pvalnum: Make sure _p_-values are numeric
In micompr: Multivariate Independent Comparison of Observations
pvalnum R Documentation
Make sure p-values are numeric
Description
Make sure p-values are numeric. Non-numeric values (e.g., "<0.001")
are converted to zero.
Usage
pvalnum(pvals)
Arguments
pvals
Vector of p-values which might not be fully numeric.
Value
A vector of fully numeric p-values.
Examples
micompr:::pvalnum(c("0.06", "0.9", "<0.0001", "0.3"))
# [1] 0.06 0.90 0.00 0.30
micompr documentation built on June 29, 2025, 1:08 a.m.
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| pvalnum | R Documentation |
Make sure p-values are numeric
Description
Make sure p-values are numeric. Non-numeric values (e.g., "<0.001") are converted to zero.
Usage
pvalnum(pvals)
Arguments
pvals |
Vector of p-values which might not be fully numeric. |
Value
A vector of fully numeric p-values.
Examples
micompr:::pvalnum(c("0.06", "0.9", "<0.0001", "0.3"))
# [1] 0.06 0.90 0.00 0.30
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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