{"repo":"corybrunson/ordr","free":true,"listed":false,"github":"https://github.com/corybrunson/ordr","clone":"git clone https://github.com/corybrunson/ordr.git","description":"manage ordinations and render biplots in a tidyverse workflow","language":"R","stars":27,"topics":["ordination","biplot","multivariate-analysis","tidyverse","geometric-data-analysis","dimension-reduction","multivariate-statistics","tidymodels","data-visualization","grammar-of-graphics"],"license":"GPL-3.0","category":"analytics","readme_excerpt":"ordr ordr integrates ordination analysis and biplot visualization into Tidyverse workflows. motivation Wherever there is an SVD, there is a biplot.[^1] ordination and biplots Ordination is a catch-all term for a variety of statistical techniques that introduce an artificial coordinate system for a data set in such a way that a few coordinates capture a large amount of the data structure [^2]. The branch of mathematical statistics called geometric data analysis (GDA) provides the theoretical basis for (most of) these techniques. Ordination overlaps with regression and with dimension reduction, which can be contrasted to clustering and classification in that they assign continuous rather than categorical values to data elements [^3]. Most ordination techniques decompose a numeric rectangular data set into the product of two matrices, often using singular value decomposition (SVD). The coordinates of the shared dimensions of these matrices (over which they are multiplied) are the artificial coordinates. In some cases, such as principal components analysis, the decomposition is exact; in others, such as non-negative matrix factorization, it is approximate. Some techniques, such as correspondence analysis, transform the data before decomposition. Ordination techniques may be supervised, like linear discriminant analysis, or unsupervised, like multidimensional scaling. Analysis pipelines that use these techniques may use the artificial coordinates directly, in place of natural coor","default_branch":null,"files":null,"tree":[],"storefront":"/r/corybrunson","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/corybrunson/ordr/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."}