R is a free software environment for statistical computing and graphics.
The R language allows the user, for instance, to program a series of commands to pre-process and manipulate data and then analyse that data before tailoring, presenting and plotting the results. R packages are pre-written code to find a solution to problem. R packages shared by other R users allows the user to find efficient solution to problem with ease.
Not related to any specific area of research. This is a 1 day practical PC-based workshop, covering graphs and summaries, descriptive statistics then progressing to 1 and 2 sample tests, one-way ANOVA and simple linear regression.
Entry requirements: Participants from any background can attend the course. Some familiarity with R is required to attend this course. Alternatively, you should have attended Introduction to R or Foundations in R course.
Course Tutor: Krupa Shukla
This course has been approved by the Royal College of Physicians for 6 CPD credits.
Early Bird rate is available for up to 4 weeks before the session runs.
Contact us on stathelp@imperial.ac.uk for any queries.
Course Outline
Data Entry and Manipulation
- Categorical and continuous data
- Transform, recode and compute variables
- Graphs and tables
- Simple plots and descriptive statistics
- Cross tabulation
Basic Statistical Analysis
- Estimation and hypothesis testing
- One sample tests: t-test, signed rank test
- Two sample tests: t-test, Mann-Whitney test
- 1-way Analysis of Variance (ANOVA)
- Correlation and simple linear regression
Course fees and dates for 2024-2025
Course Fees
EARLY BIRD RATE
£297.00: Imperial College only.
£414.00: External rate.
STANDARD RATE
£330.00: Imperial College only.
£460.00: External rate
* Please refer to Cancellation Policy before registering
Dates for Academic year 2024-2025
- Tuesday 22 October 2024
- Monday 10 February 2025
- Wednesday 28 May 2025
- Thursday 17 July 2025
Please CLICK HERE to be redirected to the registration forms and booking links.
Time and Location
The course will run face-to-face with an option to join via Microsoft Teams.
Exact details will be sent a week prior to the course date.