kmo and Bartlett's test of sphericity in factor analysis

版本 1.0.0 (1.7 KB) 作者: qqffssxx
Using MATLAB's statistical and machine learning toolbox to calculate kmo and Bartlett's test of sphericity in factor analysis
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Using MATLAB's statistical and machine learning toolbox to calculate kmo and Bartlett's test of sphericity in factor analysis:
Generate a set of random numbers to test these two functions:
x1 = rand(100,4);
qf_kmo(x1)
qf_bartlett(x1)
==============================
KMO: 0.49596
==============================
==============================
Bartlett's test of sphericity
Chi-square statistic: 5.4061
Degrees of freedom: 6
P-value: 0.49288
==============================
For a group of identical data tests, the results obtained by these two functions are exactly the same as those reported by the SPSS software.

引用格式

qqffssxx (2024). kmo and Bartlett's test of sphericity in factor analysis (https://www.mathworks.com/matlabcentral/fileexchange/126744-kmo-and-bartlett-s-test-of-sphericity-in-factor-analysis), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2020a
与 R2010b 及更高版本兼容
平台兼容性
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参考作品: kmo

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版本 已发布 发行说明
1.0.0