pval2lab: Creator of significance labels
In keimochizuki/htb: Read and Analyze Neural Activities Acquired by TEMPO System
pval2lab R Documentation
Creator of significance labels
Description
Creates significance labelings from p values.
Usage
pval2lab(p)
Arguments
p
Numerics. Raw p values.
Details
In data visualization, traditional combination of symbols
such as ** or +
are used to present statistical significance.
When denoting the p values themselves,
there also is a labeling tradition
like "p < .05" or "p = .82".
pval2lab() creates these labelings from raw p values
which are then used for data plotting.
Value
Numerics.
Labels for given p values.
Extract and use base::names() of the returning vector for
symbol labeling such as ** or +.
Examples
p <- c(0.9, 0.0777, 0.04, 0.009, 0.00002)
pval2lab(p)
keimochizuki/htb documentation built on June 9, 2025, 10:03 p.m.
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| pval2lab | R Documentation |
Creator of significance labels
Description
Creates significance labelings from p values.
Usage
pval2lab(p)
Arguments
p |
Numerics. Raw p values. |
Details
In data visualization, traditional combination of symbols
such as ** or +
are used to present statistical significance.
When denoting the p values themselves,
there also is a labeling tradition
like "p < .05" or "p = .82".
pval2lab() creates these labelings from raw p values
which are then used for data plotting.
Value
Numerics.
Labels for given p values.
Extract and use base::names() of the returning vector for
symbol labeling such as ** or +.
Examples
p <- c(0.9, 0.0777, 0.04, 0.009, 0.00002)
pval2lab(p)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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