RsquareAdj {vegan} | R Documentation |

## Adjusted R-square

### Description

The functions finds the adjusted R-square.

### Usage

## Default S3 method:
RsquareAdj(x, n, m, ...)
## S3 method for class 'rda':
RsquareAdj(x, ...)

### Arguments

`x` |
Unadjusted R-squared or an object from which the terms for
evaluation or adjusted R-squared can be found. |

`n, m` |
Number of observations and number of degrees of freedom
in the fitted model. |

`...` |
Other arguments (ignored). |

### Details

The default method finds the adjusted
R-squared from the unadjusted R-squared, number of observations, and
number of degrees of freedom in the fitted model. The specific
methods find this information from the fitted result
object. There are specific methods for `rda`

,
`cca`

, `lm`

and `glm`

. Adjusted,
or even unadjusted, R-squared may not be available in some cases,
and then the functions will return `NA`

. There is no adjusted
R-squared in `cca`

, in partial `rda`

, and
R-squared values are available only for `gaussian`

models in `glm`

.

### Value

The functions return a list of items `r.squared`

and
`adj.r.squared`

.

### References

Peres-Neto, P., P. Legendre, S. Dray and D. Borcard. 2006. Variation
partitioning of species data matrices: estimation and comparison of
fractions. *Ecology* 87: 2614-2625.

### See Also

`varpart`

uses `RsquareAdj`

.

### Examples

data(mite)
data(mite.env)
## rda
m <- rda(decostand(mite, "hell") ~ ., mite.env)
RsquareAdj(m)
## default method
RsquareAdj(0.8, 20, 5)

[Package

*vegan* version 1.16-32

Index]