Closed gabrielmoisan closed 4 years ago
Hi Gabriel,
Nonparametric and normality tests are supported for all tests in spm1d.stats.
So if you have run a test called spm1d.stats.testname, there are corresponding nonparametric and normality tests called:
All nonparametric tests use permutation.
The normality tests use either the D'Agostino-Pearson K2 test (normality.k2) or the Shapiro-Wilks statistic (normality.sw). Both k2 and sw procedures are corrected for arbitrary one-dimensional domains using random field theory.
Todd
Thanks Todd!
Hi Todd, Do you have a list of all the non-parametric and normality tests that can implemented in SPM? For example ANOVA1rm=permutation test (Nichols and Holmes 2002). I'd like to know for the following, but a complete list could help others:
Non-parametric equivalent: -dependent and independent t tests -One way Anova -Hotelling's paired -nonparam.hotellings2
Normality tests: -dependent and independent t tests -One way Anova -Anova1rm
Thanks again Todd, Gabriel