prevalence_plot: Plastic prevalence probability plot
In placer: PLastic ACcumulation Estimate using R (PLACER)

Description Usage Arguments See Also Examples

View source: R/plastic_prev_plots.R

Plot to show the plastic prevalence probability in seabird's nests as a function of different sample sizes and their corresponding confidence intervals.

1
2
3

prevalence_plot(prev_prob_mat, sample_sizes, lower_ci, upper_ci,
  xlab = "Sample size", ylab = "Plastic prevalence probability",
  colobs = "grey", colci = "#64B5F6")

`prev_prob_mat`	numeric matrix, containing plastic prevalence probability with dimensions (samples_size, bootstrap_replicates).
`sample_sizes`	numeric vector, containing sequence of sample size used to estimate the confidence intervals `plastic.ci`.
`lower_ci`	numeric vector, containing values for lower confidence interval and with the same length as `sample_sizes`.
`upper_ci`	numeric vector, containing values for upper confidence interval and with the same length as `sample_sizes`.
`xlab`	string, label of x axis.
`ylab`	string, label of y axis.
`colobs`	color of observations.
`colci`	color of confidence intervals.

plastic.ci, plastic.prev.prob

binomtest <- plastic.ci(rbinom(1000,1,0.5), 30, 100)
prevalence_plot(binomtest$prevprob,
                binomtest$cidtf$N,
                binomtest$cidtf$lower_ci,
                binomtest$cidtf$upper_ci)