DistrCollection-class: Class `DistrCollection`

R6 Class for Managing a Collection of Distribution Objects

See also

Distr, distribution, FitDistr

Public fields

distr

List of Distr objects.

Methods

Public methods

• DistrCollection$new()

• DistrCollection$add()

• DistrCollection$get()

• DistrCollection$print()

• DistrCollection$summary()

• DistrCollection$plot()

• DistrCollection$clone()

---

Method new()

Initialize the fields of the DistrCollection object.

Usage

DistrCollection$new()

---

Method add()

Add a Distr object to the collection.

Usage

DistrCollection$add(distr)

Arguments

distr

A Distr object to add to the collection.

---

Method get()

Get a Distr object from the collection by its index.

Usage

DistrCollection$get(i)

Arguments

i

Integer index of the Distr object to retrieve.

Returns

A Distr object.

---

Method print()

Print the summary of all distributions in the collection.

Usage

DistrCollection$print()

---

Method summary()

Summarize the goodness of fit for all distributions in the collection.

Usage

DistrCollection$summary()

Returns

A data frame with distribution names, Anderson-Darling test statistics, and p-values.

---

Method plot()

Plot all distributions in the collection.

Usage

DistrCollection$plot(
  xlab = NULL,
  ylab = NULL,
  xlim = NULL,
  ylim = NULL,
  line.col = "red",
  fill.col = "lightblue",
  border.col = "black",
  line.width = 1,
  box = TRUE
)

Arguments

xlab

Character string for the x-axis label.

ylab

Character string for the y-axis label.

xlim

Numeric vector specifying the x-axis limits.

ylim

Numeric vector specifying the y-axis limits.

line.col

Character string for the color of the plot line. Default is "red".

fill.col

Character string for the color of the histogram fill. Default is "lightblue".

border.col

Character string for the color of the histogram border. Default is "black".

line.width

Numeric value specifying the width of the plot line. Default is 1.

box

Logical value indicating whether to draw a box with the parameters in the plot. Default is TRUE.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

DistrCollection$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

set.seed(123)
data1 <- rnorm(100, mean = 5, sd = 2)
parameters1 <- list(mean = 5, sd = 2)
distr1 <- Distr$new(x = data1, name = "normal",
                    parameters = parameters1, sd = 2,
                    n = 100, loglik = -120)

data2 <- rpois(100, lambda = 3)
parameters2 <- list(lambda = 3)
distr2 <- Distr$new(x = data2, name = "poisson",
                    parameters = parameters2, sd = sqrt(3),
                    n = 100, loglik = -150)
collection <- DistrCollection$new()
collection$add(distr1)
collection$add(distr2)
collection$summary()
#> 
#> ------ Fitted Distribution and estimated parameters ------
#> 
#> fitted distribution is normal :
#> $mean
#> [1] 5
#> 
#> $sd
#> [1] 2
#> 
#> 
#> fitted distribution is poisson :
#> $lambda
#> [1] 3
#> 
#> 
#> 
#> ------ Goodness of Fit - Anderson Darling Test ------
#> 
#>   Distribution     A p.value
#> 1       normal 0.182  0.9104
#> 2      poisson 5.733      NA
collection$plot()