huxtable
osrm
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| huxtable | osrm | |
|---|---|---|
| 2 | 3 | |
| 311 | 226 | |
| - | 1.8% | |
| 7.8 | 4.3 | |
| 2 months ago | about 1 year ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
huxtable
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What type of table is this, and is there a way to do this in R?
As for styling, I highly recommend the huxtable package. You can style rows, columns, and individual cells however you want. It uses dplyr pipelining, if you’re familiar with that, so it’s super intuitive to use too.
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Web4 Should Run on LaTeX
I wrote a little R package to write tables. I knew what HTML tables and Word tables could do. I wrote the interface to use all those features. LaTeX nerds were super proud of their tables. Should be easy to reimplement the features in TeX, right?
https://github.com/hughjonesd/huxtable/blob/master/R/latex.R
TeX is an abomination from hell.
osrm
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Using R to Cluster Points by Road Networks
OSRM: A super fast and easy to use routing engine that runs on OSM data. You only need to run 5 lines of code to (1) download a .pbf from Geofabrik, (2-5) download the OSRM docker image and pre-process the OSM data. There are also 3 profiles predefined that you can use: car, bike, foot (e.g. foot.lua). It basically hosts a local server. I find the easiest way is to combine it with the osrm R package. I have seen you also need to adjust for the elevation. I think I have seen some custom LUA profiles that also account for DTM derived elevation changes as an additional weight.
- how to extract shortest path between two nodes from a given base road network?
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Connecting Points on a Map
- https://github.com/riatelab/osrm/issues/41
What are some alternatives?
groundhog - Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
papaja - papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.
wooldridge - The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.
lmForc - R package for evaluating linear forecasting models.
expedition-diaries - Expedition Diaries' website back-end and front-end
docxtractr - :scissors: Extract Tables from Microsoft Word Documents with R
cppRouting - Algorithms for Routing and Solving the Traffic Assignment Problem
targets - Function-oriented Make-like declarative workflows for R
sfnetworks - Tidy Geospatial Networks in R
shiny.i18n - Shiny applications internationalization made easy
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing