readability

Calculate Readability Scores


License
GPL-2.0

Documentation

readability Follow

Project Status: Active - The project has reached a stable, usable
state and is being actively
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readability utilizes the syllable package for fast calculation of readability scores by grouping variables.

Table of Contents

Installation

To download the development version of readability:

Download the zip ball or tar ball, decompress and run R CMD INSTALL on it, or use the pacman package to install the development version:

if (!require("pacman")) install.packages("pacman")
pacman::p_load_gh(c(
    'trinker/lexicon',
    'trinker/textclean',
    'trinker/textshape',
    "trinker/syllable", 
    "trinker/readability"
))

Contact

You are welcome to:

Examples

if (!require("pacman")) install.packages("pacman")
pacman::p_load(syllable, readability)

(x <- with(presidential_debates_2012, readability(dialogue, list(person, time))))

##        person   time Flesch_Kincaid Gunning_Fog_Index Coleman_Liau SMOG
##  1:  QUESTION time 2            8.6              12.5         10.1 12.0
##  2:     OBAMA time 1            9.1              12.2          8.9 11.4
##  3:     OBAMA time 3            8.5              12.0          8.8 11.5
##  4:    ROMNEY time 1            6.8              10.2          8.1 10.3
##  5:     OBAMA time 2            6.8              10.2          7.8 10.3
##  6:    ROMNEY time 3            6.7              10.1          7.5 10.2
##  7:    ROMNEY time 2            6.1               9.3          7.4  9.7
##  8: SCHIEFFER time 3            5.1               8.7          6.8  9.3
##  9:    LEHRER time 1            4.3               8.3          5.9  9.0
## 10:   CROWLEY time 2            4.3               7.6          5.6  8.5
##     Automated_Readability_Index Average_Grade_Level
##  1:                         8.0                10.2
##  2:                         9.0                10.1
##  3:                         8.0                 9.7
##  4:                         6.0                 8.3
##  5:                         6.0                 8.2
##  6:                         6.0                 8.1
##  7:                         5.0                 7.5
##  8:                         4.0                 6.8
##  9:                         3.0                 6.1
## 10:                         3.0                 5.8

plot(x)