下面就是在R中利用ggplot画出带有error bar的简单斜率图的基本步骤。 首先,导入数据,test_data是一个只含有3个变量的数据集,分别为自变量X,调节变量M和因变量Y,三个变量均为连续变量。 library(readxl) test_data <- read_excel("Desktop/test_data.xlsx", col_types = c("numeric", "numeric", "numeric...
ggplot(tgc, aes(x = dose, y = len, colour = supp)) + geom_errorbar(aes(ymin = len - ci, ymax = len + ci), width = 0.1, position = pd) + geom_line(position = pd) + geom_point(position = pd) 黑色的误差线 - 注意 'group=supp' 的映射 -- 没有它,误差线将不会避开(就...
rownames(a)=c('Normal','Cancer') 接下来就是先绘制Bar图。 b <- barplot(a$mean, names.arg =rownames(a), col = c("green", "blue"), ylim = c(0, 20),axes = F, font = 2) 核心的部分来了,那就是生成标准差的的顶部横线。 arrows(b[1], a$mean[1], b[1], a$sd[1],angle...
discrimination_plot <- ggplot(discrimination, aes(y = rank, x = Mean)) + geom_point(shape = 18, size = 1) + geom_errorbarh(aes(xmin = cilow, xmax = cihigh), height = 0.25) + geom_vline(xintercept = 0, color = "red", linetype = "dashed", cex = 1, alpha = 0.5) + ...
Those functions works basically the same as the most common geom_errorbar(). # Load ggplot2 library(ggplot2) # create dummy data data <- data.frame( name=letters[1:5], value=sample(seq(4,15),5), sd=c(1,0.2,3,2,4) ) # rectangle ggplot(data) + geom_bar( aes(x=name, y=...
问R- ggplot2 -如果x轴是因子变量时geom_errorbar在外部限制时添加箭头EN好的，在研究了一下之后，我...
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ggplot(data, aes(Group, Mean))+# ggplot function draws plot properlygeom_bar(stat="identity") The output of the previous R syntax is shown in Figure 1: A ggplot2 barchart. The error message does not appear anymore. Video & Further Resources ...
library(ggpubr)# Create a simple bar plotggbarplot( ToothGrowth, x ="dose", y ="len", add = c("mean_se","jitter"), fill ="#BF504D") # Grouped bar plots# Colored by groupsggbarplot( ToothGrowth, x ="dose", y ="len", add = c("mean_sd","jitter"), color ="supp", pale...