Description Usage Arguments Value See Also Examples
Returns a figure showing how conclusions could change over MOTU clustering thresholds. Nb this function assumes that all datasets analysed using metcalcs were generated with the exact same clustering thresholds
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input |
An input data frame, as output fully-formatted by the metcalcs function |
network |
The network column of the data frame |
clustering |
The clustering level column of the data frame |
metric |
The column of the data frame containing the metrics desired for analysis |
value |
The column of the data frame containing the values obtained for each metric |
plotname |
A title for the plot, defaults to none |
colour |
Should the plot be in colour? |
palette |
A palette of colours to plot |
x_lab |
The label to be used on the x-axis |
vertical_lines |
an integer or vector of integers stating where to locate vertical guide-lines on the plot |
Produces a simple plot showing which metrics are robust in your dataset to clustering-level effects
metcalcs
which this function visualises the output of
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