data.NaiveBayes {cleanUpdTSeq} | R Documentation

## Training Data

### Description

This is the negative and positive training data.

### Usage

    data(data.NaiveBayes)

### Format

A list with 2 data frame, "Negative" and "Positive". Negative has 9219 observations on the following 4120 variables. And Positive is a data frame with 22770 observations on the following 4120 variables. The format is:

`Negative`

  'data.frame': 9219 obs. of 4120 variables:

`Positive`

  'data.frame': 22770 obs. of 4120 variables:

Both of them have same structure.

`y`

  a numeric vector

`n.A.Downstream`

  a numeric vector

`n.C.Downstream`

  a numeric vector

`n.T.Downstream`

  a numeric vector

`n.G.Downstream`

  a numeric vector

`avg.distanceA2PeakEnd`

  a numeric vector

`dimer`: such as AA, AC, AG, AT, CA, ... etc.

  a numeric vector

`heximer`: such as AAAAAA, ACGTAC, ... etc.

  a factor with levels `0` `1`

`upstream.seq`

  a vector of sequence string

`downstream.seq`

  a vector of sequence string

### Examples

    data(data.NaiveBayes)
    head(str(data.NaiveBayes$Negative))
    head(str(data.NaiveBayes$Positive))

[Package cleanUpdTSeq version 1.26.0 Index]