I need to evaluate a function (say) Fxy = 2*x.^2 +3 *y.^2; on a ternary grid x-range (0 - 1), y-range (0-1) and 1-x-y (0 - 1). I am unable to construct the ternary grid on w
Here is a solution using R and my package ggtern. I have also included the points within proximity underneath, for the purpose of comparison.
library(ggtern)
Fxy = function(x,y){ 2*x^2 + 3*y^2 }
x = y = seq(0,1,length.out = 100)
df = expand.grid(x=x,y=y);
df$z = 1 - df$x - df$y
df = subset(df,z >= 0)
df$value = Fxy(df$x,df$y)
#The Intended Breaks
breaks = pretty(df$value,n=10)
#Create subset of the data, within close proximity to the breaks
df.sub = ldply(breaks,function(b,proximity = 0.02){
s = b - abs(proximity)/2; f = b + abs(proximity)/2
subset(df,value >= s & value <= f)
})
#Plot the ternary diagram
ggtern(df,aes(x,y,z)) +
theme_bw() +
geom_point(data=df.sub,alpha=0.5,color='red',shape=21) +
geom_interpolate_tern(aes(value = value,color=..level..), size = 1, n = 200,
breaks = c(breaks,max(df$value) - 0.01,min(df$value) + 0.01),
base = 'identity',
formula = value ~ poly(x,y,degree=2)) +
labs(title = "Contour Plot on Modelled Surface", x = "Left",y="Top",z="Right")
Which produces the following:
I am the author of ternplot. As you have correctly surmised, ternpcolor
does not do what you want, as it is built to grid data automatically. In retrospect, this was not a particularly wise decision, I've made a note to change the design. In the mean time this code should do what you want:
EDIT: I've changed the code to find the intersection of two curves rather than just one.
N = 10;
x = linspace(0, 1, N);
y = x;
% The grid intersections on your diagram are actually rectangularly arranged,
% so meshgrid will build the intersections for us
[xx, yy] = meshgrid(x, y);
zz = 1 - (xx + yy);
% now that we've got the intersections, we can evaluate the function
f1 = @(x, y) 2*x.^2 + 3*y.^2 + 0.1;
Fxy1 = f1(xx, yy);
Fxy1(xx + yy > 1) = nan;
f2 = @(x, y) 3*x.^2 + 2*y.^2;
Fxy2 = f2(xx, yy);
Fxy2(xx + yy > 1) = nan;
f3 = @(x, y) (3*x.^2 + 2*y.^2) * 1000; % different order of magnitude
Fxy3 = f3(xx, yy);
Fxy3(xx + yy > 1) = nan;
subplot(1, 2, 1)
% This constructs the ternary axes
ternaxes(5);
% These are the coordinates of the compositions mapped to plot coordinates
[xg, yg] = terncoords(xx, yy);
% simpletri constructs the correct triangles
tri = simpletri(N);
hold on
% and now we can plot
trisurf(tri, xg, yg, Fxy1);
trisurf(tri, xg, yg, Fxy2);
hold off
view([137.5, 30]);
subplot(1, 2, 2);
ternaxes(5)
% Here we plot the line of intersection of the two functions
contour(xg, yg, Fxy1 - Fxy2, [0 0], 'r')
axis equal
EDIT 2: If you want to find the point of intersection between two contours, you are effectively solving two simultaneous equations. This bit of extra code will solve that for you (notice I've used some anonymous functions in the code above now, as well):
f1level = 1;
f3level = 1000;
intersection = fsolve(@(v) [f1(v(1), v(2)) - f1level; f3(v(1), v(2)) - f3level], [0.5, 0.4]);
% if you don't have the optimization toolbox, this command works almost as well
intersection = fminsearch(@(v) sum([f1(v(1), v(2)) - f1level; f3(v(1), v(2)) - f3level].^2), [0.5, 0.4]);
ternaxes(5)
hold on
contour(xg, yg, Fxy1, [f1level f1level]);
contour(xg, yg, Fxy3, [f3level f3level]);
ternplot(intersection(1), intersection(2), 1 - sum(intersection), 'r.');
hold off
I have played a bit with the file exchange submission https://www.mathworks.com/matlabcentral/fileexchange/2299-alchemyst-ternplot.
if you just do this:
[x,y]=meshgrid(0:0.1:1);
Fxy = 2*x.^2 +3 *y.^2;
ternpcolor(x(:),y(:),Fxy(:))
You get:
The thirds axis is created exactly as you say (1-x-y) inside the ternpcolor
function. There are lots of things to "tune" here but I hope it is enough to get you started.