p_qq: Multiple Comparison QQ-plot
In UBC-MDS/ptoolkit: A toolkit for adjusting and visualizing p-values coming from multiple tests
Description
Usage
Arguments
Details
Value
Description
This function plots all the raw p-values and compares them with a theoretical uniform distribution using a
qq plot. This plot is created with a negative log scale, letting
us visualize all the p-values, independent of their small magnitudes. The p-values deviated from the diagonal line,
are the ones that are significant.
Usage
1
Arguments
data
(dataframe) dataframe containing at least a column of p-values to be adjusted
pv_index
(numeric) if the input is a dataframe, col refers to the column name of the dataframe that has the p-values
Details
Requirements: ggplot2
Value
ggplot a ggplot object with the qq plot.
UBC-MDS/ptoolkit documentation built on May 25, 2019, 1:36 p.m.
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Description Usage Arguments Details Value
Description
This function plots all the raw p-values and compares them with a theoretical uniform distribution using a qq plot. This plot is created with a negative log scale, letting us visualize all the p-values, independent of their small magnitudes. The p-values deviated from the diagonal line, are the ones that are significant.
Usage
1 |
Arguments
data |
(dataframe) dataframe containing at least a column of p-values to be adjusted |
pv_index |
(numeric) if the input is a dataframe, col refers to the column name of the dataframe that has the p-values |
Details
Requirements: ggplot2
Value
ggplot a ggplot object with the qq plot.
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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