RsquareAdj | R Documentation |

The functions finds the adjusted R-square.

## Default S3 method: RsquareAdj(x, n, m, ...) ## S3 method for class 'rda' RsquareAdj(x, ...) ## S3 method for class 'cca' RsquareAdj(x, permutations = 1000, ...)

`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. |

`permutations` |
Number of permutations to use when computing the adjusted
R-squared for a cca. The permutations can be calculated in parallel by
specifying the number of cores which is passed to |

`...` |
Other arguments (ignored) except in the case of cca in
which these arguments are passed to |

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

models in
`glm`

.

The adjusted, *R-squared* of `cca`

is computed using a
permutation approach developed by Peres-Neto et al. (2006). By
default 1000 permutations are used.

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

and
`adj.r.squared`

.

Legendre, P., Oksanen, J. and ter Braak, C.J.F. (2011). Testing the
significance of canonical axes in redundancy analysis.
*Methods in Ecology and Evolution* 2, 269–277.

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.

`varpart`

uses `RsquareAdj`

.

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

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