add normal distribution
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af71948632
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2
alai.R
2
alai.R
@ -2,4 +2,4 @@ source("config.R")
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if (!exists("dbListTables", mode = "function")) source("mysql.R")
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dbListTables(conn)
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source("distribucion_normal.R")
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98
distribucion_normal.R
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98
distribucion_normal.R
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@ -0,0 +1,98 @@
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result <- dbSendQuery(conn, consulta_frames)
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data <- fetch(result)
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get_variance <- function(dataset = vector(), mean = 0) {
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sum <- 0
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for (item in dataset) {
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sum <- sum + ((item - mean) ^ 2)
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}
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variance <- sum / length(dataset)
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return(variance)
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}
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get_standard_deviation <- function(variance = 0) {
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return(round(sqrt(variance)))
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}
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dnorm_plot <- function(filename = "dnorm", dataset = vector(), title = "Title", xlab = "X Label") {
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mean <- round(mean(dataset))
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standard_deviation <- get_standard_deviation(get_variance(dataset, mean))
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possibility <- dnorm(dataset, mean, standard_deviation)
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png(file = filename)
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plot(dataset,
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possibility,
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xlab = xlab,
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ylab = "Probability Density",
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col = "blue",
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main = title)
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abline(v = c(mean, mean - standard_deviation, mean + standard_deviation),
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col = c("green", "red", "red"),
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lty = c(2, 2, 2))
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legend("topright",
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legend = c(round(mean, 2), standard_deviation),
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col = c("green", "red"),
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lty = 2,
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lwd = 1,
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box.lty = 1)
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}
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pnorm_less <- function(dataset = vector(), value = 0, word = "") {
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mean <- mean(dataset)
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standard_deviation <- get_standard_deviation(get_variance(dataset, mean))
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probability_text <- "The probability of getting less than"
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probability_text <- paste(probability_text, value)
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probability_text <- paste(probability_text, word)
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probability_text <- paste(probability_text, "is")
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probability_text <- paste(probability_text, round(pnorm(value, mean, standard_deviation) * 100, 2))
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probability_text <- paste(probability_text, "%", sep = "")
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print(probability_text)
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}
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pnorm_more <- function(dataset = vector(), value = 0, word = "") {
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mean <- mean(dataset)
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standard_deviation <- get_standard_deviation(get_variance(dataset, mean))
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probability_text <- "The probability of getting more than"
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probability_text <- paste(probability_text, value)
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probability_text <- paste(probability_text, word)
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probability_text <- paste(probability_text, "is")
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probability_text <- paste(probability_text, round(pnorm(value, mean, standard_deviation, lower.tail = FALSE) * 100, 2))
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probability_text <- paste(probability_text, "%", sep = "")
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print(probability_text)
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}
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pnorm_between <- function(dataset = vector(), min = 0, max = 0, word = "") {
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mean <- mean(dataset)
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standard_deviation <- get_standard_deviation(get_variance(dataset, mean))
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probability_text <- "The probability of getting between"
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probability_text <- paste(probability_text, min)
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probability_text <- paste(probability_text, "and")
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probability_text <- paste(probability_text, max)
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probability_text <- paste(probability_text, "coins is")
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probability_text <- paste(probability_text, round((pnorm(max, mean, standard_deviation) - pnorm(min, mean, standard_deviation)) * 100, 2))
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probability_text <- paste(probability_text, "%", sep = "")
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print(probability_text)
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}
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dnorm_plot("out/dnorm_coins.png", sort(data[, 1]), "Coins Normal Distribution", xlab = "Coins")
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dnorm_plot("out/dnorm_time.png", sort(data[, 2]), "Time Normal Distribution", xlab = "Time (s)")
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pnorm_less(sort(data[, 1]), 5, "coins")
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pnorm_more(sort(data[, 1]), 5, "coins")
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pnorm_between(sort(data[, 1]), 8, 10, "coins")
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16
mysql.R
16
mysql.R
@ -1,6 +1,6 @@
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library(RMySQL)
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conn = dbConnect(
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conn <- dbConnect(
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MySQL(),
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user = dbuser,
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password = dbpass,
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@ -8,3 +8,17 @@ conn = dbConnect(
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host = dbhost,
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port = dbport
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)
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consulta_frames <- "
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SELECT
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f.coins, CAST((f.elapsed_time / 1000) AS INT)
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FROM game g
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LEFT JOIN player p ON (p.id = g.player_id)
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LEFT JOIN frame f ON (f.game_id = g.id)
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WHERE (
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f.id = (
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SELECT id FROM frame WHERE game_id = g.id ORDER BY elapsed_time DESC LIMIT 1
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)
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)
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GROUP BY g.id;
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"
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BIN
out/dnorm_coins.png
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out/dnorm_coins.png
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After Width: | Height: | Size: 16 KiB |
BIN
out/dnorm_time.png
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out/dnorm_time.png
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After Width: | Height: | Size: 17 KiB |
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