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1 | # Saved only the last 20 columns of the file first. No need to grab the rest. | |
2 | ||
3 | # Calculate percent agreement | |
4 | install.packages("irr") | |
5 | agree(matrixdata, tolerance=0) | |
6 | Percentage agreement (Tolerance=0) | |
7 | - | Krippendorffs alpha (data level - nominal) = 0.1529467 |
7 | + | |
8 | Raters = 20 | |
9 | %-agree = 0.0143 | |
10 | ||
11 | agree(matrixdata, 1) | |
12 | Percentage agreement (Tolerance=1) | |
13 | Subjects = 7000 | |
14 | Raters = 20 | |
15 | %-agree = 11.8 | |
16 | ||
17 | # Calculate krip's alpha. NOTE: This took hours on a MacBook Pro. If you've a | |
18 | # spare $10 just rent a cluster compute instance on EC2 for a few hours. | |
19 | install.packages("concord") | |
20 | dataset = read.delim("/path/to/results", header=T) | |
21 | - | %-agree = 11.8 |
21 | + | |
22 | krip.alpha(matrixdata, method = "nominal") | |
23 | Krippendorffs alpha (data level - nominal) = 0.1529467 |