visualization_t_mixture: Visualization of the results from a t mixture distribution

In sp2019-antibiotics/Team-Student: T-Mixture

Description

Visualization of the results from a t mixture distribution

Usage

visualization.t.mixture(n, j, pi, mu, s, df, ecoff=NULL, kernel.density=TRUE, hist=TRUE, new.plot=hist, pi_resistant=0)

Arguments

n	Frequencies (integer vector of length J)
j	Possible values (numeric vector of length J)
pi	Mixture proportions (numeric vector of length K > 0; sum(pi) = 1, entries non-negative)
mu	Component medians (numeric vector of lentgh K)
s	Component sigma's (numeric vector of lentgh K; entries positive)
df	Component degrees of freedom (numeric vector of lentgh K; entries positive)
ecoff	Should ECOFF be plotted as well? (booelan scalar)
kernel.density	Should the kernel density be plotted?
hist	Plots a histogram
new.plot	Which type should be plotted
pi_resistant	Proportion of resistant observations (numerical scalar within (0, 1))

Value

None (only plots)

Author(s)

Lisa Allmesberger Fabian Bergs Stefan Immler Michael Kässmann

See Also

dt.mixture, ECOFF.t.mixture

sp2019-antibiotics/Team-Student documentation built on Nov. 5, 2019, 9:13 a.m.