sys_PE: Calculate the Proclivity Entropy
In sysAgNPs: Systematic Quantification of AgNPs to Unleash their Potential for Applicability
sys_PE R Documentation
Calculate the Proclivity Entropy
Description
Measure the preference of feature categories.
Usage
sys_PE(data)
Arguments
data
A dataframe that contains experimental data.
Value
A dataframe including 1. the number of feature in a certain category; 2. the total number of features in the sample; 3. the expected value to measure the average description level across different feature categories.
Examples
data(dataset)
users_data <- dataset
PE = sys_PE(users_data)
sysAgNPs documentation built on April 4, 2025, 3:27 a.m.
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| sys_PE | R Documentation |
Calculate the Proclivity Entropy
Description
Measure the preference of feature categories.
Usage
sys_PE(data)
Arguments
data |
A dataframe that contains experimental data. |
Value
A dataframe including 1. the number of feature in a certain category; 2. the total number of features in the sample; 3. the expected value to measure the average description level across different feature categories.
Examples
data(dataset)
users_data <- dataset
PE = sys_PE(users_data)
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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