p_plot: P-value Summary Plot
In UBC-MDS/ptoolkit: A toolkit for adjusting and visualizing p-values coming from multiple tests
Description
Usage
Arguments
Value
Description
This function plots all the p-values in ascending order and compares them with two lines, one representing the BH cutoff point and another one the Bonferroni cutoff.
Usage
1
Arguments
data
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
alpha
(numeric) significance level for both methods
Value
ggplot dataframe output from the p_methods function
UBC-MDS/ptoolkit documentation built on May 25, 2019, 1:36 p.m.
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Description Usage Arguments Value
Description
This function plots all the p-values in ascending order and compares them with two lines, one representing the BH cutoff point and another one the Bonferroni cutoff.
Usage
1 |
Arguments
data |
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 |
alpha |
(numeric) significance level for both methods |
Value
ggplot dataframe output from the p_methods function
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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