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@ -40,10 +40,11 @@ dupe_detect <- function(row, grid, cutoff_lower, cutoff_upper = 1, es_pwd, es_su
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duplicates <- which(simil >= cutoff_lower & simil <= cutoff_upper, arr.ind = TRUE)
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duplicates <- which(simil >= cutoff_lower & simil <= cutoff_upper, arr.ind = TRUE)
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duplicates <- cbind(duplicates, rowid= rownames(duplicates))
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duplicates <- cbind(duplicates, rowid= rownames(duplicates))
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rownames(duplicates) <- seq(1:length(rownames(duplicates)))
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rownames(duplicates) <- seq(1:length(rownames(duplicates)))
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df <- as.data.frame(duplicates, make.names = NA) %>%
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df <- as.data.frame(duplicates, make.names = NA, stringsAsFactors = F) %>%
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mutate(colid = colnames(simil)[col]) %>%
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# bind_cols(colid = colnames(simil)[.['col']]) %>%
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mutate(colid = colnames(simil)[as.numeric(col)]) %>%
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.[,c(3,4)] %>%
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.[,c(3,4)] %>%
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group_by(rowid) %>% summarise(colid=list(colid))
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group_by(colid) %>% summarise(rowid=list(rowid))
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text <- capture.output(stream_out(df))
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text <- capture.output(stream_out(df))
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# write(text[-length(text)], file = paste0(getwd(),'/dupe_objects.json'), append=T)
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# write(text[-length(text)], file = paste0(getwd(),'/dupe_objects.json'), append=T)
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simil[upper.tri(simil)] <- NA
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simil[upper.tri(simil)] <- NA
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