Loading Events

« All Events

ONLINE COURSE – Data wrangling using R and Rstudio (DWRS01) This course will be delivered live

3 September 2020 - 4 September 2020

£300.00

This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.

This 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.

TIME ZONE – Western European Time +1 – 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@psstatistics.com for full details or to discuss how we can accommodate you).

Course Overview:

In this two day course, we provide a comprehensive practical introduction to data wrangling using R. In particular, we focus on tools provided by R’s tidyverse, including dplyr, tidyr, purrr, etc. Data wrangling is the art of taking raw and messy data and formating and cleaning it so that data analysis and visualization etc may be performed on it. Done poorly, it can be a time consuming, labourious, and error-prone. Fortunately, the tools provided by R’s tidyverse allow us to do data wrangling in a fast, efficient, and high-level manner, which can have dramatic consequence for ease and speed with which we analyse data. On Day 1 of this course, having covered how to read data of different types into R, we cover in detail all the dplyr tools such as select, filter, mutate, etc. Here, we will also cover the pipe operator (%>%) to create data wrangling pipelines that take raw messy data on the one end and return cleaned tidy data on the other. On Day 2, we cover how to perform descriptive or summary statistics on our data using dplyr’s summarize and group_by functions. We then turn to combining and merging data. Here, we will consider how to concatenate data frames, including concatenating all data files in a folder, as well as cover the powerful SQL like join operations that allow us to merge information in different data frames. The final topic we will consider is how to “pivot” data from a “wide” to “long” format and back using tidyr’s pivot_longer and pivot_wider.

This is one module of a seven module series – you do not need to attend them all but they are designed to complement each other. Please see the links below

“1” June 23rd – 24th Introduction to R for ecologists and evolutionary biologists

ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB04) This course will be delivered live

“2”July 23rd – 24th Introduction to generalised linear models using R and Rstudio

ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM01) This course will be delivered live

“3” August 6th – 7th Introduction to mixed models using R an d Rstudio

ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02) This course will be delivered live

“4” August 20th – 21st Data visualization using GG plot 2 (R and R studio)

ONLINE COURSE – Data visualization using GG plot 2 (R and Rstudio) (DVGG01) This course will be delivered live

“5” September 3rd – 4th Data wrangling using R and Rstudio

ONLINE COURSE – Data wrangling using R and Rstudio (DWRS01) This course will be delivered live

“6” October 1st – 2nd Introduction to Nonlinear Regression using Generalized Additive Models

https://www.psstatistics.com/course/introduction to nonlinear-regression-using-generalized-additive-models-gamr01

“7” Date to be confirmed Introduction to time series analysis using R

 

Intended Audience

This course is aimed at anyone who is involved in real world data analysis, where the raw data is messy and complex. Data analysis of this kind is practiced widely throughout academic scientific research, as well as widely throughout the public and private sectors.

Venue – Delivered remotely

Time zone – Western European Time +1

Availability – 20 places

Duration – 2 days

Contact hours – Approx. 15 hours

ECT’s – Equal to 2 ECT’s

Language – English

PLEASE 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@psstatistics.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 PS statistics) will be credited.

Dr. Mark Andrews

Teaching Format
Course Programme

Details

Start:
3 September 2020
End:
4 September 2020
Cost:
£300.00

Venue

Delivered remotely (United Kingdom)
Western European Time, United Kingdom + Google Map

Tickets

18 available
DWRS01 COURSE ONLY£300.00DWRS01 COURSE ONLY £300.00