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covid19.analytics

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Load and Analyze Live Data from the COVID-19 Pandemic

View on CRAN: Click here

Download and install covid19.analytics package within the R console
Install from CRAN:

 install.packages("covid19.analytics")

Install from Github:

 library("remotes")

                        install_github("cran/covid19.analytics")

Install by package version:

 library("remotes")

                        install_version("covid19.analytics", "2.1.3.3")

Attach the package and use:

 library("covid19.analytics")

Maintained by
Marcelo Ponce
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2020-04-06

Latest Update: 2023-05-25

Description:

Load and analyze updated time series worldwide data of reported cases for the Novel Coronavirus Disease (COVID-19) from different sources, including the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) data repository , "Our World in Data" among several others. The datasets reporting the COVID-19 cases are available in two main modalities, as a time series sequences and aggregated data for the last day with greater spatial resolution. Several analysis, visualization and modelling functions are available in the package that will allow the user to compute and visualize total number of cases, total number of changes and growth rate globally or for an specific geographical location, while at the same time generating models using these trends; generate interactive visualizations and generate Susceptible-Infected-Recovered (SIR) model for the disease spread.

How to cite:

Marcelo Ponce (2020). covid19.analytics: Load and Analyze Live Data from the COVID-19 Pandemic. R package version 2.1.3.3, https://cran.r-project.org/web/packages/covid19.analytics. Accessed 22 Dec. 2024.

Previous versions and publish date:

1.0.1 (2020-04-13 08:50), 1.0 (2020-04-06 11:00), 1.1.1 (2020-07-13 19:40), 1.1 (2020-05-03 19:00), 2.0 (2020-09-28 09:22), 2.1.1 (2021-09-14 18:30), 2.1.2 (2022-04-06 16:52), 2.1.3.1 (2023-05-25 09:20), 2.1.3.2 (2023-10-10 12:50), 2.1.3 (2022-08-18 09:30), 2.1 (2021-03-23 18:50)

Other packages that cited covid19.analytics R package

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Other R packages that covid19.analytics depends, imports, suggests or enhances

View covid19.analytics dependency map

Complete documentation for covid19.analytics

View documentation PDF

Functions, R codes and Examples using the covid19.analytics R package

Some associated functions: OWID.repos . X.covid19.genomic.data . avecRentrez . badOption . c19.NP_fasta.data . c19.NPs.data . c19.OWID.data . c19.fasta.data . c19.genomic.data . c19.ptree.data . c19.refGenome.data . checkGeoLoc . chk.TS.data . confBand . consistency.check . covid19.Canada.data . covid19.JHU.data . covid19.Toronto.data . covid19.Toronto_OD.data . covid19.Toronto_city.data . covid19.URL_csv.data . covid19.US.data . covid19.data . covid19.genomic.data . covid19.testing.data . covid19.vaccination . covid19Explorer . covid19dashboard . data.checks . estimateRRs . gen.glm.model . genModel . generate.SIR.model . geographicalRegions . getFile . growth.rate . header . header0 . integrity.check . itrends . live.map . loadLibrary . log.sc.setup . movingFn . mrollingRates . mtrends . nullify.data . pandemics.data . pandemics.loaddata . plt.SIR.model . preProcessingData . print . print.report . red.devel.ver . report.Tor . report.summary . rollingRate . select.per.loc . set.plt.canvas . simple.SIR.ODE . single.trend . sweep.SIR.models . totals.plt . tots.per.location .
Some associated R codes: aux_IOutils.R . aux_geos.R . aux_stats.R . aux_utils.R . covid19.R . covid19_Canada.R . covid19_anal.R . covid19_checks.R . covid19_dashboard-wrapper.R . covid19_dashboard.R . covid19_genomic.R . covid19_models.R . covid19_plts.R . covid19_print.R . covid19_rollingEstimates.R . covid19_seq.R . covid19_trends.R . covid19_vaccination_testing.R . pandemics.R . tor_utils.R . Full covid19.analytics package functions and examples

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