Points' colors meaning in residuals vs linear predictors
zohrazahir opened this issue · 1 comments
zohrazahir commented
Hello,
I am wondering if anyone knows what colors in the residuals vs linear predictor plot signify.
Here is the code for plotting:
par(mfrow = c(1, 2))
plot(fit_gllvm, which = 1:2, n.plot = 100)
When I add var.colors to the above code, it changes all the points to one color (for example, color 7, which is yellow)
par(mfrow = c(1, 2))
plot(fit_gllvm, which = 1:2, n.plot = 100, var.colors = 7)
Also, can you help me interpret the below graph? (It shows the residuals vs linear predictor based on Poisson and negative binomial:
Thank you,
Z.
BertvanderVeen commented
Thanks. I will respond to your question, but in the discussion forum as this is not a bug :)