Dear reader,
I am working with the pcoa function of ape in R and I got the error message: "min(D.eig$values) : invalid 'type' (complex) of argument" . My input data is a distance matrix, which pcoa first converts to a matrix in the first line within the code of the function. The error occurs when it wants to check for negative eigenvalues at the line ' min.eig <- min(D.eig$values)' I checked D.eig$values and indeed they are complex numbers (imaginary numbers). What I don't understand is why these are created. I never had any issues with the pcoa function before, and now I change my dataset and this happens. The distance matrix values range from 0 to 47 and I have species names as rownames and column names. In the attachment I include a small piece of the dataset and the code I run. I checked when the error occurs, and I don't see why the extra line (2063) gives the error. I hope someone can help me. Kind regards, Coline Boonman -- PhD student Department of Environmental Science Faculty of Science Radboud University Nijmegen P.O. Box 9010, NL-6500 GL Nijmegen E: c.boon...@science.ru.nl T: + 31 (0)243653270 / + 31 (0)243653281 (secr.) http://www.ru.nl/environmentalscience
test.fst
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test.R
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