toSparseM: Convert the plpData in COO format into a sparse R matrix
Description
Converts the standard plpData to a sparse matrix
Usage
toSparseM(plpData, population, map = NULL, temporal = F)
Arguments
plpData
An object of type plpData with covariate in coo format - the patient level prediction
data extracted from the CDM.
population
The population to include in the matrix
map
A covariate map (telling us the column number for covariates)
temporal
Whether you want to convert temporal data
Value
Returns a list, containing the data as a sparse matrix, the plpData covariateRef
and a data.frame named map that tells us what covariate corresponds to each column
This object is a list with the following components:
- data
A sparse matrix with the rows corresponding to each person in the plpData and the columns corresponding to the covariates.
- covariateRef
The plpData covariateRef.
- map
A data.frame containing the data column ids and the corresponding covariateId from covariateRef.
Details
This function converts the covariate file from ffdf in COO format into a sparse matrix from
the package Matrix