metadata_ondisc_matrix: 'metadata_ondisc_matrix' class
In ondisc: Fast, Universal, and Intuitive Computing on Large-Scale Single-Cell Data

Description Usage Arguments Value Slots Examples

A metadata_ondisc_matrix stores an ondisc_matrix, along with cell-specific and feature-specific covariate matrices.

Construct a metadata_ondisc_matrix by passing an ondisc_matrix, along with its associated cell_covariates and feature_covariates.

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metadata_ondisc_matrix(ondisc_matrix, cell_covariates, feature_covariates)

metadata_ondisc_matrix(ondisc_matrix, cell_covariates, feature_covariates)

`ondisc_matrix`	an `ondisc_matrix`.
`cell_covariates`	a data frame storing the cell-specific covariates.
`feature_covariates`	a data frame storing the feature-specific covariates.

a metadata_ondisc_matrix.

ondisc_matrix: an ondisc_matrix.
cell_covariates: a data frame of cell covariates.
feature_covariates: a data frame of feature covariates.

# NOTE: You must create the HDF5 file "expressions.h5" and the RDS file
# "expressions.rds" to run this example. Navigate to the help file of
# "create_ondisc_matrix_from_mtx" (via ?create_ondisc_matrix_from_mtx),
# and execute the code in the first code block.
covariates_fp <- paste0(tempdir(), "/expressions.rds")
h5_fp <-  paste0(tempdir(), "/expressions.h5")
if (file.exists(covariates_fp) && file.exists(h5_fp)) {
covariate_odm <- readRDS(covariates_fp)
cell_covariate_matrix <- covariate_odm@cell_covariates
feature_covariate_matrix <- covariate_odm@feature_covariates
covariate_odm_copy <- metadata_ondisc_matrix(
ondisc_matrix = ondisc_matrix(h5_file = h5_fp),
cell_covariates = cell_covariate_matrix,
feature_covariates = feature_covariate_matrix)
}