**Supplemental materials** ## Classifying Acoustic Signals into Phoneme Categories: ### *Average and Dyslexic Readers Make Use Of Complex Dynamical Patterns and Self-Affine Temporal Structure* --------- ### The **Github** repository contains MatLab scripts: * Hasselman2014_extractmeasures.m: Extract the measures used in QDA, based on the speech stimuli in STIMULI. * Hasselman2014_Fig1-10.m: Recreate Figure 1 to 10. * Hasselman2014_Fig11-12_tab8.m: Recreate Figure 11 and 12 by performing QDA. Table 8 lists QDA results. * crp_edit.m: Adjusted version of the CRP Toolbox function. It will return the value of the threshold when RR is fixed. * **Classifiaction - QDA:** Folder with Matlab scripts (by M. Little) needed to run the Quadratic Discriminant Analysis with bootstrapped Confidence Intervals. Some minor edits to the original. *See the Wiki pages more details.* ---------- ### The files in the **OSF storage** are: * **DATA:** 1. Raw spreadsheet data (.xlsx) 2. Output from MLWiN modeling of the multilevel logistic model (.xlsx) 3. Matlab (.mat) data files needed by the scripts. * **STIMULI:** The stimulus set (.wav) used in the labelling experiments. These files are used by the Matlab scripts to extract stimulus features. * **FORMANT TABLES:** A list of the formant tracks for each stimulus extracted by the Praat program (.txt). These are used by the Matlab scripts. * **ARTICLE_TEX:** The LaTeX version of the article. *See the Wiki pages more details.* ---------- Fred Hasselman 2014