prepare_plot_datasets: Prepare the Plotting Datasets

In lmullany/iddplotting: Aids in plotting COVID-19 model results with empirical data

Description

This function prepares the model and empirical datasets and binds them together

Usage

prepare_plot_datasets(
  us_model_file_name = NULL,
  state_model_file_name = NULL,
  county_model_file_name = NULL,
  model_filter_dates = NULL,
  empirical_data_type = NULL,
  csse_repo_path = NULL,
  hospscaler = NULL,
  updategit = F
)

Arguments

us_model_file_name	default is NULL
state_model_file_name	default is NULL
county_model_file_name	default is NULL
model_filter_dates	default is NULL
empirical_data_type	default is NULL, what is the source of the empirical data, either csse or usafacts or a file name/path to custom csv
csse_repo_path	location of the csse repo (default NULL)
hospscaler	hosp scaler to get infection estimate, defaults to NULL
updategit	default is FALSE; should the local csse git repo be queried for possible update?

Value

Returns a list of dataframes, one for each model file name provided. Each frame will contain the combined data from both the model and the empirical data

Examples

prepare_plot_datasets("usfile.csv", "statefile.csv", model_filter_dates=c("2020-03-01", "2020-06-15"), "usafacts","repo_dir/")

lmullany/iddplotting documentation built on July 26, 2020, 8:05 p.m.