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DTSTART;VALUE=DATE:20200120
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SUMMARY:R 4 ALL (Andrew Beckerman & Dylan Childs) (R4LL01)
DESCRIPTION:R 4 ALL (Andrew Beckerman & Dylan Childs) (R4LL01)\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Event Date \nMonday\, January 20th\, 2020\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Course Format\nThis is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link\, a good internet connection is essential. \nCourse Program\nTIME ZONE – UTC+2 – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you). \n \n \n \n \n \n \n \n \n \n \n Course Details\n PR Statistics has partnered with R4ALL (www.r4all.org) to offer an introductory course to R\, RStudio and statistics for Biologists. Based on their best-selling book\, “Getting Started with R\, An Introduction for Biologists”\, this course provides training in the R statistical and programming language for data management\, visualisation\, and analysis. The R4All team\, with more than 20 years experience delivering this course\, will boost you up the initial learning curve\, streamline your data management and analysis workflows\, and give you scalable solutions. You will develop and take away robust and repeatable workflows for visualisation and statistical analyses\, ranging from t-tests and ANOVA to generalised linear models and mixed effects models.\n \n \n \n \n \n Intended Audiences\n The course is aimed at biologists with a basic to moderate knowledge in R and undergraduate biology statistics (ANOVA and regression). The course content is designed to bridge the gap between basic statistics and more advanced statistical modelling tools such as Generalised Linear Models and Mixed Models (Random Effects).\n \n \n \n \n \n Venue\n Venue – PR statistics head office\, 53 Morrison Street\, Glasgow\, G5 8LB – Google Map \n \n \n \n \n \n Course Information\n Availability – 20 places \nDuration – 5 days \nContact hours – Approx. 35 hours \nECT’s – Equal to 3 ECT’s \nLanguage – English \nPackages \nWe offer COURSE WITH FREE ACCOMMODATION\, COURSE ONLY and ‘ACCOMMODATION PACKAGES;\n• COURSE WITH FREE ACCOMMODATION – includes everything listed below (only eligible for persons in academia)\n• COURSE ONLY – Includes lunch and refreshments.\n• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast\, lunch\, refreshments and welcome dinner Monday evening. Self-catering facilities are available in the accommodation. Accommodation is multiple occupancy (max 3- 4 people) single sex en-suite rooms. Arrival Sunday 19th January (between 17:00-21:00) and departure Friday 24th January (accommodation must be vacated by 09:15). \nTo book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page. \nOther payment options are available please email oliverhooker@prstatistics.com \nPLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees (and accommodation fees if booked through PR statistics) will be credited. However\, PR statistics will not be held responsible/liable for any travel fees\, accommodation costs or other expenses incurred to you as a result of the cancellation. Because of this PR statistics strongly recommends any travel and accommodation that is booked by you or your institute is refundable/flexible and to delay booking your travel and accommodation as close the course start date as economical viable. \n \n \n \n \n \n \n Teaching Format\n A mixture of lectures\, hands-on practicals making graphs and doing analyses and Q&A sessions. Datasets for computer practicals will be provided by the instructors; participants are welcome to bring their own data. \nAssumed quantitative knowledge \nThe course will be most effective if students are comfortable with basic statistics such as t-tests\, regression and ANOVA. For example\, this assumes they have some familiarity with 1) the difference between response and explanatory variables\, 2) the residuals from a fitted statistical model\, 3) standard errors and confidence intervals\, 4) test statistics (e.g. t- and F-statistics). \nAssumed computer background \nRequired: Ability to download files from the internet and organise folders and files on your computer. \nValuable\, but not required: Using R via RStudio to create scripts\, import/export data\, generate simple exploratory plots and fit basic statistical models. \nEquipment and software requirements \nStudents will use their own laptop. They must have administrative rights on the computer. They should have installed the latest version of R (free) and RStudio (free). Installation instructions for all platforms can be found on CRAN and the RStudio download pages. No other software is required. \nhttps://cran.r-project.org/ \n Download RStudio \nUNSURE ABOUT SUITABLILITY THEN PLEASE ASK oliverhooker@prstatistics.com\n \n \n \n \n \n Assumed quantitative knowledge\n Coming soon.. \n \n \n \n \n \n Assumed computer background\n Coming soon.. \n \n \n \n \n \n Equipment and software requirements\n Attendees will need to install/update R/RStudio and various additional R packages. \nThis can be done on Macs\, Windows\, and Linux. \nR – https://cran.r-project.org/ \nRStudio – https://www.rstudio.com/products/rstudio/download/ \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Tickets \n \n \n \n \n \n \n The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities. \n\n\n\n \n Tickets are not yet available\n\n\n \n \n \n \n \n\n\n\n\n\n \n\n \n \n \n \n \n \n \n \n \n \n \n \n PLEASE READ – CANCELLATION POLICY \nCancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered\, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited. \n \n \n \n \n \n If you are unsure about course suitability\, please get in touch by email to find out more \ninfo@clovertraining.co.uk \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n COURSE PROGRAMME\n\nSunday 19th \nMeet at Flat 2/1\, 43 Cook Street\, Glasgow G5 8JN between 17:00-21:00 \nMonday 20th – Classes from 09:30 to 17:30 \nDay 1 – Import\, Explore\, GraphTopic 1 – Why R? Why use the ‘tidyverse’?Topic 2 – Data import\, cleaning and manipulation with dplyrTopic 3 – Data exploration and visualisation with ggplot2 \nTuesday 21st – Classes from 09:30 to 17:30 \nDay 2 – Revising basic statistics and linear modelsTopic 1 – Basic statistics revisionTopic 2 – Simple linear models (regression and ANOVA)Topic 3 – Model diagnostics for linear modelsTopic 4 – More complex linear models \nWednesday 22nd – Classes from 09:30 to 17:30 \nDay 3 – Generalised linear models (GLMs)Topic 1 – Basic concepts underlying GLMsTopic 2 – Working with Poisson modelsTopic 3 – Model diagnostics and p-values for GLMsTopic 4 – Working with Binomial models \nThursday 23rd – Classes from 09:30 to 17:30 \nDay 4 – Mixed effects models and miscellanyTopic 1 – Basic concepts underlying mixed modelsTopic 2 – Understanding model syntax using lme4Topic 3 – Adapting the workflow for mixed modelsTopic 4 – p-values with mixed models \nFriday 24th – Classes from 09:30 to 16:30 \nDay 5 – Bring your own data workshop AND/OR assorted topics chosen by class. \n\n \n \n \n \n \n \n Course Instructor\n\n \nDr. Antoine Becker-Scarpitta\nWorks at – University of Helsink\nTeaches – Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03)\nAntoine is a plant community ecologist working as a postdoctoral researcher at the University of Helsinki and as a postdoctoral fellow at the Institute of Botany of the Academy of the Czech Republic. Antoine holds a degree in Conservation Biology from the University of Paris-Sud-Orsay\, and from the Natural History Museum of Paris\, he obtained his PhD in Biology/Ecology from the University of Sherbrooke (Canada). Antoine’s research focuses on the temporal dynamics of biodiversity with a particular focus on the forest and Arctic vegetation. Antoine has taught community ecology\, plant ecology and evolution\, linear and multivariate statistics assisted on R.
URL:https://www.prstatistics.com/course/r-4-all-andrew-beckerman-dylan-childs-r4ll01/
LOCATION:PR statistics head office\, 53 Morrison Street\, Glasgow\, Scotland\, G5 8LB\, United Kingdom
CATEGORIES:Live Online Courses
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