![]() We can see that first two axes respresent (4.625+3.492)/35.4 ≈ 23% of variation. (Showed only 8 of all 47 unconstrained eigenvalues)Īlternatively, we can display the summary of the PCA ordination results (note that the output of the summary function is rather talkative, and it may be useful to display only few lines of it by wrapping it into the function head): S.D.), and data are thus suitable for linear ordination methods. The length of the first DCA axis is 2.7 S.D. spe ) library (vegan )ĭetrended correspondence analysis with 26 segments.ĭecorana values 0.2887 0.2228 0.1676 0.1383 To ensure that it passes also the “length of the first DCA axis” rule, let's first calculate DCA on it: ![]() Grasslands dataset contains relatively homogenous species composition, since the sampled grassland patches all belong to the same or very closely related vegetation types, which makes this dataset suitable for PCA. ![]()
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