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62 lines
2.8 KiB
R
62 lines
2.8 KiB
R
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# Must install:
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# install.packages("data.table")
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library(data.table)
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black.marble.share <- output.index[, .(
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coinbase.share = 100 * sum(tx_num == 1)/.N,
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mordinal.share = 100 * sum(is_mordinal)/.N), by = "block_date"]
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setorder(black.marble.share, block_date)
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# Get number of Mordinals, fees paid, and tx size
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output.index[is_mordinal & output_num == 1, .N]
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output.index[is_mordinal & output_num == 1, sum(tx_fee) * 0.000000000001]
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output.index[is_mordinal & output_num == 1, sum(tx_size_bytes)]
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eff.ring.size <- xmr.rings[, .(
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n.coinbase.ring.members = sum(tx_num == 1), n.mordinal.ring.members = sum(is_mordinal), ring.size = .N),
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by = c("tx_hash", "input_num", "block_timestamp_ring")]
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eff.ring.size[, share.mordinal.ring.members := n.mordinal.ring.members/ring.size]
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eff.ring.size[, effective.ring.size.coinbase := ring.size - n.coinbase.ring.members]
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eff.ring.size[, effective.ring.size.mordinal := ring.size - n.mordinal.ring.members]
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eff.ring.size[, effective.ring.size.coinbase.mordinal := ring.size - n.coinbase.ring.members - n.mordinal.ring.members]
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eff.ring.size[, block_timestamp_ring.time := as.POSIXct(block_timestamp_ring, origin = "1970-01-01")]
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eff.ring.size.date <- unique(eff.ring.size[, .(block_timestamp_ring.time = block_timestamp_ring.time)])
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eff.ring.size.date[, block_timestamp_ring.time.isoweek :=
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paste(lubridate::isoyear(block_timestamp_ring.time),
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formatC(lubridate::isoweek(block_timestamp_ring.time), width = 2, flag = "0"), sep = "-")]
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eff.ring.size.date[, block_timestamp_ring.time.date := as.Date(block_timestamp_ring.time)]
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eff.ring.size <- merge(eff.ring.size, eff.ring.size.date)
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# speed improvement by splitting and then merging
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setorder(eff.ring.size, block_timestamp_ring.time.date)
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eff.ring.size.stats <- eff.ring.size[, .(
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effective.ring.size.coinbase.mean = as.numeric(mean(effective.ring.size.coinbase)),
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effective.ring.size.coinbase.median = as.numeric(median(effective.ring.size.coinbase)),
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effective.ring.size.coinbase.percentile.05 = as.numeric(quantile(effective.ring.size.coinbase, probs = 0.05)),
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effective.ring.size.mordinal.mean = as.numeric(mean(effective.ring.size.mordinal)),
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effective.ring.size.mordinal.median = as.numeric(median(effective.ring.size.mordinal)),
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effective.ring.size.mordinal.percentile.05 = as.numeric(quantile(effective.ring.size.mordinal, probs = 0.05)),
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effective.ring.size.coinbase.mordinal.mean = as.numeric(mean(effective.ring.size.coinbase.mordinal)),
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effective.ring.size.coinbase.mordinal.median = as.numeric(median(effective.ring.size.coinbase.mordinal)),
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effective.ring.size.coinbase.mordinal.percentile.05 = as.numeric(quantile(effective.ring.size.coinbase.mordinal, probs = 0.05))
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# as.numeric() to make sure results of each "by" subset are all floats
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), by = "block_timestamp_ring.time.date"]
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setorder(eff.ring.size.stats, block_timestamp_ring.time.date)
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