assert_sample_subset | R Documentation |
Samples have compound keys: dataset,sample_id. If we want to index into them, we can either:
assert_sample_subset(x, fds = NULL, ..., .var.name = vname(x), add = NULL)
check_sample_subset(x, fds = NULL, ...)
test_sample_subset(x, fds = NULL, ...)
assert_facet_descriptor(x)
is_facet_descriptor(x)
assert_assay_feature_descriptor(x, .fds = NULL)
is_assay_feature_descriptor(x, .fds = NULL)
assert_expression_result(x)
is_expression_result(x)
assert_sample_statistics(x)
is_sample_statistics(x)
assert_sample_covariates(x)
is_sample_covariates(x)
assert_columns(x, req.cols)
has_columns(x, req.cols, warn = TRUE)
assert_covariate_definitions(x, required = NULL)
is_covariate_definitions(x, required = NULL)
pass a data.frame around with dataset and sample_id columns
pass a "loaded up" tbl_sqlite" over the sample_covariate table which has your filters of interest set
If .fds is provided, it must be a FaclieDataSet
and these functions
will check to ensure that the x[['assay']]
is a valid assay element
in .fds
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