View source: R/calc_achievement.R
adorn_achievement | R Documentation |
'adorn_achievement' calculate target achievement (cumulative and/or quarterly) for a standard MSD or one reshaped using 'reshape_msd'()' as well as to apply achievement group labels and colors. It will run 'calc_achievement' if an achievement column does not exist in the dataset.
adorn_achievement(df, qtr = NULL, classic = FALSE)
df |
data frame as standrd MSD or one from reshape_msd() |
qtr |
if using standard MSD, need to provide the most recent quarter, ideally using identifypd(df_msd, pd_type = "quarter") |
classic |
use the original OHA achievement color palette (pre July 2024), default = FALSE |
data frame with achievement values, labels, and colors
Other achievement:
calc_achievement()
## Not run:
df_msd <- read_msd(path)
df_msd_agg <- df_msd %>%
filter(operatingunit == "Jupiter"
indicator %in% c("TX_NEW", "TX_CURR"),
funding_agency != "Dedup",
standardizeddisaggregate == "Total Numerator") %>%
group_by(operatingunit, funding_agency, fiscal_year, indicator) %>%
summarise(across(where(is.double), sum, na.rm = TRUE)) %>%
ungroup()
adorn_achievement(df_msd_agg)
df_msd_agg %>%
reshape_msd("quarters") %>%
adorn_achievement()
df_msd_agg %>%
reshape_msd("quarters", qtrs_keep_cumulative = TRUE) %>%
adorn_achievement()
## End(Not run)
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