Technical Tutorials
Enabling Reproducible Research in a Collaborative and Secure Environment ➜
Reproducibility in science is becoming increasingly important. The rise of meta-analysis and systematic reviews such as the Cochrane Reviews and a number of recent studies ... Read more ➜
Using XML within AnalytiXagility ➜
This post provides an introduction to the XML library contained within R. It takes us through the process of parsing XML documents, transforming data into ... Read more ➜
Calculating Age Standardised Incidence Rates ➜
Why Do We Need to Calculate Age Standardised Incidence Rates? When comparing incidence rates between different countries the distribution of the population needs to be taken ... Read more ➜
The Performance Gains of Using MADlib for In-Database Analytics ➜
If you are analysing a big data set you will likely hit the limits of in-memory analytics. Carrying out the same analysis in-database, can be ... Read more ➜
Using Run Charts to Visualise Variant CPs Due to Changing Targets of A&E Waiting Time Data ➜
In analytics, run charts are used to identify and display trends in data over time. We will show how we can visualise variant CPs due ... Read more ➜
Visualising Features of A&E Waiting Time Data Using Run Charts ➜
In analytics, run charts are used to identify and display trends in data over time. In this post we show how to use the AnalytiXagility ... Read more ➜
Introduction to dplyr ➜
dplyr is a new package for R written by Hadley Wickham and Romain Francois and is the successor to Hadley Wickham’s earlier package plyr. It ... Read more ➜
Working with Date-times and Time Zones in R ➜
The purpose of this blog is to work with dates in R which have times and time zones. All variables of class Date which are ... Read more ➜
Formatting Date-times R ➜
The purpose of this blog is to introduce users to formatting date-times in R. All variables of class Date which are imported into the AnalytiXAgility ... Read more ➜
Working with Dates in R ➜
This blog provides details on working with dates in R. The examples used in this blog are based on arbitrarily chosen dates. Read more ➜
Tags
- cheats
- data-types
- dataset
- date-times
- dates
- dplyr
- function
- ggplot2
- lubridate
- madlib
- rstats
- run charts
- scales
- spc
- statistics
- xml
The AnalytiXagility platform is probably very different to other analytics applications that you may have used before, so we are here to help with a range of tutorials which demonstrate how you can use it to perform both simple and complex analyses. That can mean looking at the interpretation of data in a clinical context, how to visualise your data, or how to do specific technical tasks.
Have a look around this section, and if you can't see what you need there is also the User Guide should you need it.
If you have specific questions which aren't answered in any of these way then please get in touch - the Data Science Team like a challenge, and your problem might become the subject of our next tutorial!