- dcast(df, group ~ x, value.var="y") ord <- order(tmp[,2]) tmp <- ...
ggbarplot(df2,x="name",y="mpg_z",fill = "mpg_grp",color = "white",palette="jco",sort.val = "asc",sort.by.groups = FALSE,x.text.angle=60,ylab="MPG z-score",xlab = FALSE,legend.title="MPG Group", rotate=TRUE) 1 g...
value <- c(runif(26),runif(26, min = 1,max = 1.5), runif(26, min = 1.5,max = 2), runif(26, min = 2,max = 2.5)) df <- data.frame(year = year, type = type, value = value) ggplot(data = df, mapping = aes(x = year, y = value, fill = type)) + geom_area(posit...
(ToothGrowth, x="dose", y="len", color = "dose", palette = "jco", binwidth = 1) #An ordered Bar plot(bp) bp <- ggbarplot(mtcars, x="name", y="mpg", fill="cyl", #change fill color by cyl color="white", #Set bar border colors to white palette = "jco", #jco jourbal...
ggbarplot(dfm,x="name",y="mpg",fill="cyl",#changefillcolorbycylcolor="white",#Setbarbordercolorstowhitepalette="jco",#jcojournalcolorpalett.see?ggparsort.val="desc",#Sortthevalueindscendingordersort.by.groups=FALSE,#Don'tsortinsideeachgroupx.text.angle=90#Rotateverticallyxaxistexts) ...
Barplot(also known as Bar Graph or Column Graph) is used to show discrete, numerical comparisons across categories. One axis of the chart shows the specific categories being compared and the other axis represents a discrete value scale.
p <- ggplot(data, aes(x = Group1, y = Value, fill = Group2)) 接着,使用geom_bar()函数添加柱状图层,并设置position参数为"dodge"以实现分组效果: 代码语言:txt 复制 p <- p + geom_bar(stat = "identity", position = "dodge") 最后,使用scale_fill_manual()函数手动指定...
(14, 8, 8, 16, 3, 7, 17, 22, 26)) #create grouped barplot ggplot(df, aes(fill=position, y=points, x=team)) + geom_bar(position='dodge', stat='identity') ggplot(df, aes(fill=position, y=points, x=team)) + geom_bar(position='dodge', stat='identity') + theme(legend....
In aline plot, observations are ordered by x value and connected by a line. x value (for x axis) can be : date : for a time series data texts discrete numeric values continuous numeric values This article describes how to create a line plot using the ggplot2 R package ...
barplot()第一个向量用来设定条形的高度,第二个向量用来设定每个条形对应的标签(可选)。 变量值条形图: 两个输入变量,x为分类变量,y表示变量值 频数条形图:一个输入变量,需要注意连续x轴和离散x轴的差异。 直方图 与条形图不同的地方在于,x为连续型变量 ...