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Scripts for "Genetic and shared environmental factors contribute equally to objective singing ability"

Version 3 2022-03-23, 23:49
Version 2 2022-03-01, 01:04
Version 1 2022-02-28, 03:44
software
posted on 2022-03-23, 23:49 authored by Daniel YeomDaniel Yeom
Scripts required to run all of the analyses in the project.<div><br></div><div>The following 5 scripts relate to the univariate genetic modelling:<br><div><br></div><div>1. oneSETca_SexlimHet5_AS_22032021.R: Script for testing quantitative and qualitative assumption tests, adjusted for age and sex for 5 zygosity groups. </div><div>2. ICC_AS_22032021: Script for calculating age- and sex-adjusted twin correlations.</div><div>3. ICC_AS_bySex_22032021: Same as above but splits output for each zyg group.</div><div>4. UniACE_AS_22032021: Fits an ACE model with the same covariate adjustments.</div><div>5. miFunctions.R: additional helper functions for fitting the model. This is automatically loaded within each of the other genetic scripts, so does not need to be run on its own.</div></div><div><br></div><div>In addition, the following scripts relate to the rest of the analyses in the figure:</div><div><br></div><div>1. iScience-D-12-03975-analyses-and-figures - RMarkdown file containing all of the descriptive analyses, code for reproducing figures and </div><div>2. SPSS_factor_analysis_script.sps- SPSS script for the factor analyses. </div>

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The genetic basis of singing ability

Australian Research Council

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    7420 - Melbourne Conservatorium of Music

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