knitr::opts_chunk$set(echo = TRUE) knitr::opts_chunk$set( fig.path = "man/figures/" )
Code and general idea inspired by the "Wes Anderson Palettes" R-Package.
citation('LimnoPalettes')
Version 0.1.0
is offically on CRAN
install.packages("LimnoPalettes")
Development version can be installed from this repo.
install.packages("devtools");# if you do not have it installed on your PC devtools::install_github("SwampThingPaul/LimnoPalettes")
library(imager) library(LimnoPalettes) im=load.image("./images/SummerIowaLakes_GWilkinson.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("IowaSummer"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Grace Wilkinson (Twitter: goodgracious23)",adj=0)
im=load.image("./images/PeriphytonFA_MMeyer.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("PeriFA"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Michael Meyer (Twitter: mishafredmeyer)",adj=0)
im=load.image("./images/Bloom1_SBurnet.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("Bloom1"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Sarah Burnet (Twitter: limnosarah)",adj=0)
im=load.image("./images/Bloom2_SBurnet.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("Bloom2"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Sarah Burnet (Twitter: limnosarah)",adj=0)
im=load.image("./images/LakeSuperiorIce_SBurnet.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("SuperIce"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Sarah Burnet (Twitter: limnosarah)",adj=0)
im=load.image("./images/FlatheadLake_PJulian.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("FlatheadRocks"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Paul Julian (Twitter: SwampThingPaul)",adj=0)
im=load.image("./images/ShelburnePond_LBorre.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("ShelburnePond"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Lisa Borre (Twitter: lisa_borre)",adj=0)
im=load.image("./images/wetsoil_RKBhomia.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("WetSoil"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Rupesh K Bhomia (Twitter: RupeshKBhomia)",adj=0)
im=load.image("./images/OrdRiverWA_CFowler.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("OrdRiver"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Courtney Fowler (Twitter: courtzfowler)",adj=0)
im=load.image("./images/WASaltLakes_danmetcalf.jpg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("WASaltLake"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: ABC Midwest and Wheatbelt (Instagram: danmetcalf)",adj=0)
Image shared on ABC Midwest and Wheatbelt Facebook Page
im=load.image("./images/lewis_lakes_AbbyLewis_eutrophicreservoir.jpeg") par(family="serif",mar=c(0,0,0,0)) layout(matrix(1:3,3,1),heights=c(1,1,0.25)) plot(im,ann=F,axes=F) print(limno_palette("EutroRes"),cex=2) plot(0:1,0:1,ann=F,axes=F,type="n") text(0,0.5,"Photo Credit: Abby Lewis (Twitter: lewis_lakes)",adj=0)
set.seed(1) dat = data.frame(Group=c(rep("A",10),rep("B",10),rep("C",10),rep("D",10)), var1=rnorm(40),var2=runif(40,1,15),var3=rpois(40,3)) cols = limno_palette("SuperIce",4) boxplot(var2~Group,dat, col=cols)
cols = limno_palette("IowaSummer",4,"continuous") cols2 = cols[dat$Group] plot(var2~var3,dat,pch=21,bg=cols2,cex=2)
cols = limno_palette("PeriFA",4,"continuous") barplot(aggregate(dat$var3,list(dat$Group),mean)$x,names.arg=unique(dat$Group),ylim=c(0,4),col=cols)
While not a part of this package, for data visualization purposes it would be a good idea to see how these colors are perceived for people with color blindness.
library(colorBlindness) mat = matrix(1:81, nrow = 9, ncol = 9) library(ggplot2) library(reshape2) cols = limno_palette("IowaSummer") mat1 = melt(t(mat[9:1, ])) len = length(cols)-1 mat1$v2 = cut(mat1$value, breaks = seq(0,ceiling(81/len)*len, length.out = len+1)) ht = ggplot(mat1) + geom_tile(aes(x=Var1, y=Var2, fill=v2)) + scale_fill_manual(values=cols) + theme_bw() # check the plot by CVD simulator cvdPlot(ht)
# Second Example cols = limno_palette("Bloom2",10, "continuous") mat1 = melt(t(mat[9:1, ])) len = length(cols)-1 mat1$v2 = cut(mat1$value, breaks = seq(0,ceiling(81/len)*len, length.out = len+1)) ht = ggplot(mat1) + geom_tile(aes(x=Var1, y=Var2, fill=v2)) + scale_fill_manual(values=cols) + theme_bw() # check the plot by CVD simulator cvdPlot(ht)
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