tf2doc: Transform Terms and Frequencies into a Text

In chinese.misc: Miscellaneous Tools for Chinese Text Mining and More

Description

This function is simply a wrapper of rep, but allows different structures of input. For rewriting more texts in the same time, see m2doc.

Usage

tf2doc(term, num)

Arguments

term	terms that you want to rewrite into a text. A character vector is preferred, but matrix, list, data frame are also OK. NA in the argument will be taken as letters "NA" and repeated.
num	frequencies of terms in term. A numeric vector is preferred, but matrix, list, data frame are also OK. Its length must be equal to that of term. No NA is allowed.

Value

a character vector. Terms are pasted with a space.

Examples

x <- matrix(c("coffee", "milk", "tea", "cola"), nrow = 2)
y <- factor(c(5:8))
tf2doc(x, y)

chinese.misc documentation built on Sept. 13, 2020, 5:13 p.m.