epi.descriptives {epiR} R Documentation

## Descriptive statistics

### Description

Computes descriptive statistics from a vector.

### Usage

```epi.descriptives(dat, conf.level = 0.95)
```

### Arguments

 `dat` vector for which descriptive statistics will be calculated. `conf.level` magnitude of the returned confidence intervals. Must be a single number between 0 and 1.

### Value

A list containing the following:

 `arithmetic` `n` number of observations, `mean` arithmetic mean, `sd` arithmetic standard deviation, `q25` 25th quantile, `q50` 50th quantile, `q75` 75th quantile, `lower` lower bound of the confidence interval, `upper` upper bound of the confidence interval, `min` minimum value, `max` maximum value, and `na` number of missing values. `geometric` `n` number of observations, `mean` geometric mean, `sd` geometric standard deviation, `q25` 25th quantile, `q50` 50th quantile, `q75` 75th quantile, `lower` lower bound of the confidence interval, `upper` upper bound of the confidence interval, `min` minimum value, `max` maximum value, and `na` number of missing values. `symmetry` `skewness` and `kurtosis`.

### Examples

```## EXAMPLE 1:
## Generate some data:
id <- 1:100
n <- rnorm(100, mean = 0, sd = 1)
dat.df01 <- data.frame(id, n)