r - Graphical output of density for the function gammamixEM (package mixtools) -


i'm using function gammamixem package mixtools. how can return graphical output of density in function normalmixem (i.e., second plot in plot(...,which=2)) ?

update:

here reproducible example function gammamixem:

x <- c(rgamma(200, shape = 0.2, scale = 14), rgamma(200,       shape = 32, scale = 10), rgamma(200, shape = 5, scale = 6)) out <- gammamixem(x, lambda = c(1, 1, 1)/3, verb = true) 

here reproducible example for function normalmixem:

data(faithful) attach(faithful) out <- normalmixem(waiting, arbvar = false, epsilon = 1e-03) plot(out, which=2) 

enter image description here

i obtain graphical output of density function gammamixem.

here go.

out <- normalmixem(waiting, arbvar = false, epsilon = 1e-03)  x          <- out  whichplots <- 2 density = 2 %in% whichplots loglik  = 1 %in% whichplots  def.par    <- par(ask=(loglik + density > 1), "mar") # ask , mar changed mix.object <- x   k    <- ncol(mix.object$posterior) x    <- sort(mix.object$x)    <- hist(x, plot = false) maxy <- max(max(a$density), .3989*mix.object$lambda/mix.object$sigma) 

i had dig source code of plot.mixem

so, gammamixem:

x <- c(rgamma(200, shape = 0.2, scale = 14), rgamma(200,                                                      shape = 32, scale = 10), rgamma(200, shape = 5, scale = 6)) gammamixem.out <- gammamixem(x, lambda = c(1, 1, 1)/3, verb = true)    mix.object <- gammamixem.out  k    <- ncol(mix.object$posterior) x    <- sort(mix.object$x)    <- hist(x, plot = false) maxy <- max(max(a$density), .3989*mix.object$lambda/mix.object$sigma)  main2 <- "density curves" xlab2 <- "data"  col2  <- 2:(k+1)   hist(x, prob = true, main = main2, xlab = xlab2,       ylim = c(0,maxy))   (i in 1:k) {   lines(x, mix.object$lambda[i] *            dnorm(x,                  sd = sd(x))) } 

enter image description here

i believe should pretty straight forward continue example bit, if want add labels, smooth lines, etc. here's source of plot.mixem function.


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