Interpolate from discontinuous data to plot a heatmap

Asked Jan 31 '15 at 13:52

Active Jan 31 '15 at 13:52

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Using the code below I can get a discontinuous heatmap.

qplot(mpg, wt, data = mtcars, colour = cyl, xlab = "MPG", ylab = "WT") +
  scale_colour_gradient2(name = "Cylinders", midpoint = median(mtcars$cyl),
                         low = "red", mid = "green", high = "black")

enter image description here

I wish to intrapolate this data to plot a continuous heatmap. But at the same time using qplot for plotting if possible.

edited May 23 '17 at 12:12

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asked Jan 31 '15 at 13:52

Abhishek Bhatia

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Based on what criterion is the interpolation to be done? – Roman Luštrik Jan 31 '15 at 15:09
Interpolation of cyl from wt and mpg, I guess. – Abhishek Bhatia Jan 31 '15 at 15:10
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Hum, I may be dense, but could you better describe what the result would ook like? Also, how does a motor with 4.75 cylinders look like? – Roman Luštrik Jan 31 '15 at 15:15
@RomanLuštrik this is just sample set, I am implementing on something else which make more sense in terms of relation, but cant upload the data. – Abhishek Bhatia Jan 31 '15 at 15:21
Then find a dataset that exhibits the same degree of coverage. It is still unclear what you want done. At the moment you are coloring points on continuous measurements rather than regions in a discontinuous grid: which is what heatmaps do. – IRTFM Jan 31 '15 at 16:01
@BondedDust Something of this sort ggplot(df,aes(x=k_e,y=percent,z=time)) + stat_summary2d(bins=9) – Abhishek Bhatia Jan 31 '15 at 18:19
But it is essentially an average though. – Abhishek Bhatia Jan 31 '15 at 18:19

Interpolate from discontinuous data to plot a heatmap

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