| svyhist {survey} | R Documentation |
Histograms and boxplots weighted by the sampling weights.
svyhist(formula, design, breaks = "Sturges",
include.lowest = TRUE, right = TRUE, xlab = NULL,
main = NULL, probability = TRUE, freq = !probability, ...)
svyboxplot(formula, design,...)
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 |
The histogram breakpoints are computed as if the sample were a simple random sample of the same size.
The grouping variable in svyboxplot, if present, must be a factor.
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 may change in the future. svyboxplot
requires a two-sided formula; use variable~1 for a single boxplot.
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)