The document summarizes an R study meeting. It introduces plotting in base R and ggplot2, including examples using the iris dataset. It then discusses shiny for building interactive web apps in R. Examples show building user interfaces and servers, and rendering plots based on user input. The meeting aims to continue studying R through discussing big data visualization, graph visualization, and geographic data visualization using specific R packages.

1. 第四回Ｒ勉強会
Ｒで作った感動したグラフを紹介

2. 1. plot
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1 5.1 3.5 1.4 0.2 "setosa"
2 4.9 3 1.4 0.2 "setosa"
3 4.7 3.2 1.3 0.2 "setosa"
4 4.6 3.1 1.5 0.2 "setosa"
5 5 3.6 1.4 0.2 "setosa"
6 5.4 3.9 1.7 0.4 "setosa"
7 4.6 3.4 1.4 0.3 "setosa"
8 5 3.4 1.5 0.2 "setosa"
9 4.4 2.9 1.4 0.2 "setosa"
10 4.9 3.1 1.5 0.1 "setosa"

3. 1. plot
plot(x,y, ...)
> plot(iris[,"Sepal.Length"],iris[,"Petal.Length"])

4. 1. plot
plot(iris[,"Sepal.Length"],iris[,"Petal.Length"],
xlab = "Sepal Length", ylab = "Petal Length",
main = "Iris data: Sepal vs. Petal Length")

5. 1. plot
plot(iris[,"Sepal.Length"],iris[,"Petal.Length"],
xlab = "Sepal Length", ylab = "Petal Length",
main = "Iris data: Sepal vs. Petal Length",
col=c("orange3","seagreen4"))

6. 1. plot
plot(iris[,"Sepal.Length"],iris[,"Petal.Length"],
xlab = "Sepal Length", ylab = "Petal Length",
main = "Iris data: Sepal vs. Petal Length",
col=c("orange3","seagreen4"))
par(bty="l",las=1,bg="antiquewhite1")

7. 1. plot
plot(iris[,"Sepal.Length"],iris[,"Petal.Length"],
xlab = "Sepal Length", ylab = "Petal Length",
main = "Iris data: Sepal vs. Petal Length",
col=c("orange3","seagreen4"))
legend("bottomright",legend=c("Sepal Length","Petal Length"),
fill=c("orange3","seagreen4"),ncol=1,title="Iris data legend")

8. ●
ggplot2でデータフレームは中心になりました
● 色と大きさと形でデータの属性を表せる
●
ggplot2のグラフは三つのレイヤーで作れる：
– Data layer (データフレーム)
– Graphics layers (点や線など )
– Statistic layers
●
qplotとggplotの関数でグラフを作ります
2. ggplot2

9. 2. ggplot2
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1 5.1 3.5 1.4 0.2 "setosa"
2 4.9 3 1.4 0.2 "setosa"
3 4.7 3.2 1.3 0.2 "setosa"
4 4.6 3.1 1.5 0.2 "setosa"
5 5 3.6 1.4 0.2 "setosa"
6 5.4 3.9 1.7 0.4 "setosa"
7 4.6 3.4 1.4 0.3 "setosa"
8 5 3.4 1.5 0.2 "setosa"
9 4.4 2.9 1.4 0.2 "setosa"
10 4.9 3.1 1.5 0.1 "setosa"

10. 2. ggplot2
● qplot(Sepal.Length,Petal.Length,data=iris)
● qplot(Sepal.Length,Petal.Length,data=iris,color=Species)
● qplot(Sepal.Length,Petal.Length,data=iris,color=Species,size=Petal.Width)
● qplot(Sepal.Length,Petal.Length,data=iris,color=Species,size=Petal.Width,alpha=I(0.7))

11. 2. ggplot2
● qplot(Sepal.Length,Petal.Length,data=iris,color=Species)+geom_rug()
● qplot(Sepal.Length,Petal.Length,data=iris,color=Species)+geom_line()
● qplot(Sepal.Length,Petal.Length,data=iris,color=Species)+stat_smooth()

12. 2. ggplot2
labels vals
79 rnorm(mean=0,sd=0) 0.7996605
396 rexp(rate=0.3) 9.3830294
240 rnorm(mean=1,sd=0.5) 0.9357393
194 rnorm(mean=-3,sd=3) 1.1291675
200 rnorm(mean=-3,sd=3) 6.1559452
245 rnorm(mean=1,sd=0.5) 1.0050954
…....
> head(xy)
> qplot(vals,data=xy,col=labels,fill=labels,alpha=I(.3),size=I(.8),geom="density")

13. 3. shiny
●
Node.jsを使って統計的なア
プリをWEBにアップことが
できる
● 対話的なデータアプリを目
指す
●
サーバとUIはずっとR言語
で作れる

14. 3. shiny
shinyUI(pageWithSidebar(
headerPanel(),
sidebarPanel(),
mainPanel()
))
headerPanel
sidebarPanel
mainPanel

15. 3. shiny
shinyUI(pageWithSidebar(
headerPanel("Benkyokai app"),
...
))
Benkyoukai app

16. 3. shiny
shinyUI(pageWithSidebar(
...
sidebarPanel(
numericInput(inputId = "n_points",label = "Number points randomized",value=100),
...),
numericInput

17. 3. shiny
shinyUI(pageWithSidebar(
...
sidebarPanel(
numericInput(inputId = "n_points",label = "Number points randomized",value=100),
checkboxInput(inputId = "dnorm",
label = "Show normal distribution graph",
value = TRUE),
...),
numericInput
checkboxInput

18. 3. shiny
shinyUI(pageWithSidebar(
...
sidebarPanel(
numericInput(inputId = "n_points",label = "Number points randomized",value=100),
checkboxInput(inputId = "dnorm",
label = "Show normal distribution graph",
value = TRUE),
conditionalPanel(condition = "input.dnorm == true",
numericInput(inputId = "norm_mean",label = "Mean",value=0),
numericInput(inputId = "norm_std_dev",label = "Standard deviation",value=1)),
...),
numericInput
checkboxInput
conditionalPanel
numericInput
numericInput

19. 3. shiny
shinyUI(pageWithSidebar(
...
),
mainPanel(plotOutput(outputId = "main_plot",width="750px", height = "500px"))
...
))
mainPanel
PlotOutput

20. 3. shiny

21. 3. shiny
shinyServer(function(input, output) {
output$main_plot <- renderPlot({
plot.new()
plot.window(c(-3,3),c(0,1),main="fds")
axis(2,at=seq(0,1,by=0.2))
axis(1,at=seq(-5,5,by=0.5))
if(input$dnorm){
lines(density(rnorm(input$n_points,input$norm_mean,input$norm_std_dev)),
col="blue")
}
if(input$dexp){
lines(density(rexp(input$n_points,input$exp_rate)),col="green")
}
if(input$dgamma){
lines(density(rgamma(input$n_points,input$gamma_shape)),col="red")
}
})
})

22. 3. shiny

23. 4. 続き
ビッグデータを表
す:
グラフを表
す:
地理的なデー
タ：
qgraphパッケー
ジ
bigvisパッケージ
ggmapパッケー
ジ

24. 一緒にR言語を勉強しましょう！