Data from: Testing of the effect of missing data estimation and distribution in morphometric multivariate data analyses

Caleb Marshall Brown, Jessica H. Arbour & Donald A. Jackson
Missing data are an unavoidable problem in biological datasets and the performance of missing data deletion and estimation techniques in morphometric datasets are poorly understood. Here a novel method is used to measure the introduced error of multiple techniques on a representative sample. A large sample of extant crocodilian skulls was measured and analyzed with principal components analysis (PCA). Twenty-three different proportions of missing data were introduced into the dataset, estimated, analyzed, and compared to...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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