draw_scatter_plots: draw_scatter_plots
In selfea: Select Features Reliably with Cohen's Effect Sizes
Description
Usage
Arguments
Value
Description
Draw a scatterplot to show how significant IDs are distinguished from the total
Usage
1
2
draw_scatter_plots(input_data_frame, max_pvalue, min_ES, power_desired, x_label,
y_label)
Arguments
input_data_frame
A data frame that consists of 'x' (P-value), 'y' (Effect size),'cat' (significant or not).
max_pvalue
P-value threshold
min_ES
Effect size filter threshold
power_desired
Give the statistical power you desired for output significant list
x_label
Label of X axis
y_label
Label of y axis
Value
A scatter plot
selfea documentation built on May 2, 2019, 5:08 a.m.
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Description Usage Arguments Value
Description
Draw a scatterplot to show how significant IDs are distinguished from the total
Usage
1 2 | draw_scatter_plots(input_data_frame, max_pvalue, min_ES, power_desired, x_label,
y_label)
|
Arguments
input_data_frame |
A data frame that consists of 'x' (P-value), 'y' (Effect size),'cat' (significant or not). |
max_pvalue |
P-value threshold |
min_ES |
Effect size filter threshold |
power_desired |
Give the statistical power you desired for output significant list |
x_label |
Label of X axis |
y_label |
Label of y axis |
Value
A scatter 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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