plot.DTDAni: plot.DTDAni

In DTDA.ni: Doubly Truncated Data Analysis, Non Iterative

plot.DTDAni

Description

S3 method to plot a DTDAni object by using the generic plot function.

Usage

## S3 method for class 'DTDAni'
plot(x, ecdf = FALSE, ...)

Arguments

x	DTDAni object.
ecdf	Whether to display the ordinary empirical cumulative distribution function or not. Default = FALSE.
...	Aditional parameters.

Acknowledgements

• Jacobo de Uña-Álvarez was supported by Grant MTM2014-55966-P, Spanish Ministry of Economy and Competitiveness.

• José Carlos Soage was supported by Red Tecnológica de Matemática Industrial (Red TMATI), Cons. de Cultura, Educación e OU, Xunta de Galicia (ED341D R2016/051) and by Grupos de Referencia Competitiva, Consolidación y Estructuración de Unidades de Investigación Competitivas del SUG, Cons. de Cultura, Educación e OU, Xunta de Galicia (GRC ED431C 2016/040).

Author(s)

• de Uña-Álvarez, Jacobo.

• Soage González, José Carlos.

• Maintainer: José Carlos Soage González. [e-mail]

References

de Uña-Álvarez J. (2018) A Non-iterative Estimator for Interval Sampling and Doubly Truncated Data. In: Gil E., Gil E., Gil J., Gil M. (eds) The Mathematics of the Uncertain. Studies in Systems, Decision and Control, vol 142. Springer, Cham, pp. 387-400.

Examples

## Not run: 
N <- 250
x0 <- runif(N)             # Original data
u0 <- runif(N, -0.25, 0.5) # Left-truncation times
tau <- 0.75                # Interval width
v0 <- u0 + tau

x <- x0[u0 <= x0 & x0 <= v0]
u <- u0[u0 <= x0 & x0 <= v0]
v <- v0[u0 <= x0 & x0 <= v0]
n <- length(x)  # Final sample size after the interval sampling
res <- DTDAni(x, u , tau)
plot(res)
plot(res, ecdf = TRUE)

## End(Not run)

DTDA.ni documentation built on April 12, 2022, 9:05 a.m.