svyhist {survey} | R Documentation |

## 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 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.

### 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)

[Package

*survey* version 3.18

Index]