In the previous post, I demonstrated how to deploy a flexdashboard dashboard (or basically, any R Markdown format) in Github Pages. The focus of this post is on embedding flexdashboard oin pkgdown site. The pkgdown package is another great R Markdown format that enables us to quickly warp package information (documentation, vignettes, etc.) into a web format. Motivation Why would you like to embed a flexdashboard dashboard in a pkgdown site?

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One of Github’s coolest features is Github Pages, which enables you to create and deploy websites under github.com domain for free. The most common usage of Github Pages is the deployment of project documentation. The R community is widely using it to deploy different R Markdown formats such as package documentation with pkgdown, blogs with blogdown, books with bookdown, etc. Recently, as I was looking for a way to share Covid19 data, I had this eureka moment realizing that it should be straightforward to deploy flexdashboard or any other format of R Markdown (none Shiny) on Github Pages.

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Version 0.3.0 of the covid19italy is now available on CRAN. The package provides a daily snapshot of the covid19 cases in Italy by province, region and national levels. While the data on the package is getting refreshed once every few months, the update_data function enables you to get the most recent data available on the Github version (updated on a daily basis). Additional resources:

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Version 0.2.0 of the coronavirus R data package was pushed today to CRAN. The coronavirus package provides a tidy format for Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus dataset. Version 0.2.0 catch up with the significant changes in the data that took place since the initial release on February 24, changing the package status from experimental to maturing.

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Last week I pushed an update of the covid19italy package to CRAN (v0.2.0). The covid19italy R package provides a tidy format dataset of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) pandemic outbreak in Italy. The package includes the following three datasets: italy_total - daily summary of the outbreak on the national level italy_region - daily summary of the outbreak on the region level italy_province - daily summary of the outbreak on the province level More details about the datasets available on the following vignette

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I am pleased to announce a new R package - forecastLM. The package, as the name implies, provides applications for forecasting regular time series data with a linear regression model (based on the lm function from the stats package). It supports both ts and tsibble objects as inputs and enables simple extractions of features from the input object on the fly. Example for such features:

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TSstudio 0.1.5 on CRAN

A new version (0.1.5) of the TSstudio package was pushed to CRAN last month. The release includes new functions as well as bug fixing, and update of the package license (modified from GPL-3 to MIT). New features train_model - a flexible framework for training, testing, evaluating, and forecasting models. This function provides the ability to run multiple models with backtesting or single training/testing partitions. This function will replace the ts_backtesting function which will deprecated in the next release.

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Author's picture

Rami Krispin

Time series analysis, forecasting, machine learning, and data visualization

Data scientist

Cupertino, CA