| affixProductivity | R Documentation |
Affix productivity, gauged by the P* productivity measure, for 27 English affixes in 44 texts.
data(affixProductivity)
A data frame with 44 observations on the following 30 variables.
semia numeric vector of P*-values
antia numeric vector of P*-values
eea numeric vector of P*-values
isma numeric vector of P*-values
iana numeric vector of P*-values
fula numeric vector of P*-values
ya numeric vector of P*-values
nessa numeric vector of P*-values
ablea numeric vector of P*-values
lya numeric vector of P*-values
unVa numeric vector of P*-values
unAa numeric vector of P*-values
izea numeric vector of P*-values
lessa numeric vector of P*-values
erAa numeric vector of P*-values
erCa numeric vector of P*-values
itya numeric vector of P*-values
supera numeric vector of P*-values
esta numeric vector of P*-values
menta numeric vector of P*-values
ifya numeric vector of P*-values
rea numeric vector of P*-values
ationa numeric vector of P*-values
in.a numeric vector of P*-values
exa numeric vector of P*-values
ena numeric vector of P*-values
bea numeric vector of P*-values
AuthorCodesa 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)
Registersa factor with levels B (Biblical texts)
C (Children's books) L (Literary texts) O (other)
Birtha numeric vector for the author's year of birth (where available)
Most texts were obtained from the Gutenberg Project (http://www.gutenberg.org) 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.
## 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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