corregp (version 0.1.2)

TSS: The Use of Inflected or Uninflected Determiners in the Belgian Dutch Vernacular

Description

The distribution of the Belgian Dutch -e(n)-suffix with 14 determiners in 14 registers and for several speaker characteristics.

format

A data frame with 40778 rows and 12 variables.

• Variant

{The linguistic variant used in a set of alternatives (35 levels).} Variable{The linguistic variable specifying a set of alternatives (14 levels).} Inflected{Numeric variable specifying whether the linguistic variant is inflected (1) or not (0).} Register{The register of the data in the Spoken Dutch Corpus (14 levels: see http://lands.let.ru.nl/cgn/doc_English/topics/version_1.0/overview.htm{here} for their definition).} SpeakerID{The ID of the speaker in the Spoken Dutch Corpus (1144 levels).} Region{The region in which the speaker lived until the age of 18 (4 levels).} Sex{The sex of the speaker (2 levels).} BirthYear{The year in which the speaker was born (63 levels).} Decade{The decade in which the speaker was born (7 levels).} Generation{The generation cohort in which the speaker was born (5 levels).} Education{The level of education of the speaker (3 levels).} Occupation{The level of occupation of the speaker (10 levels: see http://lands.let.ru.nl/cgn/doc_English/topics/version_1.0/metadata/speakers.htm{here} for their definition).}

source

Plevoets, K. (2008) Tussen spreek- en standaardtaal. Leuven, Doctoral dissertation. Available online https://lirias.kuleuven.be/handle/1979/1760{here} and http://statbel.fgov.be/nl/modules/digibib/bevolking/1431_tussen_spreek-_en_standaardtaal.jsp{here}.

Examples

data(TSS)
# The execution of corregp may be slow, due to bootstrapping:
tss.crg <- corregp(Variant ~ Register * Region, data = TSS, part = "Variable", b = 3000)
tss.crg
summary(tss.crg, parm = "b", add_ci = TRUE)
screeplot(tss.crg, add_ci = TRUE)
tss.col <- ifelse( xtabs(~ Variant + Inflected, data = TSS)[, 1] > 0, "blue", "red")
plot(tss.crg, x_ell = TRUE, xsub = c("Register", "Region"), col_btm = tss.col, col_top = "black")