Last updated: 2020-11-25
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Knit directory: Cant_eMLR/
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Currently, we use combined predictor fields:
predictors <-
read_csv(here::here("data/mapping",
"W18_st_G16_opsn.csv"))lm_all_wide_cstar <-
read_csv(here::here("data/eMLR",
"lm_all_wide_cstar.csv"))lm_all_wide_cstar <- lm_all_wide_cstar %>%
mutate(model = str_remove(model, "cstar ~ "))
cstar <- full_join(predictors, lm_all_wide_cstar)
rm(predictors, lm_all_wide_cstar)cstar <- b_cstar_model(cstar)
cstar <- cstar %>%
select(lon, lat, depth, era, basin, cstar, gamma)cstar_average <- m_cstar_model_average(cstar)
rm(cstar)
cstar_average <- m_cut_gamma(cstar_average, "gamma")For each basin and era combination, the zonal mean cstar is calculated. Likewise, sd is calculated for the averaging of the mean basin fields.
cstar_average <- left_join(cstar_average,
basinmask %>% select(-basin))
cstar_average_zonal <- m_cstar_zonal_mean(cstar_average)
cstar_average_zonal <- m_cut_gamma(cstar_average_zonal, "gamma_mean")cstar_average %>%
write_csv(here::here("data/output",
"cstar_3d.csv"))
cstar_average_zonal %>%
write_csv(here::here("data/output",
"cstar_zonal.csv"))
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] metR_0.7.0 scico_1.2.0 patchwork_1.0.1 collapse_1.3.2
[5] forcats_0.5.0 stringr_1.4.0 dplyr_1.0.0 purrr_0.3.4
[9] readr_1.3.1 tidyr_1.1.0 tibble_3.0.3 ggplot2_3.3.2
[13] tidyverse_1.3.0 workflowr_1.6.2
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 lubridate_1.7.9 here_0.1 lattice_0.20-41
[5] zoo_1.8-8 assertthat_0.2.1 rprojroot_1.3-2 digest_0.6.25
[9] lfe_2.8-5.1 R6_2.4.1 cellranger_1.1.0 backports_1.1.8
[13] reprex_0.3.0 evaluate_0.14 httr_1.4.2 pillar_1.4.6
[17] rlang_0.4.7 readxl_1.3.1 data.table_1.13.0 rstudioapi_0.11
[21] whisker_0.4 blob_1.2.1 Matrix_1.2-18 checkmate_2.0.0
[25] rmarkdown_2.3 munsell_0.5.0 broom_0.7.0 compiler_4.0.2
[29] httpuv_1.5.4 modelr_0.1.8 xfun_0.16 pkgconfig_2.0.3
[33] htmltools_0.5.0 tidyselect_1.1.0 fansi_0.4.1 crayon_1.3.4
[37] dbplyr_1.4.4 withr_2.2.0 later_1.1.0.1 grid_4.0.2
[41] xtable_1.8-4 jsonlite_1.7.0 gtable_0.3.0 lifecycle_0.2.0
[45] DBI_1.1.0 git2r_0.27.1 magrittr_1.5 scales_1.1.1
[49] cli_2.0.2 stringi_1.4.6 fs_1.4.2 promises_1.1.1
[53] xml2_1.3.2 ellipsis_0.3.1 generics_0.0.2 vctrs_0.3.2
[57] sandwich_2.5-1 Formula_1.2-3 tools_4.0.2 glue_1.4.1
[61] hms_0.5.3 parallel_4.0.2 yaml_2.2.1 colorspace_1.4-1
[65] rvest_0.3.6 knitr_1.30 haven_2.3.1