MINAP: Stata module to calculate minimum average partial correlation for principal components
MINAP: Stata module to calculate minimum average partial correlation for principal components
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MINAP：计算主成分最小平均偏相关性的 Stata 模块
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
S. Soldz
中科院分区：
文献类型：
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作者：
S. Soldz
Velicer（1976）提出，当进行主成分分析作为因子分析的一个版本时，应该提取的成分的数量是在去除m个主成分后变量的平均偏相关性最小的数量。MINAP计算该最小平均偏相关。它可以将变量列表或相关矩阵作为输入。
Velicer (1976) proposed that, when conducting principal components analysis as a version of factor analysis, the number of components one should extract is that at which the average partial correlation of the variables, after partialling out m principal components, would be a minimum. minap calculates this minimum average partial correlation. It can take as input either a variable list or a correlation matrix.