12 December 11.248285 16.640037",header=TRUE,sep="") and I want to create a grouped bar chart. I used plotly and the result is as I want to be: However, I realized that in order to download it as eps format, I have to pay a subscription. For that reason, I tried ggplot. This i...
p <- ggplot(data, aes(x = lable, y = mean, fill = group)) + # 基本图层 scale_fill_manual(values=c("#F0E442", "#D55E00")) # 条形图填充颜色 条图+ 误差线 p <- p + geom_bar(stat = "identity", color="black", width = 0.55, position = dodge) + # 条形图绘制 geom_error...
今天还找到了一份参考资料r - How to plot a Stacked and grouped bar chart in ggplot? - Stack ...
6、参数weight,上面的geom_bar函数的纵坐标一开始只能是count计数,但是如果我们使用了weight参数,就可以按照x分成几个条状后,计算weight里面的数值的和 ggplot(data=diamonds,mapping=aes(x=cut,weight=carat))+geom_bar(fill="blue",alpha=0.5,color="red") 1. 计算了不同cut类型下carat的总和 7、改变横轴上面...
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ggplot(data, aes(x = Category, y = Value, fill = Group)) + geom_bar(stat = "identity", position = "stack") + labs(title = "Grouped Stacked Bar Chart", x = "Category", y = "Value") + theme_minimal() 在这个示例中,我们创建了一个包含组别、类别和数值的数据框。然后使用ggplot函数...
11) ) # 使用barplot()函数创建分组条形图 barplot(as.matrix(data), beside = TRUE, # 设置为TRUE以创建分组条形图 names.arg = c("Category1", "Category2", "Category3"), # 设置组别名称 xlab = "Category", # 设置x轴标签 ylab = "Value", # 设置y轴标签 main = "Grouped Bar Chart" # ...
geom_errorbarh():用于绘制水平误差条 geom_linerange():用于绘制用垂直线表示的线段(区间) geom_pointrange():用于绘制用垂直线表示的线段(区间),但中间有一个点 首先使用汇总统计数据初始化ggplot,指定x、y、ymin和ymax,通常指定ymin = len-sd,ymax = len+sd 来添加向下和向上的误差条(均值 ± 标准差)...
library(ggplot2) library(reshape2) # 读取簇状、堆积、填充柱形图数据文件 df= read.delim("https://www.bioladder.cn/shiny/zyp/bioladder2/demoData/bar/demo.txt") # 这里读取了网络上的demo数据,将此处换成你自己电脑里的文件 # 把数据转换成ggplot常用的类型(长数据) ...
在这种创建分组条形图的方法中,用户首先需要在工作的 r 控制台中安装和导入 ggplot2 包,这里 ggplot2 负责导入其用于创建分组条形图的函数。然后,用户需要调用 ggplot 包中的 geom_bar()函数并将所需参数放入其中,以在 R 编程语言中创建分组条形图。