survey (version 3.9-1)

svyhist: Histograms and boxplots

Description

Histograms and boxplots weighted by the sampling weights.

Usage

svyhist(formula, design, breaks = "Sturges",
      include.lowest = TRUE, right = TRUE, xlab = NULL,
       main = NULL, probability = TRUE, freq = !probability, ...)
svyboxplot(formula,design,...)

Arguments

formula

One-sided formula for svyhist, two-sided for svyboxplot

design

A survey design object

xlab

x-axis label

main

Main title

probability,freq

Y-axis is probability density or frequency

breaks, include.lowest, right

As for hist

...

Other arguments to hist or bxp

Details

The histogram breakpoints are computed as if the sample were a simple random sample of the same size.

The boxplot whiskers go to the maximum and minimum observations or to 1.5 interquartile ranges beyond the end of the box, whichever is closer. The maximum and minimum are plotted as outliers if they are beyond the ends of the whiskers, but other outlying points are not plotted. This is likely to change in the future. svyboxplot requires a two-sided formula; use variable~1 for a single boxplot.

See Also

svyplot

Examples

data(api)
dstrat <- svydesign(id = ~1, strata = ~stype, weights = ~pw, data = apistrat, 
    fpc = ~fpc)
opar<-par(mfrow=c(1,3))
svyhist(~enroll, dstrat, main="Survey weighted",col="purple",ylim=c(0,1.3e-3))
hist(apistrat$enroll,  main="Sample unweighted",col="purple",prob=TRUE,ylim=c(0,1.3e-3))
hist(apipop$enroll,  main="Population",col="purple",prob=TRUE,ylim=c(0,1.3e-3))

par(mfrow=c(1,1))
svyboxplot(enroll~stype,dstrat)
svyboxplot(enroll~1,dstrat)
par(opar)

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