loadDsFeatFreqsFromCsv2: DsFeatFreqComp – Dataset Feature-Frequency Comparison...
In gurol/DsFeatFreqComp: Dataset Feature-Frequency Comparison
Description
Usage
Arguments
Value
Author(s)
References
View source: R/DsManipulation.R
Description
Various dataset manipulation functions used in dataset comparison
load dataset feature frequencies from a CSV file
Read a CSV (comma seperated values) file having dataset feature frequencies
into a dataframe and return it.
CSV file should have the following columns and rows:
Feature_Name | DSA | DS0 | DS1 | ... | DSN
ABC | 0.1 | 0.3 | 0.999 | 0.76 | ... | 0.444
...
Usage
1
loadDsFeatFreqsFromCsv2(workbook, seperator = ";")
Arguments
workbook
CSV file path
seperator
Seperator character (default: ';')
Value
data frame having feature name in the first column and feature freq-
uencies for each datasets in subsequent columns (DSi)
Author(s)
Gürol Canbek, <gurol44@gmail.com>
References
G. Canbek et al. (2018) Gaining New Insight in Datasets via Multiple Binary-Feature Frequency Ranks with A Benign/Malign Mobile Apps Example, Journal of Machine Learning Research (JMLR) (Submitted)
(Publications by Gurol Canbek)
gurol/DsFeatFreqComp documentation built on Dec. 30, 2020, 3:36 p.m.
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Description Usage Arguments Value Author(s) References
View source: R/DsManipulation.R
Description
Various dataset manipulation functions used in dataset comparison load dataset feature frequencies from a CSV file
Read a CSV (comma seperated values) file having dataset feature frequencies into a dataframe and return it.
CSV file should have the following columns and rows: Feature_Name | DSA | DS0 | DS1 | ... | DSN ABC | 0.1 | 0.3 | 0.999 | 0.76 | ... | 0.444 ...
Usage
1 | loadDsFeatFreqsFromCsv2(workbook, seperator = ";")
|
Arguments
workbook |
CSV file path |
seperator |
Seperator character (default: ';') |
Value
data frame having feature name in the first column and feature freq- uencies for each datasets in subsequent columns (DSi)
Author(s)
Gürol Canbek, <gurol44@gmail.com>
References
G. Canbek et al. (2018) Gaining New Insight in Datasets via Multiple Binary-Feature Frequency Ranks with A Benign/Malign Mobile Apps Example, Journal of Machine Learning Research (JMLR) (Submitted) (Publications by Gurol Canbek)
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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