data.NaiveBayes {cleanUpdTSeq} | R Documentation

## Training Data

### Description

A RData containing negative and positive training data

### Usage

    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:

list("Negative")

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

list("Positive")

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

Both of them have same structure.

list("y")

  a numeric vector

list("n.A.Downstream")

  a numeric vector

list("n.C.Downstream")

  a numeric vector

list("n.T.Downstream")

  a numeric vector

list("n.G.Downstream")

  a numeric vector

list("avg.distanceA2PeakEnd")

  a numeric vector

list("dimer")

  a numeric vector

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

  a numeric vector

list("heximer")

  a factor with levels `0` `1`

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

  a factor with levels `0` `1`

list("upstream.seq")

  a vector of sequence string

list("downstream.seq")

  a vector of sequence string

### Examples

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

[Package cleanUpdTSeq version 1.30.0 Index]