{"repo":"datacarpentry/R-ecology-lesson","free":true,"listed":false,"github":"https://github.com/datacarpentry/R-ecology-lesson","clone":"git clone https://github.com/datacarpentry/R-ecology-lesson.git","description":"Data Analysis and Visualization in R for Ecologists","language":"R","stars":337,"topics":["carpentries","data-carpentry","lesson","r","data-wrangling","data-visualisation","data-visualization","english","ecology","stable"],"license":null,"category":"analytics","readme_excerpt":"Data Carpentry: R for data analysis and visualization of Ecological Data This is an introduction to R designed for participants with no programming experience. It can be taught in 3/4 of a day (approximately 6 hours). It is a redesigned version of the original Data Carpentry lesson. The initial effort towards this redesign was done by Michael Culshaw-Maurer in another repository in The Carpentries Incubator: https://github.com/carpentries-incubator/R-ecology-lesson (now archived). See Michael's notes while preparing the redesign in the update plans.md file of that repository. The lesson starts with information about the R programming language and the RStudio interface. It then moves to loading in data and exploring how to visualise it with ggplot2. The next episode takes learners through an exploration of data frames and some common data cleaning operations, before discussing vectors and factors. The final episode introduces the flow of data in R, and how to combine operations to select, filter, and mutate a data frame. Illustrations from the previous version of this lesson are now available in the carpentries/commons repository. Providing feedback on this lesson If you teach this redesigned lesson, please open an issue on this repository to share your experience. Prerequisites The lesson assumes no prior knowledge of R or RStudio. Learners should have R and RStudio installed on their computers. They will also need to be able to install R packages from CRAN, create directorie","default_branch":null,"files":null,"tree":[],"storefront":"/r/datacarpentry","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/datacarpentry/R-ecology-lesson/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}