Sentence examples for using a principle components from inspiring English sources

Using a principle components analysis followed by a varimax rotation, we identified factor structures for schizophrenic patients (n = 99), their unaffected siblings (n = 167), and control subjects (n = 131), both separately and as a composite group.

Relative household wealth tertiles were created using a principle components analysis based on asset ownership derived from the household questionnaire.

The gene expression data from all 3 batches were first investigated for batch-to-batch variations using a principle components analysis.

Analyses were conducted in Stata (version 11.2) and included descriptive statistics, exploratory factor analyses using a principle components factor analysis with oblique rotation, bivariate correlational analyses including the Pearson product-moment correlation and Spearman's rank order correlation, and multiple regression analysis.

However, using a principle component analysis (PCA) that allows us to reduce the dimensionality/complexity of the datasets and extract common features, we could show that RNA and protein data from the individual life stages clearly cluster together.

The selection of the training and test compounds (n=28 and 9, respectively) was done by using a principle component analysis (PCA) score plot.

We designed three behavioural tests that aimed at assessing the cats' boldness levels and determining the individual temperaments using a principle component analysis.

The proposed algorithm utilizes the eigenshape representation, which is obtained by using a principle component analysis method, to construct an arbitrarily shaped kernel so as to adapt to object shape.

This algorithm models the tracked object by using a principle component analysis (PCA) subspace, adopts the idea of noise separation to handle the abnormal noise that appears in the tracking process, and designs the corresponding objective function.

Resampling the data using a principle component analysis (PCA): We used PCA to calculate the principle components (or eigen-vectors) of the spectrograms of each fish species.

These items were then combined into an index of community-level socioeconomic development using a Principle Component Analysis, as reported in [21].