Dear all, may I suggest the acronym IOTT for the inter-ocular trauma test?
Now we just need someone to implement iot.test(). I assume it will appear on CRAN within the next 24 hours.
Looking forward to yet another base package, Stephan Am 25.05.2011 23:36, schrieb Greg Snow:
How can anyone overlook the intra-ocular trauma test (or sometimes called the inter-ocular concussion test). But the i-o trauma test needs either a small data set or an appropriate graph of the data (or can you look at a dataset of a hundred columns and a million rows and do an intra-ocular trauma test?). We were not told the size of the dataset or enough information to know what type of graph to make. You do make a good point though that with minimal additional information the intra-ocular trauma test can be useful (well if it is significant, there are many datasets that fail the intra-ocular trauma test, but still yield interesting results after careful study). And for any dataset that has a significant intra-ocular trauma test result, that should trump the results of SnowsCorrectlySizedButOtherwiseUselessTestOfAnything.
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