My data consists of two raters interpreting one specific phenomenon to occur at different points in time. I have two questions:
1) What do I call these data? "Time-series data" seems too general and usually refers to metric data changing continuously over time (while I have just points of data along the time line). Under "time-point data" I don't find problems of the kinds described in question (2).
2) What indices for interrater reliability can I use - preferably in R? (If an index requires defining how much offset is tolerated, that could be 0.120 seconds.)
example data (in seconds)
rater1:
181.23
181.566
181.986
182.784
183.204
191.352
193.956
195.426
197.568
197.82
198.576
202.02
205.8
206.136
208.53
209.034
216.216
220.08
220.584
230.706
238.266
238.518
239.442
241.5
241.836
244.398
rater2:
181.902
182.784
183.204
193.956
195.384
197.694
197.82
198.576
199.5
202.146
205.8
206.136
208.53
216.258
219.576
220.542
222.096
222.558
226.002
228.312
229.11
230.244
230.496
230.832
231.504
232.554
238.266
238.518
238.602
238.938
241.5
241.836
244.272
