The expsy
data frame has 30 rows and 16 columns with missing data.
it1-it10 correspond to the rating of 30 patients with a 10 items scale.
r1, r2, r3 to the rating of item 1 by 3 different clinicians of the same 30 patients.
rb1, rb2, rb3 to the binary transformation of r1, r2, r3 (1 or 2 -> 0; and 3 or 4 -> 1) .
data(expsy)
This data frame contains the following columns:
a numeric vector corresponding to item 1 (rated from 1:low to 4:high)
a numeric vector corresponding to item 2 (rated from 1:high to 4:low)
a numeric vector corresponding to item 3 (rated from 1:low to 4:high)
a numeric vector corresponding to item 4 (rated from 1:low to 4:high)
a numeric vector corresponding to item 5 (rated from 1:low to 4:high)
a numeric vector corresponding to item 6 (rated from 1:low to 4:high)
a numeric vector corresponding to item 7 (rated from 1:low to 4:high)
a numeric vector corresponding to item 8 (rated from 1:low to 4:high)
a numeric vector corresponding to item 9 (rated from 1:low to 4:high)
a numeric vector corresponding to item 10 (rated from 1:low to 4:high)
a numeric vector corresponding to item 1 rated by rater 1
binary transformation of r1
a numeric vector corresponding to item 1 rated by rater 2
binary transformation of r2
a numeric vector corresponding to item 1 rated by rater 3
binary transformation of r3
# NOT RUN {
data(expsy)
expsy[1:4,]
# }
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