我正在从Excel迁移到ggvis进行数据分析.对于具有两个变量的典型分组条形图,但是我难以并排绘制 条形图而不是堆叠.
以下数据具有四个步骤A,B,C,D,其具有来自两个特征cc,ca的"比率"数据.我的尝试是并排绘制cc和ca特征的比率.但是,默认情节是将两个数据叠加在一起.检查ggvis vignetts有一个选项来设置stack = FALSE.但它会与其他功能重叠.
ggvis中是否有选项可以在ggplot中执行"geom_bar(position ="dodge")"等操作?
library(ggvis)
steps <-c("A","B","C","D","A","B","C","D")
ratio <-c(1.1,1.5,1.7,1.4,1.5,1.7,1.4,1.9)
feature <-c("cc","cc","cc","cc","ca","ca","ca","ca")
shrink <- data.frame(steps,ratio,feature)
shrink %>% ggvis(x= ~steps, y= ~ratio, fill = ~feature) %>% layer_bars()
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我还没有看到一个简单的方法来做到这一点。但解决方法是将 x 轴显式定义为 x 和 fill 变量的组合:
library(ggivs)
library(dplyr)
steps <-c("A","B","C","D","A","B","C","D")
ratio <-c(1.1,1.5,1.7,1.4,1.5,1.7,1.4,1.9)
feature <-c("cc","cc","cc","cc","ca","ca","ca","ca")
shrink <- data.frame(steps,ratio,feature)
shrink %>%
mutate(steps_feature = factor(paste(steps, feature))) %>%
ggvis(x= ~steps_feature, y= ~ratio, fill = ~feature) %>%
layer_bars(stack = FALSE)
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不完全令人满意 - 您想要控制条之间的间隙,并且可能更改标签 - 但方向正确。无论如何,我不太喜欢这些情节,我发现它们在视觉上令人困惑,尽管它们是最常见的情节之一。

我知道这不是您所要求的,并且一些用户需要一段时间才能习惯它们,但我更喜欢包含此类数据的散点图:
library(tidyr)
shrink %>%
spread(feature, ratio) %>%
ggvis(x = ~ca, y = ~cc, text := ~steps) %>%
layer_text(fontSize := 35)
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