diff --git a/core/core.html b/core/core.html index 4fe2d4f..713303f 100644 --- a/core/core.html +++ b/core/core.html @@ -253,7 +253,7 @@
18 October, 2024
+20 October, 2024
These are suggestions
+Before starting work on your strand specific data analysis. Ensure you have EITHER:
Want github co-pilot?
-🎬 Create a GitHub account
-🎬 Apply for student benefits
Update R and RStudio
-🎬 Update R
-OR
+Install package building tools
🎬 Windows Install Rtools
🎬 Mac install Xcode from Mac App Store
Update packages:
-🎬 devtools, tidyverse, BiocManager, readxl
🎬 Installed packages: devtools
, tidyverse
, BiocManager
, readxl
You might want to consider getting a GitHub account and applying for student benefits so that you can use GitHub co-pilot. GitHub copilot is an “AI pair programmer that offers autocomplete-style suggestions as you code”. GitHub Copilot is available as an opt-in integration with RStudio.
+Read more about GitHub Copilot integration with RStudio
🎬 Create a GitHub account
🎬 Apply for student benefits. You will need to upload an image of your student id, use your institutional email address and you will be required to use two factor authentication.
📖 Read Understanding file systems. This is an approximately 15 - 20 minute read revising file types and file systems. It covers concepts of working directories and paths. We learned these ideas in stage 1 and you may feel completely confident with them but many students will benefit from a refresher. For BIO00070M students, this is part of the work you will also be asked to complete for BIO00052M Data Analysis in R.
📖 Read Workflow in RStudio. You may find it helpful to remind yourself about RStudio Projects. In previous years, you have submitted an “RStudio Project” as part of your BABS work. In this module, you will submit “Supporting Information” for your Project Report. The Supporting Information is a documented and organised collection of all the digital parts of your research project. This includes data (or instructions for accessing data), code and/or non-coded processing, instructions for use, computational requirements and outputs. The Supporting Information could be a single RStudio Project (like you have done previously but with better documentation) or a folder that includes an RStudio Project and other material/scripts.
3.💻 Set up the Virtual Desktop. I very strongly recommend working on the University computers for this work. You will be using more specialised R packages than you might be used to. This is especially important if you often have difficulty updating and or installing software on your own machine, wouldn’t know what what version of R you are using or don’t realise there is a difference between R and RStudio. The uni machines always have up-to-date R and R packages and all the packages that appear in teaching materials. It is my responsibility to ensure everything works on here.
+You can still work from home by using the Virtual Desktop Service. The VDS allows you to log on to a university computer from your own computer. It means you can access all software and filestores. When using the VDS for R and RStudio, it usually makes sense to use other software - such as a browser or file explorer - also through the VDS.
+If you are confident in your ability to set up your own machine, you need:
+It is possible to access all your files on your university account without using the VDS. For example, if you want to work on uni machines at uni and your machine at home. You can best do this by mapping a drive: https://support.york.ac.uk/s/topic/0TO4K000000lA5ZWAU/filestores. If you store everything on google drive you can also read/write to that like any other drive using google drive app.
+Even if you plan to use your own machine I really recommend you take the time to set the VDS up now while you’re not time pressured so you always have that option ready.
diff --git a/core/week-2/workshop.html b/core/week-2/workshop.html index 9ac67bd..84a11b8 100644 --- a/core/week-2/workshop.html +++ b/core/week-2/workshop.html @@ -431,7 +431,7 @@ -18 October, 2024
+20 October, 2024