CatProp {WordPools} | R Documentation |
Joelson-Hermann Category Properties
Description
Properties of the 56 taxonomic categories from the Battig-Montague category norms published by Joelson and Hermann (1978).
Usage
data(CatProp)
Format
A data frame with 56 observations on the following 24 variables.
catnum
Category number, a numeric variable
catname
Category name, a character variable
rnatrl
Rated naturalness 1..7, a numeric variable
rfamil
Rated familiarity 1..7, a numeric variable
rmeang
Rated meaningfulness 1..7 (Hunt & Hodge, 1971), a numeric variable
rfreq
Rated frequency 1..7 B&M, a numeric variable
genfreq
Generated category label frequency, a numeric variable
rageoaq
Rated age of acquisition 1..10, a numeric variable
rsize
Estimated category size, a numeric variable
ts_30
Mean # types produced in 30 seconds, a numeric variable
rclasm
Recall asymptote, a numeric variable
rclrate
Recall rate parameter, a numeric variable
tas
Types across subjects, a numeric variable
cortas
Corrected types across subjects, a numeric variable
ntf
# of types produced first, a numeric variable
nmngox
# of dictionary meanings (Oxford), a numeric variable
nmngam
# of dictionary meanings (Am. Heritage), a numeric variable
catfreqp
category label K-F frequency, a numeric variable
rabcon
Rated abstract-concreteness 1..7, a numeric variable
rvagprc
Rated vague-precise 1..7, a numeric variable
exfreqp
Avg exemplar log K-F frequency, a numeric variable
intsam
Intersample correlation, a numeric variable
maxfreq
Maximum response frequency, a numeric variable
pagmt
Percent agreement on category membership, a numeric variable
Details
Includes data for all 56 of the Battig-Montague categories from a preprint of
the Joelson-Hermann paper
Values for catfreqp
were added for categories 3, 4, 8, 15, 24, 27,
32, 46, 47 & 56 from the Kucera-Francis norms, ignoring "part of", "unit of", and
taking max of labels connected by "or".
Source
Joelson, J. M. & Hermann, D. J. , Properties of categories in semantic memory, American Journal of Psychology, 1978, 91, 101-114.
Examples
data(CatProp)
summary(CatProp)
plot(CatProp[,3:10])
# try a biplot
CP <- CatProp
rownames(CP) <- CP$catname
biplot(prcomp(na.omit(CP[,3:12]), scale=TRUE))
# select some categories where the rated age of acquisition is between 2-4
cats <- pickList(CatProp, list(rageoaq=c(2,4)))
cats[,2:9]
# pick some fruit
pickList(subset(Battig, catname=="fruit"))