可以使用plot_annotation()函数将标题等添加到组合图中。 实例展示:(这里开始使用了ggplot2提供的mpg数据集) p1 <- ggplot(mpg) + geom_point(aes(x = displ, y = hwy)) p2 <- ggplot(mpg) + geom_bar(aes(x = as.character(year), fill = drv), position = "dodge") + labs(x = "year") ...
gg <- ggplot(df, aes(x=Var1, y=Var2, fill=value, label=value)) + geom_tile() + theme_bw() + geom_text(aes(label=value, size=value), color="white") + labs(title="mtcars - Correlation plot") + theme(text=element_text(size=20), legend.position="none") library(RColorBrewer)...
plot.title.position = "plot", #将标题位置设置为整个图区域的左对齐 plot.subtitle = element_text(hjust = 0, color="grey50", size=8), plot.caption = element_text(hjust = 0, color="grey70", size=6), plot.caption.position = "plot" #将标题位置设置为整个图区域的左对齐 ) 14. ticks对...
好吧，也许您可以通过annotation_custom()做一些grobs，但我认为把这些作为文本geom可能更容易一些。为此，...
Using ggplot2, 2 main functions are available for that kind of annotation: geom_text to add a simple piece of text geom_label to add a label: framed text Note that the annotate() function is a good alternative that can reduces the code length for simple cases. # library library(ggplo...
xlim(c(0, 0.1)) + ylim(c(0, 500000)) + labs(y="Population", x="Area", title="Figure 4: Scatterplot", caption = "Source: midwest") + theme(plot.background = element_rect(colour="black",size=1)) plot(gg) annotation_custom...
我尝试使用plot.title=element_text(hjust=0.02, vjust=-7)将标题移动到绘图区域。但是,它将在绘图的顶部区域显示一个空白区域。 如何优雅地删除空白区域? 此处是带有标题和绘图顶部空白区域的绘图。 data <- data.frame(name=c('a','b','c','d'), ...
type = "nonparametric", xlab = "Movies budget (in million US$)", grouping.var = genre, ggtheme = ggthemes::theme_tufte(), ## modify the defaults from `{ggstatsplot}` for each plot plotgrid.args = list(nrow = 1), annotation.args = list(title = "Movies budgets for different genre...
dev add annotation Apr 26, 2024 DESCRIPTION added save ggplot multi module Jan 30, 2025 LICENSE update LICENSE Oct 11, 2018 NAMESPACE import %||% from rlang Jan 30, 2025 NEWS.md fixed specific color module Sep 18, 2024 README.Rmd ...
Move the labels away from the plot (and add color) (theme(),axis.title.x) I find that the labels are too close to the plot in the default settings so, similar to with the title, I’m using thevjustargument. g + theme( axis.title.x = element_text(color="forestgreen", vjust=-0....