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An Introduction to patternplot Package

Introduction

The patternplot package is a tool for creating aesthetically pleasing and informative pie charts, ring charts, bar charts and box plots in R. It can fill pie charts, ring charts, bar charts and box plots with colors or textures or any external images in png or jpeg formats.

Versatile Pie charts

Pie charts produced by patternpie().

library(patternplot)
library(png)
library(ggplot2)
data <- read.csv(system.file("extdata", "vegetables.csv", package="patternplot"))
#Example 1
pattern.type<-c('hdashes', 'vdashes', 'bricks')
pie1<-patternpie(group=data$group,pct=data$pct,label=data$label, 
                 label.size=4, label.color='black',label.distance=1.3,pattern.type=pattern.type,
           pattern.line.size=c(10, 10, 2), frame.color='black',frame.size=1.5, pixel=12, density=c(8, 8, 10))
pie1<-pie1+ggtitle('(A) Black and White with Patterns')
#Example 2
pattern.color<-c('red3','green3', 'white' )
background.color<-c('dodgerblue', 'lightpink', 'orange')
pie2<-patternpie(group=data$group,pct=data$pct,label=data$label, label.distance=1.3, pattern.type=pattern.type,
           pattern.color=pattern.color,background.color=background.color, 
           pattern.line.size=c(10, 10, 2), frame.color='grey40',frame.size=1.5, pixel=12, density=c(8, 8, 10))
pie2<-pie2+ggtitle('(B) Colors with Patterns')

library(gridExtra)
grid.arrange(pie1,pie2,  nrow = 1)

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Pie chart produced by imagepie().

library(patternplot)
library(ggplot2)
library(jpeg)
Tomatoes <-  readJPEG(system.file("img", "tomatoes.jpg", package="patternplot"))
Peas <- readJPEG(system.file("img", "peas.jpg", package="patternplot"))
Potatoes <-  readJPEG(system.file("img", "potatoes.jpg", package="patternplot"))

#Example 1
data <- read.csv(system.file("extdata", "vegetables.csv", package="patternplot"))
pattern.type<-list(Tomatoes,Peas,Potatoes)
imagepie(group=data$group,pct=data$pct,label=data$label,pattern.type=pattern.type,
         label.distance=1.3,frame.color='burlywood4', frame.size=0.8, label.size=6,
         label.color='forestgreen')+ggtitle('Pie Chart with Images')

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Versatile Ring charts

Ring chart produced by patternring1().

library(patternplot)
library(png)
library(ggplot2)
group1<-c('New_England', 'Great_Lakes','Plains',  'Rocky_Mountain', 'Far_West','Southwest', 'Southeast',  'Mideast')
pct1<-c( 12, 11, 17, 15, 8, 11,  16,  10)
label1<-paste(group1, " \n ", pct1, "%", sep="")

pattern.type1<-c("hdashes", "blank", "grid", "blank", "hlines", "blank", "waves", "blank")
pattern.type.inner<-"blank"
pattern.color1<-rep("white", 8)
background.color1<-c("darkgreen", "darkcyan", "chocolate", "cadetblue1", "darkorchid", "yellowgreen", "hotpink", "lightslateblue")
density1<-rep(11.5, length(group1))
pattern.line.size1=c(10, 1, 6, 1, 10, 1, 6, 1)

g<-patternring1(group1, pct1, label1, label.size1=4,label.color1='black', label.distance1=1.36, pattern.type1, pattern.color1, pattern.line.size1,background.color1, frame.color='black',frame.size=1.2, density1, pixel=13,
                pattern.type.inner="blank",pattern.color.inner="white", pattern.line.size.inner=1,  background.color.inner="white", pixel.inner=10, density.inner=1, r1=2.7, r2=4)
g<-g+annotate(geom="text", x=0, y=0, label="2019 Number of Cases \n N=1000",color="black", size=4)+scale_x_continuous(limits=c(-7, 7))+scale_y_continuous(limits=c(-7, 7))
g

plot of chunk e3

Ring chart produced by imagering1().

#Example 1
library(patternplot)
library(png)
library(ggplot2)
location<-gsub('\\','/',tempdir(), fixed=T)
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="darkgreen", pixel=8, res=8)
FarWest<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="darkcyan", pixel=8, res=8)
GreatLakes<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="chocolate", pixel=8, res=8)
Mideast<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="cadetblue1", pixel=8, res=8)
NewEngland<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="darkorchid", pixel=8, res=8)
Plains<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="yellowgreen", pixel=8, res=8)
RockyMountain<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="hotpink", pixel=8, res=8)
Southeast<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="lightslateblue", pixel=8, res=8)
Southwest <-readPNG(paste(location,'/',"blank",".png", sep=''))


group1<-c('New_England', 'Great_Lakes','Plains',  'Rocky_Mountain', 'Far_West','Southwest', 'Southeast',  'Mideast')
pct1<-c( 12, 11, 17, 15, 8, 11,  16,  10)
label1<-paste(group1, " \n ", pct1, "%", sep="")

pattern.type1<-list(NewEngland, GreatLakes,Plains,  RockyMountain, FarWest,Southwest, Southeast,  Mideast)
pattern.type.inner<-readPNG(system.file("img", "USmap.png", package="patternplot"))

g<-imagering1(group1, pct1,  pattern.type1, pattern.type.inner, frame.color='black',frame.size=1.5, r1=3, r2=4,label1, label.size1=4,label.color1='black', label.distance1=1.3)
g<-g+annotate(geom="text", x=0, y=-2, label="2019 Number of Cases \n N=1000",color="black", size=4)+scale_x_continuous(limits=c(-6, 6))+scale_y_continuous(limits=c(-6, 6))
g

plot of chunk e4

Ring charts produced by patternring2().

library(patternplot)
library(png)
library(ggplot2)

group1<-c("Wind", "Hydro", "Solar", "Coal", "Natural Gas", "Oil")
pct1<-c(12, 15, 8, 22, 18, 25)
label1<-paste(group1, " \n ", pct1 , "%", sep="")

group2<-c("Renewable", "Non-Renewable")
pct2<-c(35, 65)
label2<-paste(group2, " \n ", pct2 , "%", sep="")

pattern.type1<-rep(c( "blank"), times=6)
pattern.type2<-c('grid', 'blank')
pattern.type.inner<-"blank"
pattern.color1<-rep('white', length(group1))
pattern.color2<-rep('white', length(group2))

background.color1<-c("darkolivegreen1", "white", "indianred", "gray81",  "white", "sandybrown" )
background.color2<-c("seagreen", "deepskyblue")

density1<-rep(10, length(group1))
density2<-rep(10, length(group2))

pattern.line.size1=rep(5, length(group1))
pattern.line.size2=rep(2, length(group2))
pattern.line.size.inner=1

#Example 1: Two rings
g<-patternrings2(group1, group2, pct1,pct2, label1, label2, label.size1=3, label.size2=3.5, label.color1='black', label.color2='black', label.distance1=0.75, label.distance2=1.4, pattern.type1, pattern.type2,  pattern.color1,pattern.color2,
pattern.line.size1, pattern.line.size2, background.color1, background.color2,density1=rep(10, length(group1)), density2=rep(15, length(group2)),pixel=10, pattern.type.inner, pattern.color.inner="black",pattern.line.size.inner,  background.color.inner="white",  pixel.inner=6,  density.inner=5, frame.color='black',frame.size=1.5,r1=2.45, r2=4.25, r3=5)
g1<-g+annotate(geom="text", x=0, y=0, label="Earth's Energy",color="black", size=5)+scale_x_continuous(limits=c(-6, 6))+scale_y_continuous(limits=c(-6, 6))+ggtitle("(A) Two Rings")

#Example 2: Pie in a ring
g<-patternrings2(group1, group2, pct1,pct2, label1, label2, label.size1=3, label.size2=3.5, label.color1='black', label.color2='black', label.distance1=0.7, label.distance2=1.4, pattern.type1, pattern.type2,  pattern.color1,pattern.color2,
pattern.line.size1, pattern.line.size2, background.color1, background.color2,density1=rep(10, length(group1)), density2=rep(15, length(group2)),pixel=10, pattern.type.inner, pattern.color.inner="black",pattern.line.size.inner,  background.color.inner="white",  pixel.inner=2,  density.inner=5, frame.color='black',frame.size=1.5, r1=0.005, r2=4, r3=4.75)
g2<-g+scale_x_continuous(limits=c(-6, 6))+scale_y_continuous(limits=c(-6, 6))+ggtitle("(B) Pie in a Ring")


library(gridExtra)
grid.arrange(g1,g2,  nrow = 1)

plot of chunk e5

Ring chart produced by imagering2().

#Example 1
library(patternplot)
library(png)
library(ggplot2)
group1<-c("Wind", "Hydro", "Solar", "Coal", "Natural Gas", "Oil")
pct1<-c(12, 15, 8, 22, 18, 25)
label1<-paste(group1, " \n ", pct1 , "%", sep="")
location<-gsub('\\','/',tempdir(), fixed=T)
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="darkolivegreen1",  pixel=20, res=15)
Wind<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="white", pixel=20, res=15)
Hydro<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="indianred",  pixel=20, res=15)
Solar<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="gray81",  pixel=20, res=15)
Coal<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="white",  pixel=20, res=15)
NaturalGas<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="sandybrown",  pixel=20, res=15)
Oil<-readPNG(paste(location,'/',"blank",".png", sep=''))
pattern.type1<-list(Wind, Hydro, Solar, Coal, NaturalGas, Oil)

group2<-c("Renewable", "Non-Renewable")
pct2<-c(35, 65)
label2<-paste(group2, " \n ", pct2 , "%", sep="")
pattern(type="grid", density=12, color='white', pattern.line.size=5, background.color="seagreen", pixel=20, res=15)
Renewable<-readPNG(paste(location,'/',"grid",".png", sep=''))
pattern(type="blank", density=1, color='white', pattern.line.size=1, background.color="deepskyblue",  pixel=20, res=15)
NonRenewable<-readPNG(paste(location,'/',"blank",".png", sep=''))

pattern.type2<-list(Renewable, NonRenewable)
pattern.type.inner<-readPNG(system.file("img", "earth.png", package="patternplot"))

g<-imagerings2(group1, group2,pct1,pct2, label1, label2, label.size1=3, label.size2=3.5, label.color1='black', label.color2='black', label.distance1=0.7, label.distance2=1.3, pattern.type1, pattern.type2, pattern.type.inner, frame.color='skyblue',frame.size=1.5, r1=2.2, r2=4.2, r3=5)
g<-g+scale_x_continuous(limits=c(-7, 7))+scale_y_continuous(limits=c(-7, 7))
g

plot of chunk e6

Versatile Bar charts

Bar charts produced by patternbar().

#Example 1
library(patternplot)
library(png)
library(ggplot2)
data <- read.csv(system.file("extdata", "monthlyexp.csv", package="patternplot"))
data<-data[which(data$Location=='City 1'),]
x<-factor(data$Type, c('Housing', 'Food',  'Childcare'))
y<-data$Amount
pattern.type<-c('hdashes', 'blank', 'crosshatch')
pattern.color=c('black','black', 'black')
background.color=c('white','white', 'white')
density<-c(20, 20, 10)
barp1<-patternbar(data,x, y,group=NULL,ylab='Monthly Expenses, Dollars', pattern.type=pattern.type, hjust=0.5,
           pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(5.5, 1, 4),
           frame.color=c('black', 'black', 'black'), density=density)+scale_y_continuous(limits = c(0, 2800))+ggtitle('(A) Black and White with Patterns')

#Example 2
pattern.color=c('black','white', 'grey20')
background.color=c('lightgreen','lightgreen', 'lightgreen')
barp2<-patternbar(data,x, y,group=NULL,ylab='Monthly Expenses, Dollars', pattern.type=pattern.type,hjust=0.5,
           pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(5.5, 1, 4),
           frame.color=c('black', 'black', 'black'), density=density)+scale_y_continuous(limits = c(0, 2800))+ggtitle('(B) Colors with Patterns')

library(gridExtra)
grid.arrange(barp1,barp2,  nrow = 1)

plot of chunk e7

#Example 3
data <- read.csv(system.file("extdata", "monthlyexp.csv", package="patternplot"))
group<-factor(data$Type, c('Housing', 'Food',  'Childcare'))
y<-data$Amount
x<-factor(data$Location, c('City 1', ' City 1'))
pattern.type<-c( 'Rsymbol_16', 'blank','hdashes')
pattern.color=c('yellow', 'chartreuse4',  'pink')
background.color=c('grey', 'chartreuse3',  'bisque')
barp3<-patternbar(data,x, y,group,ylab='Monthly Expenses, Dollars', pattern.type=pattern.type, 
                  pattern.color=pattern.color,background.color=background.color, pattern.line.size=c(6, 10,6),
                  frame.size=1,frame.color='black',pixel=16, density=c(18, 10, 14), legend.type='h', 
                  legend.h=12, legend.y.pos=0.49, vjust=-1, hjust=0.5,legend.pixel=6, legend.w=0.275,legend.x.pos=1.1) +scale_y_continuous(limits = c(0, 3100))+ggtitle('(C) Bar Chart with Two Grouping Variables')
barp3

plot of chunk e7

Stacked Bar chart produced by patternbar_s().

#Example 1
library(patternplot)
library(png)
library(ggplot2)
data <- read.csv(system.file("extdata", "monthlyexp.csv", package="patternplot"))
x<-data$Location
y<-data$Amount
group<-data$Type

patternbar_s(data,x, y, group,xlab='', ylab='Monthly Expenses, Dollar', label.size=3,pattern.type=c( 'Rsymbol_16', 'blank','hdashes'), pattern.line.size=c(5, 10, 10),frame.size=1,pattern.color=c('yellow', 'chartreuse4',  'pink'),background.color=c('grey', 'chartreuse3',  'bisque'), pixel=16, density=c(18, 10, 10),frame.color='black', legend.type='h', legend.h=12, legend.y.pos=0.49, legend.pixel=6, legend.w=0.275, legend.x.pos=1.05,legend.label=c("Childcare", "Food", "Housing" ),  bar.width=0.8)+scale_y_continuous(limits = c(0, 6800))+ggtitle('Stacked Bar Chart')

plot of chunk e8

Bar charts produced by imagebar().

library(patternplot)
library(jpeg)
library(ggplot2)

childcare<-readJPEG(system.file("img", "childcare.jpg", package="patternplot"))
food<-readJPEG(system.file("img", "food.jpg", package="patternplot"))
housing <-readJPEG(system.file("img", "housing.jpg", package="patternplot"))

#Example 1
data <- read.csv(system.file("extdata", "monthlyexp.csv", package="patternplot"))
data<-data[which(data$Location=='City 1'),]
x<-factor(data$Type, c('Housing', 'Food',  'Childcare'))
y<-data$Amount
pattern.type<-list(housing, food, childcare)
imagebar(data,x, y,group=NULL,pattern.type=pattern.type,vjust=-1, hjust=0.5,
         frame.color='black',
         ylab='Monthly Expenses, Dollars')+ggtitle('(A) Bar Chart with Images')

plot of chunk e9

#Example 2
data <- read.csv(system.file("extdata", "monthlyexp.csv", package="patternplot"))
group<-factor(data$Type, c('Housing', 'Food',  'Childcare'))
y<-data$Amount
x<-factor(data$Location, c('City 1', ' City 1'))
pattern.type<-list(housing, food, childcare)
imagebar(data,x, y,group,pattern.type=pattern.type,vjust=-1, hjust=0.5,
         frame.color='black',
         ylab='Monthly Expenses, Dollars')+ggtitle('(B) Image Bar Chart with Two Grouping Variables')

plot of chunk e9

Stacked Bar chart produced by imagebar_s().

library(patternplot)
library(jpeg)
library(ggplot2)

childcare<-readJPEG(system.file("img", "childcare.jpg", package="patternplot"))
food<-readJPEG(system.file("img", "food.jpg", package="patternplot"))
housing <-readJPEG(system.file("img", "housing.jpg", package="patternplot"))

data <- read.csv(system.file("extdata", "monthlyexp.csv", package="patternplot"))
x<-data$Location
y<-data$Amount
group<-data$Type
pattern.type<-list(childcare, food, housing)

imagebar_s(data,x, y, group, xlab='', ylab='Monthly Expenses, Dollar',  pattern.type=pattern.type, label.size=3.5, frame.size=1.25, frame.color='black',legend.type='h', legend.h=6, legend.y.pos=0.49, legend.pixel=20, legend.w=0.2,legend.x.pos=1.1, legend.label=c("Childcare", "Food", "Housing" ))+ scale_y_continuous(limits = c(0, 6800))+ggtitle('Stacked Bar Chart with Images')

plot of chunk e10

Versatile Box plots

Box plots produced by patternboxplot().

#Example 1
data <- read.csv(system.file("extdata", "fruits.csv", package="patternplot"))
group<-data$Fruit
y<-data$Weight
x<-data$Store

pattern.type<-c('nwlines', 'blank', 'waves')
pattern.color=c('black','black', 'black')
background.color=c('white','gray80', 'white')
frame.color=c('black', 'black', 'black')
pattern.line.size<-c(6, 1,6)
density<-c(6, 1, 8)
box1<-patternboxplot(data,x, y,group,pattern.type=pattern.type,pattern.line.size=pattern.line.size, label.size=3, pattern.color=pattern.color, background.color=background.color,frame.color=frame.color, 
density=density,  legend.h=2, legend.x.pos=1.075, legend.y.pos=0.499, legend.pixel=10,legend.w=0.18, legend.label=c("Orange","Strawberry","Watermelon"))+ggtitle('(A) Boxplot with Black and White Patterns')

#Example 2
pattern.color=c('black','white', 'grey20')
background.color=c('gold','lightpink', 'lightgreen')
box2<-patternboxplot(data,x, y,group=group,pattern.type=pattern.type,pattern.line.size=pattern.line.size, label.size=3,pattern.color=pattern.color, background.color=background.color,frame.color=frame.color, density=density,legend.h=2, legend.x.pos=1.075, legend.y.pos=0.499, legend.pixel=10,legend.w=0.18, legend.label=c("Orange","Strawberry","Watermelon"))+ggtitle('(B) Boxplot with Colors and Patterns')

library(gridExtra)
grid.arrange(box1,box2,  nrow = 1)

plot of chunk e11

Box plots produced by imageboxplot().

library(patternplot)
library(jpeg)
library(ggplot2)

Orange<-readJPEG(system.file("img", "oranges.jpg", package="patternplot"))
Strawberry <-readJPEG(system.file("img", "strawberries.jpg", package="patternplot"))
Watermelon<-readJPEG(system.file("img", "watermelons.jpg", package="patternplot"))

#Example 1
data <- read.csv(system.file("extdata", "fruits.csv", package="patternplot"))
x<-data$Fruit
y<-data$Weight
group<-data$Store
pattern.type<-list(Orange, Strawberry, Watermelon)
box1<-imageboxplot(data,x, y,group=NULL,pattern.type=pattern.type,frame.color=c('orange','darkred',
'darkgreen'),legend.label="", ylab='Weight, Pounds')+ggtitle('(A) Image Boxplot with One Grouping Variable')

#Example 2
x<-data$Store
y<-data$Weight
group<-data$Fruit
pattern.type<-list(Orange, Strawberry, Watermelon)
box2<-imageboxplot(data,x, y,group=group, pattern.type=pattern.type, frame.color=c('orange', 'darkred', 'darkgreen'), linetype=c('solid', 'dashed', 'dotted'),frame.size=0.8, xlab='', ylab='Weights, pounds', legend.h=2, legend.x.pos=1.1, legend.y.pos=0.499, legend.w=0.2, legend.label=c("Orange", "Strawberry", "Watermelon"))+ggtitle('(B) Image Boxplot with Two Grouping Variables')

library(gridExtra)
grid.arrange(box1,box2,  nrow = 1)

plot of chunk e12

Integration of patternplot and ggplot2 and Other Features

Change the order of x and y axes.

library(patternplot)
library(png)
library(ggplot2)
data <- read.csv(system.file("extdata", "monthlyexp.csv", package="patternplot"))
data<-data[which(data$Location=='City 1'),]
x<-factor(data$Type, c('Housing', 'Food',  'Childcare'))
y<-data$Amount
pattern.type<-c('hdashes', 'blank', 'crosshatch')
pattern.color=c('black','black', 'black')
background.color=c('white','white', 'white')
density<-c(20, 20, 10)

g1<-patternbar(data,x, y,group=NULL,ylab='Monthly Expenses, Dollars', pattern.type=pattern.type,pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(5.5, 1, 4),frame.color=c('black', 'black', 'black'), density=density, vjust=-1, hjust=0.5, bar.width=0.75)+scale_y_continuous(limits = c(0, 2800))+ggtitle('(A) Vertical Bar Chart')

g2<-patternbar(data,x, y,group=NULL,ylab='Monthly Expenses, Dollars', pattern.type=pattern.type,pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(5.5, 1, 4),frame.color=c('black', 'black', 'black'), density=density, vjust=0.5, hjust=-0.25, bar.width=0.5)+scale_y_continuous(limits = c(0,2800))+ggtitle('(B) Horizontal Bar Chart')+coord_flip()

g3<-patternbar(data,x, y,group=NULL,ylab='Monthly Expenses, Dollars', pattern.type=pattern.type,pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(5.5, 1, 4),frame.color=c('black', 'black', 'black'), density=density, vjust=2, hjust=0.5, bar.width=0.75)+ggtitle('(C) Reverse Bar Chart')+ scale_y_reverse(limits = c(2800,0))

library(gridExtra)
grid.arrange(g1,g2,g3,  nrow = 1)

plot of chunk e13

Change themes.

library(patternplot)
library(png)
library(ggplot2)
data <- read.csv(system.file("extdata", "monthlyexp.csv", package="patternplot"))
data<-data[which(data$Location=='City 1'),]
x<-factor(data$Type, c('Housing', 'Food',  'Childcare'))
y<-data$Amount
pattern.type<-c('hdashes', 'blank', 'crosshatch')
pattern.color=c('black','black', 'black')
background.color=c('white','white', 'white')
density<-c(20, 20, 10)

g1<-patternbar(data,x, y,group=NULL,ylab='Monthly Expenses, Dollars', pattern.type=pattern.type,pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(5.5, 1, 4),frame.color=c('black', 'black', 'black'), density=density, vjust=-1, hjust=0.5)+scale_y_continuous(limits = c(0, 2800))+ggtitle('(A) Bar Chart with Default Theme')

g2<-patternbar(data,x, y,group=NULL,ylab='Monthly Expenses, Dollars', pattern.type=pattern.type,pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(5.5, 1, 4),frame.color=c('black', 'black', 'black'), density=density, vjust=-1, hjust=0.5)+scale_y_continuous(limits = c(0, 2800))+ggtitle('(B) Bar Chart with Classic Theme')+ theme_classic()

library(gridExtra)
grid.arrange(g1,g2,  nrow = 1)

plot of chunk e14

Unicode symbols as pattern.

library(patternplot)
library(png)
library(ggplot2)
#http://www.alanwood.net/demos/wgl4.html
data <- data.frame(Type=c('Sunny', 'Cloudy', 'Rainy', 'Snowy'), Amount=c(5, 2, 3, 4))
x<-factor(data$Type, c('Sunny', 'Cloudy', 'Rainy', 'Snowy'))
y<-data$Amount
pattern.type<-c('Unicode_\u2600', 'Unicode_\u2601', 'Unicode_\u2602', 'Unicode_\u2603')
pattern.color<-c('yellow','white','red', 'white')
background.color=c('deepskyblue','deepskyblue','deepskyblue',  'deepskyblue')
density<-c(16, 20, 16, 16)
g1<-patternbar(data,x, y,group=NULL,ylab='Number of Days', pattern.type=pattern.type,pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(10, 7, 10, 10), density=density, vjust=-1, hjust=0.5, bar.width =0.5)+scale_y_continuous(limits = c(0, 6))+ggtitle('(A) Bar Chart with Weather Symbols')

data <- data.frame(Type=c('Female', 'Male'), Amount=c(50, 40))
x<-data$Type
y<-data$Amount
pattern.type<-c('Unicode_\u2640', 'Unicode_\u2642')
pattern.color<-c('violet','deepskyblue')
background.color=c('seashell','seashell')
density<-c(10, 10)
g2<-patternbar(data,x, y,group=NULL,ylab='Number of People', pattern.type=pattern.type,pattern.color=pattern.color, background.color=background.color,pattern.line.size=c(14, 14), density=density, pixel=18, vjust=-1, hjust=0.5, bar.width =0.5)+scale_y_continuous(limits = c(0, 60))+ggtitle('(B) Bar Chart with Gender Symbols')


library(gridExtra)
grid.arrange(g1,g2,  nrow = 1)

plot of chunk e15

h

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