Try `coresoi` with you own data

library(coresoi)

The coresoi package calculates risk indicators in emergencies. Integration of the package with project partner data requires mapping each function argument to a column in the partner’s database. In this vignette, we will explain how to integrate the package with project partner data computing a specific indicator called ind_1. We will only need two columns: stat_unit which should only be the companies that win tenders and publication_date.

Integration with Project Partner Data

Before beginning make sure you have correctly installed the package coreosoi. To compute indicator ind_1, we need to map each function argument to a column in the project partner’s database.

library(coresoi)

# Load project partner data
partner_data <- read.csv("path/to/partner/data.csv")

# calculate the ind_1 indicator
ind_1_result <- ind_1(data = partner_data, 
                      publication_date = <column_rooting_to_publication_date> , 
                      emergency_name = "Coronavirus",
                      test_type = "fisher",
                      stat_unit = <column_rooting_to_company_winners> )

In this code snippet, we load the project partner’s data using the read.csv function. We then call the ind_1 function, passing in the data, publication_date, emergency_name, test_type, and stat_unit arguments.

To map these arguments to columns in the project partner’s database, we need to ensure that the partner data has a column named stat_unit, which should only be the companies that win tenders, and a column named publication_date. In order to correctly map your data (i.e. the columns emplyed in the calculations) to our data (i.e. the columns you are going to pass to indicators functions) please refer to our sample data documentation which goes through all the columns specs.

Conclusion

Integrating the coresoi package with project partner data requires mapping each function argument to a column in the partner’s database. For computing the ind_1 indicator, we only need two columns: stat_unit, which should only be the companies that win tenders and publication_date. By following the same template we can integrate all the other indicators available in coresoi.