Hi,
I'm trying to generate a mixture from 2 univariate normal distributions and
would like to put a constrained on the means (Equal) of the two distributions.
Here is my shot at the code:
library(nor1mix)
X <- norMix(mu=c(50, 60 ), sig2=c(5,10), w=c(0.5, 0.5))
mixData <- rnorMix(1000, X)
plot(mixData, type="l")
I did get the 1000 random numbers in equal proportion but how can I confirm if
the means was constrained or not in the data generation process?
Any help will be highly appreciated
VD
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and provide commented, minimal, self-contained, reproducible code.
