plotrsr: Plot of response surface regression for different quantile

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/plotrsr.R

Description

It produces a single plot of response surface regression for different quantile values.

Usage

1
plotrsr(n = 20:50, q = c(90, 95),...)

Arguments

n

Sequence of series size for the plot

q

Vector or single quantile value

...

Further arguments for function lines()

Value

Plot of RSR

Author(s)

M. S. Islam

References

MacKinnon, J. G. (2002). Computing numerical distribution functions in econometrics. In proceedings of High Performance Computing Systems and Applications, edited by Pollard, A., Mewhort, D. J. and Weaver, D. F. Springer US. Vol. 451, 455-471.

See Also

pvalrsr

Examples

1
2
3
4
5
# Plot for 75%, 90% and 95% quantiles.
plotrsr(n=10:50, q=c(75,90,95))
# Plot for 80%, 90%, 95% and 99% quantiles.
# We use color red and dashed line
plotrsr(n=10:50, q=c(80,90,95, 99), col=2, lty=3)

pRSR documentation built on May 2, 2019, 12:09 a.m.