Pinned Repositories
ABM-in-R
An introduction to Agent-Based Modelling in R
brexit_data_challenge
R and Python codes used in the analysis for the shortlisted R Uni of Manchester & MMU R User Group submission to the CDRC GISRUK 2018 Brexit Data Challenge
dplyr_tutorial
Introduction to the dplyr data manipulation package
Home
General information on the R at the University of Manchester (RUM) Group
microbiome_heatmaps
PCA
Principal Component Analysis
plotly_basics
Diving into Plotly with R
R-quiz
A fun quiz to test your R trivia knowledge
Subsetting
Subsetting in R: Spring cleaning your data (Manchester FLS R User group April 2013)
website-building-in-rmarkdown-and-Shiny
Manchester Universities R Group's Repositories
RUMgroup/dplyr_tutorial
Introduction to the dplyr data manipulation package
RUMgroup/microbiome_heatmaps
RUMgroup/introduction_2_Git
RUMgroup/introduction_2_R
In one of out first meetings we started with an introduction to R. We started with installing R, getting data in and out of R and how to write functions and loops. Here are the files with code and text to follow the sessions. Most of the sessions start with a PDF file.
RUMgroup/Subsetting
Subsetting in R: Spring cleaning your data (Manchester FLS R User group April 2013)
RUMgroup/CSF_and_HTCondor
How to use the CSF and the High Throughput Condor computer clusters at the University of Manchester. A short introduction with example code.
RUMgroup/Machine_learning_on_sequences
RUMgroup/Model_Selection_Algorithm
How to select the right general linear mixed effect model (glmer from lme4) when you have many factors/variables to choose from.