What is a reprex and why is it useful?
Identify the problem and make a plan
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Minimal Reproducible Data
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which is even more simplistic than the one before but still contains the
elements we are interested in–we have a set of “species” separated into
facets and we want to get rid of one of them. In reality, had we
realized that we needed to get rid of the rows with “sp.” in them, we
could have ignored the figure entirely and posed the question about the
data alone. E.g., “how do I remove rows that contain a specific name?”
Then give just the example dataset we created.
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Figure 6
That’s more like it! You can keep playing around with it or you can give
it more thought apriori, but either way you get the idea. While what we
get is not an exact replica, it’s an analogy. The important thing is
that we created a figure whose basic elements/structure or “key
features” remain intact–namely, the number and type of variables and
categories.
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