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beautiful-visualization-with-r's Introduction

English README

《R语言数据可视化之美》配套代码

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本书主要介绍使用R中的ggplot2包及其拓展包绘制专业图表的方法。本书先介绍了R语言编程基础知识,以及使用dplyr、tidyr、reshape2等包的数据操作方法;再对比了base、lattice和ggplot2包的图形语法。本书首次系统性地介绍了使用ggplot2包及其拓展包绘制类别对比型、数据关系型、时间序列型、整体局部型等常见的二维图表的方法,以及使用plot3D包绘制三维图表(包括三维散点图、柱形图和曲面图等)的方法。另外,本书也首次介绍了论文中学术图表的图表配色、规范格式等相关技能与知识。

本书所用R版本为:3.3.3。R作为开源免费的软件,数据分析与可视化的包更新迭代很快,这是它的优势。但是有时候有些代码运行可能会由于R或者R包版本的更新,而出现函数弃用(deprecated)的情况。此时,需要自己更新代码,使用新的函数替代原有的函数等。注意:由于代码文件众多,如有代码错误或者缺失等诸多问题,请及时联系EasyShu团队的微信:EasyCharts 处理!


如有问题,可以联系EasyShu团队的微信:EasyCharts

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引用

如果这本书对你的科研图表绘制有用,也可引用该书:

@book{Zhang2019r,
  title={Beautiful Data Visualization of {R}- How to Make Professional Charts},
  author={Zhang, Jie},
  isbn={9787121374432},
  url={https://books.google.com.hk/books?id=aDxYzQEACAAJ},
  year={2019},
  publisher={Publishing House of Electronic Industry}
}

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beautiful-visualization-with-r's Issues

3.6玫瑰图绘制的R代码会报错,请问怎么解决呢

mydata <- data.frame( a=c("Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"),
b=c(50, 60, 70, 20,90,110,30))
myAngle <-seq(-20,-340,length.out =7)
ggplot(mydata) +
geom_bar(aes(x=a, y=b),width = 1,stat="identity",
colour = "black",fill="#F8766D") +
geom_text(aes(x=a,y = b-8,label = b),color="white") +
coord_polar(theta = "x",start=0) +
ylim(c(0,120))+
theme_light()+
theme( panel.background = element_blank(),
panel.grid.major = element_line(colour = "grey80",size=.25),
axis.text.y = element_text(size = 12,colour="black"),
axis.line.y = element_line(size=0.25),
axis.text.x=element_text(size = 13,colour="black",angle = myAngle))

Error in if (0 <= angle & angle < 90) { : the condition has length > 1
In addition: The warning message:
Vectorized input to element_text() is not officially supported.
ℹ Results may be unexpected or may change in future versions of ggplot2.

部分.shp文件无法打开

dataProjected <- readOGR("China_adm_shp/bou2_4m/bou2_4p.shp")
错误代码如下:
Error in ogrListLayers(dsn = dsn) : Cannot open data source

关于图5-2-3代码中的报错

我在学习过程中遇到以下问题,希望能够得到帮助,谢谢。
当运行下面代码时

# Johnson分布的偏斜度2.2和峰度13
s <- rJohnson(100, findParams(3, 1, 2., 13.1))
# Johnson分布的偏斜度0和峰度20)
k <- rJohnson(100, findParams(3, 1, 2.2, 20))

出现了如下的报错

Error in .C("JohnsonMomentFitR", as.double(mu), as.double(sigma), as.double(skew),  : 
  程序包"SuppDists"里"JohnsonMomentFitR"不适用于.C()

图3-9-3 单篇文章的词云图.R有问题

commonality.cloud
P9@9YTOK3$8GXZ` H%C8T70
library(tm)
library(wordcloud)

Paper1<-paste(scan("Paper1.txt", what = character(0),sep =""),collapse = " ") #读入 TXT 文档 1
Paper2<-paste(scan("Paper2.txt", what = character(0),sep =""),collapse = " ") #读入 TXT 文档 2
tmpText<- data.frame(c(Paper1,Paper2),row.names=c("Text1","Text2"))
df_title <- data.frame(doc_id=row.names(tmpText),text=tmpText$c.Paper1..Paper2.)
ds <- DataframeSource(df_title)
#创建一个数据框格式的数据源,首列是文档 id(doc_id),第二列是文档内容
corp = VCorpus(ds)
#加载文档集中的文本并生成语料库文件
corp = tm_map(corp,removePunctuation) #清除语料库内的标点符号
corp = tm_map(corp,PlainTextDocument) #转换为纯文本
corp = tm_map(corp,removeNumbers) #清除数字符号
corp = tm_map(corp,function(x){removeWords(x,stopwords())}) #过滤停止词库
term.matrix <- TermDocumentMatrix(corp)
#利用 TermDocumentMatrix()函数将处理后的语料库进行断字处理,生成词频权重矩阵
term.matrix <- as.matrix(term.matrix) #频率
colnames(term.matrix) <- c("Paper1","paper2")
#comparison.cloud(term.matrix,max.words=300,random.order=FALSE,colors=c("#00B2FF", "red"))
#图 3-9-4(a)
commonality.cloud(term.matrix,max.words=100,random.order=FALSE,color="#E7298A")
#图 3-9-4(b)
df<-data.frame(term.matrix)
#wordcloud(row.names(df) , df$Paper1 ,min.freq=10,col=brewer.pal(8,"Dark2"),rot.per=0.3 )
#图 3-9-3(a)
#wordcloud(row.names(df) , df$Paper2 , min.freq=10,col=brewer.pal(8,"Dark2"),rot.per=0.3 )
#图 3-9-3(b

错误是:> commonality.cloud(term.matrix,max.words=100,random.order=FALSE,color="#E7298A")
Error in is_overlap(x1, y1, sw1, sh1, boxes) :
程序包'Rcpp_precious_remove'不提供'Rcpp'这样的函数

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