At the course "Statsitical Analysis of Method Comparison Studies" ai the SISMEC conference in Ancona, on 28 September 2011, the participants on the course were used as raters of ten pictures of points. Pitures were shown 3 times each to the participants, and they assessed the number of points in each.

Format

A data frame with 510 observations on the following 4 variables.

rater

a factor with 17 levels

item

a numeric vector indicating the pictures shown. The value is the actual number of points.

repl

a numeric vector, replicate number

score

a numeric vector, the number of points in item

Source

The course "Statsitical Analysis of Method Comparison Studies" ai the SISMEC conference in Ancona, on 28 September 2011.

Examples


library( MethComp )
data( Ancona )
Anc <- Meth( Ancona, 1, 2, 3, 4 )
#> The following variables from the dataframe
#> "Ancona" are used as the Meth variables:
#> meth: rater 
#> item: item 
#> repl: repl 
#>    y: score 
#>                #Replicates
#> Method                  3 #Items #Obs: 510 Values:  min  med max
#>   112345               10     10        30           18 58.5 102
#>   1212                 10     10        30           20 69.0 145
#>   123                  10     10        30           12 77.0 200
#>   1234                 10     10        30           24 68.5 130
#>   12345                10     10        30           17 85.0 147
#>   123456               10     10        30           19 72.0 120
#>   1508                 10     10        30           13 47.5 120
#>   456                  10     10        30           20 80.0 130
#>   55555                10     10        30           15 79.0 160
#>   A1268796D            10     10        30           23 43.5 130
#>   butterscotch         10     10        30           23 78.5 200
#>   BxC                  10     10        30           14 74.5 130
#>   delaunay             10     10        30           14 45.5 120
#>   etabeta              10     10        30           18 73.0 150
#>   prova1               10     10        30           21 73.0 120
#>   r566f6688            10     10        30           20 62.5 140
#>   vf                   10     10        30           15 31.5  75