Description Usage Arguments Value References Examples

View source: R/NNS_term_matrix.R

Generates a term matrix for text classification use in NNS.reg.

1 | ```
NNS.term.matrix(x, oos = NULL, names = FALSE)
``` |

`x` |
Text A two column dataset should be used. Concatenate text from original sources to comply with format. Also note the possiblity of factors in |

`oos` |
Out-of-sample text dataset to be classified. |

`names` |
Column names for |

Returns the text as independent variables `"IV"`

and the classification as the dependent variable `"DV"`

. Out-of-sample independent variables are returned with `"OOS"`

.

Viole, F. and Nawrocki, D. (2013) "Nonlinear Nonparametric Statistics: Using Partial Moments" http://amzn.com/1490523995

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
x<- data.frame(cbind(c("sunny","rainy"),c(1,-1)))
NNS.term.matrix(x)
### Concatenate Text with space seperator, cbind with "DV"
x<- data.frame(cbind(c("sunny","rainy"),c("windy","cloudy"),c(1,-1)))
x<- data.frame(cbind(paste(x[,1],x[,2],sep=" "),as.numeric(as.character(x[,3]))))
NNS.term.matrix(x)
### NYT Example
## Not run:
require(RTextTools)
data(NYTimes)
### Concatenate Columns 3 and 4 containing text, with column 5 as DV
NYT=data.frame(cbind(paste(NYTimes[,3],NYTimes[,4],sep = " "),
as.numeric(as.character(NYTimes[,5]))))
NNS.term.matrix(NYT)
## End(Not run)
``` |

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