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I have 2 vectors $1000 \times 1$, lets call them $y_{1}$ and $y_{2}$. Each vector represents a normal distribution with certain mean and variance.

I plot the contour plot using the following R code:

x <- y1
y <- y2
s <- subplot(
  plot_ly(x = x, type = "histogram", showlegend=FALSE),
  plotly_empty(),
  plot_ly(x = x, y = y, type = "histogram2dcontour", showlegend=FALSE),
  plot_ly(y = y, type = "histogram", showlegend=FALSE),
  nrows = 2, heights = c(0.2, 0.8), widths = c(0.8, 0.2),
  shareX = TRUE, shareY = TRUE, titleX = FALSE, titleY = FALSE
)
layout(s)

and i get the following plot

contour plot

What I would like to do now, is to plot a 3D contour plot (so that I can actually see the "mountain" that is created after plotting the histogram of $y_{1}$ against the histogram of $y_{2}$). So in the z-axis I would like to have the frequencies of the values. Any suggestions ?

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  • $\begingroup$ Please make a reproducible example that we can cut and paste and run. Also, state which packages you are using, because this looks like you are using a "plotly" package of some sort. Also also, try posting to stackoverflow unless you have a real data science question. $\endgroup$ – Spacedman Jul 18 '16 at 13:07
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This plot not use frequencies but kernel density:

freqz <- with(data.frame(x,y), MASS::kde2d(x, y, n = 50))
with(freqz, plot_ly(x = x, y = y, z = z, type = "surface")) 

enter image description here

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  • $\begingroup$ Thank you Robert. Is there any link between the kernel density and the frequencies ? $\endgroup$ – quant Jul 25 '16 at 8:21
  • $\begingroup$ And more importantly, what is the kernel density ? $\endgroup$ – quant Jul 25 '16 at 8:36
  • $\begingroup$ Kernel density is like a histogram but with smoothed relative frequencies. See here stats.stackexchange.com/a/43234/77852 $\endgroup$ – Robert Jul 25 '16 at 21:09

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