Learn R Programming

vegtable (version 0.1.3)

crosstable: Generating cross tables from database lists.

Description

This function is generating cross tables, which are the most common format used by statistical packages analysing vegetation data (e.g. vegan).

Usage

# S4 method for formula,data.frame
crosstable(formula, data, FUN, na_to_zero=FALSE,
	use_nas=TRUE, ...)

# S4 method for formula,vegtable crosstable(formula, data, FUN, na_to_zero=FALSE, use_nas=TRUE, ...) cross2db(object, layers=FALSE, na_strings)

Arguments

formula

A formula indicating the variables used in the cross table.

data

Either a data frame or an object of class '>vegtable.

FUN

Function used to aggregate values.

na_to_zero

A logical value indicating whether zeros should be inserted into empty cells or not.

use_nas

Logical value indicating whether NAs should be considered as levels for categorical variables or not.

...

Further arguments passed to the function aggregate.

object

A data frame including a cross table.

layers

Logical value, whether the cross table includes a layer column or not.

na_strings

Character vector indicating no records in the cross table.

Value

An object of class data.frame.

Details

Most applications and displays of vegetation data use preferentially the cross table format. For convenience, the formula has the form 'abundance ~ plot + species + …'. Additional variables used for rows () can be for instance the layers.

For objects of class '>vegtable, the formula can also include variables from the species list (for example 'AcceptedName', 'AuthorName') or even taxon traits.

Examples

Run this code
# NOT RUN {
library(vegtable)

## load Kenya_veg and subset to reference 2331 (Bronner 1990)
data(Kenya_veg)
Kenya_veg <- subset(Kenya_veg, REFERENCE == 2331, slot="header")

## transform cover to percentage
Kenya_veg <- transform(Kenya_veg, to="cover_perc", rule="middle")

## cross table of the first 5 plots
Cross <- crosstable(cover_perc ~ ReleveID + AcceptedName + AuthorName,
        Kenya_veg[1:5,], mean, na_to_zero=TRUE)
head(Cross)
# }

Run the code above in your browser using DataLab