制成表格 > counts <- table(Arthritis$Improved) #绘制条形图,定义了横纵坐标轴名,标题,以及颜色 barplot(counts,main="Simple Bar Plot",xlab="Improvement",ylab="Frequency",col=c("lightseagreen", "lightcoral",
table('myData/GDP_germany_quarter-1',sep='\t',header = TRUE, encoding="latin1") gdp<-subset(gdp,gdp$year > 2007) x<-ts(rev(gdp$jeworiginal),start=2008,frequency=4) # Create chart and other elements plot(x,type="n",axes=F,xlim=c(2008,2012),ylim=c(560,670),xlab="",ylab=...
library(vcd) #使用数据集Arthritis counts <- table(Arthritis$Improved) counts None Some Marked 42 14 28 par(mfrow=c(1,2)) barplot(counts, main = "Simple Bar Plot", xlab = "Improvement", ylab = "Frequency") #竖直条形图 barplot(counts, main = "Horizontal Bar Plot", xlab = "Frequency...
a two way frequency table can be generated using numerous functions, however, one other function that I’ll be going over in this tutorial comes in the “epiDisplay” package. It gives you a highly featured report of your dataset that ...
counts<-table(Arthritis$Improved,Arthritis$Treatment) barplot(counts, main="Stacked Bar Plot", xlab="Treatment",ylab ="Frequency", col= c("red","yellow","green"), legend=rownames(counts)) barplot(counts, main="Grouped Bar Plot",
2 counts <- table(Arthritis$Improved) 3 barplot(counts,main='Simple Bar Plot',xlab = 'Inprovement',ylab = 'Frequency') 4 barplot(counts,main='Simple Bar Plot',xlab = 'Inprovement',ylab = 'Frequency',horiz = T) 1. 2. 3.
barplot(counts,main=“Simple Bar Plot”,xlab=‘Improvement’,ylab=“Frequency”) barplot(counts,main=“Simple Bar Plot”,xlab=‘Improvement’,ylab=“Frequency”,horiz=TRUE) 堆砌条形图 数据 counts<-table(Arthritis Treatment) counts Placebo Treated ...
real floating point real followers real frequency real gillard real good real good ah real hub real irÚn real issues real love is meant th real nice detail real or immovable pro real parameter real politics real property legisla real robot battle lin real show real size of the stre real ...
1library(vcd)2counts <-table(Arthritis$Improved)3barplot(counts,main='Simple Bar Plot',xlab ='Inprovement',ylab ='Frequency')4barplot(counts,main='Simple Bar Plot',xlab ='Inprovement',ylab ='Frequency',horiz = T) 1.2均值条形图 # 1.构建数据集 ...
>install.packages("vcd")#安装vcd包 > library(vcd)#载入包 > counts<-table(Arthritis$Improved)#提取样本中改善的量 > counts#输出结果 None Some Marked 42 14 28 > > barplot(counts, + main = "Simple Bar Plot", + xlab = "Improvement",ylab = "Frequency")#绘制简单条形图 简单条形图 > ba...