ggvis 是否可以交互地更改 x 和 y 轴的变量? [英] Is it possible with ggvis to interactively change the variables for the x and y axes?

问题描述

有谁知道是否可以使用 ggvis 交互地更改 x 和 y 轴的变量?我可以更改数据点的大小、它们的位置和不透明度，但我无法确定是否可以允许用户从下拉列表中选择一个变量，该变量将成为 x/y 轴的数据.

解决方案

ggvis 包旨在与 dplyr 结合使用，例如来总结数据.dplyr 包还重新导出了 magrittr 管道运算符(%>%，请参阅

使用 input_select 这可以更改为:

如果您不想使用 dplyr/magrittr，它看起来像这样:

p <- ggvis(iris, x = input_select(c('Petal.Width', 'Sepal.Length'), map = as.name))layer_points(p, y = ~Petal.Length, fill=~Species)

Does anyone know if it is possible to change the variables for the x and y axis interactively with ggvis? I can change the size of the data points, their position and opacity, but I can't work out if its possible to allow the user to select a variable from a dropdown that will become the data for the x/y axis.

解决方案

The ggvis package was designed to be used in conjunction with dplyr, e.g. to summarise data. The dplyr package also re-exports the magrittr pipe operator (%>%, see README.md), which makes working with ggvis' implementation of The Grammar of Graphics particularly intuitive (see also this article by the author of these packages, Hadley Wickham).

Below I'll illustrate how to use the input_select() function to change the x of a model and leave the y constant.

First we need to load the two required libraries:

library(dplyr)
library(ggvis)

Now we can plot a data.frame (I'm using the build-in pre-loaded iris):

iris %>% 
  ggvis(x = input_select(c('Petal.Width', 'Sepal.Length'), map = as.name)) %>% 
  layer_points(y = ~Petal.Length, fill = ~Species)

The output is:

using the input_select this can be changed to:

If you prefer not to use dplyr / magrittr it would look like this:

p <- ggvis(iris, x = input_select(c('Petal.Width', 'Sepal.Length'), map = as.name))
layer_points(p, y = ~Petal.Length, fill=~Species)

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