cocorresp-internal: Internal cocorresp Functions In cocorresp: Co-correspondence analysis methods

Description

Internal cocorresp functions.

`predcoca.simpls`, `predcoca.eigen` and `symcoca` perform the actual fitting of Co-CA models.

Usage

 ```1 2 3 4 5 6``` ```predcoca.eigen(y, x, R0 = NULL, n.axes = NULL, nam.dat = NULL) predcoca.simpls(y, x, R0 = NULL, n.axes = NULL, nam.dat = NULL) symcoca(y, x, n.axes = NULL, R0 = NULL, symmetric = FALSE, nam.dat = NULL) ```

Arguments

 `y` a data frame containing the response community data matrix. `x` a data frame containing the predictor community data matrix. `R0` a vector of length `nrow(y)` of user supplied weights for R_0. If `weights = NULL` (default) then the weights are determined from `y` (default) or `x` and `y` (`symmetric = TRUE` only). `n.axes` the number of CoCA axes to extract. If missing (default) the `n.axes` is min(ncol(y), ncol(x), nrow(y), nrow(x)) - 1. `symmetric` if `method` is `"symmetric"` then `symmetric` determines whether weights for R_0 are symmetric and taken as the average of the row sums of `x` and `y` (`symmetric = TRUE`). If `symmetric = FALSE` (default) then the weights R_0 are taken as the row sums of `y` unless user defined weights are provided via argument `weights`. Ignored if `method` is `"predictive"`. `nam.dat` an optional list with elements `namY` and `namX` containing the names of `y` and `x` respectively. Used to label printed output. If missing the names of are deduced from `y` and `x`. `Y` a matrix for which standardised chi-square residuals are to be calculated. `eps` tolerance - leave as default.

Details

These are not to be called by the user.

`predcoca.simpls`, `predcoca.eigen` and `symcoca` perform the actual model fitting but are not meant to be called by the user as `coca` pre-processes the input data before calling these functions.

cocorresp documentation built on May 31, 2017, 2:59 a.m.