rainman: Perception of points in a swarm

In MethComp: Analysis of Agreement in Method Comparison Studies

Description

Five raters were asked to guess the number of points in a swarm for 10 different figures (which - unknown to the raters - were each repeated three times).

Format

A data frame with 30 observations on the following 6 variables.

SAND

The true number of points in the swarm. Each picture is replicated thrice

ME

Ratings from judge 1

TM

Ratings from judge 2

AJ

Ratings from judge 3

BM

Ratings from judge 4

LO

Ratings from judge 5

Details

The raters had approximately 10 seconds to judge each picture, and they thought it were 30 different pictures. Before starting the experiment they were shown 6 (unrelated) pictures and were told the number of points in each of those pictures. The SAND column contains the picture id (which is also the true number of points in the swarm).

Source

Collected by Claus Ekstrom.

Examples

library(MethComp)
data( rainman )
str( rainman )
RM <- Meth( rainman, item=1, y=2:6 )
head( RM )
BA.est( RM, linked=FALSE )
library(lme4)
mf <- lmer( y ~ meth + item + (1|MI),
                data = transform( RM, MI=interaction(meth,item) ) )
summary( mf )
mr <- lmer( y ~ (1|meth) + (1|item) + (1|MI),
                data = transform( RM, MI=interaction(meth,item) ) )
summary( mr )

#
# Point swarms were generated by the following program
#
## Not run: 
set.seed(2) # Original
npoints <- sample(4:30)*4
nplots <- 10
pdf(file="swarms.pdf", onefile=TRUE)

s1 <- sample(npoints[1:nplots])
print(s1)
for (i in 1:nplots) {
  n <- s1[i]
  set.seed(n)
  x <- runif(n)
  y <- runif(n)
  plot(x,y, xlim=c(-.15, 1.15), ylim=c(-.15, 1.15), pch=20, axes=F,
       xlab="", ylab="")
}
s1 <- sample(npoints[1:nplots])
print(s1)
for (i in 1:nplots) {
  n <- s1[i]
  set.seed(n)
  x <- runif(n)
  y <- runif(n)
  plot(y,x, xlim=c(-.15, 1.15), ylim=c(-.15, 1.15), pch=20, axes=F,
       xlab="", ylab="")
}
s1 <- sample(npoints[1:nplots])
print(s1)
for (i in 1:nplots) {
  n <- s1[i]
  set.seed(n)
  x <- runif(n)
  y <- runif(n)
  plot(-x,y, xlim=c(-1.15, .15), ylim=c(-.15, 1.15), pch=20, axes=F,
       xlab="", ylab="")
}
dev.off()

## End(Not run)

MethComp documentation built on Jan. 20, 2020, 1:12 a.m.