As pointed out by @J_F, you may add theme(plot.title = element_text(hjust = 0.5)) to center the title. ggplot() + ggtitle("Default in 2.2.0 is left-aligned") ggplot() + ggtitle("Use theme(plot.title = element_text(hjust = 0.5)) to center") + theme(plot.title = element_...
e + geom_boxplot() + geom_dotplot(binaxis = "y", stackdir = "center") 添加小提琴图 e + geom_violin(trim = FALSE) + geom_dotplot(binaxis='y', stackdir='center') 将dose映射给颜色以及填充色 e + geom_dotplot(aes(color = dose, fill = dose), binaxis = "y", stackdir = "...
ggseasonplot(nottem_small) + labs(title="Seasonal plot: Air temperatures at Nottingham Castle") 27、分层树形图(Hierarchical Dendrogram) library(ggplot2) library(ggdendro) theme_set(theme_bw()) hc <- hclust(dist(USArrests), "ave") # hierarchical clustering # plot ggdendrogram(hc, rotate = T...
ggplot2 is not only the R language’s most popular data visualization package, it is also an ecosystem. Numerous add-on packages give ggplot added power to do everything from more easily changing axis labels to auto-generating statistical information to customizing . . . almost anything.Here ar...
e + geom_jitter(position=position_jitter(0.2)) + geom_dotplot(binaxis = "y", stackdir = "center") 1. 2. 与小提琴图结合 e + geom_violin(trim = FALSE) + geom_jitter(position=position_jitter(0.2)) 1. 2. 将dose映射给颜色和形状 e + geom_jitter(aes(color = dose, shape = dose)...
ggplot图的元素可以主要可以概括如下:最大的是plot(指整张图,包括background和title),其次是axis(包括stick,text,title和stick)、legend(包括backgroud、text、title)、facet这是第二层次,其中facet可以分为外部strip部分(包括backgroud和text)和内部panel部分(包括backgroud、boder和网格线grid,其中粗的叫grid.major,细...
# title = , 标题 # title_position = 位置 # 'arg'应当是“topleft”, “topcenter”, “left...
qplot(sex, weight, data = wdata, geom = "dotplot", stackdir="center", binaxis="y", dotsize=0.5, color=sex) 直方图、密度图 直方图 qplot(weight, data = wdata, geom = "histogram", fill=sex) 密度图 qplot(weight, data = wdata, geom = "density", color=sex, linetype=sex)...
...p=p+scale_fill_manual(values = colors) + #添加饼图的自定义颜色 coord_polar(theta = "y", direction = -1) +#修改饼图中各成分的顺序...#添加饼图的图例和调整图例的位置 ax1.axis('equal') ax2.axis('off') ax2.legend(patches, labels, loc='center left',frameon...
Now that we have the required aesthetics, let’s add some extras like color to the plot. We cancolorthe points on the plot based on genotype, by specifying the column header. You will notice that there are a default set of colors that will be used so we do not have to specify. Also...