pair: Transform Continuous Variables into Ranked Binary Pairs

In ranktreeEnsemble: Ensemble Models of Rank-Based Trees with Extracted Decision Rules

Transform Continuous Variables into Ranked Binary Pairs

Description

The function transforms a dataset with p continuous predictors into \frac{p*(p-1)}{2} binary predictors of ranked pairs

Usage

pair(data, yvar.name = NULL)

Arguments

data	A dataset with p continuous variables or with p+1 variables including a dependent variable.
yvar.name	The column name of the independent variable in data. By default, there is no dependent variable.

Value

A data frame with the transformed data. The dependent variable is moved to the last column of the data.

Note

The function is efficiently coded in C++.

Author(s)

Ruijie Yin (Maintainer,<[e-mail]>), Chen Ye and Min Lu

References

Lu M. Yin R. and Chen X.S. Ensemble Methods of Rank-Based Trees for Single Sample Classification with Gene Expression Profiles. Journal of Translational Medicine. 22, 140 (2024). doi: 10.1186/s12967-024-04940-2

Examples

data(tnbc)
datp <- pair(tnbc[101:105,c(1:5,337)],"subtype")
datp
datp <- pair(tnbc[105:110,1:5])
datp

ranktreeEnsemble documentation built on May 29, 2024, 5:05 a.m.