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library(tidyverse)
library(knitr)
library(kableExtra)Following parameterizations were chosen to run analysis and display results:
depth_levels = c(0, 100, 500, 2000)
slabs_Atl <-
c(
-Inf,
26.00,
26.50,
26.75,
27.00,
27.25,
27.50,
27.75,
27.85,
27.95,
28.05,
28.10,
28.15,
28.20,
Inf
)
slabs_Ind_Pac <-
c(-Inf,
26.00,
26.50,
26.75,
27.00,
27.25,
27.50,
27.75,
27.85,
27.95,
28.05,
28.10,
Inf)
parameters <-
lst(
flag_f = 2,
flag_qc = 1,
depth_min = 150,
bottomdepth_min = 500,
lat_max = 65,
year_JGOFS_start = 1981,
year_JGOFS_end = 1999,
year_GOSHIP_end = 2012,
lon_Atl_section = 335.5,
lon_Pac_section = 190.5,
lon_Ind_section = 70.5,
lat_Atl_profile = 40.5,
inventory_depth = 3000,
coarse_grid_resolution = 10,
cruises_meridional = 1041,
predictors_max = 5,
predictors_min = 2,
MLR_number = 10,
depth_levels = depth_levels,
slabs_Atl = slabs_Atl,
slabs_Ind_Pac = slabs_Ind_Pac
)
rm(slabs_Ind_Pac, slabs_Atl, depth_levels)
parameters$flag_f
[1] 2
$flag_qc
[1] 1
$depth_min
[1] 150
$bottomdepth_min
[1] 500
$lat_max
[1] 65
$year_JGOFS_start
[1] 1981
$year_JGOFS_end
[1] 1999
$year_GOSHIP_end
[1] 2012
$lon_Atl_section
[1] 335.5
$lon_Pac_section
[1] 190.5
$lon_Ind_section
[1] 70.5
$lat_Atl_profile
[1] 40.5
$inventory_depth
[1] 3000
$coarse_grid_resolution
[1] 10
$cruises_meridional
[1] 1041
$predictors_max
[1] 5
$predictors_min
[1] 2
$MLR_number
[1] 10
$depth_levels
[1] 0 100 500 2000
$slabs_Atl
[1] -Inf 26.00 26.50 26.75 27.00 27.25 27.50 27.75 27.85 27.95 28.05 28.10
[13] 28.15 28.20 Inf
$slabs_Ind_Pac
[1] -Inf 26.00 26.50 26.75 27.00 27.25 27.50 27.75 27.85 27.95 28.05 28.10
[13] Infparameters %>%
write_rds(here::here("data",
"parameters.rds"))
sessionInfo()R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 18363)
Matrix products: default
locale:
[1] LC_COLLATE=English_Germany.1252 LC_CTYPE=English_Germany.1252
[3] LC_MONETARY=English_Germany.1252 LC_NUMERIC=C
[5] LC_TIME=English_Germany.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] kableExtra_1.1.0 knitr_1.29 forcats_0.5.0 stringr_1.4.0
[5] dplyr_1.0.0 purrr_0.3.4 readr_1.3.1 tidyr_1.1.0
[9] tibble_3.0.3 ggplot2_3.3.2 tidyverse_1.3.0 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] tidyselect_1.1.0 xfun_0.16 haven_2.3.1 colorspace_1.4-1
[5] vctrs_0.3.2 generics_0.0.2 viridisLite_0.3.0 htmltools_0.5.0
[9] yaml_2.2.1 blob_1.2.1 rlang_0.4.7 later_1.1.0.1
[13] pillar_1.4.6 withr_2.2.0 glue_1.4.1 DBI_1.1.0
[17] dbplyr_1.4.4 modelr_0.1.8 readxl_1.3.1 lifecycle_0.2.0
[21] munsell_0.5.0 gtable_0.3.0 cellranger_1.1.0 rvest_0.3.6
[25] evaluate_0.14 httpuv_1.5.4 fansi_0.4.1 broom_0.7.0
[29] Rcpp_1.0.5 promises_1.1.1 backports_1.1.8 scales_1.1.1
[33] webshot_0.5.2 jsonlite_1.7.0 fs_1.4.2 hms_0.5.3
[37] digest_0.6.25 stringi_1.4.6 rprojroot_1.3-2 grid_4.0.2
[41] here_0.1 cli_2.0.2 tools_4.0.2 magrittr_1.5
[45] crayon_1.3.4 whisker_0.4 pkgconfig_2.0.3 ellipsis_0.3.1
[49] xml2_1.3.2 reprex_0.3.0 lubridate_1.7.9 assertthat_0.2.1
[53] rmarkdown_2.3 httr_1.4.2 rstudioapi_0.11 R6_2.4.1
[57] git2r_0.27.1 compiler_4.0.2