| rv_ratio_histogram {ROOPSD} | R Documentation |
rv_ratio_histogram
Description
rv_ratio_histogram distribution in OOP way.
Details
Fit separatly P( X < x | X > 0 ) and P(X=0)
Public fields
rvXp[ROOPSD::rv_histogram] Describes P(X < x | X > x0)
x0[double] location of mass: P( X = x0 )
p0[double] p0 = P( X = x0 )
Methods
Public methods
Method new()
Create a new rv_ratio_histogram object.
Usage
rv_ratio_histogram$new(...)
Arguments
...If a param 'Y' and 'x0' is given, the fit method is called with '...'.
Returns
A new 'rv_ratio_histogram' object.
Method rvs()
Generation sample from the histogram
Usage
rv_ratio_histogram$rvs(n)
Arguments
n[integer] Number of samples drawn
Returns
A vector of samples
Method cdf()
Cumulative Distribution Function
Usage
rv_ratio_histogram$cdf(q)
Arguments
q[vector] Quantiles to compute the CDF
Returns
cdf values
Method icdf()
Inverse of Cumulative Distribution Function
Usage
rv_ratio_histogram$icdf(p)
Arguments
p[vector] Probabilities to compute the CDF
Returns
icdf values
Method sf()
Survival Function
Usage
rv_ratio_histogram$sf(q)
Arguments
q[vector] Quantiles to compute the SF
Returns
sf values
Method isf()
Inverse of Survival Function
Usage
rv_ratio_histogram$isf(p)
Arguments
p[vector] Probabilities to compute the SF
Returns
isf values
Method fit()
Fit method for the histograms
Usage
rv_ratio_histogram$fit(Y, x0, bins = as.integer(100))
Arguments
Y[vector] Dataset to infer the histogram
x0[double] Location of mass point
bins[vector or integer] bins values
Returns
'self'
Method clone()
The objects of this class are cloneable with this method.
Usage
rv_ratio_histogram$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
## Generate sample
X = numeric(10000)
X[1:2000] = 0
X[2001:10000] = stats::rexp( n = 8000 , rate = 1 )
## And fit it
rvX = rv_ratio_histogram$new()
rvX$fit( X , x0 = 0 )