mclm (version 0.2.7)

as_data_frame: Coerce object to a data frame

Description

as_data_frame() is an alternative to as.data.frame(). A number of objects in mclm can be turned into dataframes with one of these functions.

Usage

as_data_frame(x, row.names = NULL, optional = FALSE, ...)
# S3 method for default
as_data_frame(x, row.names = NULL, optional = FALSE, ...)
# S3 method for assoc_scores
as.data.frame(x, ...)
# S3 method for conc
as.data.frame(x, ...)
# S3 method for fnames
as.data.frame(x, ...)
# S3 method for freqlist
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
# S3 method for details.slma
as.data.frame(x, ...)
# S3 method for slma
as.data.frame(x, ...)
# S3 method for tokens
as.data.frame(x, ...)
# S3 method for types
as.data.frame(x, ...)

Value

Object of class data.frame

Arguments

x

Object to coerce to data.frame.

row.names

NULL or a character vector giving the rownames for the dataframe.

optional

Logical. If TRUE, setting rownames and converting column names is optional (see as.data.frame()).

...

Additional arguments

Examples

# for an assoc_scores object ---------------------
a <- c(10,    30,    15,    1)
b <- c(200, 1000,  5000,  300)
c <- c(100,   14,    16,    4)
d <- c(300, 5000, 10000, 6000)
types <- c("four", "fictitious", "toy", "examples")
(scores <- assoc_abcd(a, b, c, d, types = types))

as.data.frame(scores)
as_data_frame(scores)

# for a conc object ------------------------------
(conc_data <- conc('A very small corpus.', '\\w+', as_text = TRUE))
as.data.frame(conc_data)

# for an fnames object ---------------------------
cwd_fnames <- as_fnames(c('file1', 'file2'))
as.data.frame(cwd_fnames)

# for a freqlist, types or tokens object ---------
toy_corpus <- "Once upon a time there was a tiny toy corpus.
  It consisted of three sentences. And it lived happily ever after."
(flist <- freqlist(toy_corpus, as_text = TRUE))
as.data.frame(flist)

(flist2 <- keep_re(flist, "^..?$"))
as.data.frame

(toks <- tokenize(toy_corpus))
as.data.frame(toks)

(toks <- tokenize(toy_corpus))
as.data.frame(toks)