# ----------------------------------------------------#
# R in Action (2nd ed): Chapter 3 #
# Getting started with graphs #
# requires that the Hmisc and RColorBrewer packages #
# have been installed #
# install.packages(c("Hmisc", "RColorBrewer")) #
#-----------------------------------------------------# par(ask=TRUE)
opar <- par(no.readonly=TRUE) # make a copy of current settings attach(mtcars) # be sure to execute this line plot(wt, mpg)
abline(lm(mpg~wt))
title("Regression of MPG on Weight")
# Input data for drug example
dose <- c(20, 30, 40, 45, 60)
drugA <- c(16, 20, 27, 40, 60)
drugB <- c(15, 18, 25, 31, 40) plot(dose, drugA, type="b") opar <- par(no.readonly=TRUE) # make a copy of current settings
par(lty=2, pch=17) # change line type and symbol
plot(dose, drugA, type="b") # generate a plot
par(opar) # restore the original settings plot(dose, drugA, type="b", lty=3, lwd=3, pch=15, cex=2) # choosing colors
library(RColorBrewer)
n <- 7
mycolors <- brewer.pal(n, "Set1")
barplot(rep(1,n), col=mycolors) n <- 10
mycolors <- rainbow(n)
pie(rep(1, n), labels=mycolors, col=mycolors)
mygrays <- gray(0:n/n)
pie(rep(1, n), labels=mygrays, col=mygrays) # Listing 3.1 - Using graphical parameters to control graph appearance
dose <- c(20, 30, 40, 45, 60)
drugA <- c(16, 20, 27, 40, 60)
drugB <- c(15, 18, 25, 31, 40)
opar <- par(no.readonly=TRUE)
par(pin=c(2, 3))
par(lwd=2, cex=1.5)
par(cex.axis=.75, font.axis=3)
plot(dose, drugA, type="b", pch=19, lty=2, col="red")
plot(dose, drugB, type="b", pch=23, lty=6, col="blue", bg="green")
par(opar) # Adding text, lines, and symbols
plot(dose, drugA, type="b",
col="red", lty=2, pch=2, lwd=2,
main="Clinical Trials for Drug A",
sub="This is hypothetical data",
xlab="Dosage", ylab="Drug Response",
xlim=c(0, 60), ylim=c(0, 70)) # Listing 3.2 - An Example of Custom Axes
x <- c(1:10)
y <- x
z <- 10/x
opar <- par(no.readonly=TRUE)
par(mar=c(5, 4, 4, 8) + 0.1)
plot(x, y, type="b",
pch=21, col="red",
yaxt="n", lty=3, ann=FALSE)
lines(x, z, type="b", pch=22, col="blue", lty=2)
axis(2, at=x, labels=x, col.axis="red", las=2)
axis(4, at=z, labels=round(z, digits=2),
col.axis="blue", las=2, cex.axis=0.7, tck=-.01)
mtext("y=1/x", side=4, line=3, cex.lab=1, las=2, col="blue")
title("An Example of Creative Axes",
xlab="X values",
ylab="Y=X")
par(opar) # Listing 3.3 - Comparing Drug A and Drug B response by dose
dose <- c(20, 30, 40, 45, 60)
drugA <- c(16, 20, 27, 40, 60)
drugB <- c(15, 18, 25, 31, 40)
opar <- par(no.readonly=TRUE)
par(lwd=2, cex=1.5, font.lab=2)
plot(dose, drugA, type="b",
pch=15, lty=1, col="red", ylim=c(0, 60),
main="Drug A vs. Drug B",
xlab="Drug Dosage", ylab="Drug Response")
lines(dose, drugB, type="b",
pch=17, lty=2, col="blue")
abline(h=c(30), lwd=1.5, lty=2, col="gray")
library(Hmisc)
minor.tick(nx=3, ny=3, tick.ratio=0.5)
legend("topleft", inset=.05, title="Drug Type", c("A","B"),
lty=c(1, 2), pch=c(15, 17), col=c("red", "blue"))
par(opar) # Example of labeling points
attach(mtcars)
plot(wt, mpg,
main="Mileage vs. Car Weight",
xlab="Weight", ylab="Mileage",
pch=18, col="blue")
text(wt, mpg,
row.names(mtcars),
cex=0.6, pos=4, col="red")
detach(mtcars) # View font families
opar <- par(no.readonly=TRUE)
par(cex=1.5)
plot(1:7,1:7,type="n")
text(3,3,"Example of default text")
text(4,4,family="mono","Example of mono-spaced text")
text(5,5,family="serif","Example of serif text")
par(opar) # Combining graphs
attach(mtcars)
opar <- par(no.readonly=TRUE)
par(mfrow=c(2,2))
plot(wt,mpg, main="Scatterplot of wt vs. mpg")
plot(wt,disp, main="Scatterplot of wt vs. disp")
hist(wt, main="Histogram of wt")
boxplot(wt, main="Boxplot of wt")
par(opar)
detach(mtcars) attach(mtcars)
opar <- par(no.readonly=TRUE)
par(mfrow=c(3,1))
hist(wt)
hist(mpg)
hist(disp)
par(opar)
detach(mtcars) attach(mtcars)
layout(matrix(c(1,1,2,3), 2, 2, byrow = TRUE))
hist(wt)
hist(mpg)
hist(disp)
detach(mtcars) attach(mtcars)
layout(matrix(c(1, 1, 2, 3), 2, 2, byrow = TRUE),
widths=c(3, 1), heights=c(1, 2))
hist(wt)
hist(mpg)
hist(disp)
detach(mtcars) # Listing 3.4 - Fine placement of figures in a graph
opar <- par(no.readonly=TRUE)
par(fig=c(0, 0.8, 0, 0.8))
plot(mtcars$mpg, mtcars$wt,
xlab="Miles Per Gallon",
ylab="Car Weight")
par(fig=c(0, 0.8, 0.55, 1), new=TRUE)
boxplot(mtcars$mpg, horizontal=TRUE, axes=FALSE)
par(fig=c(0.65, 1, 0, 0.8), new=TRUE)
boxplot(mtcars$wt, axes=FALSE)
mtext("Enhanced Scatterplot", side=3, outer=TRUE, line=-3)
par(opar)

吴裕雄--天生自然 R语言开发学习:图形初阶(续一)的更多相关文章

  1. 吴裕雄--天生自然 R语言开发学习:聚类分析(续一)

    #-------------------------------------------------------# # R in Action (2nd ed): Chapter 16 # # Clu ...

  2. 吴裕雄--天生自然 R语言开发学习:时间序列(续三)

    #-----------------------------------------# # R in Action (2nd ed): Chapter 15 # # Time series # # r ...

  3. 吴裕雄--天生自然 R语言开发学习:时间序列(续二)

    #-----------------------------------------# # R in Action (2nd ed): Chapter 15 # # Time series # # r ...

  4. 吴裕雄--天生自然 R语言开发学习:时间序列(续一)

    #-----------------------------------------# # R in Action (2nd ed): Chapter 15 # # Time series # # r ...

  5. 吴裕雄--天生自然 R语言开发学习:方差分析(续二)

    #-------------------------------------------------------------------# # R in Action (2nd ed): Chapte ...

  6. 吴裕雄--天生自然 R语言开发学习:方差分析(续一)

    #-------------------------------------------------------------------# # R in Action (2nd ed): Chapte ...

  7. 吴裕雄--天生自然 R语言开发学习:回归(续四)

    #------------------------------------------------------------# # R in Action (2nd ed): Chapter 8 # # ...

  8. 吴裕雄--天生自然 R语言开发学习:回归(续三)

    #------------------------------------------------------------# # R in Action (2nd ed): Chapter 8 # # ...

  9. 吴裕雄--天生自然 R语言开发学习:回归(续二)

    #------------------------------------------------------------# # R in Action (2nd ed): Chapter 8 # # ...

  10. 吴裕雄--天生自然 R语言开发学习:回归(续一)

    #------------------------------------------------------------# # R in Action (2nd ed): Chapter 8 # # ...

随机推荐

  1. 深入分析Java反射(七)-简述反射调用的底层实现

    前提 Java反射的API在JavaSE1.7的时候已经基本完善,但是本文编写的时候使用的是Oracle JDK11,因为JDK11对于sun包下的源码也上传了,可以直接通过IDE查看对应的源码和进行 ...

  2. 备战秋招——C++知识点

    1.字符串的末尾'\0'也算一个字符,一个字节. 2.使用库函数strcpy(a,b)进行拷贝b->a操作,strcpy会从源地址一直往后拷贝,直到遇到'\0'为止.所以拷贝的长度是不定的.如果 ...

  3. uni-app: 如何实现增量更新功能?

    都知道,很多APP都有增量更新功能,Uni APP也是在今年初,推出了增量更新功能,今天我们就来学习一波. 当然,很多应用市场为了防止开发者不经市场审核许可,给用户提供违法内容,对增量更新大多持排斥态 ...

  4. 干货 | CDN搭配OSS最佳实践 ——搭建动静态分离的应用架构

    一.传统架构及痛点 传统的网站产品应用架构,所有资源部署在应用服务器本地存储或挂载的数据存储区,对于动静态资源不作分离, 产品架构如下图所示: 该架构存在诸多问题: ● 系统性能会随着系统访问量的增长 ...

  5. c#之初识结构(Struct)

    C# 结构(Struct) 首先结构是值类型数据结构.它使得一个单一变量可以存储各种数据类型的相关数据.struct 关键字用于创建结构.通俗说:结构就是一个可以包含不同数据类型的集合.它是一种可以自 ...

  6. error: snap "electronic-wechat" has "install-snap" change in progress

    今天因为要使用 wechat ,但是因为 wechat 并没有官方的 Ubuntu 版本,幸好有大神出了 electronic-wechat ,可以直接在应用商店中搜到,然后直接安装,也可以命令行安装 ...

  7. AtCoder - 4371 Align(分类讨论)

    Align AtCoder - 4371 Problem Statement You are given N integers; the i-th of them is Ai. Find the ma ...

  8. python函数中的参数(关键字参数,默认参数,位置参数,不定长参数)

    默认参数:定义函数的时候给定变量一个默认值. def num(age=1): 位置参数:调用函数的时候根据定义函数时的形参位置和实参位置进行引用. 关键字参数:如果定义的函数中含有关键字参数,调用函数 ...

  9. mysql 创建帐号出现 Access denied for user 'root'@'localhost'错误(转载)

    从供应商那边接手一个MySQL数据库(数据库版本为5.7.21 MySQL Community Server (GPL)),在创建账号时遇到了“ERROR 1044 (42000): Access d ...

  10. Xpath编码问题解决

    使用Xpath获取属性时,出现乱码问题,解决办法找了好多,终于解决,特将办法贴在这,供大家尝试 不要直接简单的将爬取的网页设置为utf-8, 先通过print(r.encoding)输出看看爬取的是什 ...