HPC Software Carpentry - Lesson 4 - Scripts and submitting jobs
Learning Objectives In this lesson you will learn: How to run R on the HPC in 3 different ways (i.e., interactively, via scripts and by submitting jobs)...
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Learning Objectives In this lesson you will learn: How to run R on the HPC in 3 different ways (i.e., interactively, via scripts and by submitting jobs)...
Learning Objectives In this lesson you will learn: How to transfer files with FileZilla (Mac) and WinSCP (Windows) How to setup an ssh key How to tr...
Learning Objectives In this lesson you will learn: What is a UNIX command How to create, access and navigate directories using bash How to create an...
Learning Objectives In this lesson you will learn: The overall structure of the JCU HPC How to obtain a JCU HPC account How to access the JCU HPC ...
Kevin showed us how to use geofacets and other tools within tidyverse to plot COVID-19 and vaccination data organized by geographic entities.
Wytamma (@wytamma) presented a talk on using git and Github with RStudio. RStudio has great support for git and easily integrated with Github. Github is basi...
Here is our introduction to data frame manipulation using tidyr, one of the many useful packages from the tidyverse! Data manipulation is often required whe...
An alternative worklfow to Data frame Manipulation with tidyr Created by César Herrera tidyr use can be consulted here Here, I present an alternative way t...
César (@CexyNature) did a presentation on Data Management. He described the importance of practicing good data management and he provided advice in what stra...
César (@CexyNature) made an introduction to Jupyter Notebooks and Jupyter Lab, and he showed us how we can use R in Jupyter as an alternative development env...
Ira (@iracooke) took us through some best practices for writing R code and how to use a profiler to optimise code. Ira’s notes can be found in this repo. li...
Kevin Bairos-Novak (@ecolology) gave an intro to build Shiny apps in R. Kevin’s note can be found in this repo.
We meet every Monday at 11am for an hour to discuss all things R Date Presenter Topic Links Link to recording ...
Pete (@pete_cowman) gave an intro and demonstrated how to plot phylogenetic trees in R with the package ggtree. After intro he had fun plotting a phylogeny o...
Joseph M. introduced the issues around Data storage and reproducibility. Started a conversation on producing guidelines and templates for reproducible resear...
Ira (@iracooke) summarised the key ideas on random vs fixed effects from the previous meeting, and Sonja walked us through her modelling and model selection ...
Chloë (@CGBoote) lead us through a tutorial on linear mixed models in R. Lorenzo (@ItsFrogday) has summarised the discussion that followed. Random effects v...
Lindsay (@lindsaymarkward) presented a talk via Zoom on clean code best practices with examples in Python. You can find a recoding of the talk on our TouTube...
After the Covid-19 disruption which sent us home, we resumed our weekly meetings using Zoom video conference. In this session, César (@CexyNature) showed us ...
Anything Goes: Loops Examples from our ‘anything goes’ loop session on 24th of Feb 2020 Python Wytamma presented an algorithm that uses a for loop to calcul...
Wytamma (@wytamma) presented a talk on Python basics 🐍. We used Google colab to write and run some Python.
Pete (@PeteCowman) presented a talk on using tidyverse to manipulate your data. To view Pete’s materials on tidyverse see here.
César (@CexyNature) presented a talk on how to use Github. Chloë (@BooteCG), as a way to use his instruction tried to make an .md with the notes/instruction...
Ira (@iracooke) presented an intro to RMarkdown. The rendered presentation can be viewed on RPubs and source code is on github at https://github.com/iracook...