[R-sig-eco] FREE 1 DAY INTRO TO R

[Oliver Hooker]

FREE 1 DAY INTRO TO R AND R STUDIO (FIRR01)

20 October 2021

https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01/



Course Overview:

In this free one day course, we provide a comprehensive introduction to R
and how it can be used for data science and statistics. We begin by
providing a thorough introduction to RStudio, which is the most popular and
powerful interfaces for using R. We then introduce all the fundamentals of
the R language and R environment: variables and assignment, data
structures, operators, functions, scripts, packages, projects, etc.



IF YOU ARE IN A POSITION TO CONTRIBUTE TOWARDS YOUR PLACE IT WOULD BE
APPRECIATED SO WE CAN USE ANY REVENUE TO FUND OTHER FREE COURSES – THERE IS
THE OPTION TO PURCHASE A TICKET FOR £20.00



WE RECOMMEND ORGANISING A SAMALL GROUP IF YOU HAVE COLLEAGUES WHO ALSO WANT
TO ATTEND, THIS WAY WE CAN MAXIMISE HOW MANY PEOPLE CAN ACCESS THE COURSE



THIS IS A FREE INTRODUCTORY COURSE – LOOK OUT FOR COURSES WITH THE SAME
COURSE IMAGE TO FIND MORE PAID COURSES IN THIS SERIES



Topic 1: The What and Why of R. We’ll start by briefly explaining what R
is, what is used for, and why is has become so popular.


Topic 2: Guided tour of RStudio. RStudio is the most widely used interface
to R. We will provide a tour of all its parts and features and how to use
it effectively.


Topic 3: First steps in R. Now, we cover all the fundamentals of R and the
R environment. These include variables and assignment, data structures such
as vectors, data frames, lists, etc, operations on data structures,
functions, scripts, installing and loading packages, using RStudio
projects, reading in data, etc. This topic will be detailed so that
everyone obtains a solid grasp on these fundamentals, which makes all
subsequent learning much easier.



Other upcoming courses



FREE 1 DAY INTRO TO R AND R STUDIO (FIRR01)

https://www.prstatistics.com/course/free-1-day-intro-to-r-and-r-studio-firr01/

20 October 2021



Introduction to generalised linear models using R and Rstudio (IGLM04)
https://www.prstatistics.com/course/introduction-to-generalised-linear-models-using-r-and-rstudio-iglm04/
3 November 2021 - 4 November 2021



Introduction to mixed models using R and Rstudio (IMMR05)
https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr05/
10 November 2021 - 11 November 2021



Introduction to Machine Learning and Deep Learning using R (IMDL02)
https://www.prstatistics.com/course/introduction-to-machine-learning-and-deep-learning-using-r-imdl02/
17 November 2021 - 18 November 2021



Model selection and model simplification (MSMS02)
https://www.prstatistics.com/course/model-selection-and-model-simplification-msms02/
24 November 2021 - 25 November 2021



Species distribution modelling with Bayesian statistics in R (SDMB03)
www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/
6 December 2021 - 10 December 2021



Introduction to Hidden Markov and State Space models (HMSS01)
https://www.prstatistics.com/course/introduction-to-hidden-markov-and-state-space-models-hmss01/
8 December 2021 - 9 December 2021



Time Series Data Analysis (TSDA01)
https://www.prstatistics.com/course/time-series-data-analysis-tsda01/
14 December 2021 - 17 December 2021



Bayesian Data Analysis (BADA01)
https://www.prstatistics.com/course/bayesian-data-analysis-bada01/
10th January 2022 - 14th January 2022



Introduction to Stan for Bayesian Data Analysis (ISBD01)
https://www.prstatistics.com/course/introduction-to-stan-for-bayesian-data-analysis-isbd01/
18th January 2022 - 20th January 2022



Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08)
https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/
1st February 2022 - 4th February 2022



Species Distribution Modeling using R (SDMR04)
www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/
21 September 2021 - 30 September 2021



Introduction to eco-phylogenetics and comparative analyses using R (ECPH01)
This course will be delivered live
https://www.prstatistics.com/course/introduction-to-eco-phylogenetics-and-comparative-analyses-using-r-ecph01/

22 September 2021 - 28 September 2021



ONLINE COURSE – Functional ecology from organism to ecosystem: theory and
computation (FEER02)

https://www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/

5th September 2022 - 9th September 2022



Multivariate analysis of ecological communities in R with the VEGAN package
(VGNR04)
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr04/
<http://www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/>
4 October 2021 - 8 October

-- 
Oliver Hooker PhD.
PR statistics

Species Distribution Modeling using R

21 September 2021 - 30 September


Introduction to eco-phylogenetics and comparative analyses using R 22
September 2021 - 28 September 2021



Multivariate analysis of ecological communities in R with the VEGAN package

4 October 2021 - 8 October



Introduction to Data Wrangling and Data Visualization using R

4 October 2021 - 8 October 2021

Introduction to Bayesian modelling with INLA

4 October 2021 - 8 October 2021

 Landscape genetic data analysis using R

18 October 2021 - 27 October 2021

FREE 1 DAY INTRO TO R AND R STUDIO

20 October 2021


 Introduction to generalised linear models using R and Rstudio

3 November 2021 - 4 November 2021

 Introduction to mixed models using R and Rstudio

10 November 2021 - 11 November 2021

 Introduction to Machine Learning and Deep Learning using R

17 November 2021 - 18 November 2021

Model selection and model simplification

24 November 2021 - 25 November 2021


 Species distribution modelling with Bayesian statistics in R

6 December 2021 - 10 December 2021

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