WebMar 17, 2024 · Yesterday I announced that I wrote a simple R package darklyplot. This is a vignette I have built to help explain ways you can use the package. The goal of darklyplot is to create simple time series plots with a dark background. The miniminum and maximum values are highlighted, and color coded along with the y axis and x axis labels. WebJul 4, 2024 · Search the lenkiefer/darklyplot package. Vignettes. README.md Functions. 7. Source code. 5. Man pages. 4. ... mtg_rate: Mortgage rate data; theme_dark2: Alternative dark theme for ggplot2; Browse all... Home / GitHub / lenkiefer/darklyplot / darklyplot: Function to create a dark themed plot darklyplot: Function to create a dark themed plot
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WebJul 3, 2024 · The darklyplot package comes with a dataset mtg_rate which contains a time series of U.S. weekly average 30-year fixed mortgage rates from Freddie Mac’s Primary Mortgage Market Survey. The following … WebSteps to install R packages if you don't have internet access on your server/machine. First you need to install R packages devtools and git2r (git2r not mandatory, it depends on the package you would like to install ) Create a source: source <- devtools:::source_pkg ("windows path/master directory name") Hope it helps. graph find longest path
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WebApr 4, 2024 · R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax. longitudinal-data bayesian-inference stan gaussian-processes r-packages WebJan 19, 2024 · Yesterday I announced that I wrote a simple R package darklyplot. This is a vignette I have built to help explain ways you can use the package. The goal of darklyplot is to create simple time series plots with a dark background. The miniminum and maximum values are highlighted, and color coded along with the y axis and x axis labels. WebAttribution. We really hope you find these tutorials helpful and want to use the code in your next paper or presentation! This repository is made available under the MIT license which means you're welcome to use and remix the contents so long as you credit the creators: Micah Allen, Davide Poggiali, Kirstie Whitaker, Tom Rhys Marshall, Jordy van Langen, … chips process flow