# summary

`summary.Rd`

Compute summary statistics (min, max, mean, and quartiles) for SpatRaster using base `summary`

method. A sample is used for very large files.

For single or other statistics see `Summary-methods`

, `global`

, and `quantile`

## Usage

```
# S4 method for class 'SpatRaster'
summary(object, size=100000, warn=TRUE, ...)
# S4 method for class 'SpatVector'
summary(object, ...)
```

## Arguments

- object
SpatRaster or SpatVector

- size
positive integer. Size of a regular sample used for large datasets (see

`spatSample`

)- warn
logical. If

`TRUE`

a warning is given if a sample is used- ...
additional arguments passed on to the base

`summary method`

## Value

matrix with (an estimate of) the median, minimum and maximum values, the first and third quartiles, and the number of cells with `NA`

values

## Examples

```
set.seed(0)
r <- rast(nrows=10, ncols=10, nlyrs=3)
values(r) <- runif(nlyr(r)*ncell(r))
summary(r)
#> lyr.1 lyr.2 lyr.3
#> Min. :0.01339 Min. :0.01308 Min. :0.02779
#> 1st Qu.:0.32308 1st Qu.:0.28440 1st Qu.:0.18947
#> Median :0.48781 Median :0.51860 Median :0.37810
#> Mean :0.52076 Mean :0.51569 Mean :0.43403
#> 3rd Qu.:0.77171 3rd Qu.:0.72570 3rd Qu.:0.63596
#> Max. :0.99191 Max. :0.99268 Max. :0.98156
```