mirror of
https://github.com/Rucknium/misc-research.git
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177 lines
7.4 KiB
R
177 lines
7.4 KiB
R
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library(ggplot2)
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library(data.table)
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library(Cairo)
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multi.chain <- list(
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xmr = readRDS(""),
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ltc = readRDS(""),
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bch = readRDS(""),
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doge = readRDS("")
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)
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for (i in names(multi.chain)) {
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print(i)
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print(summary(multi.chain[[i]][,
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diff(sort(unique(canon.receive_time))) ]))
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}
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multi.chain.tx.eligiibility <- list()
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for (i in c("P2Pool", names(multi.chain))) {
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print(i)
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if (i == "P2Pool") {
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block.template.update.adjustment <- multi.chain[["xmr"]][,
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mean(diff(sort(unique(canon.receive_time))), na.rm = TRUE)]
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print(block.template.update.adjustment)
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multi.chain.tx.eligiibility[[i]] <- multi.chain[["xmr"]][ (is_p2pool),
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.(coin = "P2Pool", block.template.update =
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min(canon.block_receive_time - canon.receive_time -
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block.template.update.adjustment, na.rm = TRUE) / 60), by = "block_height"]
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# Removes transactions with no canon.receive_time. The nodes did not see
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# those transactions before they appeared in a received block
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# WARNING: Produces Infs when block has no transactions
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} else {
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block.template.update.adjustment <- multi.chain[[i]][,
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mean(diff(sort(unique(canon.receive_time))), na.rm = TRUE)]
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print(block.template.update.adjustment)
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multi.chain.tx.eligiibility[[i]] <- multi.chain[[i]][,
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.(coin = i, block.template.update =
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min(canon.block_receive_time - canon.receive_time -
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block.template.update.adjustment, na.rm = TRUE) / 60), by = "block_height"]
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# Removes transactions with no canon.receive_time. The nodes did not see
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# those transactions before they appeared in a received block
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# WARNING: Produces Infs when block has no transactions
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}
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}
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multi.chain.tx.eligiibility <- data.table::rbindlist(multi.chain.tx.eligiibility)
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multi.chain.tx.eligiibility <- multi.chain.tx.eligiibility[is.finite(block.template.update), ]
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multi.chain.tx.eligiibility <- multi.chain.tx.eligiibility[block.template.update < 0, block.template.update := 0]
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multi.chain.tx.eligiibility[, coin := factor(coin, levels = c("doge", "bch", "ltc", "P2Pool", "xmr"),
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labels = c("Dogecoin", "Bitcoin Cash", "Litecoin", "Monero (P2Pool only)", "Monero (all blocks)"))]
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sum.stats <- function(x) {
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r <- quantile(x, probs = c(0.05, 0.25, 0.5, 0.75, 0.95))
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names(r) <- c("ymin", "lower", "middle", "upper", "ymax")
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r
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}
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# https://stackoverflow.com/questions/21915286/r-ggplot2-geom-boxplot-with-custom-quantiles
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png("Monero-TX-Confirm-Delay/images/coin-comparison-tx-eligibility-boxplot.png", width = 800, height = 200)
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ggplot(multi.chain.tx.eligiibility, aes(y = coin, x = block.template.update)) +
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stat_summary(fun.data = sum.stats, geom = "boxplot", position = "dodge", width = 0.75,
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fill = c("#d9bd62", "#0AC18E", "#A6A9AA", "#FF6600", "#FF6600")) +
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ggtitle("Boxplots of Time Between Transactions Entering the Mempool and\nBecoming Candidates for Blockchain Confirmation, by Coin") +
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xlab(" Minutes github.com/Rucknium") +
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stat_summary(fun = mean, geom = "point", shape = 18, size = 3, color = "blue") +
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scale_x_continuous(breaks = 0:10, expand = expansion(mult = c(0, 0.05))) +
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expand_limits(x = 0) +
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theme(axis.ticks.y = element_blank(), plot.title = element_text(size = 20),
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axis.text = element_text(size = 15), axis.title.x = element_text(size = 15),
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axis.title.y = element_blank())
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dev.off()
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# "#0AC18E"
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# https://bitcoincash.org/graphics/
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# "#A6A9AA"
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# https://www.litecoin.net/litecoin-foundation#resources
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# "#d9bd62"
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# https://www.reddit.com/r/dogecoin/comments/2lpwtv/what_is_the_exact_color_name_we_use_on_doge_the/
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# "#FF6600"
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# Monero orange
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png("Monero-TX-Confirm-Delay/images/coin-comparison-tx-eligibility-barchart.png", width = 800, height = 200)
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ggplot(multi.chain.tx.eligiibility, aes(y = coin, x = block.template.update)) +
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ggtitle("Average Time Between Transactions Entering the Mempool and\nBecoming Candidates for Blockchain Confirmation, by Coin") +
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xlab(" Minutes github.com/Rucknium") +
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stat_summary(fun = mean, geom = "bar", col = "black",
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fill = c("#d9bd62", "#0AC18E", "#A6A9AA", "#FF6600", "#FF6600"), width = 0.75) +
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scale_x_continuous(breaks = 0:10, expand = expansion(mult = c(0, 0.05))) +
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expand_limits(x = 0) +
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theme(axis.ticks.y = element_blank(), plot.title = element_text(size = 20),
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axis.text = element_text(size = 15), axis.title.x = element_text(size = 15),
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axis.title.y = element_blank())
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dev.off()
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multi.chain.tx.confirmation <- list()
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for (i in names(multi.chain)) {
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print(i)
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multi.chain.tx.confirmation[[i]] <- multi.chain[[i]][,
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.(coin = i, confirm.delay =
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(canon.block_receive_time - canon.receive_time) / 60)]
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print(mean(multi.chain.tx.confirmation[[i]]$confirm.delay, na.rm = TRUE))
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}
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multi.chain.tx.confirmation <- data.table::rbindlist(multi.chain.tx.confirmation)
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multi.chain.tx.confirmation <- multi.chain.tx.confirmation[! is.na(confirm.delay), ]
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multi.chain.tx.confirmation <- multi.chain.tx.confirmation[confirm.delay < 0, confirm.delay := 0]
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multi.chain.tx.confirmation[, coin := factor(coin, levels = c("doge", "bch", "ltc", "xmr"),
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labels = c("Dogecoin", "Bitcoin Cash", "Litecoin", "Monero"))]
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multi.chain.tx.confirmation[, as.list(summary(confirm.delay * 60)), by = "coin"]
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# Summary stats of delay of confirmation time for each coin
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sum.stats <- function(x) {
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r <- quantile(x, probs = c(0.05, 0.25, 0.5, 0.75, 0.95))
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names(r) <- c("ymin", "lower", "middle", "upper", "ymax")
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r
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}
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# https://stackoverflow.com/questions/21915286/r-ggplot2-geom-boxplot-with-custom-quantiles
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png("Monero-TX-Confirm-Delay/images/coin-comparison-tx-confirmation-boxplot.png", width = 800, height = 200)
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ggplot(multi.chain.tx.confirmation, aes(y = coin, x = confirm.delay)) +
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stat_summary(fun.data = sum.stats, geom = "boxplot", position = "dodge", width = 0.75,
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fill = c("#d9bd62", "#0AC18E", "#A6A9AA", "#FF6600")) +
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ggtitle("Boxplots of Time Between Transactions Entering the Mempool and\nBeing Confirmed on the Blockchain") +
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xlab(" Minutes github.com/Rucknium") +
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stat_summary(fun = mean, geom = "point", shape = 18, size = 3, color = "blue") +
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scale_x_continuous(breaks = 0:50, expand = expansion(mult = c(0, 0.05))) +
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expand_limits(x = 0) +
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theme(axis.ticks.y = element_blank(), plot.title = element_text(size = 20),
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axis.text = element_text(size = 15), axis.title.x = element_text(size = 15),
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axis.title.y = element_blank())
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dev.off()
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png("Monero-TX-Confirm-Delay/images/coin-comparison-tx-confirmation-barchart.png", width = 800, height = 200)
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ggplot(multi.chain.tx.confirmation,
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aes(y = coin, x = confirm.delay)) +
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ggtitle("Average Time Between Transactions Entering the Mempool and\nBeing Confirmed on the Blockchain") +
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xlab(" Minutes github.com/Rucknium") +
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stat_summary(fun = mean, geom = "bar", col = "black",
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fill = c("#d9bd62", "#0AC18E", "#A6A9AA", "#FF6600"), width = 0.75) +
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scale_x_continuous(breaks = 0:50, expand = expansion(mult = c(0, 0.05))) +
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theme(axis.ticks.y = element_blank(), plot.title = element_text(size = 20),
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axis.text = element_text(size = 15), axis.title.x = element_text(size = 15),
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axis.title.y = element_blank())
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dev.off()
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