ggtitle(colnames(test)[2]) + theme(axis.text.x = element_text(angle = 30, vjust = 0.85, hjust = 0.75), plot.title = element_text(hjust = 0.5)) + geom_text(data = label_data, aes(x = x, y = y, label = label), size = 4, inherit.aes = FALSE) + geom_segment(data = li...
options(repr.plot.width = 6, repr.plot.height = 3, repr.plot.res = 300) #创建一个画布,包含坐标轴和数据信息 p1 <- ggplot(mpg, aes(displ, hwy)) #geom_系列函数添加散点图(geom_point()图层 p2 <- p1 + geom_point()+ggtitle('By geom_point()') #geom_point()是捷径,实际上后台调用l...
geom_text()添加文本及其在图中的横纵坐标,可修改文本字体(family)、磅值(fontface)、水平位置hjust(“left”, “center”, “right”, “inward”, “outward”)、垂直位置vjust(“bottom”, “middle”, “top”, “inward”, “outward”)、大小(size)、倾斜度(angle)、文字距原坐标点的距离(nudge)、防...
gg + geom_text_repel(aes(label=large_county), size=2, data=midwest_sub) + labs(subtitle="With ggrepel::geom_text_repel") + theme(legend.position = "None") 1. 2. 3. 4. Warning message: "Removed 15 rows containing non-finite values (stat_smooth)." Warning message: "Removed 15 ro...
注意要加在geom_bar，而不是geom_text 可以看到之前是这样 改完后 数据对上了 同样的语句并列就没...
dat_text[dat_text$pvalue<0.01,]$label <- paste("**", "P<0.01", sep=" ") library(ggplot2) options(repr.plot.width=8, repr.plot.height=12) # 8x8 g2 <- ggplot(data=genes_expr_melt, aes(x=pseudotime, y=value, fill=group, color=group)) + geom_point(size=0.01, alpha=0.5,...
geom_point(aes(color=group), show.legend = F, size=5)+ xlim(-0.2,0.2)+ labs(y=NULL)+ theme_minimal()+ theme(panel.grid = element_blank(), axis.text.y = element_blank(), axis.line.x = element_line(), axis.ticks.x = element_line())+ ...
为了使它与ggtext一起正常工作，包的element_markdown()函数也必须添加到ggplot主题中。语法是将适当的markdown样式添加到文本中，然后将element_markdown()添加到主题的元素中，例如用于斜体副标题:library(ggtext)ggplot(snowfall2000s, aes(x = Winter, y = Total)) + my_geom_col() + labs(title = ...
options(scipen = 999) library(ggplot2) library(ggalt) midwest_select <- midwest[midwest$poptotal > 350000 & midwest$poptotal <= 500000 & midwest$area > 0.01 & midwest$area < 0.1, ] # Plot ggplot(midwest, aes(x=area, y=poptotal)) + geom_point(aes(col=state, size=popdensity)...
我们可以用ggplot2里的geom_point()绘制散点图。另外,还可以用geom_smooth来绘制平滑曲线,通过设置methon='lm'来绘制最佳拟合曲线。 options(scipen=999) library(ggplot2) theme_set(theme_bw()) data("midwest", package = "ggplot2") # midwest <- read.csv("http://goo.gl/G1K41K") ...