/ Recent content on BDI Code Club Hugo -- gohugo.io Wed, 26 Feb 2020 00:00:00 +0000 /post/test-post/ Wed, 26 Feb 2020 00:00:00 +0000 /post/test-post/ “The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.” The core eight packages of the tidyverse are: Package Purpose Notably replaces ggplot2 Graphics Core graphics dplyr Data manipulation aggregate, common row and column operations tidyr Data ‘tidying’ melt, dcast readr Text file input read.table, etc purrr Functional programming tools apply family tibble Tables data. /post/introduction-to-tidyverse/ Fri, 14 Feb 2020 00:00:00 +0000 /post/introduction-to-tidyverse/ “The tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.” The core eight packages of the tidyverse are: Package Purpose Notably replaces ggplot2 Graphics Core graphics dplyr Data manipulation aggregate, common row and column operations tidyr Data ‘tidying’ melt, dcast readr Text file input read.table, etc purrr Functional programming tools apply family tibble Tables data. /post/the-tiny-helpers-how-to-use-rstudio-addins/ Thu, 12 Dec 2019 00:00:00 +0000 /post/the-tiny-helpers-how-to-use-rstudio-addins/ Link to presentation /post/version-control-git/ Sun, 10 Nov 2019 00:00:00 +0000 /post/version-control-git/ Some Background Science is collaborative. Even a “solo” projects should be reproducible, meaning we should be thinking about how other researchers can benefit from our work. And we will always have at least one collaborator - our future selves. Each of us has at some point struggled to pick up a project after weeks or months (or even years) of inactivity. Science is collaborative, and collaboration is hard. Often we aren’t trained to collaborate effectively and may be unaware of tools and practices to improve our collaborations. /post/utilizing-the-maximum-computation-power-of-your-computer-on-r/ Tue, 01 Oct 2019 00:00:00 +0000 /post/utilizing-the-maximum-computation-power-of-your-computer-on-r/ Note Please open your R-Studio as an administrator. Overview In this tutorial, we introduce a package to use multiple cores of your system. After this tutorial you will be able to: Train a neural network model without using multicores Train a neural network model without using multicores Compare results Using R Markdown The tutorial that follows was created using R Markdown. As an exercise in using R Markdown, here, we ask you to save your work in an R Markdown file. /page/about-full/ Mon, 01 Jan 0001 00:00:00 +0000 /page/about-full/ The Big Data Institute (BDI) is an interdisciplinary research institute that focuses on the analysis of large, complex, heterogeneous data sets for research into the causes and consequences, prevention and treatment of disease. Our coding club’s ambition is to create a fun and supportive environment where we develop programming and statistics skills together, across programming languages. We have a many experts in working with Python, R, C++ and many more languages with vast knowledge of cloud computing and HPC and we want to replace statistics anxiety and code fear with inspiration and motivation to learn. /page/about/ Mon, 01 Jan 0001 00:00:00 +0000 /page/about/ Some info here.