Open jaliasd opened 5 years ago
is there an output file somewhere that we can download?
Heads up with your code @jaliasd, you are aggregating ALL of HTS_TST for df_hts
and df_pos
. You need to first drop out the KP disaggs, otherwise you're double counting.
## create HTS frm all week2 dps, summarize at im/indicator level
df_hts <- cascade %>%
filter(indicator == "HTS_TST")
df_hts_tst <- df_hts %>%
group_by(mechanismid, indicator) %>%
summarise_at(vars(fy2020_targets), sum, na.rm = TRUE) %>%
ungroup()
df_pos <- df_hts %>%
group_by(mechanismid, indicator, resultstatus) %>%
summarise_at(vars(fy2020_targets), sum, na.rm = TRUE) %>%
ungroup() %>%
dplyr::mutate(indicator = dplyr::case_when(resultstatus == "Positive" ~ "HTS_TST_POS", resultstatus == "Negative" ~ "HTS_TST_NEG")) %>%
select(-resultstatus)
Per Elan's request, create a file that has
COP19 datapack targets for TX_NEW, TX_CURR, HTS_TST, and HTS_TST_POS, at the OU by IM level
the FY19 targets at the same aggragation from the MER structured datasets.
I pulled the targets from the MSD and merged them into the munged datapack targets
code here