在这篇文章中,我们将看到使用R编程语言中的ggplot2来改变柱状图颜色的各种方法。为了创建一个简单的柱状图,我们将使用函数 geom_bar( )语法geom_bar(stat, fill, color, width)参数:stat : 设置stat参数以确定模式。 fill : 代表条形图内部的颜色。 color : 代表条形图轮廓的颜色。 width : 代表条形图的宽度...
p <- ggplot(data, aes(x=as.factor(id), y=value)) + # This add the bars with a blue color # 添加蓝色条形,stat表示数据统计方式,也就是说identity提取横坐标x对应的y值 geom_bar(stat="identity", fill=alpha("blue", 0.3)) + # The negative value controls the size of the inner circle,...
ggplot(email_campaign_funnel, aes(x = Stage, y = Users, fill = Gender)) + # Fill column geom_bar(stat = "identity", width = .6) + # draw the bars scale_y_continuous(breaks = brks, # Breaks labels = lbls) + # Labels coord_flip() + # Flip axes labs(title="Email Campaign ...
It would make sense to order the college departments from highest to lowest enrollment. It wouldn't make as much sense to order the income quintiles by most to least people, you would end up with a counter-intuitive graph. Bar charts usually have aspacebetween the bars,histograms usually don...
mydata<-read.csv("Line_Data.csv",stringsAsFactors=FALSE) mydata$date<-as.Date(mydata$date) mydata<-melt(mydata,id="date") ggplot(mydata, aes(x =date, y = value,color=variable) )+ #geom_area(fill="#FF6B5E",alpha=0.75)+ geom_line(size=1)+ scale_x_date(date_labels = "%Y"...
ggplot(data1, aes(x, y)) + # Manually ordered barchart geom_bar(stat = "identity")Figure 2: Manual Order of Bars.Figure 2 illustrates the new ordering of our barchart.Example 2: Barchart with Increasing OrderLet’s assume that we want to sort our barplot by the size of the bars....
ggplot(data_ggp, aes(x = group, y = values)) + # Create barchart with ggplot2 geom_bar(stat = "identity")Figure 7: Barchart Created with ggplot2 Package.Figure 7 shows bars with the same values as in Examples 1-4. However, this time the bargraph is shown in the typical ggplot2...
今天我们要分享的R包是 ggpubr 包,它是一款基于ggplot2的可视化包,功能非常强大,能够一行命令绘制出符合出版物要求的图形。ggpubr 包可绘制的图形类型非常多,有密度图、直方图、柱状图、饼图、棒棒糖图、Cleveland 点图、箱线图、小提琴图、点带图、点图、散点图、线...
- lubridate::year(brks) # plot ggplot(df, aes(x=date)) + geom_line(aes(y=value...
pal(12, "Paired") coul = colorRampPalette(coul)(ngroup) coul=coul[sample(c(1:length(coul)) , size=length(coul) ) ] gg1=ggplot(DAT, aes(x=Year, y=Value, fill=Group )) + geom_area(alpha=1 )+ theme_bw() + #scale_fill_brewer(colour="red", breaks=rev(levels(DAT$Group)))+...