This readme file was generated on 2019/03/24 by Timo Roettger
Contact: timo.b.roettger@gmail.com
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### **GENERAL INFORMATION**
#### **Title of data set**
Evidential strength of intonational cues and rational
adaptation to (un-)reliable intonation
#### **Author Information**
**Name**: Timo B. Roettger
**Institution**: Northwestern University, Department of Linguistics
**Email**: timo.b.roettger@gmail.com
**Name**: Michael Franke
**Institution**: University of Osnabrück, Institute for Cognitive Science
#### **Date of data collection**:
October 2017, August 2018
#### **Geographic location of data collection**
Cologne, Germany
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### **SHARING/ACCESS INFORMATION**
#### **Licenses/restrictions placed on the data**:
CC0-BY 4.0
#### **Links to publications that cite or use the data**:
NA
#### **Recommended citation for the data**:
NA
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### **DATA & FILE OVERVIEW**
#### **Project content**
**plots**:
Plots generated by `MT_RF1_plotting` and `MT_RF2_plotting`.
**R_data_import**:
Data files generated during the preprocessing and Bayesian model outputs. Relevant for plotting and results.
**R_scripts**
1. `MT_RF1/2_preprocessing.R` prepares the raw mousetracking data for further processing and stores the data tables in `R_data_import`.
2. `MT_RF1/2_Bayesian_analysis.R` runs Bayesian hierarchical models and stores posteriors into `R_data_import`.
3. `MT_RF1/2_plotting.R` generates figures for manuscript and stores them in `plots`.
4. `MT_RF1_lme4_modelling.R` runs frequentist hierarchical models for experiment 1 (as preregisterd). Due to convergence issues and thus anti-conservative results, these models are not reported on in the manuscript.
**raw_data_RF1**:
Contains raw data output from OpenSesame of experiment 1. These are gathered and processed by the `MT_RF1_preprocessing.R` script.
**raw_data_RF2**:
Contains raw data output from OpenSesame of experiment 2.
These are gathered and processed by the `MT_RF2_preprocessing.R` script.
**subject_info**:
Contains demographic information about participants for both experiments. These are gathered and merged with the raw data by the `MT_RF2_preprocessing.R` script.
**Computational Model**:
Contains two scripts that generate the computational model presented in the paper. `helper_functions.R` contains relevant functions for `model_predictions_dynamic_categorical.R` which generates predictions and plots the results into `../Analysis/plots/`.
**Experiment 1**:
Contains (a) the experimental OpenSesame file to run the experiment and (b) additional files for the preregistration of Experiment 1 (figure and scripts)
**Experiment 2**:
Contains the experimental OpenSesame file to run the experiment. The preregistration of Experiment 2 can be retrieved here: osf.io/eqzj8
**Presentations and Posters**:
Contains presentation related to this project.
**Stimuli**:
Contains the acoustic and the visual stimuli used in the experiment.
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### **METHODOLOGICAL INFORMATION**
#### **Description of methods used for collection/generation of data**:
See **Presentations and Posters** for details or https://osf.io/dnbuk/registrations for the preregistration of Experiment 1 and https://osf.io/49q2r/registrations for the preregistration of Experiment 2.
#### **Methods for processing the data**:
*describe how the submitted data were generated from the raw or collected data*
see above
#### **Instrument- or software-specific information needed to interpret the data**:
R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.6
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] afex_0.21-2 emmeans_1.2.2 lme4_1.1-17 Matrix_1.2-14 rstan_2.17.3
[6] StanHeaders_2.17.2 brms_2.3.5 Rcpp_0.12.17 ggpubr_0.1.7 magrittr_1.5
[11] effects_4.0-1 carData_3.0-1 gridExtra_2.3 ggbeeswarm_0.6.0 ggjoy_0.4.0
[16] ggridges_0.5.0 pkgconfig_2.0.1 pacman_0.4.6 bindrcpp_0.2.2 rstudioapi_0.7
[21] forcats_0.3.0 dplyr_0.7.5 purrr_0.2.4 readr_1.1.1 tidyr_0.8.1
[26] tibble_1.4.2 ggplot2_3.0.0 tidyverse_1.2.1 stringr_1.3.1 mousetrap_3.1.0
[31] readbulk_1.1.0
#### **People involved with sample collection, processing, analysis and/or submission**:
Kim Rimland and Nastassja Bremer have acquired partipants and collected the data.
