This code makes a simple 3d scatter plot of the Fisher iris dataset, with an additional categorical variable added:
library(plotly)
roots <- factor(round(runif(n = dim(iris)[2],min = -.499,max = 2.499)))
my_iris <- cbind(data.frame(roots), iris)
plot_ly() %>%
add_trace(data = my_iris, type = 'scatter3d', mode = "markers",
x = ~Sepal.Length,
y = ~Petal.Length,
z = ~Sepal.Width,
color = ~Species,
colors = c("red","blue","green")
)
By looking at this help page: https://plot.ly/r/marker-style/
I was able to figure out that you can add an outline to the points like this:
plot_ly() %>%
add_trace(data = my_iris, type = 'scatter3d', mode = "markers",
x = ~Sepal.Length,
y = ~Petal.Length,
z = ~Sepal.Width,
color = ~Species,
colors = c("#00FA9A34","#B22222dd","#00BFFFee"),
marker = list(
line = list(
color = "#aabbffdd",
width = 2
)
)
)
Looking at this site https://plot.ly/r/reference/#scatter3d made the idea that lines are a property of scatter3d markers that in turn have the properties color and width make sense.
Now I attempt to map colors to the outlines based on my new roots
variable,
plot_ly() %>%
add_trace(data = my_iris, type = 'scatter3d', mode = "markers",
x = ~Sepal.Length,
y = ~Petal.Length,
z = ~Sepal.Width,
color = ~Species,
colors = c("#00FA9A34","#B22222dd","#00BFFF66"),
marker = list(
line = list(
color = ~roots,
colors = c("#000000ff","#f00f3355","#dd22ccbb"),
width = 2
)
)
)
and it doesn't quite work: The first hex+alpha value I use should map to completely opaque black, but that is not one of the colors I get, and I would expect to see legend entries that describe the output.
So my question is: is there a way to do this aesthetic mapping? Perhaps instead of using add_trace
I should use add_markers
? Is there a way to do this in 2d scatters in Plotly R? Also would appreciate hints on how to learn Plotly for R properly as the documentation page I linked to above is a bit opaque and there seem to be fewer great resources to learn plotly than there are for ggplot2.