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Figure 2.1 - 2.5Firstly, the mixture Gaussian function is given by######################generate mixture Gaussian#############library(MASS) # generate means of mixture Gaussian blueMeans <- mvrnorm(10,

Figure 10.2 Firstly define the function to generate simulated data. # function for generating data for figure 10.2 gen_eq_10_2_data &amp;amp;amp;amp;lt;- function(N = 2000, p = 10){ X &amp;amp;amp;amp;lt;- matrix( rnorm(N*p), ...