r / sciplot：lineplot.CI 中重叠的胡须

发布于 2025-01-07 07:37:39 字数 506 浏览 0 评论 0原文

使用 sciplot 库中的 lineplot.CI 制作交互图时，误差线可能会在组之间重叠。例如，

data = c(1,5,3,7,3,7,5,9)
grp1 = c(1,1,1,1,2,2,2,2)
grp2 = c(1,1,2,2,1,1,2,2)
lineplot.CI(grp1, data, grp2)

通过向分组变量添加抖动并将 x.cont 设置为 TRUE，可以沿 x 轴分隔组，但这会使图中的线条消失：

data = c(1,5,3,7,3,7,5,9)
grp1 = c(1,1,1,1,2,2,2,2) + c(-0.05, -0.05, 0.05, 0.05, -0.05, -0.05, 0.05, 0.05)
grp2 = c(1,1,2,2,1,1,2,2)
lineplot.CI(grp1, data, grp2, x.cont=TRUE)

是否可以使线条出现并抖动点，以便误差线不重叠？或者有没有更好的方法来制作这种情节？

原文

When making an interaction plot using lineplot.CI in the sciplot library, error bars can overlap across groups. For example,

data = c(1,5,3,7,3,7,5,9)
grp1 = c(1,1,1,1,2,2,2,2)
grp2 = c(1,1,2,2,1,1,2,2)
lineplot.CI(grp1, data, grp2)

The groups can be separated along the x axis by adding jitter to the grouping variable and setting x.cont to TRUE, but this makes the lines in the plot disappear:

data = c(1,5,3,7,3,7,5,9)
grp1 = c(1,1,1,1,2,2,2,2) + c(-0.05, -0.05, 0.05, 0.05, -0.05, -0.05, 0.05, 0.05)
grp2 = c(1,1,2,2,1,1,2,2)
lineplot.CI(grp1, data, grp2, x.cont=TRUE)

Is it possible to get the lines to appear and to jitter the points, so that the error bars don't overlap? Or is there a better way to make this kind of plot?

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苦行僧 2025-01-14 07:37:40

您可以使用 ggplot2 来实现这一点。这是一个带有内置数据集的示例（因为我没有您的标准错误或 CI）。关键是使用position_dodge()。

ToothGrowth$dose.cat <- factor(ToothGrowth$dose, labels=paste("d", 1:3, sep=""))
df <- with(ToothGrowth , aggregate(len, list(supp=supp, dose=dose.cat), mean))
df$se <- with(ToothGrowth , aggregate(len, list(supp=supp, dose=dose.cat), 
              function(x) sd(x)/sqrt(10)))[,3]

opar <- theme_update(panel.grid.major = theme_blank(),
                     panel.grid.minor = theme_blank(),
                     panel.background = theme_rect(colour = "black"))

xgap <- position_dodge(0.2)
gp <- ggplot(df, aes(x=dose, y=x, colour=supp, group=supp))
gp + geom_line(aes(linetype=supp), size=.6, position=xgap) + 
     geom_point(aes(shape=supp), size=3, position=xgap) + 
     geom_errorbar(aes(ymax=x+se, ymin=x-se), width=.1, position=xgap)
theme_set(opar)

在此处输入图像描述

You can use ggplot2 for that. Here is an example with a built-in dataset (as I don't have your standard errors or CIs). The key is to use position_dodge().

ToothGrowth$dose.cat <- factor(ToothGrowth$dose, labels=paste("d", 1:3, sep=""))
df <- with(ToothGrowth , aggregate(len, list(supp=supp, dose=dose.cat), mean))
df$se <- with(ToothGrowth , aggregate(len, list(supp=supp, dose=dose.cat), 
              function(x) sd(x)/sqrt(10)))[,3]

opar <- theme_update(panel.grid.major = theme_blank(),
                     panel.grid.minor = theme_blank(),
                     panel.background = theme_rect(colour = "black"))

xgap <- position_dodge(0.2)
gp <- ggplot(df, aes(x=dose, y=x, colour=supp, group=supp))
gp + geom_line(aes(linetype=supp), size=.6, position=xgap) + 
     geom_point(aes(shape=supp), size=3, position=xgap) + 
     geom_errorbar(aes(ymax=x+se, ymin=x-se), width=.1, position=xgap)
theme_set(opar)

enter image description here

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