qgraph : Network Visualizations of Relationships in Psychometric Data
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Abstract
We present the qgraph package for R, which provides an interface to visualize data through network modeling techniques. For instance, a correlation matrix can be represented as a network in which each variable is a node and each correlation an edge; by varying the width of the edges according to the magnitude of the correlation, the structure of the correlation matrix can be visualized. A wide variety of matrices that are used in statistics can be represented in this fashion, for example matrices that contain (implied) covariances, factor loadings, regression parameters and p values. qgraph can also be used as a psychometric tool, as it performs exploratory and confirmatory factor analysis, using sem and…
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5Topics & keywords
Topics
Keywords
- Computer science
- Correlation
- Matrix (chemical analysis)
- Data mining
- Node (physics)
- Enhanced Data Rates for GSM Evolution
- Interface (matter)
- Pattern recognition (psychology)
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