remix_2DPI: Isospace plots of model predicted consumer isotope ratios
In cbrown5/remixsiar: Post-processing of stable isotope mixing models

Description Usage Arguments Details Value Author(s)

Plotting the consumer's isotope values against those predicted by the model can be useful to detect model bias, or instance when consumers fall outside the source polygon.

remix_2DPI(x2, simmr_in, groups = NULL, tracerpairs = NULL, nxvals = 200,
  xlab = colnames(simmr_in$mixtures)[1],
  ylab = colnames(simmr_in$mixtures)[2], prob = c(0.05, 0.25),
  xlims = NULL, ylims = NULL, plotCI = TRUE)

`x2`	A `remix_simdata` object.
`simmr_in`	A `simmr_input` object.
`groups`	A `numeric` with the groups to plot if they are used, otherwise `NULL`.
`tracerpairs`	A two row `matrix` were columns are the tracer pairs you want to plot.
`nxvals`	A `numeric` giving the number of intervals on the x and y axes.
`xlab`	A `character` the x-axis label
`ylab`	A `character` the y-axis label
`prob`	A `numeric` vector giving the probability intervals to plot.
`xlims`	A `numeric` pair giving the x-axis limits
`ylims`	A `numeric` pair giving the y-axis limits
`plotCI`	A `logical` which determines whether credibility interavls are plotted in addition to the predictive intervals.

Plots the output of remix_simdata on two axes. remix_2DPI also plots predictive intervals at the given level, which are spaces where the consumer isotope ratios have a 95 falling. Optionally can also plot 95 intervals, which indicate a 95 Model bias is indicated by consumer data that fall outside the predictive intervals. Bias may occur, among other things due to missed sources or incorrect fractionation estimates.

Plots of the tracer pairs with predicted isotope values of consumers.

Christopher J. Brown

cbrown5/remixsiar documentation built on April 26, 2020, 12:40 a.m.