my.acfplot: Custom autocorrelation plots
In lcomm/ltools: Helper Functions

Function to draw autocorrelation plots the way I like them – with huge lags because my chain mixing sucks.

1	my.acfplot(acfplot.vec, label = NULL, thin = 0, burn = 0, lag.max = 100)

`acfplot.vec`	Vector containing draws from the MCMC sampler
`label`	Parameter label and title for the plot. Default is no label.
`thin`	Amount of thinning applied to the plot. For example, if thin=3, then every third sample point will be plotted. The total number of iterations should be divisible by the thinning amount.
`burn`	Number of iterations for burn-in.
`lag.max`	Maximum lag for which to calculate autocorrelation. Defaults to 100.

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## Draw an autocorrelation plot for a random sample
my.samples = rnorm(10000, 5, 10)
my.acfplot(my.samples,label="Some title",thin=5,burn=1000,lag.max=30)