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Contemporary statistical methods for Ecotoxicologists
Module 2: August 29-30, 2019 (2 days)
10% early bird discount until July 26!!

St Catherine's on Park

2 Park Rd, Perth WA 6009

Go beyond the basics. This course will give you hands-on experience with the most up-to-date methods for analysing ecotox. data using R. You will receive tuition on new methods introduced in the latest revision to the Australian and New Zealand Guidelines as well as being introduced to new ideas and concepts for C-R experimental design and analysis, SSD modelling and much more.

13 in stock

$680.00 Excl. GST

13 in stock

$1,730.00 Excl. GST
Statistical Ecotoxicology using R - Course Notes (Free to Course Participants)
Comprehensive notes and additional resources to accompany the workshop Statistical Ecotoxicology using R.

Table of Contents

  1. Preliminaries

    • The nature of statistical science
    • Levels of measurement and implications for estimation and inference
    • Discrete and continuous probability models
    • Concept of sampling distributions of sample statistics
    • Frequentist and Bayesian statistical paradigms
  2. Review of basic concepts

    • Review of common discrete probability distributions:
    • uniform; bernoulli; binomial;hypergeometric; poisson; geometric; negative binomial
    • Using R's intrinsic functions to compute probabilities
  3. Linear models

    • the linear statistical model
    • OLS estimation for simple regression models
    • the GLM in matrix notation
    • ANOVA models and construction of design matrices
    • efficient coding techniques
    • more advanced models including interaction effects
    • testing hypotheses using orthogonal contrasts
  4. ACRs and bimodality

    • the relevance of multi-modal distributions in ecotoxicology
    • how to detect multi-modality
    • review of Australian Guidelines for testing for bi-modality
    • using R to perform the computations associated with the test of bi-modality
    • review of approaches too harmonizing acute and chronic toxicity data
    • discussion of options for computing an ACR from empirical daa
    • R software tools for ACR computation
  5. Software tools for SSDs

    • review of contemporary tools for fitting species sensitivity distributions:
    • R package ssdtools; on-line program MOSAIC; and BurrliOz software
    • comparison of performance of these tools with published data
  6. Model averaging and bias correction

    • strengths and weaknesses of the SSD approach
    •  model selection and estimation issues
    • assessing the adequacy of a fitted model
    • explanation of how model averaging works
    • using R to compute model weights and obtain HCx estimates from a model-averaged SSD fit
    • the impact of selection bias on SSD modelling and HCx estimation
    • how to compute a bias correction factor for an HCx - use of Excel spreadsheet
  7. Optimal experimental design

    • Simple formulae for determining number of experimental and control replicates in a C-R experiment
    • geometric interpretation of a matrix determinant; concept of D-optimality
    • using R to identify concentration spacing to achieve D-optimality using C-R threshold model
  8. Appendix A - R code for ACRs

  9. Appendix B - R code for D-optimal designs

 

In Stock

$76.65 Excl. GST
Introduction to Statistical Modelling using R - Course Notes (Free to Course Participants)

Comprehensive notes and additional resources to accompany the Module 1 of the short course Statistical Ecotoxicology using R.

In Stock

$94.40 Excl. GST
Statistical Ecotoxicology using R - Module 1: Introduction to Statistical Modelling using R July 1 - 3, 2019 (3 days)

Charles Darwin University - Waterfront Campus

21 Kitchener Dr, Darwin City NT

  This is a predominantly  'hands-on' course that will provide the necessary background information and tools to get started with analysing data within the R computing environment. On successful completion, participants will be able to:
  • Understand the basics of the R environment (data frames, objects, classes, factors, lists, workspace, installing and loading packages, getting help)
  • Read in data from various sources (ASCII files; Excel spreadsheets; CSV files etc.) as well as using built-in data sets.
  • Perform basic data manipulations and re-organise raw data into standard formats with the help of in-built packages such as tidyverse and dplyr.
  • Create various R objects such as data frames and lists and know how to manipulate these using conditional selection, grouping, sorting, and list functions such as lapply and mapply.
  • Use intrinsic functions to transform data and perform basic arithmetic.
  • Use R's intrinsic graphics functions to produce high-quality graphics.
  • Use the ggplot2 package to create more advanced data visualisations.
  • Write simple R programs to perform more complex tasks.
  • Undertake basic statistical analyses using R functions and other packages.
 

2 in stock

$1,050.00 Excl. GST
Statistical Ecotoxicology using R - Module 2: Contemporary statistical methods for Ecotoxicologists July 4 - 5, 2019 (2 days)

8:30 am July 4 to 4:30 pm July 5 (2 days)

Charles Darwin University - Waterfront Campus

21 Kitchener Dr, Darwin City NT

 
Go beyond the basics. This course will give you hands-on experience with the most up-to-date methods for analysing ecotox. data using R. You will receive tuition on new methods introduced in the latest revision to the Australian and New Zealand Guidelines as well as being introduced to new ideas and concepts for C-R experimental design and analysis, SSD modelling and much more.

2 in stock

$680.00 Excl. GST
Statistical Ecotoxicology using R Modules 1 & 2 July 1 - 5, 2019 (5 days) (10% discount)

Charles Darwin University - Waterfront Campus

21 Kitchener Dr, Darwin City NT

 

2 in stock

$1,557.00 Excl. GST
R Code to accompany Statistical Ecotoxicology Workshop Notes (Free to Course Participants)
A zip file consisting of 7 text files (with .R extension). After unzipping, you can copy and paste into your R console to execute.

In Stock

$10.50 Excl. GST
Specialist Statistical Consulting Services
Premium Clients
Not for general use
Specialist Statistical Consulting Services and Associated costs

Out of stock

$13,348.00 Excl. GST

Out of stock

Introduction to Statistical Modelling using R
Module 1: August 26 - 28, 2019 (3 days)
10% early bird discount until July 26!!

St Catherine's on Park

2 Park Rd, Perth WA 6009

This is a predominantly  'hands-on' course that will provide the necessary background information and tools to get started with analysing data within the R computing environment. On successful completion, participants will be able to:
  • Understand the basics of the R environment (data frames, objects, classes, factors, lists, workspace, installing and loading packages, getting help)
  • Read in data from various sources (ASCII files; Excel spreadsheets; CSV files etc.) as well as using built-in data sets.
  • Perform basic data manipulations and re-organise raw data into standard formats with the help of in-built packages such as tidyverse and dplyr.
  • Create various R objects such as data frames and lists and know how to manipulate these using conditional selection, grouping, sorting, and list functions such as lapply and mapply.
  • Use intrinsic functions to transform data and perform basic arithmetic.
  • Use R's intrinsic graphics functions to produce high-quality graphics.
  • Use the ggplot2 package to create more advanced data visualisations.
  • Write simple R programs to perform more complex tasks.
  • Undertake basic statistical analyses using R functions and other packages.
 

14 in stock

$1,050.00 Excl. GST

In Stock

$0.00 Excl. GST