柱状图又叫条形图,是数据展示最重要的一类统计图,数据分析结果展示中使用频率非常高,各类统计软件均能绘制。在R语言中,有很多包可绘制柱状图,比如graphics包barplot()函数和ggplot2包geom_bar()函数。 本文介绍ggplot2包的geom_bar()函数绘制柱状图。geom_bar()函数的基本用法:geom...
ggplot(diamonds, aes(x=price)) + geom_histogram() 3.4. Using Colors in a Bar Graph 把计步数据用指定的颜色填充。这里只有11个月,所以造了11种颜色。 ggplot(meanMonthStep, aes(x=month, y=step, fill=month)) + geom_bar(stat="identity", color="black") + scale_fill_manual(values=c("#...
Stacked Bar Graph Labels with ggplot2 Adding labels to ggplot bar chart What I did wrong initially, was pass theposition = "fill"parameter togeom_bar(), which for some reason made all the bars have the same height! r ggplot2 Share ...
0 Add percentage label to geom_bar chart in ggplot2 2 Show percent of total on top of geom_bar in ggplot2 while showing counts on y axis 1 Adding proportions to a bar chart 0 How to put 'geom_text' percent based on each bar? 1 Percents on top of stacke...
ggplot2的逻辑其实是真正实现了一个图层叠加的概念:一句语句代表一张图,然后再有最小的单元图层。 ggplot2相比于R基础包的绘图函数的优点:第一,有明确的起始(以ggplot函数开始)与终止(一句语句一幅图);其二,图层之间的叠加是靠“+”号实现的,越后面其图层越高;其三,绘图更加美观。R基础包的绘图函数没有一个停...
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 design. Example 8: Barplot in plotly Package Another powerful R add-on package for the printing of barcharts is...
# Bar graph, time on x-axis, color fill grouped by sex -- use position_dodge() ggplot(data=dat1, aes(x=sex, y=total_bill, fill=time)) + geom_bar(stat="identity", position=position_dodge(), colour="black") See ../Colors (ggplot2) for more information on colors....
By executing the previous code we have plotted Figure 1, i.e. a ggplot2 bargraph without any lines or secondary y-axes. Let’s modify this plot! Example 1: Add Line to ggplot2 Barplot Example 1 illustrates how to overlay a line on top of a ggplot2 barchart. To achieve this, we ...
ggplot(diamonds, aes(x=price)) + geom_histogram() 3.4. Using Colors in a Bar Graph 把计步数据用指定的颜色填充。这里只有11个月,所以造了11种颜色。 ggplot(meanMonthStep, aes(x=month, y=step, fill=month)) + geom_bar(stat="identity", color="black") + ...
Option 2: changing theaesvariables order # install.packages("ggplot2")library(ggplot2)ggplot(df,aes(x=count,y=group))+geom_bar(stat="identity") Order of the bars of the bar graph The default order of the bars depend on the levels of the factor variable. In our example you can check...