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| library(httr) | |
| library(ggplot2) | |
| add_cat <- function(width = 400, height = 400){ | |
| r <- GET(paste("http://theoldreader.com/kittens", width, height, sep = "/")) | |
| stop_for_status(r) | |
| img <- content(r) | |
| bw <- 0.2989*img[,,1] + 0.5870*img[,,2] + 0.1140*img[,,3] | |
| lighter <- bw + (0.7 * (1-bw)) | |
| annotation_raster(lighter, xmin=-Inf, xmax=Inf, ymin=-Inf, ymax=Inf) |
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| require(proto) | |
| stat_qqline <- function (mapping = NULL, data = NULL, geom = "abline", position = "identity", | |
| distribution = qnorm, dparams = list(), na.rm = FALSE, ...) { | |
| StatQqline$new(mapping = mapping, data = data, geom = geom, position = position, | |
| distribution = distribution, dparams = dparams, na.rm = na.rm, ...) | |
| } | |
| StatQqline <- proto(ggplot2:::Stat, { | |
| objname <- "qqline" |
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| library(plyr) | |
| library(ggplot2) | |
| # from: http://www.codeproject.com/Articles/18149/Draw-a-US-Flag-using-C-and-GDI | |
| star_coords <- function(x, y, r, r1){ | |
| a <- 72 * pi /180 | |
| b <- a/2 | |
| df <- data.frame( | |
| x = x + c(0, r1*sin(b), r*cos(pi/2 - a), r1*cos(a + b - pi/2), r*sin(b), | |
| 0, -r*sin(b), -r1*cos(a + b - pi/2), - r*cos(pi/2 - a), -r1*sin(b)), |
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| fitted_variofit <- function (x, max.dist, scaled = FALSE, ...) { | |
| my.l <- list() | |
| if (missing(max.dist)) { | |
| my.l$max.dist <- x$max.dist | |
| if (is.null(my.l$max.dist)) | |
| stop("argument max.dist needed for this object") | |
| } | |
| else my.l$max.dist <- max.dist | |
| if (any(x$cov.model == c("matern", "powered.exponential", | |
| "cauchy", "gencauchy", "gneiting.matern"))) |
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| library(shiny) | |
| library(ggplot2) | |
| # Define server logic required to generate and plot a random distribution | |
| shinyServer(function(input, output) { | |
| generate_data <- reactive( | |
| function(){ | |
| mu <- c(input$mu_1, input$mu_2, input$mu_3) | |
| tmp <- data.frame(len = rnorm(length(mu) * input$n, | |
| mean = rep(mu, each = input$n), |
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| require(proto) | |
| stat_qqline <- function (mapping = NULL, data = NULL, geom = "abline", position = "identity", | |
| distribution = qnorm, dparams = list(), na.rm = FALSE, ...) { | |
| StatQqline$new(mapping = mapping, data = data, geom = geom, position = position, | |
| distribution = distribution, dparams = dparams, na.rm = na.rm, ...) | |
| } | |
| StatQqline <- proto(ggplot2:::Stat, { | |
| objname <- "qqline" |
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| #------------------------------------------------------------ | |
| # REVOLUTION ANALYTICS WEBINAR: INTRODUCTION TO R FOR DATA MINING | |
| # February 14, 2013 | |
| # Joseph B. Rickert | |
| # Technical Marketing Manager | |
| # | |
| # BIG DATA with RevoScaleR | |
| # | |
| # Copyright: Revolution Analytics |
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| <!doctype HTML> | |
| <meta charset = 'utf-8'> | |
| <html> | |
| <head> | |
| <script src='http://ramnathv.github.io/rCharts/libraries/widgets/polycharts/js/polychart2.standalone.js' type='text/javascript'></script> | |
| <style> | |
| .rChart { | |
| display: block; |
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| easterEgg.BadWorder.list={ | |
| "4r5e":1, | |
| "5h1t":1, | |
| "5hit":1, | |
| a55:1, | |
| anal:1, | |
| anus:1, | |
| ar5e:1, | |
| arrse:1, | |
| arse:1, |
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| ngrams.tokenizer <- function(x, n = 2) { | |
| trim <- function(x) gsub("(^\\s+|\\s+$)", "", x) | |
| terms <- strsplit(trim(x), split = "\\s+")[[1]] | |
| ngrams <- vector() | |
| if (length(terms) >= n) { | |
| for (i in n:length(terms)) { | |
| ngram <- paste(terms[(i-n+1):i], collapse = " ") | |
| ngrams <- c(ngrams,ngram) | |
| } | |
| } |
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