I\'d like to do what I think is a very simple operation -- adding a column with a number for each person to a dataset with a list of (potentially) duplicative names. I think
I figured out the answer to my own question.
df_names <- df_names %>% mutate(ID = 1:nrow(df_names))
rpairs <- compare.dedup(df_names)
p=epiWeights(rpairs)
classify <- epiClassify(p,0.83)
summary(classify)
matches <- getPairs(classify, show = "links", single.rows = TRUE)
this code writes an "ID" column that is the same for similar names
matches <- matches %>% arrange(ID.1) %>% filter(!duplicated(ID.2))
df_names$ID_prior <- df_names$ID
merge matching information with the original data
df_names <- left_join(df_names, matches %>% select(ID.1,ID.2), by=c("ID"="ID.2"))
replace matches in ID with the thing they match with from ID.1
df_names$ID <- ifelse(is.na(df_names$ID.1), df_names$ID, df_names$ID.1)