analyse_CPAD: Analyse CPAD
In simonpcastillo/CPAD: The Non-linear Spread of SARS-CoV-2

Description Usage Arguments Value Author(s) Examples

View source: R/analyse_CPAD.R

This function analyses the coronavirus proportional abundance distribution (CPAD)

1	analyse_CPAD(propab.matrix, propab.df, sumCases, avCases, saveplots = TRUE)

`propab.matrix:`	dataframe. The global active cases/country population (proprtional abundance) by country and day.
`propab.df:`	dataframe. The proportional abundance dataframe of htree columns: `Country`, `Day`, and `propAb`.
`sumCases:`	numeric vector. The daily sum of active SARS-CoV-2 cases; its length must be equal that the temporal slices present in `propab.df`.
`avCases:`	numeric vector. The daily average of active SARS-CoV-2 cases; its length must be equal that the temporal slices present in `propab.df`.
`saveplots:`	`TRUE` or `FALSE`. Save plots related to de distributions in your `wd`.Default `TRUE`.

The function returns the CPAD dataframe to your Global Environment with the corresponding statistics for each day. If saveplots is TRUE, the plots folder is created in your wd, containing different folder with plots.

Simon P Castillo spcastil@uc.cl.