df_epinow: Manipulate a dataset to use in an Epinow2 analysis

In thegraphnetwork/r-epigraphhub: An EpiGraphHub package with useful functions and tools for epidemiological data analysis and access to free databases from various organizations

Manipulate a dataset to use in an Epinow2 analysis

Description

df_epinow manipulates a dataset provided by the user to a dataset readily usable for Epinow2 analyses

Usage

df_epinow(x, cases, date, regions, period = 14, regional = FALSE)

Arguments

x	a vertical dataset typically used in ecological analyses.
cases	the vector of cases in the provided dataset.
date	the vector of dates in the format yyyy-mm-dd in the provided dataset.
regions	if regional = TRUE, the vector of regions in the provided dataset.
period	numeric. How many date periods should be left into the dataset?
regional	logical. Does the user wants the dataset to be aggregated by regions?

Details

This function loads a data.frame object and makes some manipulation of it, in order to make it ready to be run in a Epinow2 local or regional analysis.

Examples

## Not run: 
library("epigraphhub")
con <- egh_connection(auto_connect = TRUE, use_env = TRUE, path_env = ".env")
df_canton <- dbGetQuery(con, "SELECT datum, \"geoRegion\", entries FROM switzerland.foph_cases")
df <- df_epinow(df_canton, cases = "entries", date = "datum", regions = "geoRegion", regional = TRUE, period = 28)

## End(Not run)

thegraphnetwork/r-epigraphhub documentation built on May 23, 2022, 7:45 p.m.