# Time series
Pde <- mds::deviceevent(
maude,
time="date_received",
device_hierarchy=c("device_name", "device_class"),
event_hierarchy=c("event_type", "medical_specialty_description"),
key="report_number",
covariates="region",
descriptors="_all_")
Pexp <- mds::exposure(
sales,
time="sales_month",
device_hierarchy="device_name",
match_levels="region",
count="sales_volume"
)
Pda <- mds::define_analyses(
Pde, "device_name",
exposure=Pexp,
covariates="region")
Pdadf <- mds::define_analyses_dataframe(Pda)
# Pts <- mds::time_series(Pda[sample(c(1:length(Pda)), 3)], Pde, Pexp)
Pts <- mds::time_series(Pda[c(1, 10, 20)], Pde, Pexp)
mds_ts <- Pts
devtools::use_data(mds_ts, overwrite=T)
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