[英]Scatter plot in R with ggvis: how to plot multiple groups with different shape markers and corresponding fitted regression lines
To plot the following in R with the ggvis
package, 要使用ggvis
包在R中绘制以下内容,
the code is 代码是
mtcars %>%
ggvis(~wt, ~mpg, fill = ~factor(cyl)) %>%
layer_points() %>%
group_by(cyl) %>%
layer_model_predictions(model = "lm")
If I change the fill
to shape
in the above, there would be an error: 如果我将fill
更改为上面的shape
,则会出现错误:
Error: Unknown properties: shape.
Did you mean: stroke?
Why? 为什么? How to achieve the desired outcome? 如何达到预期的效果?
You have to specify the shape
in the layer_points()
call: 您必须在layer_points()
调用中指定shape
:
mtcars %>%
transform(cyl = factor(cyl)) %>%
ggvis(~wt, ~mpg) %>%
layer_points(shape = ~cyl, fill = ~cyl) %>%
group_by(cyl) %>%
layer_model_predictions(model = "lm", formula=mpg~wt)
(Note that I use transform()
to convert cyl
into a factor. This means you don't have to convert cyl
into a factor in the ggvis()
call, and the plot key is a little bit neater.) (注意,我使用transform()
将cyl
转换为一个因子。这意味着你不必在ggvis()
调用ggvis()
cyl
转换成一个因子,并且绘图键有点整洁。)
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