i have a dataset with x and y values. i want to randomly select a point on
the x-axis between the smallest and largest x-value and use a y value of
zero for them.
Next, for each randomly selected point {x[i],0}i want to find the point in
the {x,y} space which is closest to them.
However, as seen below, the scale of y-values is not the same as the
x-values, using normal distance would always end up in a value that is very
close to zero, therefore generating always the same. how can i overcome this
problem?
My code is;
#randomly select 100 values between 0 and 10000
y = runif(100,0,10000)
x = 1:length(x)
plot(x,y)
#randomly sample 20 values of 'x'
x.rand = sample(x, 20)
y.rand = rep(0, length(x.rand))
points(x.rand, y.rand, col="blue")
#find a point which has minimal distance between the {x,y} and the
{x.rand,0}
dist.indices = c()
for(i in 1:length(x.rand)){
dist.values = ((x.rand[i]-y.rand[i])^2+(x-y)^2)^0.5
dist.indices = c(indices,which(dist.values == min(dist.values)))
}
This will always end up with one dist.indices that is very close to zero.
Thanks in advance,
Marten
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