PlotHelpers {cheddar}

Plot helpers

Description

Functions that are useful for customising plots and for creating your own plot functions.

Usage

Log10BLabel(community, name = "italic(B)", units = with(CPS(community), 
            paste(M.units, "~", N.units)))
Log10MLabel(community, name = "italic(M)", units = CPS(community)$M.units)
Log10NLabel(community, name = "italic(N)", units = CPS(community)$N.units)

DefaultCategoryColours()
DefaultCategoryLabelColours()
DefaultCategorySymbols()
DefaultLinkColour()

PlaceMissingPoints(x, xlim, y, ylim)

LMabline(model, ...)
PlotLinearModels(models, colour.spec, col, ...)
FormatLM(model, slope.95.ci = FALSE, ci.plus.minus.style = FALSE, 
         r = FALSE, r.squared = TRUE, model.var.names = TRUE, dp = 2) 

Arguments

community

an object of class Community.

name

the name that appears in the label.

units

the units that appears in the label.

x

x values.

y

y values.

xlim

limits of the x axis.

ylim

limits of the y axis.

models

a list of lm objects to be plotted.

colour.spec

either NULL or a named vector that maps values of colour.by to plotting values; defaults to the vector returned by DefaultCategoryColours.

col

plot colours.

model

an lm object for which a textual description is assembled.

slope.95.ci

logical - if TRUE then the 95% confidence intervals are included in the description.

ci.plus.minus.style

logical - if TRUE then the 95% confidence intervals are shown by a ‘plus-minus’ sign. If FALSE then the confidence intervals are shown by an upper and lower bound.

r

logical - if TRUE then ‘r’ is included in the description.

r.squared

logical - if TRUE then ‘r squared’ is included in the description.

model.var.names

logical - if TRUE then the names of the dependent and independent variables fitted in the model are included in the description. If FALSE, the names ‘x’ and ‘y’ are used.

dp

the number of decimal places to which values are presented.

...

other values passed to plotting functions.

Author(s)

Lawrence Hudson

See Also

Community, DefaultCategoryColours, NvMLinearRegressions, LinearRegressionByClass, lm