View source: R/plot_proteomics.R
plot_peprophet_data | R Documentation |
extract_peprophet_data() provides a ridiculously large data table of a comet result after processing by RefreshParser and xinteract/peptideProphet. This table has some 37-ish columns and I am not entirely certain which ones are useful as diagnostics of the data. I chose a few and made options to pull some/most of the rest. Lets play!
plot_peprophet_data(
table,
xaxis = "precursor_neutral_mass",
xscale = NULL,
yaxis = "num_matched_ions",
yscale = NULL,
size_column = "prophet_probability",
...
)
table |
Big honking data table from extract_peprophet_data() |
xaxis |
Column to plot on the x-axis |
xscale |
Change the scale of the x-axis? |
yaxis |
guess! |
yscale |
Change the scale of the y-axis? |
size_column |
Use a column for scaling the sizes of dots in the plot? |
... |
extra options which may be used for plotting. |
a plot!
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