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updated 1 year ago

Benjamini & Hochberg/Yekutieli Procedure for Controlling False Discovery Rate by David Groppe

Benjamini & Hochberg/Yekutieli false discovery rate control procedure for a set of statistical tests (false discovery rate, fdr, bonferroni)

[h crit_p adj_p]=fdr_bh(pvals,q,method,report)

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updated 1 year ago

Mass Univariate ERP Toolbox by David Groppe

Functions for performing and visualizing mass univariate analyses of event-related potentials. (massively univariate ..., mass univariate analy..., eventrelated potentia...)

EEG=bin_info2EEG(EEG_or_fname,blf_fname,save_fname,verble...

GND=baselineGND(GND,bsln_wind,verblevel)

GND=bin_dif(GND,binA,binB,dif_bindesc,dif_ccode,dif_ccdescr)

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updated almost 2 years ago

one sample/paired samples permutation t-test with correction for multiple comparisons by David Groppe

One sample/paired samples permutation t-test with correction for multiple comparisons (ttest, repeated measures, paired sample)

[pval, t_orig, crit_t, est_alpha, seed_state]=mult_comp_p...

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updated almost 2 years ago

Correlation permutation test with correction for multiple comparisons by David Groppe

Permutation test of null hypothesis of no correlation between one more pairs of variables. (correlation, linear, rank)

[pval, corr_obs, crit_corr, est_alpha, seed_state]=mult_c...

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updated almost 2 years ago

Two-stage Benjamini, Krieger, & Yekutieli FDR procedure by David Groppe

Two-stage procedure for controlling the false discovery rate in a family of hypothesis tests (false discovery rate, fdr, multiple comparisons)

[h crit_p]=fdr_bky(p_values,q,report)

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updated almost 2 years ago

Bonferroni-Holm Correction for Multiple Comparisons by David Groppe

Adjusts a family of p-values via Bonferroni-Holm method to control probability of false rejections. (bonferroni, holm, multiple comparisons)

[corrected_p, h]=bonf_holm(pvalues,alpha)

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updated almost 11 years ago

T-test with Bonferroni Correction by Guy Shechter

Performs multiple pairwise comparisons between groups of samples. (statistics, probability, ttest)

ttest_bonf(x,pairs,alpha,tail)

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