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#                Corrected Code
# ==========================================================

# 1. Load the faersR package.
library(faersR)

dic_drug('Taliglucerase |Elelyso |uplyso')
# 2. Clear all previous filters to ensure a clean start.
filt_clear()


# 3. Set the drug role filter to include only reports where the drug is the primary suspect.
filt_drug.role(primary.suspect = TRUE)

# 4. Define the time frame for data extraction by creating a sequence of all quarters from 1994 to 2023.
#    Note: This sets the broadest possible time frame; the final analysis period is determined by data availability.
years_to_filter <- 1994:2023
all_quarters <- paste0(rep(years_to_filter, each = 4), "Q", 1:4)
do.call(filt_yearQ, list(all_quarters))

# 5. Display the current filter settings for verification.
filt_show()

# 6. Define the query terms for the specific drug in this comparative analysis: Taliglucerase (brand names: Elelyso, Uplyso).
#    Note: The va