simmr: quick start guide

In simmr: A Stable Isotope Mixing Model

Step 1: install simmr

Use:

install.packages("simmr")

then

library(simmr)

Step 2: load in the data

Some geese isotope data is included with this package. Find where it is with:

system.file("extdata", "geese_data.xls", package = "simmr")

Load into R with:

if (!requireNamespace("readxl", quietly = TRUE)) {
  stop("readxl needed for this vignette to work. Please install it.",
    call. = FALSE
  )
}

library(readxl)
path <- system.file("extdata", "geese_data.xls", package = "simmr")
geese_data <- lapply(excel_sheets(path), read_excel, path = path)

If you want to see what the original Excel sheet looks like you can run system(paste('open',path)).

We can now separate out the data into parts

targets <- geese_data[[1]]
sources <- geese_data[[2]]
TEFs <- geese_data[[3]]
concdep <- geese_data[[4]]

Note that if you don't have TEFs or concentration dependence you can set these all to the value 0 or just leave them blank in the step below.

Step 3: load the data into simmr

geese_simmr <- simmr_load(
  mixtures = targets[, 1:2],
  source_names = sources$Sources,
  source_means = sources[, 2:3],
  source_sds = sources[, 4:5],
  correction_means = TEFs[, 2:3],
  correction_sds = TEFs[, 4:5],
  concentration_means = concdep[, 2:3],
  group = as.factor(paste("Day", targets$Time))
)

Step 4: plot the data

plot(geese_simmr, group = 1:8)

Step 5: run through simmr and check convergence

geese_simmr_out <- simmr_mcmc(geese_simmr)
summary(geese_simmr_out,
  type = "diagnostics",
  group = 1
)

Check that the model fitted well:

posterior_predictive(geese_simmr_out, group = 5)

Step 6: look at the output

Look at the influence of the prior:

prior_viz(geese_simmr_out)

Look at the histogram of the dietary proportions:

plot(geese_simmr_out, type = "histogram")

compare_groups(geese_simmr_out,
  groups = 1:4,
  source_name = "Enteromorpha"
)

For the many more options available to run and analyse output, see the main vignette via vignette('simmr')

simmr documentation built on Nov. 2, 2023, 6:08 p.m.