Hi Ben,

ADSL and ADAE dataset are compared and no issue found. I have derived 2 new variable in ADAE which are AREL and TRTA and 1 new variable in ADSL which is TRTA.
Thanks,
Jeetender

data-raw/forestly_adae.R

@@ -0,0 +1,43 @@
+
+library(arsenal)
+library(stringr)
+
+
+
+adae <- r2rtf::r2rtf_adae
+
+
+load("~/forestly/data/forestly_adae_3grp.rda")
+
+
+# Derive AREL from existing AEREL
+adae <- adae %>%
+  mutate(AREL = case_when(
+    AEREL %in% c("PROBABLE", "POSSIBLE") ~ "RELATED",
+    AEREL %in% c("NONE", "REMOTE", "") ~ "NOT RELATED",
+    TRUE ~ AEREL  # Keep original AREL if none of the conditions are met
+  ),
+  TRTA = str_replace_all(as.character(TRTA), "Xanomeline ", "") %>% as.factor()  # Remove "Xanomeline " and convert to factor
+  )
+
+freq <- adae %>% count(AREL, AEREL) %>%
+  arrange(desc(n))
+print(freq)
+
+str(adae$TRTA)
+str(forestly_adae_3grp$TRTA)
+
+# Define the desired order of levels
+desired_levels <- c("Placebo", "Low Dose", "High Dose")
+
+# Standardize TRTA in adae
+adae$TRTA <- factor(adae$TRTA, levels = desired_levels)
+
+source("~/forestly/R/function_dataset0compare.R")
+
+# Call the function to compare the datasets and save the summary
+comparison_result <- compare_datasets(adae, forestly_adae_3grp, "compareresult_adae.html")
+
+# Save the adae  dataset as an .rda file
+save(adae, file = "~/forestly/data-raw/forestly_adae.rda")
+

data-raw/forestly_adsl.R

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+
+library(arsenal)
+library(stringr)
+
+
+adsl <- r2rtf::r2rtf_adsl
+
+
+
+
+load("~/forestly/data/forestly_adsl_3grp.rda")
+
+
+
+source("~/forestly/R/function_dataset0compare.R")
+
+
+#Compare ADSL dataset
+
+freq <- forestly_adsl_3grp %>% count(TRT01A, TRTA) %>%
+  arrange(desc(n))
+print(freq)
+
+# Derive TRTA from existing AEREL
+adsl <- adsl %>%
+  mutate(
+   TRTA = str_replace_all(as.character(TRT01A), "Xanomeline ", "") %>% as.factor()  # Remove "Xanomeline " and convert to factor
+  )
+
+# Define the desired order of levels
+desired_levels <- c("Placebo", "Low Dose", "High Dose")
+
+# Standardize TRTA in adae
+adsl$TRTA <- factor(adsl$TRTA, levels = desired_levels)
+
+
+# Save the adae  dataset as an .rda file
+save(adsl, file = "~/forestly/data-raw/forestly_adsl.rda")