**Study 1**
File structure:
- A-original-data
- `corona_survey_20201109.rds` Raw survey data as delivered by Epinion. **Not made public due to privacy concerns.**
- B-analysis-data
- `clean.rds` Cleaned and anonymised survey data.
- `infections.rds` Infection data scraped from European Centre for Disease Prevention and Control in November 2020
- `model_d12.rds` Main model for condemnation, exported to save computing time
- `model_e12.rds` Main model for blaming the people
- C-code
- `import.r` takes raw corona survey `corona_survey_20201109.rds`, import and clean. export as `clean.rds`
- `analysis.r` produces all figure and tables in the manuscript
- D-documents
- `/figures/` contains all figures. `analysis.r` explain each
- `/tables/` contains all tables. `analysis.r` explain each
**Study 1 session info:**
R version 3.6.3 (2020-02-29)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS Catalina 10.15.7
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.6/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] stats graphics grDevices utils datasets methods base
other attached packages:
[1] stargazer_5.2.2 patchwork_1.0.1 lfe_2.8-5 sjPlot_2.8.4
[5] arm_1.11-1 lme4_1.1-23 Matrix_1.2-18 MASS_7.3-51.5
[9] Hmisc_4.4-0 Formula_1.2-3 survival_3.1-8 lattice_0.20-38
[13] forcats_0.5.0 stringr_1.4.0 dplyr_1.0.1 purrr_0.3.4
[17] readr_1.3.1 tidyr_1.1.2 tibble_3.0.3 ggplot2_3.3.3
[21] tidyverse_1.3.0 rio_0.5.16 lubridate_1.7.8 questionr_0.7.2
loaded via a namespace (and not attached):
[1] minqa_1.2.4 colorspace_1.4-1 ellipsis_0.3.1
[4] sjlabelled_1.1.6 rprojroot_1.3-2 estimability_1.3
[7] htmlTable_1.13.3 parameters_0.7.0 base64enc_0.1-3
[10] fs_1.4.1 rstudioapi_0.11 mvtnorm_1.1-0
[13] fansi_0.4.1 xml2_1.3.2 splines_3.6.3
[16] mnormt_1.5-7 knitr_1.28 sjmisc_2.8.5
[19] jsonlite_1.6.1 nloptr_1.2.2.1 ggeffects_0.16.0
[22] packrat_0.5.0 broom_0.5.6 cluster_2.1.0
[25] dbplyr_1.4.3 png_0.1-7 effectsize_0.3.1
[28] shiny_1.4.0.2 compiler_3.6.3 httr_1.4.1
[31] emmeans_1.5.1 sjstats_0.18.0 backports_1.1.8
[34] assertthat_0.2.1 fastmap_1.0.1 cli_2.0.2
[37] later_1.0.0 acepack_1.4.1 htmltools_0.4.0
[40] tools_3.6.3 coda_0.19-3 gtable_0.3.0
[43] glue_1.4.1 Rcpp_1.0.4.9 cellranger_1.1.0
[46] vctrs_0.3.6 nlme_3.1-144 insight_0.8.4
[49] psych_1.9.12.31 xfun_0.13 openxlsx_4.1.5
[52] rvest_0.3.5 mime_0.9 miniUI_0.1.1.1
[55] lifecycle_0.2.0 statmod_1.4.34 zoo_1.8-8
[58] scales_1.1.1 hms_0.5.3 promises_1.1.0
[61] sandwich_2.5-1 parallel_3.6.3 RColorBrewer_1.1-2
[64] curl_4.3 gridExtra_2.3 labelled_2.7.0
[67] rpart_4.1-15 latticeExtra_0.6-29 stringi_1.4.6
[70] highr_0.8 bayestestR_0.6.0 checkmate_2.0.0
[73] boot_1.3-24 zip_2.0.4 rlang_0.4.10
[76] pkgconfig_2.0.3 htmlwidgets_1.5.3 tidyselect_1.1.0
[79] here_0.1 magrittr_1.5 R6_2.4.1
[82] generics_0.1.0 DBI_1.1.0 pillar_1.4.6
[85] haven_2.3.1 foreign_0.8-75 withr_2.2.0
[88] abind_1.4-5 nnet_7.3-12 performance_0.4.6
[91] modelr_0.1.7 crayon_1.3.4 jpeg_0.1-8.1
[94] grid_3.6.3 readxl_1.3.1 data.table_1.12.8
[97] reprex_0.3.0 digest_0.6.25 xtable_1.8-4
[100] httpuv_1.5.2 munsell_0.5.0
