lma_meta | R Documentation |
Calculate simple descriptive statistics from text.
lma_meta(text)
text |
A character vector of texts. |
A data.frame:
characters
: Total number of characters.
syllables
: Total number of syllables, as estimated by split length of
'a+[eu]*|e+a*|i+|o+[ui]*|u+|y+[aeiou]*'
- 1.
words
: Total number of words (raw word count).
unique_words
: Number of unique words (binary word count).
clauses
: Number of clauses, as marked by commas, colons, semicolons, dashes, or brackets
within sentences.
sentences
: Number of sentences, as marked by periods, question marks, exclamation points,
or new line characters.
words_per_clause
: Average number of words per clause.
words_per_sentence
: Average number of words per sentence.
sixltr
: Number of words 6 or more characters long.
characters_per_word
: Average number of characters per word
(characters
/ words
).
syllables_per_word
: Average number of syllables per word
(syllables
/ words
).
type_token_ratio
: Ratio of unique to total words: unique_words
/ words
.
reading_grade
: Flesch-Kincaid grade level: .39 * words
/ sentences
+
11.8 * syllables
/ words
- 15.59.
numbers
: Number of terms starting with numbers.
punct
: Number of terms starting with non-alphanumeric characters.
periods
: Number of periods.
commas
: Number of commas.
qmarks
: Number of question marks.
exclams
: Number of exclamation points.
quotes
: Number of quotation marks (single and double).
apostrophes
: Number of apostrophes, defined as any modified letter apostrophe, or backtick
or single straight or curly quote surrounded by letters.
brackets
: Number of bracketing characters (including parentheses, and square,
curly, and angle brackets).
orgmarks
: Number of characters used for organization or structuring (including
dashes, foreword slashes, colons, and semicolons).
text <- c(
succinct = "It is here.",
verbose = "Hear me now. I shall tell you about it. It is here. Do you hear?",
couched = "I might be wrong, but it seems to me that it might be here.",
bigwords = "Object located thither.",
excited = "It's there! It's there! It's there!",
drippy = "It's 'there', right? Not 'here'? 'there'? Are you Sure?",
struggly = "It's here -- in that place where it is. Like... the 1st place (here)."
)
lma_meta(text)
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