Comments (3)
from factor_analyzer.
Fantastic answer @jbiggsets !
from factor_analyzer.
@jbiggsets thanks for an answer! will try to understand how works this check method.. can you please tell what is mistake in my method "get_correlations_between_factors" (by factor scores) and why it gave correct (almost identity) matrix for sklearn package FA?
from factor_analyzer.
Related Issues (20)
- calculate_bartlett_sphericity() crashes with dataframe but not with numpy array HOT 1
- calculate_kmo() differs from psych.KMO() in R HOT 1
- FactorAnalyzer(method="principal") throws sklearn FutureWarning in randomized_svd() HOT 1
- how to get Proportion Explained, RMSR and chi-squared? HOT 1
- Current release on conda HOT 1
- Mistake in correlation-function HOT 2
- Only 3 factors appear in factor loading matrix, but "n_factors=5" as input. Likely my error but I cannot find it. HOT 1
- Add pre-commit checks and apply them to all existing code
- random initial values for rotation matrix in GPA rotations HOT 2
- Regression method to calculate factor scores HOT 1
- Optimization error
- Comparison with SPSS HOT 2
- Switch to using `nose2` for tests instead of `nose` HOT 1
- Add support for Python 3.11 HOT 1
- Remove pre-commit from install dependencies, add it to "dev" extra HOT 1
- get_factor_variance() returns ndarray which is not ordered by variance.
- When will the full functionality of psych be supported? For example, scores = "Bartlett" and other functions. HOT 1
- Appearing warning for sklearn update
- `UnboundLocalError` with principal-lapack method types and any oblique rotations HOT 1
- Add CFI and RMSEA goodness-of-fit metrics HOT 4
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from factor_analyzer.