Description Usage Arguments Details Value Author(s)
Raw and Chance-corrected Agreement
1 |
x |
an n by data.frame containing n observations performed by m observers for a given attribute of interest. |
weights |
a character defining the weighting scheme for ordered factors. options are 'linear' or 'quadratic' weights. Default is 'linear' |
random |
a logical defining if the probability of expected agreement should be computed from totally random allocation model or from the marginals (as in Cohen's Kappa). Default is TRUE (totally random). |
digits |
number of decimal places (rounding) |
Current implementation generalizes the application of weighting schemes (ordered factors) to raw agreement computation and generalizes chance-corrected agreement to an arbitrary number of raters/rating sessions. Statistical significance is computed from a binomial test against expected probability of agreement and not assuming no agreement (0) as the null hypothesis.
a list with the following components (ordered by relevance):
agreement |
a vector with raw and chance-corrected agreement estimates |
balanced |
balanced agreement as the mean value of detailed agreement |
detailed |
level-specific agreement of a factor |
expected |
probability of expected agreement |
p.value |
significance probability of a binomial test |
n |
number of valid observations/ratings |
m |
number of observers/raters |
k |
number of levels |
probability |
a list of withprobabilities used to compute agreement |
ordered |
a logical indicating if ordered factors were analysed |
scheme |
weighting scheme applied |
weighted |
a logical indicating if analysis is weighted |
David Navega
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