plot: Plots

In wahani/saeRobustTools: Robust Small Area Estimation

Plots

Description

Various implementations of diagnostic plots. They are linked together using the plot generic function.

Usage

## S3 method for class 'rfh'
plot(x, y, ...)

## S3 method for class 'prediction.fitrfh'
plot(x, y, alpha = 0.05, ...)

## S3 method for class 'mse.fitrfh'
plot(x, y = "pseudo", xlim = NULL, ylim = NULL, ...)

qqPlot(sample)

blandAltmanPlot(x, y, alpha = 0.05)

Arguments

x	an object
y	for mse estimates a filter for the predictors; otherwise ignored
...	ignored
alpha	(numeric) between 0 and 1 - used in computation of confidence interval
xlim, ylim	arguments are passed to coord_cartesian and coord_flip.
sample	(numeric) a vector

Details

qqPlot a QQ-Plot using ggplot2

blandAltmanPlot a Bland-Altman plot. Solid line is the mean. Dashed lines are the upper and lower bound of the limits-of-aggreements: z-quantile * sd(x - y) – not the standard error. The alpha level can be set using alpha. This plot is otherwise known as Tukey's mean-difference plot.

Examples

qqPlot(rnorm(10))
blandAltmanPlot(rnorm(10), rnorm(10))

wahani/saeRobustTools documentation built on March 16, 2024, 11:29 a.m.