{"id":22330319,"url":"https://github.com/dcs-training/introtostatistics","last_synced_at":"2025-03-26T06:45:40.118Z","repository":{"id":211888216,"uuid":"729153115","full_name":"DCS-training/IntroToStatistics","owner":"DCS-training","description":"This is a repository which contains all the materials to be used in the introduction to statistics course. 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This course is run by Christopher A Oldnall (chris.oldnall@ed.ac.uk) and Rhys Davies (R.M.M.Davies@sms.ed.ac.uk). If you notice any mistakes or have any recommendations or comments please get in touch. \n\nFor this course, you will need to use the R programming language. There is an expectation that you are familiar with the r-environment but not one particular style or any packages in particular. In order to use R there are some instructions below:\n\n## On Noteable\n\n1. Go to https://noteable.edina.ac.uk/login\n2. Login with your EASE credentials\n3. Select RStudio as a personal notebook server and press start\n4. Go to File \u003e New Project\u003e Version Control \u003e Git\n5. Copy and Paste this repository URL https://github.com/DCS-training/IntroToStatistics_2023 as the Repository URL\n6. The Project directory name will filled in automatically but you can change it if you want your folder in Notable to have a different name\n7. Decide where to locate the folder. By default, it will locate it in your home directory \n8. Press Create Project\n\nCongratulations you have now pulled the content of the repository on your Notable server space.\n\n## On your own machine\n\n### R and RStudio\n\n* R and RStudio are separate downloads and installations. R is the\nunderlying statistical computing environment, but using R alone is no\nfun. RStudio is a graphical integrated development environment (IDE) that makes\nusing R much easier and more interactive. You need to install R before you\ninstall RStudio.\n\n#### Windows\n\n\u003e ## If you already have R and RStudio installed\n\u003e\n\u003e * Open RStudio, and click on \"Help\" \u003e \"Check for updates\". If a new version is\n\u003e available, quit RStudio, and download the latest version for RStudio.\n\u003e * To check which version of R you are using, start RStudio and the first thing\n\u003e  that appears in the console indicates the version of R you are\n\u003e  running. Alternatively, you can type `sessionInfo()`, which will also display\n\u003e  which version of R you are running. Go on\n\u003e  the [CRAN website](https://cran.r-project.org/bin/windows/base/) and check\n\u003e whether a more recent version is available. If so, please download and install\n\u003e it. You can [check here](https://cran.r-project.org/bin/windows/base/rw-FAQ.html#How-do-I-UNinstall-R_003f) for\n\u003e more information on how to remove old versions from your system if you wish to do so.\n\n\u003e ## If you don't have R and RStudio installed\n\u003e\n\u003e * Download R from\n\u003e  the [CRAN website](https://cran.r-project.org/bin/windows/base/release.htm).\n\u003e * Run the `.exe` file that was just downloaded\n\u003e * Go to the [RStudio download page](https://www.rstudio.com/products/rstudio/download/#download)\n\u003e * Under *Installers* select **RStudio x.yy.zzz - Windows Vista/7/8/10** (where x, y, and z represent version numbers)\n\u003e * Double click the file to install it\n\u003e * Once it's installed, open RStudio to make sure it works and you don't get any\n\u003e error messages.\n\n\n#### macOS\n\n\u003e ## If you already have R and RStudio installed\n\u003e\n\u003e * Open RStudio, and click on \"Help\" \u003e \"Check for updates\". If a new version is\n\u003e\tavailable, quit RStudio, and download the latest version for RStudio.\n\u003e\t* To check the version of R you are using, start RStudio and the first thing\n\u003e\t  that appears on the terminal indicates the version of R you are running. Alternatively, you can type `sessionInfo()`, which will \n\u003e\talso display which version of R you are running. Go on\n\u003e\t  the [CRAN website](https://cran.r-project.org/bin/macosx/) and check\n\u003e\t  whether a more recent version is available. If so, please download and install\n\u003e\t  it.\n{: .solution}\n\n\u003e ## If you don't have R and RStudio installed\n\u003e\n\u003e * Download R from\n\u003e   the [CRAN website](https://cran.r-project.org/bin/macosx/).\n\u003e * Select the `.pkg` file for the latest R version\n\u003e * Double click on the downloaded file to install R\n\u003e * It is also a good idea to install [XQuartz](https://www.xquartz.org/) (needed\n\u003e   by some packages)\n\u003e * Go to the [RStudio download page](https://www.rstudio.com/products/rstudio/download/#download)\n\u003e * Under *Installers* select **RStudio x.yy.zzz - Mac OS X 10.6+ (64-bit)**\n\u003e   (where x, y, and z represent version numbers)\n\u003e * Double click the file to install RStudio\n\u003e * Once it's installed, open RStudio to make sure it works and you don't get any\n\u003e   error messages.\n\n#### Linux\n\n* Follow the instructions for your distribution\n from [CRAN](https://cloud.r-project.org/bin/linux), they provide information\n to get the most recent version of R for common distributions. For most\n distributions, you could use your package manager (e.g., for Debian/Ubuntu run\n `sudo apt-get install r-base`, and for Fedora `sudo yum install R`), but we\n don't recommend this approach as the versions provided by this are\n usually out of date. In any case, make sure you have at least R 3.5.1.\n* Go to the [RStudio download\n  page](https://www.rstudio.com/products/rstudio/download/#download)\n* Under *Installers* select the version that matches your distribution, and\n   install it with your preferred method (e.g., with Debian/Ubuntu `sudo dpkg -i\n   rstudio-x.yy.zzz-amd64.deb` at the terminal).\n* Once it's installed, open RStudio to make sure it works and you don't get any\n   error messages.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdcs-training%2Fintrotostatistics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdcs-training%2Fintrotostatistics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdcs-training%2Fintrotostatistics/lists"}