blindspiker (version 0.2.0)

plot_run: Plot Run Chart

Description

`plot_run()` produces a Run Chart of the selected analyte. The analyte is selected from the analyte set provided. Results are plotted with error bars (uncertainty with coverage factor of 2) when the result is greater than the detection level. On the ratio version, the uncertainties for the results and spike values are combined as the square root of the sums of the relative uncertainties squared. When original results are plotted, the spike values are shown with a small salmon-colored "+".

Usage

plot_run(
  select_analyte,
  dat = bs_df,
  version = "original",
  log = "n",
  removal_notification = "n"
)

Arguments

select_analyte

the selected analyte for this run chart

dat

data frame with all data needed as described in `bs_prep_and_analysis`. Default is `bs_df`.

version

The run chart is either shown with `original` units, default, or with the result shown as a `ratio` to the spike value.

log

Set log = "y" to make the y-axis a log scale - original version only. Default is "n".

removal_notification

provide a list of results, by sample_ID that were removed from the current run plot because results were less than or equal to zero.

@return run plot of laboratory analyses of spiked samples

Examples

example_spike_data <- system.file('extdata', 'spikevals.csv', package = 'blindspiker')
example_lab_data <- system.file('extdata', 'labvals.csv', package = 'blindspiker')
example_df <- bs_prep_and_analysis(spike_data = example_spike_data, lab_data = example_lab_data)
plot_run(select_analyte = 'unknownium', dat = example_df)