# numSummary: Summary Statistics for Numeric Variables In RcmdrMisc: R Commander Miscellaneous Functions

## Description

`numSummary` creates neatly formatted tables of means, standard deviations, coefficients of variation, skewness, kurtosis, and quantiles of numeric variables.

## Usage

 ```1 2 3 4 5 6 7 8``` ```numSummary(data, statistics=c("mean", "sd", "se(mean)", "IQR", "quantiles", "cv", "skewness", "kurtosis"), type=c("2", "1", "3"), 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"`, `"se(mean)"`, `"quantiles"`, `"cv"` (coefficient of variation — sd/mean), `"skewness"`, or `"kurtosis"`, defaulting to `c("mean", "sd", "quantiles", "IQR")`. `type` definition to use in computing skewness and kurtosis; see the `skewness` and `kurtosis` functions in the e1071 package. The default is `"2"`. `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.

## Author(s)

John Fox jfox@mcmaster.ca

`mean`, `sd`, `quantile`, `skewness`, `kurtosis`.

## Examples

 ```1 2 3 4 5 6 7 8``` ```if (require("car")){ data(Prestige) Prestige[1, "income"] <- NA print(numSummary(Prestige[,c("income", "education")], statistics=c("mean", "sd", "quantiles", "cv", "skewness", "kurtosis"))) print(numSummary(Prestige[,c("income", "education")], groups=Prestige\$type)) remove(Prestige) } ```

### Example output

```Loading required package: car
mean          sd        cv  skewness   kurtosis     0%      25%
income    6742.92079 4230.450564 0.6273914 2.2565718  7.2046866 611.00 4075.000
education   10.73804    2.728444 0.2540915 0.3345254 -0.9782158   6.38    8.445
50%       75%     100%   n NA
income    5902.00 8131.0000 25879.00 101  1
education   10.54   12.6475    15.97 102  0

Variable: income
mean       sd     IQR   0%     25%    50%      75%  100%  n NA
bc    5374.136 2004.330 2892.75 1656 3836.75 5216.5  6729.50  8895 44  0
prof 10499.733 5505.145 5687.50 4614 6516.75 8645.0 12204.25 25879 30  1
wc    5052.304 1944.325 3175.50 2448 3450.00 4741.0  6625.50  8780 23  0

Variable: education
mean        sd    IQR    0%    25%   50%     75%  100%  n NA
bc    8.359318 1.1648343 1.3525  6.38  7.570  8.35  8.9225 10.93 44  0
prof 14.084194 1.3940248 2.2100 11.09 12.940 14.44 15.1500 15.97 31  0
wc   11.021739 0.9233076 0.8850  9.17 10.575 11.13 11.4600 12.79 23  0
```

RcmdrMisc documentation built on Aug. 13, 2020, 9:06 a.m.