Hypothesis testing in metabolic scaling

This repository contains code and data needed to reproduce the working draft:

Barneche DR, Moeller HV, Bernhardt JR, Hypothesis testing in metabolic scaling (in preparation)

Instructions

All figures were drawn in R and are defined in figs.R. This routine loads multiple packages which are found at the top of figs.R, so make sure to successfully install and load them before running the code. This script should take only a few minutes depending on your computing power. Figures will be automatically placed in a directory called output (it is going to be automatically created for you).

These figures were produced using the following software and associated packages:

R version 4.2.2 (2022-10-31)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Ventura 13.2.1

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/lib/libRlapack.dylib

locale:
[1] en_AU.UTF-8/en_AU.UTF-8/en_AU.UTF-8/C/en_AU.UTF-8/en_AU.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] brms_2.18.0     Rcpp_1.0.10     patchwork_1.1.2 forcats_0.5.2   stringr_1.5.0  
 [6] dplyr_1.1.0     purrr_1.0.1     readr_2.1.3     tidyr_1.3.0     tibble_3.1.8   
[11] ggplot2_3.4.1   tidyverse_1.3.2

loaded via a namespace (and not attached):
  [1] TH.data_1.1-1        googledrive_2.0.0    colorspace_2.1-0     ellipsis_0.3.2      
  [5] estimability_1.4.1   markdown_1.5         base64enc_0.1-3      fs_1.6.1            
  [9] farver_2.1.1         rstan_2.21.8         DT_0.27              fansi_1.0.4         
 [13] mvtnorm_1.1-3        lubridate_1.9.0      xml2_1.3.3           splines_4.2.2       
 [17] bridgesampling_1.1-2 codetools_0.2-18     shinythemes_1.2.0    bayesplot_1.10.0    
 [21] jsonlite_1.8.4       broom_1.0.1          dbplyr_2.2.1         shiny_1.7.4         
 [25] compiler_4.2.2       httr_1.4.4           emmeans_1.8.3        backports_1.4.1     
 [29] assertthat_0.2.1     Matrix_1.5-1         fastmap_1.1.0        gargle_1.2.1        
 [33] cli_3.6.0            later_1.3.0          htmltools_0.5.4      prettyunits_1.1.1   
 [37] tools_4.2.2          igraph_1.4.0         coda_0.19-4          gtable_0.3.1        
 [41] glue_1.6.2           reshape2_1.4.4       posterior_1.4.0      cellranger_1.1.0    
 [45] vctrs_0.5.2          nlme_3.1-160         crosstalk_1.2.0      tensorA_0.36.2      
 [49] ps_1.7.2             rvest_1.0.3          timechange_0.1.1     mime_0.12           
 [53] miniUI_0.1.1.1       lifecycle_1.0.3      gtools_3.9.4         googlesheets4_1.0.1 
 [57] MASS_7.3-58.1        zoo_1.8-11           scales_1.2.1         colourpicker_1.2.0  
 [61] ragg_1.2.4           hms_1.1.2            promises_1.2.0.1     Brobdingnag_1.2-9   
 [65] parallel_4.2.2       sandwich_3.0-2       inline_0.3.19        shinystan_2.6.0     
 [69] gridExtra_2.3        loo_2.5.1            StanHeaders_2.21.0-7 stringi_1.7.12      
 [73] dygraphs_1.1.1.6     checkmate_2.1.0      pkgbuild_1.4.0       systemfonts_1.0.4   
 [77] rlang_1.0.6          pkgconfig_2.0.3      matrixStats_0.63.0   distributional_0.3.1
 [81] lattice_0.20-45      labeling_0.4.2       rstantools_2.2.0     htmlwidgets_1.6.1   
 [85] tidyselect_1.2.0     processx_3.8.0       plyr_1.8.8           magrittr_2.0.3      
 [89] R6_2.5.1             generics_0.1.3       multcomp_1.4-20      DBI_1.1.3           
 [93] pillar_1.8.1         haven_2.5.1          withr_2.5.0          xts_0.13.0          
 [97] survival_3.4-0       abind_1.4-5          modelr_0.1.10        crayon_1.5.2        
[101] utf8_1.2.3           tzdb_0.3.0           grid_4.2.2           readxl_1.4.1        
[105] callr_3.7.3          threejs_0.3.3        reprex_2.0.2         digest_0.6.31       
[109] xtable_1.8-4         httpuv_1.6.9         textshaping_0.3.6    RcppParallel_5.1.6  
[113] stats4_4.2.2         munsell_0.5.0        shinyjs_2.1.0

License

This repository is provided by the authors under the MIT License (MIT).

How to download this project for people not familiar with GitHub:

on the project main page on GitHub, click on the green button clone or download and then click on Download ZIP

Bug reporting