cor.show: Correlogram plot
In patauchi/sdStaf: Species Distribution and Stability Future Models

Description Usage Arguments Details Value See Also Examples

View source: R/cor.show.R

Returns plot with correlation values among predicted variables.

1	cor.show(values, remove = FALSE, var.rm)

`values`	DataFrame-class.
`remove`	logical. If `TRUE`, allows remove some variables from imput data set. (`default = FALSE`)
`var.rm`	variables names of imput data set. Using `colnames(RasterStick)`, Where `RasterStick` is RasterStack* object.

Matrix based on Pearson correlation.

Correlogram plot

reduce.env

DFset <- data.frame(
var1 = c(1,2,3,2,3,2,3,2,3,2,3,4,3,4,4),
var2 = c(2,3,6,4,5,4,5,6,4,2,3,4,3,6,1),
var3 = c(5,4,3,4,5,4,5,6,5,6,2,3,4,5,3),
var4 = c(5,4,3,1,2,3,5,3,3,3,2,4,3,3,4),
var5 = c(5,2,5,1,1,2,4,1,2,3,3,4,1,2,5),
var6 = c(10,12,23,34,23,34,23,12,9,23,12,34,12,23,9))

cor.show(DFset)