summarize | R Documentation |

Compute summary statistics for cells, either across layers or between layers (parallel summary).

The following summary methods are available for SpatRaster: `any, anyNA, all, allNA, max, min, mean, median, prod, range, stdev, sum, which.min, which.max`

. See `modal`

to compute the mode and `app`

to compute summary statistics that are not included here.

Because generic functions are used, the method applied is chosen based on the first argument: "`x`

". This means that if `r`

is a SpatRaster, `mean(r, 5)`

will work, but `mean(5, r)`

will not work.

The `mean`

method has an argument "trim" that is ignored.

If `pop=TRUE`

`stdev`

computes the population standard deviation, computed as:

`f <- function(x) sqrt(sum((x-mean(x))^2) / length(x))`

This is different than the sample standard deviation returned by `sd`

(which uses `n-1`

as denominator).

## S4 method for signature 'SpatRaster' min(x, ..., na.rm=FALSE) ## S4 method for signature 'SpatRaster' max(x, ..., na.rm=FALSE) ## S4 method for signature 'SpatRaster' range(x, ..., na.rm=FALSE) ## S4 method for signature 'SpatRaster' prod(x, ..., na.rm=FALSE) ## S4 method for signature 'SpatRaster' sum(x, ..., na.rm=FALSE) ## S4 method for signature 'SpatRaster' any(x, ..., na.rm=FALSE) ## S4 method for signature 'SpatRaster' all(x, ..., na.rm=FALSE) ## S4 method for signature 'SpatRaster' range(x, ..., na.rm=FALSE) ## S4 method for signature 'SpatRaster' which.min(x) ## S4 method for signature 'SpatRaster' which.max(x) ## S4 method for signature 'SpatRaster' stdev(x, ..., pop=TRUE, na.rm=FALSE) ## S4 method for signature 'SpatRaster' mean(x, ..., trim=NA, na.rm=FALSE) ## S4 method for signature 'SpatRaster' median(x, na.rm=FALSE, ...) ## S4 method for signature 'SpatRaster' anyNA(x) ## S4 method for signature 'SpatRaster' noNA(x, FNA=FALSE) ## S4 method for signature 'SpatRaster' allNA(x, FNA=FALSE)

`x` |
SpatRaster |

`...` |
additional SpatRaster objects or numeric values; and arguments |

`na.rm` |
logical. If |

`trim` |
ignored |

`pop` |
logical. If |

`FNA` |
logical. If |

SpatRaster

`app`

, `Math-methods`

, `modal`

, `which.lyr`

set.seed(0) r <- rast(nrows=10, ncols=10, nlyrs=3) values(r) <- runif(ncell(r) * nlyr(r)) x <- mean(r) # note how this returns one layer x <- sum(c(r, r[[2]]), 5) # and this returns three layers y <- sum(r, r[[2]], 5) max(r) max(r, 0.5) y <- stdev(r) # not the same as yy <- app(r, sd) z <- stdev(r, r*2) x <- mean(r, filename=paste0(tempfile(), ".tif"))

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