Description Usage Format Source References Examples

Affix productivity, gauged by the P* productivity measure, for 27 English affixes in 44 texts.

1 |

A data frame with 44 observations on the following 30 variables.

`semi`

a numeric vector of P*-values

`anti`

a numeric vector of P*-values

`ee`

a numeric vector of P*-values

`ism`

a numeric vector of P*-values

`ian`

a numeric vector of P*-values

`ful`

a numeric vector of P*-values

`y`

a numeric vector of P*-values

`ness`

a numeric vector of P*-values

`able`

a numeric vector of P*-values

`ly`

a numeric vector of P*-values

`unV`

a numeric vector of P*-values

`unA`

a numeric vector of P*-values

`ize`

a numeric vector of P*-values

`less`

a numeric vector of P*-values

`erA`

a numeric vector of P*-values

`erC`

a numeric vector of P*-values

`ity`

a numeric vector of P*-values

`super`

a numeric vector of P*-values

`est`

a numeric vector of P*-values

`ment`

a numeric vector of P*-values

`ify`

a numeric vector of P*-values

`re`

a numeric vector of P*-values

`ation`

a numeric vector of P*-values

`in.`

a numeric vector of P*-values

`ex`

a numeric vector of P*-values

`en`

a numeric vector of P*-values

`be`

a numeric vector of P*-values

`AuthorCodes`

a factor with levels

`BLu`

(King James Version: Luke-Acts)

`BMo`

(Book of Mormon)

`CAs`

(Aesop's fables, translation by Townsend)

`CBo`

(Baum, The Marvelous Land of Oz)

`CBp`

(Barrie, Peter Pan and Wendy)

`CBw`

(Baum, The Wonderful Wizard of Oz)

`CCa`

(Carroll, Alice's Adventures in Wonderland)

`CCt`

(Carroll, Through the Looking Glass and what Alice Found There)

`CGr`

(Grimm Fairy Tales, translations)

`CKj`

(Kipling, The Jungle Book)

`LAp`

(Austen, Pride and Prejudice)

`LBp`

(Burroughs, A Princess of Mars)

`LBw`

(Bronte, Wuthering Heights)

`LCl`

(Conrad, Lord Jim)

`LCn`

(Conrad, Nigger of the Narcissus)

`LDb`

(Doyle, The Casebook of Sherlock Holmes)

`LDc`

(Dickens, The Chimes: a Goblin Story)

`LDC`

(Dickens, A Christmas Carol)

`LDh`

(Doyle, The Hound of the Baskervilles)

`LDv`

(Doyle, The Valley of Fear)

`LJc`

(James, Confidence)

`LJe`

(James, The Europeans)

`LLc`

(London, The Call of the Wild)

`LLs`

(London, The Sea Wolf)

`LMa`

(Montgomery, Anne of Avonlea)

`LMm`

(Melville, Moby Dick)

`LMn`

(Morris, News from Nowhere)

`LMp`

(Milton, Paradise Lost)

`LOs`

(Orczy, The Scarlet Pimpernel)

`LSd`

(Stoker, Dracula)

`LSs`

(Chu, More than a Chance Meeting (Startrek))

`LTa`

(Trollope, Ayala's Angel)

`LTe`

(Trollope, The Eustace Diamonds)

`LTf`

(Trollope, Can you Forgive her?)

`LTy`

(Twain, A Connecticut Yankee in King Arthur's Court)

`LWi`

(Wells, The Invisible Man)

`LWt`

(Wells, The Time Machine)

`LWw`

(Wells, The War of the Worlds)

`OAf`

(The Federalist Papers)

`OCh`

(Texts sampled from Congress Hearings)

`OCl`

(Texts sampled from Clinton's Election Speeches)

`ODo`

(Darwin, On the Origin of the Species)

`OGa`

(Selected Texts from the Government Accounting Office)

`OJe`

(James, Essays in Radical Empiricism)

`Registers`

a factor with levels

`B`

(Biblical texts)`C`

(Children's books)`L`

(Literary texts)`O`

(other)`Birth`

a numeric vector for the author's year of birth (where available)

Most texts were obtained from the Gutenberg Project (http://www.gutenberg.org/wiki/Main_Page) and the Oxford Text Archive (http://ota.ahds.ac.uk/).

Baayen, R. H. (1994) Derivational Productivity and Text Typology,
*Journal of Quantitative Linguistics*, 1, 16-34.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
## Not run:
data(affixProductivity)
affixes.pr = prcomp(affixProductivity[,1:(ncol(affixProductivity)-3)],
center = TRUE, scale. = TRUE)
library(lattice)
trellis.device()
super.sym = trellis.par.get("superpose.symbol")
splom(data.frame(affixes.pr$x[,1:3]),
groups = affixProductivity$Registers,
panel = panel.superpose,
key = list(title = "texts in productivity space",
text = list(c("Religious", "Children", "Literary", "Other")),
points = list(pch = super.sym$pch[1:4], col = super.sym$col[1:4])))
## End(Not run)
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languageR documentation built on May 30, 2017, 3:09 a.m.

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