Line Plot from Scientific Research

Open access visualization of Line Plot, Error Bars, Variance, Linguistic Model, Principal Components
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The variance explained in the separate linguistic model weights by each of the top ten PCs identified for a participant (P7) at one context-layer condition. The grey lines represent the variance explained by the PCs of the conversation content. The stimulus PCs were aligned with weight PCs using the GaleShapley stable-match algorithm. The data are presented as the original PCA results, with the error bars representing the standard deviation across 1,000 bootstrap samples. The standard deviations for the model weight PCs are very small.

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