lowertriangle - rearrange dataset as the preparation of ggscatmat function

Source: R/ggscatmat.R

function for making the melted dataset used to plot the lowertriangle scatterplots.

lowertriangle(data, columns = 1:ncol(data), color = NULL)

Arguments

data

a data matrix. Should contain numerical (continuous) data.

columns

an option to choose the column to be used in the raw dataset. Defaults to 1:ncol(data)

color

an option to choose a factor variable to be grouped with. Defaults to (NULL)

Author

Mengjia Ni, Di Cook

Examples

data(flea)
head(lowertriangle(flea, columns = 2:4))
#>   xvalue yvalue xslot yslot  xlab  ylab
#> 1    191     NA     1     1 tars1 tars1
#> 2    185     NA     1     1 tars1 tars1
#> 3    200     NA     1     1 tars1 tars1
#> 4    173     NA     1     1 tars1 tars1
#> 5    171     NA     1     1 tars1 tars1
#> 6    160     NA     1     1 tars1 tars1
head(lowertriangle(flea))
#>   xvalue yvalue xslot yslot  xlab  ylab
#> 1    191     NA     1     1 tars1 tars1
#> 2    185     NA     1     1 tars1 tars1
#> 3    200     NA     1     1 tars1 tars1
#> 4    173     NA     1     1 tars1 tars1
#> 5    171     NA     1     1 tars1 tars1
#> 6    160     NA     1     1 tars1 tars1
head(lowertriangle(flea, color = "species"))
#>   xvalue yvalue xslot yslot  xlab  ylab colorcolumn
#> 1    191     NA     1     1 tars1 tars1    Concinna
#> 2    185     NA     1     1 tars1 tars1    Concinna
#> 3    200     NA     1     1 tars1 tars1    Concinna
#> 4    173     NA     1     1 tars1 tars1    Concinna
#> 5    171     NA     1     1 tars1 tars1    Concinna
#> 6    160     NA     1     1 tars1 tars1    Concinna