ggplot(data_ggp, aes(x=group, y=values))+# Create barchart with ggplot2geom_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 design. E...
方法1.用List的成员函数sort进行排序 方法2.用built-in函数sorted进行排序（从2.4开始） 这两种方法使...
# 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 the order of the bars withlevels(as.fa...
library(plotly) df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2)) p <- ggplot(df, aes(trt, outcome)) + geom_point() ggplotly(p) abc2.12.42.73.0 trtoutcome You can also use geom_bar() with continuous data, in which case it will show counts at ...
ggplot不识别一个x点对应两个y点,所以需要将后面的两列放在一起,同时每一列加一个标签,这样才可以做出以a为x轴,b,c为y轴的条形图。 第一步:对数据变形 将准备作为x(或者Y)轴的数据的数据放到一起,同时同来自不同样的y轴做上标记 方法一:手动提取,然后用rbind合并 ...
Discrete Value Bar graphIn ggplot2, the default is to use stat_bin, so that the bar height represents the count of cases.Bar graphs of valuesHere is some sample data (derived from the tips dataset in the reshape2 package):dat<-data.frame(time=factor(c...
Here is some complete code (using @stefan's suggestion) for the graph: data_filtered_filtered <- subset(data_filtered, Frequency == "percent") ggplot(data_filtered_filtered, aes(x = Short_Labels, y = percent, fill = Categories)) + geom_bar(stat = "identity", positi...
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(...
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("#...
As a next step, we can draw our data in a barplot: ggp1<-ggplot(data)+# Draw ggplot2 barplotgeom_bar(aes(group, sample), stat="identity")ggp1 By executing the previous code we have plotted Figure 1, i.e. a ggplot2 bargraph without any lines or secondary y-axes. ...