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new function color_plot() added with tests
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@ -12,6 +12,7 @@
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#' @param method A character string that specifies the method for calculating
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#' @param method A character string that specifies the method for calculating
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#' the luminance. Three different methods are available:
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#' the luminance. Three different methods are available:
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#' c("relative","perceived","perceived_2")
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#' c("relative","perceived","perceived_2")
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#' @param ... parameter overflow. Ignored.
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#' @details
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#' @details
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#' This function aids in deciding the font color to print on a given background.
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#' This function aids in deciding the font color to print on a given background.
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#' The function is based on the example provided by teppo:
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#' The function is based on the example provided by teppo:
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@ -32,7 +33,8 @@ contrast_text <- function(background,
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light_text = 'white',
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light_text = 'white',
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dark_text = 'black',
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dark_text = 'black',
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threshold = 0.5,
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threshold = 0.5,
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method = "perceived_2") {
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method = "perceived_2",
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...) {
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if (method == "relative") {
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if (method == "relative") {
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luminance <-
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luminance <-
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c(c(.2126, .7152, .0722) %*% grDevices::col2rgb(background) / 255)
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c(c(.2126, .7152, .0722) %*% grDevices::col2rgb(background) / 255)
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@ -50,3 +52,66 @@ contrast_text <- function(background,
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dark_text)
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dark_text)
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}
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}
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#' Plot color examples with contrasting text
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#'
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#' Plots color examples with contrasting text. Parameters are passed to
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#' contrast_text.
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#' @param colors Vector of colors to plot
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#' @param labels Show color names. Default is TRUE
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#' @param borders Border parameter for 'rect()' function. Default is NULL
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#' @param cex_label Label size. Default is 1.
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#' @param ncol Desired number of columns. Default is ceiling of square root to
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#' the length of 'colors' vector provided.
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#' @param ... Parameters for the
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#'
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#' @return base plot
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#' @export
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#'
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#' @importFrom graphics par rect text
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#'
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#' @examples
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#' par(bg=NULL)
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#' colors <- sample(colors(),size = 20)
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#' color_plot(colors, method="relative")
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#'
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color_plot <-
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function (colors,
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labels = TRUE,
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borders = NULL,
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cex_label = 1,
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ncol = NULL,
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...){
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n <- length(colors)
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ncol <- if (is.null(ncol)) ceiling(sqrt(length(colors))) else ncol
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nrow <- ceiling(n / ncol)
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colors <- c(colors, rep(NA, nrow * ncol - length(colors)))
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colors <- matrix(colors, ncol = ncol, byrow = TRUE)
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old <- par(pty = "s", mar = c(0, 0, 0, 0))
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on.exit(par(old))
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size <- max(dim(colors))
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plot(
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c(0, size),
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c(0, -size),
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type = "n",
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xlab = "",
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ylab = "",
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axes = FALSE
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)
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rect(
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col(colors) - 1,
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-row(colors) + 1,
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col(colors),
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-row(colors),
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col = colors,
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border = borders
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)
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if (labels) {
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label_col <- contrast_text(colors,...)
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text(col(colors) - 0.5,
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-row(colors) + 0.5,
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colors,
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cex = cex_label,
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col = label_col)
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}
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}
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42
man/color_plot.Rd
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42
man/color_plot.Rd
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@ -0,0 +1,42 @@
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/contrast_text.R
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\name{color_plot}
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\alias{color_plot}
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\title{Plot color examples with contrasting text}
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\usage{
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color_plot(
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colors,
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labels = TRUE,
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borders = NULL,
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cex_label = 1,
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ncol = NULL,
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...
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)
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}
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\arguments{
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\item{colors}{Vector of colors to plot}
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\item{labels}{Show color names. Default is TRUE}
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\item{borders}{Border parameter for 'rect()' function. Default is NULL}
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\item{cex_label}{Label size. Default is 1.}
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\item{ncol}{Desired number of columns. Default is ceiling of square root to
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the length of 'colors' vector provided.}
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\item{...}{Parameters for the}
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}
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\value{
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base plot
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}
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\description{
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Plots color examples with contrasting text. Parameters are passed to
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contrast_text.
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}
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\examples{
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par(bg=NULL)
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colors <- sample(colors(),size = 20)
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color_plot(colors, method="relative")
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}
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@ -9,7 +9,8 @@ contrast_text(
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light_text = "white",
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light_text = "white",
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dark_text = "black",
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dark_text = "black",
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threshold = 0.5,
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threshold = 0.5,
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method = "perceived_2"
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method = "perceived_2",
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...
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)
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)
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}
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}
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\arguments{
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\arguments{
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@ -26,6 +27,8 @@ the luminance threshold of the background color for text color.}
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\item{method}{A character string that specifies the method for calculating
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\item{method}{A character string that specifies the method for calculating
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the luminance. Three different methods are available:
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the luminance. Three different methods are available:
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c("relative","perceived","perceived_2")}
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c("relative","perceived","perceived_2")}
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\item{...}{parameter overflow. Ignored.}
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}
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}
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\value{
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\value{
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A character string that contains the best contrast text color.
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A character string that contains the best contrast text color.
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BIN
tests/testthat/data/test1.png
Normal file
BIN
tests/testthat/data/test1.png
Normal file
Binary file not shown.
After Width: | Height: | Size: 32 KiB |
BIN
tests/testthat/data/test2.png
Normal file
BIN
tests/testthat/data/test2.png
Normal file
Binary file not shown.
After Width: | Height: | Size: 17 KiB |
BIN
tests/testthat/data/test3.png
Normal file
BIN
tests/testthat/data/test3.png
Normal file
Binary file not shown.
After Width: | Height: | Size: 8.4 KiB |
@ -2,6 +2,7 @@
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library(testthat)
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library(testthat)
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test_that("contrast_text() returns the correct text color", {
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test_that("contrast_text() returns the correct text color", {
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expect_equal(contrast_text("#FFFFFF"), "black")
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expect_equal(contrast_text("#FFFFFF"), "black")
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expect_equal(contrast_text("#000000"), "white")
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expect_equal(contrast_text("#000000"), "white")
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@ -9,4 +10,51 @@ test_that("contrast_text() returns the correct text color", {
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"green")
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"green")
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expect_equal(contrast_text("#000000", light_text="blue", dark_text="green"),
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expect_equal(contrast_text("#000000", light_text="blue", dark_text="green"),
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"blue")
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"blue")
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})
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})
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################################################################################
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library(devtools)
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install_github("MangoTheCat/visualTest")
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library(visualTest)
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test_that("New test of color_plot()", {
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par(bg=NULL)
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colors <- colors()[34:53]
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# old <- getwd()
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# setwd("/Users/au301842/stRoke/tests/testthat")
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# setwd(old)
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png(filename = "data/test1.png")
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color_plot(colors,method="relative")
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dev.off()
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# getFingerprint("data/test1.png")
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expect_equal(getFingerprint("data/test1.png"), "AD07D27813E1D867")
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# isSimilar(tmp, "AD07D27813E1D867", threshold = 8)
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#############################
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# colors <- colors()[51:70]
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png(filename = "data/test2.png")
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color_plot(colors,labels = TRUE, borders = FALSE,cex_label = .5, ncol = 3, method="perceived_2")
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dev.off()
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# getFingerprint("data/test2.png")
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expect_equal(getFingerprint("data/test2.png"), "8B0B54D4E4AF2BB1")
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#############################
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png(filename = "data/test3.png")
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color_plot(colors,labels = FALSE, borders = TRUE, ncol = 6, method="perceived")
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dev.off()
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# getFingerprint("data/test3.png")
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expect_equal(getFingerprint("data/test3.png"), "B706F0F1C119CCF8")
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})
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################################################################################
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