Analysis
Tina Lasisi
January 08, 2022
Last updated: 2022-01-08
Checks: 6 1
Knit directory: HairManikin_manuscript/
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| Rmd | 0a50ef7 | Tina Lasisi | 2022-01-07 | Adding main analysis file |
1 Summary plots
1.1 Heat loss (30C)
Below we plot the heat loss for 30C (see Figure (@fig:plt-drywet-scatter30C)).
Comparison of dry heat loss and wet heat loss (dry + evaporative) for various head coverings at three wind speeds with radiation on and off at 30C. Solid line represents x=y and dashed lines represent 0 intercept for each axis.
1.2 Solar Influx
Below, we plot the same net heat loss as a function of wind speed. Similarly, we see that, in the dry experiments, there is a very clear effect of wig type and no hair, while the wet experiments show a much more pronounced effect of windspeed (see Figure @ref(fig:plt-influx30C)).
Solar influx as a function of wind speed
2 Effect of radiation and evaporation (30C)
Here are plots for the total heat losses recalculated for an ambient temperature of \(30^\circ C\).
What becomes apparent now is that there is a substantial heat gain in the dry condition once solar radiation is added (bottom left). In both wet conditions and without the effect of radiation, the absence of hair clearly associates with higher heat loss see Figure @ref(fig:plt-heat30C)).
Heat loss with radiation off/on (top to bottom) and in dry and wet conditions (left to right) calculated for ambient temperature of 30C. Dashed line represents y=0.
3 Individual plots
3.1 Solar influx
Calculating solar influx per trial
3.2 Estimating dry heat loss at 30C
R version 4.1.2 (2021-11-01)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/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] ggstatsplot_0.9.0 fs_1.5.0 kableExtra_1.3.4 knitr_1.36
[5] forcats_0.5.1 stringr_1.4.0 dplyr_1.0.7 purrr_0.3.4
[9] readr_2.0.2 tidyr_1.1.4 tibble_3.1.5 ggplot2_3.3.5
[13] tidyverse_1.3.1 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] bit64_4.0.5 lubridate_1.8.0 RColorBrewer_1.1-2
[4] insight_0.14.5 webshot_0.5.2 httr_1.4.2
[7] rprojroot_2.0.2 tools_4.1.2 backports_1.2.1
[10] utf8_1.2.2 R6_2.5.1 statsExpressions_1.2.0
[13] DBI_1.1.1 colorspace_2.0-2 withr_2.4.2
[16] tidyselect_1.1.1 bit_4.0.4 compiler_4.1.2
[19] git2r_0.28.0 performance_0.8.0 cli_3.1.0
[22] rvest_1.0.2 xml2_1.3.2 labeling_0.4.2
[25] bayestestR_0.11.5 BWStest_0.2.2 scales_1.1.1
[28] mvtnorm_1.1-3 mc2d_0.1-21 multcompView_0.1-8
[31] systemfonts_1.0.3 digest_0.6.28 rmarkdown_2.11
[34] svglite_2.0.0 WRS2_1.1-3 pkgconfig_2.0.3
[37] htmltools_0.5.2 highr_0.9 dbplyr_2.1.1
[40] fastmap_1.1.0 rlang_0.4.12 readxl_1.3.1
[43] rstudioapi_0.13 SuppDists_1.1-9.5 farver_2.1.0
[46] jquerylib_0.1.4 generics_0.1.0 jsonlite_1.7.2
[49] vroom_1.5.5 magrittr_2.0.1 patchwork_1.1.1
[52] parameters_0.15.0 Rcpp_1.0.7 munsell_0.5.0
[55] fansi_0.5.0 lifecycle_1.0.1 stringi_1.7.5
[58] whisker_0.4 yaml_2.2.1 MASS_7.3-54
[61] plyr_1.8.6 paletteer_1.4.0 grid_4.1.2
[64] parallel_4.1.2 promises_1.2.0.1 crayon_1.4.1
[67] PMCMRplus_1.9.3 haven_2.4.3 hms_1.1.1
[70] zeallot_0.1.0 pillar_1.6.4 kSamples_1.2-9
[73] reprex_2.0.1 glue_1.4.2 evaluate_0.14
[76] modelr_0.1.8 vctrs_0.3.8 tzdb_0.1.2
[79] httpuv_1.6.3 cellranger_1.1.0 gtable_0.3.0
[82] rematch2_2.1.2 reshape_0.8.8 assertthat_0.2.1
[85] datawizard_0.2.1 cachem_1.0.6 xfun_0.27
[88] correlation_0.7.1 broom_0.7.9 Rmpfr_0.8-7
[91] later_1.3.0 viridisLite_0.4.0 memoise_2.0.0
[94] gmp_0.6-2.1 ellipsis_0.3.2