signalRank: Sorting features based on effect size
In msxakk89/dat: Data Analyst Toolkit (dat): a library of tools for data analysts and scientists
Description
This function ranks features with biggest effect sizes to those with lowest effect sizes based on mean(condA) - mean(condB)
It returns data frame (df) where features are ordered by effect size
Usage
1
signalRank(df, cond)
Arguments
df
A data frame
cond
A vector of 0s and 1s explaining which columns belong to the first (0) and second condition (1)
msxakk89/dat documentation built on Aug. 3, 2020, 6:39 p.m.
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.
Description
This function ranks features with biggest effect sizes to those with lowest effect sizes based on mean(condA) - mean(condB) It returns data frame (df) where features are ordered by effect size
Usage
1 | signalRank(df, cond)
|
Arguments
df |
A data frame |
cond |
A vector of 0s and 1s explaining which columns belong to the first (0) and second condition (1) |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.