical knowledge of what is a sample and a distribution, and what is hypothesis testing. Sequentially, attendees will be introduced to the R statistical software. Then the course will proceed with the use of generalised linear models and their equivalency with t-tests, ANOVA, MANOVA and ANCOVA for analysing normally as well as non-normally distributed data and ultimately quantify results, errors, and uncertainty. Attendees will also learn how to produce quality graphs and figures.
Course Programme
Monday 18th – Classes from 09:00 to 17:00
Lecture
1-1) Revision of basic statistics: what is a distribution, sampling, data types, factors, basic statistical tests
1-2) Introduction to the R environment
1-3) Packages, names, data types
1-4) Read, write, access, manipulate data
Practical
1-1) Install R packages
1-2) Load datasets
1-3) Perform basic statistics, t-tests, ANOVA
Tuesday 19th – Classes from 09:00 to 17:00
Lecture
2-1) Experimental design, probability distributions, parameter estimation, confidence intervals
2-2) Null hypothesis testing
2-3) Multiple comparisons, Generalized ANOVA, MANOVA, MANCOVA and their equivalency (and easiness of doing so) using a Generalized Linear Model
Practical
2-1) Simple linear regression
2-2) Fitting generalized linear models in real normally-distributed datasets
Wednesday 20th – Classes from 09:00 to 17:00
Lecture
3-1) Generalizing the regression for many dependent variables
3-2) Model selection and multi-model inference
3-3) Plotting effects
3-4) Checking model assumptions and residuals
Practical
3-1) A full normally distributed data analysis
3-2) Model fitting
3-3) ANOVA
3-4) Residuals
3-5) Plotting effects reporting results
Thursday 21st – Classes from 09:00 to 17:00
Lecture
4-1) Time-to-event (survival analysis)
4-2) Logistic regression
4-3) Mixed effects models – fixed effects and random effects
Practical
4-1) Survival analysis and plotting results
4-2) Fitting mixed effects models, understanding the difference between random and fixed effects
4-3) Plotting all effects
Friday 22nd – Classes from 09:00 to 16:00
Lecture
5-1) Dealing with non-normally distributed data
5-2) Identifying the distribution of the data
5-3) Generalizing the linear model for non-normally distributed data
5-4) Data visualisation – Plotting publication quality figures
Practical
5-1) Identifying the distribution of the data through AIC model selection
5-2) Fitting the best model residual error structure in a generalised linear model
5-3) Understanding, plotting, interpreting (reporting) and discussing results
Email [log in to unmask]
Check out our sister sites,
www.PRstatistics.com (Ecology and Life Sciences)
www.PRinformatics.com (Bioinformatics and data science)
www.PSstatistics.com (Behaviour and cognition)
1. March 11th – 15th 2019
ECOLOGICAL NICHE MODELLING USING R (ENMR03)
Glasgow, Scotland, Dr. Neftali Sillero
http://www.prstatistics.com/course/ecological-niche-modelling-using-r-enmr03/
2. March 25th – 29th 2019
LANDSCAPE GENETIC DATA ANALYSIS USING R (LNDG03)
Glasgow, Scotland, Prof. Rodney Dyer
http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r-lndg03/
3. April 1st – 5th 2019
INTRODUCTION TO STATISTICAL MODELLING FOR PSYCHOLOGISTS USING R (IPSY01)
Glasgow, Scotland, Dr. Dale Barr, Dr Luc Bussierre
http://www.psstatistics.com/course/introduction-to-statistics-using-r-for-psychologists-ipsy02/
4. April 1st – 5th 2019
INDIVIDUAL BASED MODELS FOR ECOLOGSITS (IBME01)
Glasgow, Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/individual-based-models-using-r-and-netlogo-ibms01/
5. April 8th – 12th 2019
MACHINE LEARNING (MLUR01)
Glasgow, Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/machine-learning-using-r-mlur01/
6. April 15th – 19th 2019
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06)
Athens, GREECE,, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb07/
7. April 22nd – 26th 2019
GIS USING R (GISR)
Glasgow, Scotland, Dr Luca Nelli
https://www.prstatistics.com/course/gis-using-r-gisr01/
8. April 29th – May 3rd 2019
Multivariate analysis of ecological communities in R with the VEGAN package (VGNR02)
Orford Musique, Quebec, Canada, Dr. Guillaume Blanchet
https://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr02/
9. May 6th – 10th 2019
AN EXPLORATION OF R FOR PSYCHOLOGISTS: FROM DATA HANDLING TO MULTILEVEL MODELLING (XPLR01)
Myuna Bay, AUSTRALIA, Dr. Sean Murphy
https://www.psstatistics.com/course/an-exploration-of-r-for-psychologists-from-data-handling-to-multilevel-modelling-xplr01/
10. May 16th – 19th 2019 (please note this a 4-day course from Thursday to Monday)
INTRODUCTION TO R FOR EVERYONE (IRFE02)
Myuna Bay, AUSTRALIA, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/introduction-to-statistics-and-r-for-anyone-irfe02/
11. May 20th – 24th 2019
MODEL BASE MULTIVARIATE ANALYSIS OF ABUNDANCE DATA USING R (MBMV03)
Myuna Bay, AUSTRALIA, Prof. David Warton
https://www.prstatistics.com/course/model-based-multivariate-analysis-of-abundance-data-using-r-mbmv03/
12. May 21st – 24th 2019
STATISTICAL TOOLKIT FOR ECOLOGISTS (STKE01)
Myuna Bay, AUSTRALIA, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/statistical-toolkit-for-ecologists-stke01/
13. June 10th – 14th 2019
STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR (SIMM04)
Glasgow, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson
www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm04/
14. June 17th – 21st 2019
SPATIAL MODELLING AND ANALYSIS OF ADAPTIVE GENOMIC VARIATION (SPGN01)
Glasgow, Dr. Matt Fitzpatrick
https://www.prstatistics.com/course/spatial-modelling-and-analysis-of-adaptive-genomic-variation-spgn01/
15. June 17th – 21st 2019
INTRODUCTION TO PYTHON FOR BIOLOGISTS (IPYB06)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/introduction-to-python-for-biologists-ipyb06/
16. June 24th – 28th 2019
ADVANCED PYTHON FOR BIOLOGISTS (APYB03)
Glasgow, Scotland, Dr. Martin Jones
www.prinformatics.com/course/advanced-python-biologists-apyb03/
17. July 1st – 5th 2019
BIOACOUSTICS FOR ECOLOGISTS: HARDWARE, SURVEY DESIGN AND DATA ANALYSIS (BIAC01)
Glasgow, Scotland, Dr. Paul Howden-Leach
https://www.prstatistics.com/course/bioacoustics-for-ecologists-hardware-survey-design-and-data-analysis-biac01/
18. July 1st – 5th 2019
DATA VISUALISATION AND MANIPULATION USING PYTHON (DVMP01)
Glasgow, Scotland, Dr. Martin Jones
http://www.prinformatics.com/course/data-visualisation-and-manipulation-using-python-dvmp01/
19. July 8th – 12th 2019
INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING USING R (IBHM03)
Glasgow, Scotland, Dr. Andrew Parnell
https://www.psstatistics.com/course/introduction-to-bayesian-hierarchical-modelling-using-r-ibhm03/
20. July 29th – August 2nd 2019
INTRODUCTION TO SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R (ISPE01)
Glasgow, Scotland, Dr. Jakub Nowosad
https://www.prstatistics.com/course/introduction-to-spatial-analysis-of-ecological-data-using-r-ispe01/
21. September 2nd – 6th 2019
MARK RECAPTURE METHODS USING R
Glasgow, Scotland, Dr. Joanne Potts, Dr. David Borchers
https://www.prstatistics.com/course/mark-recapture-methods-using-r-mark01/
22. September 16th – 20th 2019
R PACKAGE DESIGN AND DEVELOPMENT AND REPRODUCIBLE DATA SCIENCE FOR BIOLOGISTS (RPKG01)
Glasgow, Scotland, Dr. Cory Merow, Dr. Andy Rominger
https://www.prstatistics.com/course/r-package-design-and-development-and-reproducible-data-science-for-biologists-rpkg01/
23. September 30th – October 4th 2019
GEOMETRIC MORPHOMETRICS USING R (GMMR02)
Glasgow, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou
http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr02/
24. October 7th – 11th 2019
General additive models (GAM) and mixed models (GAMM) (GAMM01)
Glasgow, Scotland, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/general-additive-models-gam-and-mixed-models-gamm-gamm01/
25. October 7th – 11th 2019
CONSERVATION PLANNING USING PRIORITIZR : FROM THEORY TO PRACTICE (PRTZ01)
Athens, GREECE, Dr Richard Schuster and Nina Morell
https://www.prstatistics.com/course/conservation-planning-using-prioritizr-from-theory-to-practice-prtz01/
26. October 21st – 25th 2019
A COMPLETE GUIDE TO MIXED MODELS (INCLUDING TEMPORAL AND SPATIAL AUTOCORRELATION) (MMTS01)
Athens, GREECE, Dr Aristides (Aris) Moustakas
https://www.prstatistics.com/course/a-complete-guide-to-mixed-models-including-temporal-and-spatial-autocorrelation-mmts01/
27. November 18th – 22nd 2019
INTRODUCTION TO STRUCTURED POPULATION MODELS AND DEMOGRAPHIC DISTRIBUTION MODELS (IIPM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/introduction-to-structured-population-models-and-demographic-distribution-models-iipm01/
28. November 25th – 29th 2019
ADVANCED RANGE, NICHE, AND DISTRIBUTION MODELING (ASDM01)
Athens, GREECE, Dr Cory Merow
https://www.prstatistics.com/course/advanced-range-niche-and-distribution-modeling-asdm01/
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