Modelling files supporting the published article: Perceptual decision-making in children: Age-related differences and EEG correlates
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This item contains the modelling files. The following files are included in this fileset:• <b>demographics_incl.csv</b><b>• MarkUpFile.docx</b><b>• DDMTDpaper_DataUpload.docx</b><b>• EWMAfiltered_4conds_dat.RData</b><b>• EWMAfiltered_3conds_dat.RData</b><b>• DataforDDM_041017.csv</b><b>• EWMAcutoffs.csv</b><b>• EWMA_3conds.R</b><b>• EWMA_4conds.R</b><b>• myJAGSscript_DDM_TD_cond1.R</b><b>• myJAGSscript_DDM_TD_manuscript_v2.R</b><b>• ExtractEEGmeasuresForModelling.m</b><b>• RegResults.csv</b><b>• hsamples_cond1_adults.RData</b><b>• hsamples_cond1_kids.RData</b><b>• 12 x hsamplesX_adults.RData files where X is a number from 1 to 12</b><b>• 12 x hsamplesX_kids.RData files where X is a number from 1 to 12</b><b>• hmodel_cond1.txt</b><b>• 12 x hmodelX.txt files where X is a number from 1 to 12</b><b>• Adult_PosteriorPredictiveCode.R</b><b>• Kids_PosteriorPredictiveCode.R</b><b>• 12 x kids_posteriorpred_hmodel X.RData files where X is a number from 1 to 12.</b><b>• 12 x adults_posteriorpred_hmodel X.RData files where X is a number from 1 to 12.</b><b>• 12 x ModelX_Adults_PP_Acc.png files where X is a number from 1 to 12.</b><b>• 12 x ModelX_Adults_PP_RT.png files where X is a number from 1 to 12.</b><b>• 12 x ModelX_Kids_PP_Acc.png files where X is a number from 1 to 12.</b><b>• 12 x ModelX_Kids_PP_RT.png files where X is a number from 1 to 12.</b><b>• Cond1_Kids_PP.png</b><b>• Cond1_Adults_PP.png</b><b>• Resplocked_datIn_group2.mat</b><b>• Resplocked_datIn_group1.mat</b><b>• RespLocked_Out_group_2.mat</b><b>• RespLocked_Out_group_1.mat</b><b>• SimpleModel_Stan_v3.R</b>• <b>Zipped folder “CoefficientPosteriorDistributions.zip”</b> containing a total of 11 <b>Coeffs_ModelX_Kids.png</b> files where X is a number from 2 to 12. Additionally, the folder contains 3 <b>Coeffs_ModelX_Adults.png</b> files where X is a number from 6 to 8.<br><b>EXTRACTING EEG MEASURES files</b> are MATLAB scripts that run reliable components analysis and extract EEG slope measures, and the resulting data output which are then input into the diffusion modelling. These files are ExtractEEGmeasuresForModelling.m, Resplocked_datIn_groupX.mat (2 files), RespLocked_Out_groupX.mat (2 files), and RegResults.csv. More details on the content of these datasets are provided in data file <b>DDMTDpaper_DataUpload.docx</b>.<br><b>MODELLING FILES </b>are files required for running diffusion modelling on behavioural and EEG data. These files are myJAGSscript_DDM_TD_manuscript_v2.R, myJAGSscript_DDM_TD_cond1.R, hmodel1.txt – hmodel12.txt (12 files) and hmodel_cond1.txt. More details on the content of these datasets are provided in data file DDMTDpaper_DataUpload.docx.<br><b>MODEL RESULTS</b> are JAGS samples objects resulting from the diffusion modelling. These files consist of hsamplesX_adults.RData (4 datasets), hsamplesX_kids.RData (12 datasets), hsamples_cond1_adults.RData and hsamples_cond1_kids.RData datasets. More details on the content of these datasets are provided in data file DDMTDpaper_DataUpload.docx.A detailed description of the contents of each of the files listed above, is provided in the ReadMe file DDMTDpaper_DataUpload.docx.<br><b>Software needed to access data</b>: .mat data files can be accessed using the MATLAB software. Files in .R and .RData format, can be accessed using the R software.<br><br>
本数据集包含建模相关文件，本次文件集包含以下内容： • demographics_incl.csv • MarkUpFile.docx • DDMTDpaper_DataUpload.docx • EWMAfiltered_4conds_dat.RData • EWMAfiltered_3conds_dat.RData • DataforDDM_041017.csv • EWMAcutoffs.csv • EWMA_3conds.R • EWMA_4conds.R • myJAGSscript_DDM_TD_cond1.R • myJAGSscript_DDM_TD_manuscript_v2.R • ExtractEEGmeasuresForModelling.m • RegResults.csv • hsamples_cond1_adults.RData • hsamples_cond1_kids.RData • 12个hsamplesX_adults.RData文件，其中X为1至12的整数 • 12个hsamplesX_kids.RData文件，其中X为1至12的整数 • hmodel_cond1.txt • 12个hmodelX.txt文件，其中X为1至12的整数 • Adult_PosteriorPredictiveCode.R • Kids_PosteriorPredictiveCode.R • 12个kids_posteriorpred_hmodelX.RData文件，其中X为1至12的整数 • 12个adults_posteriorpred_hmodelX.RData文件，其中X为1至12的整数 • 12个ModelX_Adults_PP_Acc.png文件，其中X为1至12的整数 • 12个ModelX_Adults_PP_RT.png文件，其中X为1至12的整数 • 12个ModelX_Kids_PP_Acc.png文件，其中X为1至12的整数 • 12个ModelX_Kids_PP_RT.png文件，其中X为1至12的整数 • Cond1_Kids_PP.png • Cond1_Adults_PP.png • Resplocked_datIn_group2.mat • Resplocked_datIn_group1.mat • RespLocked_Out_group_2.mat • RespLocked_Out_group_1.mat • SimpleModel_Stan_v3.R • 压缩文件夹"CoefficientPosteriorDistributions.zip"，该文件夹包含11个Coeffs_ModelX_Kids.png文件（X为2至12的整数），以及3个Coeffs_ModelX_Adults.png文件（X为6至8的整数）。 **脑电特征提取文件**：为用于执行可靠成分分析、提取脑电斜率特征，并将所得结果作为扩散建模输入的MATLAB脚本，相关文件包括ExtractEEGmeasuresForModelling.m、Resplocked_datIn_groupX.mat（共2个文件）、RespLocked_Out_groupX.mat（共2个文件）以及RegResults.csv。上述数据集的详细内容请参阅文档DDMTDpaper_DataUpload.docx。 **建模文件**：用于对行为与脑电数据开展扩散建模的必备文件，包括myJAGSscript_DDM_TD_manuscript_v2.R、myJAGSscript_DDM_TD_cond1.R、hmodel1.txt至hmodel12.txt（共12个文件）以及hmodel_cond1.txt。相关数据集的详细内容请参阅文档DDMTDpaper_DataUpload.docx。 **模型结果文件**：指通过扩散建模得到的JAGS采样对象文件，包含hsamplesX_adults.RData（共4个数据集）、hsamplesX_kids.RData（共12个数据集）、hsamples_cond1_adults.RData与hsamples_cond1_kids.RData数据集。相关数据集的详细内容请参阅文档DDMTDpaper_DataUpload.docx。 上述所有列出文件的详细内容说明，均收录于说明文档DDMTDpaper_DataUpload.docx中。 **数据访问所需软件**：.mat格式数据文件需使用MATLAB软件打开；.R与.RData格式文件需使用R软件打开。
