指定基本地图ggplot2 对象,其顺序与单变量情况相同(我们使用scale_fill_identity() 而不是Viridis 色标)。 然后我们遍历 annotations 数据框的每一行,并将每个注释(geom_curve() 和geom_text() 调用)一一添加到 map 对象。 请注意,我们需要再次手动指定标签的字体系列。 map <- ggplot( # 主数据集 data = mun...
Change histogram plot colors by groups Calculate the mean of each group Change line colors Change fill colors Change the legend position Use facets Functions:geom_histogram(),stat_bin(),position_identity(),position_stack(),position_dodge(). ...
library(reshape2) library(plotly) df <- melt(volcano) p <- ggplot(df, aes(Var1, Var2)) + geom_raster(aes(fill=value)) + scale_fill_distiller(palette = "Spectral", direction = -1) + labs(x="West to East", y="North to South", title = "Elevation map of Maunga Whau", fill...
xlab("Category") + ggtitle("Stacked Bar Chart of 3 Variables") 在这个示例中,我们使用了geom_bar()三次来创建堆叠柱状图,每次分别指定一个y变量,并通过fill参数指定堆叠变量的颜色。最后使用scale_fill_manual()来手动指定填充颜色,并且使用labs()来添加图例标签。最终我们得到了一个展示3个变量堆叠柱状图的可...
ggMarginal(g, type = "boxplot", fill="transparent") # ggMarginal(g, type = "density", fill="transparent") 1.1s R advanced-vis 1.7. Correlogram Correlogram lets you examine the correlation of multiple continuous variables present in the same dataframe. This is conveniently implemented using th...
(iris, "Sepal.Width", fill="Species", palette = "jco")+rotate() #Clean the plots xplot <- xplot+clean_theme() yplot <- yplot+clean_theme() #Arrange the plots ggarrange(xplot, NULL, sp, yplot, ncol = 2, nrow = 2, align = "hv", widths = c(2, 1), heights = c(1, ...
Top ten countries top that won the most Olympics competition 1896–2016 (Image by Author) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Create a barplot(ggplot(data=medal_noc_count)+geom_bar(aes(x='NOC',y='Count'),fill=np.where(medal_noc_count['NOC']=='USA','#c22d6d','#...
p <- ggplot(data = filter(gapminder, country == "Rwanda"),mapping = aes(x = year,y = lifeExp))p + geom_area(fill = "darkseagreen1", alpha = 0.5) 这种图形的纵坐标应该从0开始, 使得阴影部分的大小与纵坐标值成比例, 这也是ggplot2的默认做法。
(mtcars, x="name", y="mpg", fill="cyl",#change fill color by cylcolor="white",#Set bar border colors to whitepalette ="jco",#jco jourbal color palettesort.val ="asc",#Sort the value in ascending ordersort.by.groups =TRUE,#Sort inside each groupx.text.angle=90#Rotate vertically...
# Multiple histograms on the same plot # Color the histogram plot by the groupName "sex" ggplot2.histogram(data=weight, xName='weight', groupName='sex', legendPosition="top") # Histogram plots with semi-transparent fill. # alpha is the transparency of the overlaid color ggplot2.histogram...