# numSummary

From Rcmdr v1.5-6
by John Fox

##### Mean, Standard Deviation, and Quantiles for Numeric Variables

`numSummary`

creates neatly formatted tables of means, standard deviations, and quantiles of numeric variables.

- Keywords
- misc

##### Usage

```
numSummary(data, statistics=c("mean", "sd", "quantiles"),
quantiles=c(0, .25, .5, .75, 1), groups)
## S3 method for class 'numSummary':
print(x, ...)
```

##### Arguments

- data
- a numeric vector, matrix, or data frame.
- statistics
- any of
`"mean"`

,`"sd"`

, or`"quantiles"`

, defaulting to all three. - quantiles
- quantiles to report; default is
`c(0, 0.25, 0.5, 0.75, 1)`

. - groups
- optional variable, typically a factor, to be used to partition the data.
- x
- object of class
`"numSummary"`

to print. - ...
- arguments to pass down from the print method.

##### Value

`numSummary`

returns an object of class`"numSummary"`

containing the table of statistics to be reported along with information on missing data, if there are any.

##### See Also

##### Examples

```
library(car)
Prestige[1, "income"] <- NA
numSummary(Prestige[,c("income", "education")])
numSummary(Prestige[,c("income", "education")], groups=Prestige$type)
remove(Prestige)
```

*Documentation reproduced from package Rcmdr, version 1.5-6, License: GPL (>= 2)*

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