discrete_pvalue: Convert continuous p-values into a factor based on the given...
In lwjohnst86/ggepi: ggplot2 Extensions for Visualizing Epidemiological Analyses (Chronic Diseases)
Description
Usage
Arguments
Value
Examples
Description
Convert continuous p-values into a factor based on the given split.
Usage
1
discrete_pvalue(p.value, split_by = c(0.001, 0.01, 0.05))
Arguments
p.value
Vector of p-values.
split_by
Where to split the p-values up by. Default is the <0.001,
<0.01, <0.05, and all others are >0.05.
Value
A factor vector of p-value splits.
Examples
1
2
3
4
5
6
pvals <- c(0.001, 0.0123, 0.123, 0.009, 0.2145, 0.987, 0.05, 0.049, 0.051)
discrete_pvalue(pvals)
discrete_pvalue(pvals, split_by = c(0.05))
discrete_pvalue(pvals, split_by = c(0.01))
discrete_pvalue(pvals, split_by = c(0.01, 0.05))
discrete_pvalue(pvals, split_by = c(0.05, 0.001, 0.01))
lwjohnst86/ggepi documentation built on May 13, 2019, 3:07 a.m.
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Description Usage Arguments Value Examples
Description
Convert continuous p-values into a factor based on the given split.
Usage
1 | discrete_pvalue(p.value, split_by = c(0.001, 0.01, 0.05))
|
Arguments
p.value |
Vector of p-values. |
split_by |
Where to split the p-values up by. Default is the <0.001, <0.01, <0.05, and all others are >0.05. |
Value
A factor vector of p-value splits.
Examples
1 2 3 4 5 6 | pvals <- c(0.001, 0.0123, 0.123, 0.009, 0.2145, 0.987, 0.05, 0.049, 0.051)
discrete_pvalue(pvals)
discrete_pvalue(pvals, split_by = c(0.05))
discrete_pvalue(pvals, split_by = c(0.01))
discrete_pvalue(pvals, split_by = c(0.01, 0.05))
discrete_pvalue(pvals, split_by = c(0.05, 0.001, 0.01))
|
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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