bootstrap_readability: compute bootstrapped SEs for readability statistics
In kbenoit/sophistication: Functions to help measure textual sophistication

Description Usage Arguments Value Examples

Function to compute bootstrapped mean and SEs for readability statistics. This is a wrapper around quanteda.textstats::textstat_readability(), that redraws the corpus using sentence-level bootstrapping from the original texts.

1	bootstrap_readability(x, n = 100, ..., verbose = FALSE)

`x`	character or corpus input object for which readability will be computed
`n`	bootstrap replicates
`...`	additional arguments passed to `quanteda.textstats::textstat_readability()`
`verbose`	if `TRUE` show status messages

list consisting of three data.frame objects: the computed values on the original texts; the computed mean of the replicates; and the standard deviations of the replicates

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data(data_corpus_inaugural, package = "quanteda")
bootstrap_readability(data_corpus_inaugural[50:58], n = 10,
    measure = c("Flesch", "Flesch.Kincaid"), verbose = TRUE)