check_outliers: Inspecting Pb isotope ratio replicates.
In andreabz/pbratios: Processing Pb isotope ratio data

Description Usage Arguments Value See Also Examples

The function provides visual inspection of raw Pb isotope ratio replicates for each sample. Possible outliers can be easily identified.

1	check_outliers(data, idname)

`data`	A data.table produced by the function `extract.data`. The dataset should contain a `sample` column with sample names, `Pb20x` columns (x = 6, 7, 8) with the measured intensities for each isotope, `Pb20x20y` columns storing 20xPb/20yPb raw isotope ratios (x, y = 6, 7, 8).
`idname`	A string identical to a sample name. (i.e. `"P40 I5"`).

The function returns a list containing

intensities Raw intensities for the monitored isotopes.
ratios Raw Pb isotope ratios with flag = TRUE if the value falls outside the median ± 2.5 mad range.

Additionally, the function returns a plot with a panel for each Pb isotope ratio showing data points for each replicates. The green line is the median, yellow lines represent median ± 2 mad and red lines median ± 3 mad. Values inside the median ± 2.5 mad range are represented as points, possible outliers as *.

calc_ratios

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file.long <- system.file("extdata", "spmnya_2012.csv", package = "pbratios")
spmnya.2012 <- extract_data(file.long, report = "long")
check_outliers(spmnya.2012, "II.B.50m")