Last updated: 2021-08-06

Checks: 7 0

Knit directory: emlr_mod_v_XXX/

This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

R Markdown file: up-to-date

Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

Environment: empty

Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.

Seed: set.seed(20200707)

The command set.seed(20200707) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.

Session information: recorded

Great job! Recording the operating system, R version, and package versions is critical for reproducibility.

Cache: none

Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.

File paths: relative

Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.

Repository version: 90f70da

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version 90f70da. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/

Unstaged changes:
    Modified:   data/auxillary/params_local.rds

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

These are the previous versions of the repository in which changes were made to the R Markdown (analysis/eMLR_assumption_testing.Rmd) and HTML (docs/eMLR_assumption_testing.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File	Version	Author	Date	Message
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html	6c70952	Donghe-Zhu	2021-08-01	Build site.
html	2666bd7	Donghe-Zhu	2021-08-01	Build site.
html	e51cfa2	Donghe-Zhu	2021-08-01	Build site.
html	78cbc18	Donghe-Zhu	2021-08-01	Build site.
html	c55d4d7	Donghe-Zhu	2021-08-01	Build site.
html	26741db	Donghe-Zhu	2021-08-01	Build site.
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html	777b9e9	Donghe-Zhu	2021-08-01	Build site.
html	b110c47	Donghe-Zhu	2021-08-01	Build site.
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html	2080ac5	Donghe-Zhu	2021-07-31	Build site.
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Rmd	8e8abf5	Jens Müller	2020-12-18	Initial commit

1 Required data

Required are:

cleaned and prepared GLODAP-based synthetic cmorized model subsetting file

GLODAP <-
  read_csv(paste(path_version_data,
                 "GLODAPv2.2020_MLR_fitting_ready.csv",
                 sep = ""))

2 Predictor correlation

The correlation between:

pairs of seven potential predictor variables and
C* and seven potential predictor variables

were investigated based on:

property-property plots and
calculated correlation coefficients.

2.1 Correlation plots

For an overview, a random subset of data from all eras was plotted separately for both basins, with color indicating neutral density slabs (high density = dark-purple color).

for (i_basin in unique(GLODAP$basin)) {
# i_basin <- unique(GLODAP$basin)[1]

print(
GLODAP %>% 
  filter(basin == i_basin) %>% 
  sample_frac(0.05) %>% 
  ggpairs(columns = c(params_local$MLR_target,
                      params_local$MLR_predictors),
          upper = "blank",
          ggplot2::aes(col = gamma_slab, fill = gamma_slab, alpha = 0.01)) +
      scale_fill_viridis_d(direction = -1) +
      scale_color_viridis_d(direction = -1) +
      labs(title = paste("Basin:", i_basin ,"| era: all | subsample size: 5 % of",
                         nrow(GLODAP %>% filter(basin == i_basin))))
)
}

Version	Author	Date
90f70da	Donghe-Zhu	2021-08-06
496fa02	Donghe-Zhu	2021-08-05
19ecfe2	Donghe-Zhu	2021-08-05
3253031	Donghe-Zhu	2021-08-05
6c70952	Donghe-Zhu	2021-08-01
2666bd7	Donghe-Zhu	2021-08-01
e51cfa2	Donghe-Zhu	2021-08-01
78cbc18	Donghe-Zhu	2021-08-01
c55d4d7	Donghe-Zhu	2021-08-01
26741db	Donghe-Zhu	2021-08-01
ca539b5	Donghe-Zhu	2021-08-01
1e98138	Donghe-Zhu	2021-08-01
777b9e9	Donghe-Zhu	2021-08-01
b110c47	Donghe-Zhu	2021-08-01
3611a48	Donghe-Zhu	2021-08-01
af832ef	Donghe-Zhu	2021-07-31
016f9ed	Donghe-Zhu	2021-07-31
2080ac5	Donghe-Zhu	2021-07-31
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1f3e5b6	jens-daniel-mueller	2021-01-20
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b3564aa	jens-daniel-mueller	2021-01-14
8d032c3	jens-daniel-mueller	2021-01-14
17dee1d	jens-daniel-mueller	2021-01-13
7cdea0c	jens-daniel-mueller	2021-01-06
fa85b93	jens-daniel-mueller	2021-01-06
e5cb81a	Donghe-Zhu	2021-01-05
a499f10	Donghe-Zhu	2021-01-05
fb8a752	Donghe-Zhu	2020-12-23
8fae0b2	Donghe-Zhu	2020-12-21
c8b76b3	jens-daniel-mueller	2020-12-19

Individual correlation plots for each basin, era and neutral density (gamma) slab are available at:

/nfs/kryo/work/jenmueller/emlr_cant/model/v_XXX/figures/Observations_correlation/

if (params_local$plot_all_figures == "y") {
  
  for (i_basin in unique(GLODAP$basin)) {
    for (i_era in unique(GLODAP$era)) {
      #i_basin <- unique(GLODAP$basin)[1]
      #i_era   <- unique(GLODAP$era)[1]
      
      GLODAP_basin_era <- GLODAP %>%
        filter(basin == i_basin,
               era == i_era)
      
      for (i_gamma_slab in unique(GLODAP_basin_era$gamma_slab)) {
        #i_gamma_slab <- unique(GLODAP_basin_era$gamma_slab)[14]
        
        GLODAP_basin_era_slab <- GLODAP_basin_era %>%
          filter(gamma_slab == i_gamma_slab)
        
        if (nrow(GLODAP_basin_era_slab) > 2) {
          GLODAP_highlight <- GLODAP_basin_era %>%
            mutate(gamma_highlight = if_else(gamma_slab == i_gamma_slab,
                                             "in", "out")) %>%
            arrange(desc(gamma_highlight))
          
          p <- GLODAP_highlight %>%
            ggpairs(
              columns = c(
                params_local$MLR_target,
                params_local$MLR_predictors
              ),
              ggplot2::aes(
                col = gamma_highlight,
                fill = gamma_highlight,
                alpha = 0.01
              )
            ) +
            scale_fill_manual(values = c("red", "grey")) +
            scale_color_manual(values = c("red", "grey")) +
            labs(
              title = paste(
                i_era,
                "|",
                i_basin,
                "| Gamma slab",
                i_gamma_slab,
                "| # obs total",
                nrow(GLODAP_basin_era),
                "| # obs slab",
                nrow(GLODAP_highlight %>%
                       filter(gamma_highlight == "in"))
              )
            )
          
          png(
            filename = paste(
              path_version_figures,
              "Observations_correlation/",
              paste(
                "Predictor_correlation",
                i_era,
                i_basin,
                i_gamma_slab,
                ".png",
                sep = "_"
              ),
              sep = ""
            ),
            width = 12,
            height = 12,
            units = "in",
            res = 300
          )
          
          print(p)
          
          dev.off()
          
        }
      }
    }
  }
  rm(GLODAP_basin_era, GLODAP_basin_era_slab)
}

2.2 Correlation assessment

2.2.1 Calculation of correlation coeffcients

Correlation coefficients were calculated individually within each slabs, era and basin.

for (i_basin in unique(GLODAP$basin)) {
  for (i_era in unique(GLODAP$era)) {
    # i_basin <- unique(GLODAP$basin)[1]
    # i_era   <- unique(GLODAP$era)[1]
    
    GLODAP_basin_era <- GLODAP %>%
      filter(basin == i_basin,
             era == i_era) %>%
      select(basin,
             era,
             gamma_slab,
             params_local$MLR_target,
             params_local$MLR_predictors)
    
    for (i_gamma_slab in unique(GLODAP_basin_era$gamma_slab)) {
      # i_gamma_slab <- unique(GLODAP_basin_era$gamma_slab)[5]
      print(i_gamma_slab)
      
      GLODAP_basin_era_slab <- GLODAP_basin_era %>%
        filter(gamma_slab == i_gamma_slab)
      
      # calculate correlation table
      cor_target_predictor_temp <- GLODAP_basin_era_slab %>%
        select(-c(basin, era, gamma_slab)) %>%
        correlate() %>%
        focus(params_local$MLR_target) %>%
        mutate(basin = i_basin,
               era = i_era,
               gamma_slab = i_gamma_slab)
      
      if (exists("cor_target_predictor")) {
        cor_target_predictor <-
          bind_rows(cor_target_predictor, cor_target_predictor_temp)
      }
      
      if (!exists("cor_target_predictor")) {
        cor_target_predictor <- cor_target_predictor_temp
      }
      
      
      cor_predictors_temp <- GLODAP_basin_era_slab %>%
        select(-c(basin, era, gamma_slab)) %>%
        correlate() %>%
        shave %>%
        stretch() %>%
        filter(!is.na(r),
               x != params_local$MLR_target,
               y != params_local$MLR_target) %>%
        mutate(pair = paste(x, y, sep = " + ")) %>%
        select(-c(x, y)) %>%
        mutate(basin = i_basin,
               era = i_era,
               gamma_slab = i_gamma_slab)
      
      if (exists("cor_predictors")) {
        cor_predictors <- bind_rows(cor_predictors, cor_predictors_temp)
      }
      
      if (!exists("cor_predictors")) {
        cor_predictors <- cor_predictors_temp
      }
      
      
      
    }
  }
}

rm(cor_predictors_temp, cor_target_predictor_temp,
   i_gamma_slab, i_era, i_basin,
   GLODAP_basin_era, GLODAP_basin_era_slab)

2.2.2 Predictor pairs

Below, the range of correlations coefficients for each predictor pair is plotted per basin (facet) and density slab (color). Note that the range indicates the min and max values of in total 3 calculated coefficients (one per era).

# calculate min, max, mean across all eras
cor_predictors_stats <- cor_predictors %>% 
  group_by(pair, basin, gamma_slab) %>% 
  summarise(mean_r = mean(r),
            min_r = min(r),
            max_r = max(r)) %>% 
  ungroup()

# plot figure
cor_predictors_stats %>% 
  mutate(pair = reorder(pair, mean_r)) %>%
  ggplot() +
  geom_vline(xintercept = c(-0.9, 0.9), col = "red") +
  geom_vline(xintercept = 0) +
  geom_linerange(
    aes(y = pair, xmin = min_r, xmax = max_r, col = gamma_slab),
    position = position_dodge(width = 0.6)) +
  facet_wrap(~basin) +
  scale_color_viridis_d(direction = -1) +
  labs(x = "correlation coefficient", y = "") +
  theme(legend.position = "top")

Version	Author	Date
90f70da	Donghe-Zhu	2021-08-06
496fa02	Donghe-Zhu	2021-08-05
19ecfe2	Donghe-Zhu	2021-08-05
3253031	Donghe-Zhu	2021-08-05
6c70952	Donghe-Zhu	2021-08-01
2666bd7	Donghe-Zhu	2021-08-01
e51cfa2	Donghe-Zhu	2021-08-01
78cbc18	Donghe-Zhu	2021-08-01
c55d4d7	Donghe-Zhu	2021-08-01
26741db	Donghe-Zhu	2021-08-01
ca539b5	Donghe-Zhu	2021-08-01
1e98138	Donghe-Zhu	2021-08-01
777b9e9	Donghe-Zhu	2021-08-01
b110c47	Donghe-Zhu	2021-08-01
3611a48	Donghe-Zhu	2021-08-01
af832ef	Donghe-Zhu	2021-07-31
016f9ed	Donghe-Zhu	2021-07-31
2080ac5	Donghe-Zhu	2021-07-31
50f0a16	Donghe-Zhu	2021-07-31
1682579	Donghe-Zhu	2021-07-31
9fa8832	Donghe-Zhu	2021-07-31
4abf542	Donghe-Zhu	2021-07-31
a2483f0	Donghe-Zhu	2021-07-31
3300527	Donghe-Zhu	2021-07-31
afeb6fd	Donghe-Zhu	2021-07-31
cb3ef32	Donghe-Zhu	2021-07-31
6528618	Donghe-Zhu	2021-07-31
f50925e	Donghe-Zhu	2021-07-31
f4de2f3	Donghe-Zhu	2021-07-30
43bc7b4	Donghe-Zhu	2021-07-30
f8c34a8	Donghe-Zhu	2021-07-30
4f897c4	Donghe-Zhu	2021-07-30
0f6e960	Donghe-Zhu	2021-07-30
fe067ea	Donghe-Zhu	2021-07-30
fbca39a	Donghe-Zhu	2021-07-30
f945f95	Donghe-Zhu	2021-07-30
a3006cd	Donghe-Zhu	2021-07-30
a55ffdc	Donghe-Zhu	2021-07-30
d5e4458	Donghe-Zhu	2021-07-30
10a97ef	Donghe-Zhu	2021-07-30
1c501fd	Donghe-Zhu	2021-07-30
68bce3f	Donghe-Zhu	2021-07-30
400c457	Donghe-Zhu	2021-07-29
3ba7852	Donghe-Zhu	2021-07-29
ec68363	Donghe-Zhu	2021-07-28
d3018f6	Donghe-Zhu	2021-07-28
b8ba2c4	Donghe-Zhu	2021-07-28
a4ddd84	Donghe-Zhu	2021-07-27
7ef49ab	Donghe-Zhu	2021-07-27
da818c0	Donghe-Zhu	2021-07-27
8623898	Donghe-Zhu	2021-07-27
f84b77c	Donghe-Zhu	2021-07-27
70ad9a5	Donghe-Zhu	2021-07-27
0d0b48d	Donghe-Zhu	2021-07-27
d0d97c6	Donghe-Zhu	2021-07-27
829510d	Donghe-Zhu	2021-07-27
780627d	Donghe-Zhu	2021-07-27
e9838c9	Donghe-Zhu	2021-07-27
2777f33	Donghe-Zhu	2021-07-27
d19760f	Donghe-Zhu	2021-07-27
cac5680	Donghe-Zhu	2021-07-23
7bb279a	Donghe-Zhu	2021-07-23
d52eac4	Donghe-Zhu	2021-07-23
dcf34b1	Donghe-Zhu	2021-07-23
419cb72	Donghe-Zhu	2021-07-22
9447d10	Donghe-Zhu	2021-07-22
639c9a0	Donghe-Zhu	2021-07-22
25bb96f	Donghe-Zhu	2021-07-22
cdc98a3	Donghe-Zhu	2021-07-22
e4805a1	Donghe-Zhu	2021-07-22
7957fd1	Donghe-Zhu	2021-07-21
b94be4e	Donghe-Zhu	2021-07-21
9950e70	Donghe-Zhu	2021-07-21
698b6f0	Donghe-Zhu	2021-07-20
d84a1cb	Donghe-Zhu	2021-07-20
4dce223	Donghe-Zhu	2021-07-20
6f28c0c	Donghe-Zhu	2021-07-20
db1e7b7	Donghe-Zhu	2021-07-19
ff0575d	Donghe-Zhu	2021-07-19
5d60eac	Donghe-Zhu	2021-07-19
57d0420	Donghe-Zhu	2021-07-16
c1be8f6	Donghe-Zhu	2021-07-16
26a7c15	Donghe-Zhu	2021-07-16
046902b	Donghe-Zhu	2021-07-16
3d4ac14	Donghe-Zhu	2021-07-15
be6fff9	Donghe-Zhu	2021-07-15
b473472	Donghe-Zhu	2021-07-15
363270a	Donghe-Zhu	2021-07-15
8b75a03	Donghe-Zhu	2021-07-15
a01e135	Donghe-Zhu	2021-07-07
bc83ef2	Donghe-Zhu	2021-07-07
75e7b07	Donghe-Zhu	2021-07-06
697aa6d	Donghe-Zhu	2021-07-06
d52e2de	Donghe-Zhu	2021-07-06
f2bde6b	Donghe-Zhu	2021-07-06
1133f28	Donghe-Zhu	2021-07-06
fe3a1cd	Donghe-Zhu	2021-07-06
d9cdf15	Donghe-Zhu	2021-07-06
ee4cd2d	Donghe-Zhu	2021-07-06
93821c1	Donghe-Zhu	2021-07-05
d44db8e	Donghe-Zhu	2021-07-05
20b3436	Donghe-Zhu	2021-07-05
d982ea5	Donghe-Zhu	2021-07-05
7397e53	Donghe-Zhu	2021-07-05
f2e4805	Donghe-Zhu	2021-07-05
e2d011a	Donghe-Zhu	2021-07-05
85e0349	Donghe-Zhu	2021-07-05
6ee0146	Donghe-Zhu	2021-07-05
a482a6b	Donghe-Zhu	2021-07-05
f59f1b3	Donghe-Zhu	2021-07-05
116bcab	Donghe-Zhu	2021-07-04
cb1c8dc	Donghe-Zhu	2021-07-04
c9bdd83	Donghe-Zhu	2021-07-04
1920ad9	Donghe-Zhu	2021-07-04
0b02791	Donghe-Zhu	2021-06-25
caf62d8	Donghe-Zhu	2021-06-25
90a9da5	Donghe-Zhu	2021-06-25
bb413c8	Donghe-Zhu	2021-06-25
e7a5266	Donghe-Zhu	2021-06-24
7c57720	Donghe-Zhu	2021-06-24
b5b95a9	Donghe-Zhu	2021-06-24
472aad4	Donghe-Zhu	2021-06-24
d517836	Donghe-Zhu	2021-06-24
9221bfe	Donghe-Zhu	2021-06-24
bff5fbf	Donghe-Zhu	2021-06-23
256a616	Donghe-Zhu	2021-06-23
00072e2	Donghe-Zhu	2021-06-23
7431530	Donghe-Zhu	2021-06-20
d20c383	Donghe-Zhu	2021-06-18
b0874a2	Donghe-Zhu	2021-06-17
72c2f2e	Donghe-Zhu	2021-06-15
d97dcb6	Donghe-Zhu	2021-06-08
25dda1d	Donghe-Zhu	2021-06-08
bd2bcc3	Donghe-Zhu	2021-06-08
e9b27d7	Donghe-Zhu	2021-06-07
7ae0d4b	Donghe-Zhu	2021-06-07
325391f	Donghe-Zhu	2021-06-07
ed89970	Donghe-Zhu	2021-06-07
df37958	Donghe-Zhu	2021-06-07
812bf63	Donghe-Zhu	2021-06-06
65c89c8	Donghe-Zhu	2021-06-06
9baa3b2	Donghe-Zhu	2021-06-06
b7d99cf	Donghe-Zhu	2021-06-06
5d8fa90	Donghe-Zhu	2021-06-06
dbe2a95	Donghe-Zhu	2021-05-28
d50b039	Donghe-Zhu	2021-05-28
441ebe5	Donghe-Zhu	2021-05-28
6262ad3	Donghe-Zhu	2021-05-28
a61aa77	Donghe-Zhu	2021-05-28
b8dbce4	Donghe-Zhu	2021-05-28
94a833e	Donghe-Zhu	2021-05-27
5e0bd64	Donghe-Zhu	2021-05-27
af1eadd	Donghe-Zhu	2021-05-27
9179bfe	Donghe-Zhu	2021-05-27
28cbe5e	Donghe-Zhu	2021-05-27
a618f02	Donghe-Zhu	2021-05-27
4623e38	Donghe-Zhu	2021-05-27
b81bb49	Donghe-Zhu	2021-05-27
951e188	Donghe-Zhu	2021-05-27
e377833	Donghe-Zhu	2021-05-26
2705a04	Donghe-Zhu	2021-03-28
cd5f759	Donghe-Zhu	2021-03-28
75dda4d	Donghe-Zhu	2021-03-27
0b19f6e	Donghe-Zhu	2021-03-27
e2704ca	Donghe-Zhu	2021-03-27
3061a0b	Donghe-Zhu	2021-03-27
b883157	Donghe-Zhu	2021-03-27
d19654d	Donghe-Zhu	2021-03-26
1914a11	Donghe-Zhu	2021-03-24
8be810e	Donghe-Zhu	2021-03-23
bf19764	Donghe-Zhu	2021-03-22
3ec9d3d	Donghe-Zhu	2021-03-22
134ace1	Donghe-Zhu	2021-03-22
f6d70a4	Donghe-Zhu	2021-03-22
183443b	Donghe-Zhu	2021-03-21
2e6976b	Donghe-Zhu	2021-03-21
51a42bd	Donghe-Zhu	2021-03-16
f745381	Donghe-Zhu	2021-03-16
aecbf75	Donghe-Zhu	2021-03-14
1b2a0c2	Donghe-Zhu	2021-03-14
6733e48	Donghe-Zhu	2021-03-12
ba71e6a	Donghe-Zhu	2021-03-12
9dbf5bd	Donghe-Zhu	2021-03-11
a49df30	Donghe-Zhu	2021-03-11
b3348a5	Donghe-Zhu	2021-03-11
1c24ff7	Donghe-Zhu	2021-03-10
94ce5a8	Donghe-Zhu	2021-03-10
db33928	Donghe-Zhu	2021-03-10
3d1f470	Donghe-Zhu	2021-03-10
9b7bc66	Donghe-Zhu	2021-03-10
5365f80	Donghe-Zhu	2021-03-10
2b6c392	Donghe-Zhu	2021-03-10
9f58753	Donghe-Zhu	2021-03-10
9d5a62c	Donghe-Zhu	2021-03-10
5d1e70b	Donghe-Zhu	2021-03-10
2093979	Donghe-Zhu	2021-03-10
cc2a956	Donghe-Zhu	2021-03-10
17f1c4a	Donghe-Zhu	2021-03-09
02f7242	Donghe-Zhu	2021-03-09
1691156	Donghe-Zhu	2021-03-08
c0ceaf8	Donghe-Zhu	2021-03-08
058e0a1	Donghe-Zhu	2021-03-08
112dea0	Donghe-Zhu	2021-03-08
1843412	Donghe-Zhu	2021-03-08
3fbbfa4	Donghe-Zhu	2021-03-07
627c8fb	Donghe-Zhu	2021-03-07
8c1e978	Donghe-Zhu	2021-03-05
865f68c	Donghe-Zhu	2021-03-05
59288fe	Donghe-Zhu	2021-03-04
731abc8	Donghe-Zhu	2021-03-04
e2a5a33	Donghe-Zhu	2021-03-04
c7892c1	Donghe-Zhu	2021-03-04
924430b	Donghe-Zhu	2021-03-03
0d0bca1	Donghe-Zhu	2021-03-03
cb63c16	Donghe-Zhu	2021-03-03
ffda45a	Donghe-Zhu	2021-03-03
691ba81	Donghe-Zhu	2021-03-03
c5e45a2	Donghe-Zhu	2021-03-03
89c3e58	Donghe-Zhu	2021-03-03
c911669	Donghe-Zhu	2021-03-03
13666ca	Donghe-Zhu	2021-03-01
7a388f7	Donghe-Zhu	2021-03-01
799e913	Donghe-Zhu	2021-03-01
66ff99f	Donghe-Zhu	2021-03-01
ac9bb7a	Donghe-Zhu	2021-02-28
efdc047	Donghe-Zhu	2021-02-28
e9a7418	Donghe-Zhu	2021-02-28
54d5b5b	Donghe-Zhu	2021-02-27
330f064	Donghe-Zhu	2021-02-27
5937141	Donghe-Zhu	2021-02-27
4414bbf	Donghe-Zhu	2021-02-27
a265efb	Donghe-Zhu	2021-02-27
19edd1e	Donghe-Zhu	2021-02-27
f20483f	Donghe-Zhu	2021-02-26
6a2c7b3	Donghe-Zhu	2021-02-25
354c224	Donghe-Zhu	2021-02-24
1a0a88a	Donghe-Zhu	2021-02-24
57f701e	Donghe-Zhu	2021-02-24
06f3149	Donghe-Zhu	2021-02-16
5dce4b1	Donghe-Zhu	2021-02-15
4469a0c	Donghe-Zhu	2021-02-13
5ae6a69	Donghe-Zhu	2021-02-10
05385dc	Donghe-Zhu	2021-02-10
f791ae4	Donghe-Zhu	2021-02-09
f71ae34	Donghe-Zhu	2021-02-09
a145fa7	Donghe-Zhu	2021-02-09
c344e42	Donghe-Zhu	2021-02-08
1fad5f1	Donghe-Zhu	2021-02-07
ca03c39	Donghe-Zhu	2021-02-07
cd7c52c	Donghe-Zhu	2021-02-04
bcf84f4	Donghe-Zhu	2021-02-02
865b582	Donghe-Zhu	2021-01-31
3e68089	Donghe-Zhu	2021-01-31
ecf335c	Donghe-Zhu	2021-01-31
a618965	Donghe-Zhu	2021-01-31
59e006e	Donghe-Zhu	2021-01-31
a1c8f87	Donghe-Zhu	2021-01-31
ae5c18f	Donghe-Zhu	2021-01-31
b50fe52	Donghe-Zhu	2021-01-31
ac99ae5	jens-daniel-mueller	2021-01-29
b5bdcaf	Donghe-Zhu	2021-01-29
372adf5	Donghe-Zhu	2021-01-29
af8788e	Donghe-Zhu	2021-01-29
21c91c9	Donghe-Zhu	2021-01-29
eded038	Donghe-Zhu	2021-01-29
541d4dd	Donghe-Zhu	2021-01-29
6a75576	Donghe-Zhu	2021-01-28
16fba40	Donghe-Zhu	2021-01-28
12bc567	Donghe-Zhu	2021-01-27
ceed31b	Donghe-Zhu	2021-01-27
342402d	Donghe-Zhu	2021-01-27
5bad5c2	Donghe-Zhu	2021-01-27
61efb56	Donghe-Zhu	2021-01-25
48f638e	Donghe-Zhu	2021-01-25
c1cec47	Donghe-Zhu	2021-01-25
05ffb0c	Donghe-Zhu	2021-01-25
8b97165	Donghe-Zhu	2021-01-25
c569946	Donghe-Zhu	2021-01-24
a2f0d56	Donghe-Zhu	2021-01-23
28509fc	Donghe-Zhu	2021-01-23
4c28e4a	Donghe-Zhu	2021-01-22
24cc264	jens-daniel-mueller	2021-01-22
7891955	Donghe-Zhu	2021-01-21
d4cf1cb	Donghe-Zhu	2021-01-21
1f3e5b6	jens-daniel-mueller	2021-01-20
0e7bdf1	jens-daniel-mueller	2021-01-15
4571843	jens-daniel-mueller	2021-01-14
b3564aa	jens-daniel-mueller	2021-01-14
8d032c3	jens-daniel-mueller	2021-01-14
17dee1d	jens-daniel-mueller	2021-01-13
e5cb81a	Donghe-Zhu	2021-01-05
a499f10	Donghe-Zhu	2021-01-05
8fae0b2	Donghe-Zhu	2020-12-21
c8b76b3	jens-daniel-mueller	2020-12-19

# print table
kable(cor_predictors_stats) %>%
  add_header_above() %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "400px")

pair	basin	gamma_slab	mean_r	min_r	max_r
aou + nitrate	global	(-Inf,26]	0.9208363	0.9086884	0.9330093
aou + nitrate	global	(26,26.5]	0.8956297	0.8639901	0.9230495
aou + nitrate	global	(26.5,26.75]	0.9016608	0.8878358	0.9097879
aou + nitrate	global	(26.75,27]	0.9033736	0.8971638	0.9119764
aou + nitrate	global	(27,27.25]	0.9258861	0.9183517	0.9364705
aou + nitrate	global	(27.25,27.5]	0.9170989	0.8987887	0.9280967
aou + nitrate	global	(27.5,27.75]	0.8907703	0.8710040	0.9118586
aou + nitrate	global	(27.75,27.85]	0.9006325	0.8823860	0.9191127
aou + nitrate	global	(27.85,27.95]	0.9225623	0.9075071	0.9324689
aou + nitrate	global	(27.95,28.05]	0.9335760	0.9253577	0.9402692
aou + nitrate	global	(28.05,28.1]	0.9504240	0.9433557	0.9564095
aou + nitrate	global	(28.1,28.15]	0.9739153	0.9651500	0.9831586
aou + nitrate	global	(28.1,28.2]	0.9906013	0.9863773	0.9940907
aou + nitrate	global	(28.15,28.2]	0.9783603	0.9686823	0.9851086
aou + nitrate	global	(28.2, Inf]	0.9253614	0.8897675	0.9490012
aou + nitrate	global	(28.2,28.3]	0.9839291	0.9773355	0.9893033
aou + nitrate	global	(28.3, Inf]	0.9438647	0.9231108	0.9650268
aou + phosphate	global	(-Inf,26]	0.9581816	0.9503357	0.9634175
aou + phosphate	global	(26,26.5]	0.9620900	0.9586046	0.9641829
aou + phosphate	global	(26.5,26.75]	0.9641388	0.9559389	0.9725585
aou + phosphate	global	(26.75,27]	0.9544124	0.9503208	0.9619354
aou + phosphate	global	(27,27.25]	0.9476284	0.9285562	0.9633244
aou + phosphate	global	(27.25,27.5]	0.9295516	0.9102231	0.9440691
aou + phosphate	global	(27.5,27.75]	0.8966739	0.8745072	0.9221692
aou + phosphate	global	(27.75,27.85]	0.9032814	0.8853767	0.9206529
aou + phosphate	global	(27.85,27.95]	0.9252927	0.9103873	0.9343303
aou + phosphate	global	(27.95,28.05]	0.9369888	0.9282454	0.9433887
aou + phosphate	global	(28.05,28.1]	0.9545942	0.9481471	0.9597668
aou + phosphate	global	(28.1,28.15]	0.9721832	0.9627567	0.9818846
aou + phosphate	global	(28.1,28.2]	0.9948297	0.9934696	0.9966912
aou + phosphate	global	(28.15,28.2]	0.9813013	0.9718091	0.9871152
aou + phosphate	global	(28.2, Inf]	0.9112090	0.8696148	0.9510141
aou + phosphate	global	(28.2,28.3]	0.9918687	0.9901353	0.9950821
aou + phosphate	global	(28.3, Inf]	0.9365370	0.9199734	0.9571457
aou + phosphate_star	global	(-Inf,26]	0.5257056	0.4837060	0.5477815
aou + phosphate_star	global	(26,26.5]	0.6056370	0.5368905	0.6440585
aou + phosphate_star	global	(26.5,26.75]	0.6160038	0.5594650	0.7048160
aou + phosphate_star	global	(26.75,27]	0.5919197	0.5301874	0.6413072
aou + phosphate_star	global	(27,27.25]	0.5554916	0.4158492	0.6737630
aou + phosphate_star	global	(27.25,27.5]	0.4812842	0.3530158	0.5674952
aou + phosphate_star	global	(27.5,27.75]	0.4465720	0.3522087	0.5660625
aou + phosphate_star	global	(27.75,27.85]	0.4960164	0.4360527	0.5536412
aou + phosphate_star	global	(27.85,27.95]	0.5492662	0.5206876	0.5812730
aou + phosphate_star	global	(27.95,28.05]	0.5507906	0.3713857	0.6637329
aou + phosphate_star	global	(28.05,28.1]	0.6529812	0.5412820	0.7196815
aou + phosphate_star	global	(28.1,28.15]	0.9193293	0.8943249	0.9458669
aou + phosphate_star	global	(28.1,28.2]	-0.1285092	-0.2980004	-0.0421033
aou + phosphate_star	global	(28.15,28.2]	0.9357538	0.9068395	0.9548096
aou + phosphate_star	global	(28.2, Inf]	0.8075382	0.7312244	0.8816142
aou + phosphate_star	global	(28.2,28.3]	-0.0885732	-0.2366018	0.0123009
aou + phosphate_star	global	(28.3, Inf]	-0.8400247	-0.8575844	-0.8082040
aou + silicate	global	(-Inf,26]	0.7528714	0.6733427	0.8334182
aou + silicate	global	(26,26.5]	0.8236176	0.8092370	0.8331212
aou + silicate	global	(26.5,26.75]	0.8250802	0.8077554	0.8535970
aou + silicate	global	(26.75,27]	0.8363482	0.8153935	0.8766977
aou + silicate	global	(27,27.25]	0.8608540	0.7936615	0.9272835
aou + silicate	global	(27.25,27.5]	0.8903336	0.8305921	0.9377422
aou + silicate	global	(27.5,27.75]	0.8864640	0.8341417	0.9129036
aou + silicate	global	(27.75,27.85]	0.9204630	0.8961209	0.9341596
aou + silicate	global	(27.85,27.95]	0.9489184	0.9303337	0.9611709
aou + silicate	global	(27.95,28.05]	0.9689478	0.9646072	0.9763939
aou + silicate	global	(28.05,28.1]	0.9880549	0.9860758	0.9906325
aou + silicate	global	(28.1,28.15]	0.9562305	0.9489135	0.9628005
aou + silicate	global	(28.1,28.2]	0.9804406	0.9781389	0.9832185
aou + silicate	global	(28.15,28.2]	0.9612331	0.9583065	0.9628404
aou + silicate	global	(28.2, Inf]	0.6831241	0.6095264	0.8157958
aou + silicate	global	(28.2,28.3]	0.9018334	0.8864818	0.9253135
aou + silicate	global	(28.3, Inf]	0.8481081	0.8157953	0.8800259
nitrate + phosphate	global	(-Inf,26]	0.9569240	0.9508953	0.9621749
nitrate + phosphate	global	(26,26.5]	0.9311647	0.8945602	0.9547713
nitrate + phosphate	global	(26.5,26.75]	0.9360310	0.9159635	0.9507140
nitrate + phosphate	global	(26.75,27]	0.9296133	0.9253207	0.9379471
nitrate + phosphate	global	(27,27.25]	0.9508477	0.9401810	0.9597060
nitrate + phosphate	global	(27.25,27.5]	0.9694730	0.9627031	0.9787764
nitrate + phosphate	global	(27.5,27.75]	0.9889185	0.9855301	0.9919945
nitrate + phosphate	global	(27.75,27.85]	0.9979709	0.9975487	0.9982268
nitrate + phosphate	global	(27.85,27.95]	0.9992331	0.9989486	0.9993904
nitrate + phosphate	global	(27.95,28.05]	0.9995346	0.9991381	0.9997591
nitrate + phosphate	global	(28.05,28.1]	0.9995352	0.9992280	0.9997298
nitrate + phosphate	global	(28.1,28.15]	0.9995801	0.9995187	0.9996493
nitrate + phosphate	global	(28.1,28.2]	0.9972078	0.9951469	0.9982650
nitrate + phosphate	global	(28.15,28.2]	0.9974301	0.9972551	0.9976643
nitrate + phosphate	global	(28.2, Inf]	0.9936418	0.9929185	0.9942469
nitrate + phosphate	global	(28.2,28.3]	0.9919026	0.9878997	0.9950434
nitrate + phosphate	global	(28.3, Inf]	0.9847398	0.9802155	0.9888346
nitrate + phosphate_star	global	(-Inf,26]	0.7148222	0.7049892	0.7220229
nitrate + phosphate_star	global	(26,26.5]	0.7634692	0.6931464	0.8043248
nitrate + phosphate_star	global	(26.5,26.75]	0.7672692	0.7056132	0.8235803
nitrate + phosphate_star	global	(26.75,27]	0.7329605	0.6783077	0.7712370
nitrate + phosphate_star	global	(27,27.25]	0.7060304	0.6250053	0.7892945
nitrate + phosphate_star	global	(27.25,27.5]	0.7080315	0.6376544	0.7480631
nitrate + phosphate_star	global	(27.5,27.75]	0.7737159	0.7363164	0.8171451
nitrate + phosphate_star	global	(27.75,27.85]	0.8181945	0.8018352	0.8314742
nitrate + phosphate_star	global	(27.85,27.95]	0.8256598	0.8088222	0.8405674
nitrate + phosphate_star	global	(27.95,28.05]	0.8079994	0.6940647	0.8831035
nitrate + phosphate_star	global	(28.05,28.1]	0.8537306	0.7884672	0.8968462
nitrate + phosphate_star	global	(28.1,28.15]	0.9830576	0.9792174	0.9870260
nitrate + phosphate_star	global	(28.1,28.2]	-0.0087838	-0.2040259	0.0991440
nitrate + phosphate_star	global	(28.15,28.2]	0.9852668	0.9805559	0.9876890
nitrate + phosphate_star	global	(28.2, Inf]	0.9627509	0.9529789	0.9750898
nitrate + phosphate_star	global	(28.2,28.3]	0.0592962	-0.1205173	0.1837246
nitrate + phosphate_star	global	(28.3, Inf]	-0.6276876	-0.7022817	-0.5336276
nitrate + silicate	global	(-Inf,26]	0.8258147	0.7762595	0.8997396
nitrate + silicate	global	(26,26.5]	0.8906591	0.8437967	0.9208828
nitrate + silicate	global	(26.5,26.75]	0.8958432	0.8630157	0.9168114
nitrate + silicate	global	(26.75,27]	0.8905985	0.8608625	0.9164161
nitrate + silicate	global	(27,27.25]	0.9054445	0.8766616	0.9407315
nitrate + silicate	global	(27.25,27.5]	0.9254695	0.8926966	0.9565097
nitrate + silicate	global	(27.5,27.75]	0.9553098	0.9299426	0.9755650
nitrate + silicate	global	(27.75,27.85]	0.9776938	0.9691308	0.9850888
nitrate + silicate	global	(27.85,27.95]	0.9802273	0.9727789	0.9842068
nitrate + silicate	global	(27.95,28.05]	0.9793838	0.9755827	0.9814716
nitrate + silicate	global	(28.05,28.1]	0.9771525	0.9759174	0.9783151
nitrate + silicate	global	(28.1,28.15]	0.9792235	0.9752475	0.9827311
nitrate + silicate	global	(28.1,28.2]	0.9809591	0.9781564	0.9849661
nitrate + silicate	global	(28.15,28.2]	0.9527294	0.9458329	0.9621105
nitrate + silicate	global	(28.2, Inf]	0.7842868	0.7595287	0.8198717
nitrate + silicate	global	(28.2,28.3]	0.8964627	0.8821442	0.9208030
nitrate + silicate	global	(28.3, Inf]	0.8897495	0.8540450	0.9119590
phosphate + phosphate_star	global	(-Inf,26]	0.7272095	0.7023858	0.7425345
phosphate + phosphate_star	global	(26,26.5]	0.7952743	0.7393408	0.8255757
phosphate + phosphate_star	global	(26.5,26.75]	0.7985354	0.7570301	0.8446920
phosphate + phosphate_star	global	(26.75,27]	0.8001285	0.7618217	0.8211217
phosphate + phosphate_star	global	(27,27.25]	0.7818222	0.7166782	0.8376933
phosphate + phosphate_star	global	(27.25,27.5]	0.7619748	0.7027599	0.7978360
phosphate + phosphate_star	global	(27.5,27.75]	0.7911446	0.7568920	0.8363715
phosphate + phosphate_star	global	(27.75,27.85]	0.8191386	0.8030774	0.8337550
phosphate + phosphate_star	global	(27.85,27.95]	0.8236261	0.8076262	0.8370792
phosphate + phosphate_star	global	(27.95,28.05]	0.8035902	0.6892708	0.8790599
phosphate + phosphate_star	global	(28.05,28.1]	0.8472666	0.7798988	0.8913488
phosphate + phosphate_star	global	(28.1,28.15]	0.9851642	0.9815773	0.9891610
phosphate + phosphate_star	global	(28.1,28.2]	-0.0312427	-0.2215746	0.0658480
phosphate + phosphate_star	global	(28.15,28.2]	0.9851204	0.9796495	0.9889421
phosphate + phosphate_star	global	(28.2, Inf]	0.9747342	0.9666956	0.9807851
phosphate + phosphate_star	global	(28.2,28.3]	0.0266668	-0.1536505	0.1423985
phosphate + phosphate_star	global	(28.3, Inf]	-0.6058424	-0.6796375	-0.5220868
sal + aou	global	(-Inf,26]	-0.0900557	-0.1032322	-0.0787474
sal + aou	global	(26,26.5]	-0.4865044	-0.5638254	-0.3562014
sal + aou	global	(26.5,26.75]	-0.4649333	-0.5543542	-0.3497032
sal + aou	global	(26.75,27]	-0.4307370	-0.5481014	-0.2381856
sal + aou	global	(27,27.25]	-0.3999383	-0.5394804	-0.2722878
sal + aou	global	(27.25,27.5]	-0.2956704	-0.3780582	-0.1838836
sal + aou	global	(27.5,27.75]	-0.1837894	-0.3067875	-0.0050934
sal + aou	global	(27.75,27.85]	-0.2412096	-0.3399823	-0.1023578
sal + aou	global	(27.85,27.95]	-0.2478743	-0.3095111	-0.1750832
sal + aou	global	(27.95,28.05]	-0.1920679	-0.3313858	0.0397705
sal + aou	global	(28.05,28.1]	-0.3081539	-0.4239265	-0.1287014
sal + aou	global	(28.1,28.15]	-0.8776433	-0.9121114	-0.8489114
sal + aou	global	(28.1,28.2]	0.8200176	0.7873641	0.8747241
sal + aou	global	(28.15,28.2]	-0.8583740	-0.8861873	-0.8254678
sal + aou	global	(28.2, Inf]	-0.8371783	-0.8807988	-0.7618644
sal + aou	global	(28.2,28.3]	0.6375429	0.5795663	0.6864054
sal + aou	global	(28.3, Inf]	0.8391757	0.7062271	0.9062860
sal + nitrate	global	(-Inf,26]	-0.2314317	-0.2909021	-0.1841153
sal + nitrate	global	(26,26.5]	-0.6919176	-0.7390204	-0.5998579
sal + nitrate	global	(26.5,26.75]	-0.6622422	-0.7174801	-0.5638185
sal + nitrate	global	(26.75,27]	-0.6001907	-0.6995323	-0.4080707
sal + nitrate	global	(27,27.25]	-0.5351286	-0.6284457	-0.4766916
sal + nitrate	global	(27.25,27.5]	-0.4423671	-0.5014092	-0.4098667
sal + nitrate	global	(27.5,27.75]	-0.3883496	-0.4559220	-0.2629541
sal + nitrate	global	(27.75,27.85]	-0.5518798	-0.6000648	-0.4637893
sal + nitrate	global	(27.85,27.95]	-0.5497504	-0.5958395	-0.5124286
sal + nitrate	global	(27.95,28.05]	-0.4929536	-0.5962208	-0.3201396
sal + nitrate	global	(28.05,28.1]	-0.5776192	-0.6709596	-0.4435220
sal + nitrate	global	(28.1,28.15]	-0.9454762	-0.9489823	-0.9417586
sal + nitrate	global	(28.1,28.2]	0.7546116	0.6927518	0.8339046
sal + nitrate	global	(28.15,28.2]	-0.9305554	-0.9347016	-0.9224507
sal + nitrate	global	(28.2, Inf]	-0.9221469	-0.9411738	-0.8918873
sal + nitrate	global	(28.2,28.3]	0.5419890	0.4886283	0.6188009
sal + nitrate	global	(28.3, Inf]	0.7370465	0.5972943	0.8494092
sal + phosphate	global	(-Inf,26]	-0.2407573	-0.2569798	-0.2226948
sal + phosphate	global	(26,26.5]	-0.6744787	-0.7349428	-0.5600229
sal + phosphate	global	(26.5,26.75]	-0.6527177	-0.7074163	-0.5594283
sal + phosphate	global	(26.75,27]	-0.6318432	-0.7184593	-0.4638303
sal + phosphate	global	(27,27.25]	-0.5892278	-0.6578929	-0.5434332
sal + phosphate	global	(27.25,27.5]	-0.4992618	-0.5448915	-0.4741242
sal + phosphate	global	(27.5,27.75]	-0.4230981	-0.4818985	-0.3063624
sal + phosphate	global	(27.75,27.85]	-0.5562190	-0.6068829	-0.4677615
sal + phosphate	global	(27.85,27.95]	-0.5491512	-0.5933477	-0.5126454
sal + phosphate	global	(27.95,28.05]	-0.4863198	-0.5889044	-0.3139682
sal + phosphate	global	(28.05,28.1]	-0.5657906	-0.6583232	-0.4302441
sal + phosphate	global	(28.1,28.15]	-0.9462629	-0.9509468	-0.9408457
sal + phosphate	global	(28.1,28.2]	0.7822835	0.7397372	0.8515670
sal + phosphate	global	(28.15,28.2]	-0.9090458	-0.9137036	-0.9009743
sal + phosphate	global	(28.2, Inf]	-0.8866974	-0.9022816	-0.8564972
sal + phosphate	global	(28.2,28.3]	0.6101879	0.5438030	0.6823504
sal + phosphate	global	(28.3, Inf]	0.7993805	0.6652148	0.8966816
sal + phosphate_star	global	(-Inf,26]	-0.6459679	-0.7351153	-0.5440221
sal + phosphate_star	global	(26,26.5]	-0.9396910	-0.9503162	-0.9249243
sal + phosphate_star	global	(26.5,26.75]	-0.9428246	-0.9684601	-0.9293572
sal + phosphate_star	global	(26.75,27]	-0.9167386	-0.9554574	-0.8578667
sal + phosphate_star	global	(27,27.25]	-0.8834436	-0.9083510	-0.8704540
sal + phosphate_star	global	(27.25,27.5]	-0.7956738	-0.8469284	-0.7617631
sal + phosphate_star	global	(27.5,27.75]	-0.6983634	-0.7232180	-0.6793216
sal + phosphate_star	global	(27.75,27.85]	-0.8380450	-0.8554884	-0.8110919
sal + phosphate_star	global	(27.85,27.95]	-0.8659304	-0.8812118	-0.8469150
sal + phosphate_star	global	(27.95,28.05]	-0.8663185	-0.8749783	-0.8494078
sal + phosphate_star	global	(28.05,28.1]	-0.9043315	-0.9129449	-0.8911065
sal + phosphate_star	global	(28.1,28.15]	-0.9721223	-0.9837161	-0.9649714
sal + phosphate_star	global	(28.1,28.2]	-0.4680179	-0.5331549	-0.4123097
sal + phosphate_star	global	(28.15,28.2]	-0.9418781	-0.9474294	-0.9367580
sal + phosphate_star	global	(28.2, Inf]	-0.8846322	-0.9080218	-0.8672859
sal + phosphate_star	global	(28.2,28.3]	-0.4522654	-0.4902173	-0.4297885
sal + phosphate_star	global	(28.3, Inf]	-0.7188453	-0.7828627	-0.6035032
sal + silicate	global	(-Inf,26]	-0.4407951	-0.5440121	-0.3399692
sal + silicate	global	(26,26.5]	-0.6682101	-0.7124813	-0.5945266
sal + silicate	global	(26.5,26.75]	-0.7356341	-0.7700722	-0.6795731
sal + silicate	global	(26.75,27]	-0.7453354	-0.7929038	-0.6632308
sal + silicate	global	(27,27.25]	-0.7147731	-0.7305865	-0.6945560
sal + silicate	global	(27.25,27.5]	-0.5855065	-0.5916822	-0.5802089
sal + silicate	global	(27.5,27.75]	-0.4905655	-0.5547292	-0.4159089
sal + silicate	global	(27.75,27.85]	-0.5602021	-0.6239776	-0.4895725
sal + silicate	global	(27.85,27.95]	-0.5137042	-0.5367083	-0.4975089
sal + silicate	global	(27.95,28.05]	-0.3970625	-0.5351210	-0.1995684
sal + silicate	global	(28.05,28.1]	-0.4287181	-0.5388306	-0.2746322
sal + silicate	global	(28.1,28.15]	-0.9392921	-0.9471749	-0.9262645
sal + silicate	global	(28.1,28.2]	0.8087723	0.7625758	0.8737753
sal + silicate	global	(28.15,28.2]	-0.8060771	-0.8131272	-0.7938019
sal + silicate	global	(28.2, Inf]	-0.5587583	-0.6383099	-0.5061779
sal + silicate	global	(28.2,28.3]	0.7507490	0.7081254	0.8300145
sal + silicate	global	(28.3, Inf]	0.8317108	0.7063085	0.9198128
sal + temp	global	(-Inf,26]	0.6645055	0.4097489	0.8498012
sal + temp	global	(26,26.5]	0.9693599	0.9649979	0.9730700
sal + temp	global	(26.5,26.75]	0.9877254	0.9868416	0.9885306
sal + temp	global	(26.75,27]	0.9848767	0.9825709	0.9865976
sal + temp	global	(27,27.25]	0.9847276	0.9836635	0.9856214
sal + temp	global	(27.25,27.5]	0.9732152	0.9729396	0.9735053
sal + temp	global	(27.5,27.75]	0.9483124	0.9436379	0.9524597
sal + temp	global	(27.75,27.85]	0.9742778	0.9720916	0.9773084
sal + temp	global	(27.85,27.95]	0.9563652	0.9479758	0.9698288
sal + temp	global	(27.95,28.05]	0.9487617	0.9387582	0.9548249
sal + temp	global	(28.05,28.1]	0.9607084	0.9570232	0.9655925
sal + temp	global	(28.1,28.15]	0.9638711	0.9607245	0.9661205
sal + temp	global	(28.1,28.2]	0.8689315	0.8333238	0.8947965
sal + temp	global	(28.15,28.2]	0.9604925	0.9558585	0.9671920
sal + temp	global	(28.2, Inf]	0.9042982	0.8775816	0.9239203
sal + temp	global	(28.2,28.3]	0.8840964	0.8588512	0.9122773
sal + temp	global	(28.3, Inf]	0.8667700	0.7029206	0.9546555
silicate + phosphate	global	(-Inf,26]	0.8130572	0.7538345	0.8882796
silicate + phosphate	global	(26,26.5]	0.8776626	0.8724590	0.8867862
silicate + phosphate	global	(26.5,26.75]	0.8899862	0.8849394	0.8985606
silicate + phosphate	global	(26.75,27]	0.9076967	0.8907076	0.9245493
silicate + phosphate	global	(27,27.25]	0.9308229	0.9142503	0.9519109
silicate + phosphate	global	(27.25,27.5]	0.9486483	0.9289086	0.9667886
silicate + phosphate	global	(27.5,27.75]	0.9677190	0.9503893	0.9799711
silicate + phosphate	global	(27.75,27.85]	0.9806390	0.9736977	0.9863045
silicate + phosphate	global	(27.85,27.95]	0.9823367	0.9760929	0.9855551
silicate + phosphate	global	(27.95,28.05]	0.9814958	0.9785284	0.9831450
silicate + phosphate	global	(28.05,28.1]	0.9800120	0.9786436	0.9808891
silicate + phosphate	global	(28.1,28.15]	0.9838227	0.9807741	0.9864615
silicate + phosphate	global	(28.1,28.2]	0.9833791	0.9814857	0.9862632
silicate + phosphate	global	(28.15,28.2]	0.9700964	0.9651999	0.9766679
silicate + phosphate	global	(28.2, Inf]	0.8461800	0.8283494	0.8764992
silicate + phosphate	global	(28.2,28.3]	0.9194017	0.9083017	0.9384324
silicate + phosphate	global	(28.3, Inf]	0.9518535	0.9355423	0.9605808
silicate + phosphate_star	global	(-Inf,26]	0.7124202	0.6236877	0.7638583
silicate + phosphate_star	global	(26,26.5]	0.7625857	0.7386597	0.7868650
silicate + phosphate_star	global	(26.5,26.75]	0.8139746	0.7925441	0.8436536
silicate + phosphate_star	global	(26.75,27]	0.8213521	0.8145863	0.8304307
silicate + phosphate_star	global	(27,27.25]	0.8119909	0.8017530	0.8174820
silicate + phosphate_star	global	(27.25,27.5]	0.7440736	0.7130621	0.7911340
silicate + phosphate_star	global	(27.5,27.75]	0.7592258	0.7264908	0.8119929
silicate + phosphate_star	global	(27.75,27.85]	0.7653182	0.7493874	0.7890111
silicate + phosphate_star	global	(27.85,27.95]	0.7564962	0.7451548	0.7648854
silicate + phosphate_star	global	(27.95,28.05]	0.7123475	0.5811282	0.8032506
silicate + phosphate_star	global	(28.05,28.1]	0.7410093	0.6566487	0.7961657
silicate + phosphate_star	global	(28.1,28.15]	0.9726783	0.9712714	0.9753851
silicate + phosphate_star	global	(28.1,28.2]	-0.0386119	-0.2129094	0.0514855
silicate + phosphate_star	global	(28.15,28.2]	0.9405604	0.9330874	0.9490543
silicate + phosphate_star	global	(28.2, Inf]	0.8513243	0.8373201	0.8611244
silicate + phosphate_star	global	(28.2,28.3]	0.0197417	-0.1484663	0.1158511
silicate + phosphate_star	global	(28.3, Inf]	-0.5051367	-0.5808276	-0.4267860
temp + aou	global	(-Inf,26]	-0.3502483	-0.4194100	-0.2703987
temp + aou	global	(26,26.5]	-0.4760449	-0.5583178	-0.3438491
temp + aou	global	(26.5,26.75]	-0.4492514	-0.5349954	-0.3326970
temp + aou	global	(26.75,27]	-0.4339276	-0.5284623	-0.2677279
temp + aou	global	(27,27.25]	-0.4021902	-0.5315292	-0.2924474
temp + aou	global	(27.25,27.5]	-0.2935322	-0.3867190	-0.1780263
temp + aou	global	(27.5,27.75]	-0.1585899	-0.2739131	0.0224408
temp + aou	global	(27.75,27.85]	-0.1924580	-0.2921487	-0.0427346
temp + aou	global	(27.85,27.95]	-0.1478352	-0.2223721	-0.1035219
temp + aou	global	(27.95,28.05]	-0.0548007	-0.2299573	0.2065737
temp + aou	global	(28.05,28.1]	-0.1683144	-0.3035335	0.0323952
temp + aou	global	(28.1,28.15]	-0.7790571	-0.8281785	-0.7399038
temp + aou	global	(28.1,28.2]	0.7621246	0.7156885	0.8346382
temp + aou	global	(28.15,28.2]	-0.8054306	-0.8470215	-0.7525483
temp + aou	global	(28.2, Inf]	-0.7200683	-0.7836321	-0.5953710
temp + aou	global	(28.2,28.3]	0.7392990	0.7065835	0.7882095
temp + aou	global	(28.3, Inf]	0.9578732	0.9418449	0.9684867
temp + nitrate	global	(-Inf,26]	-0.5444815	-0.6046178	-0.4804753
temp + nitrate	global	(26,26.5]	-0.6920731	-0.7401157	-0.5997014
temp + nitrate	global	(26.5,26.75]	-0.6538639	-0.7110416	-0.5598948
temp + nitrate	global	(26.75,27]	-0.6177850	-0.7020276	-0.4584130
temp + nitrate	global	(27,27.25]	-0.5408685	-0.6236598	-0.4976484
temp + nitrate	global	(27.25,27.5]	-0.4415963	-0.5085360	-0.4058861
temp + nitrate	global	(27.5,27.75]	-0.3681699	-0.4416056	-0.2371814
temp + nitrate	global	(27.75,27.85]	-0.5196991	-0.5700542	-0.4205683
temp + nitrate	global	(27.85,27.95]	-0.4599885	-0.5139451	-0.4149401
temp + nitrate	global	(27.95,28.05]	-0.3623746	-0.5087485	-0.1517539
temp + nitrate	global	(28.05,28.1]	-0.4429852	-0.5600041	-0.2818586
temp + nitrate	global	(28.1,28.15]	-0.8800084	-0.8853568	-0.8753019
temp + nitrate	global	(28.1,28.2]	0.6787261	0.6041116	0.7779777
temp + nitrate	global	(28.15,28.2]	-0.8947502	-0.9026876	-0.8789969
temp + nitrate	global	(28.2, Inf]	-0.8578595	-0.9374513	-0.7811049
temp + nitrate	global	(28.2,28.3]	0.6332049	0.5854237	0.7164550
temp + nitrate	global	(28.3, Inf]	0.8544785	0.7908203	0.9005132
temp + phosphate	global	(-Inf,26]	-0.4995380	-0.5797151	-0.4312454
temp + phosphate	global	(26,26.5]	-0.6709640	-0.7382187	-0.5511627
temp + phosphate	global	(26.5,26.75]	-0.6387656	-0.6991144	-0.5443037
temp + phosphate	global	(26.75,27]	-0.6361043	-0.7173112	-0.4934422
temp + phosphate	global	(27,27.25]	-0.5833640	-0.6434618	-0.5528498
temp + phosphate	global	(27.25,27.5]	-0.4912308	-0.5469538	-0.4633319
temp + phosphate	global	(27.5,27.75]	-0.3948149	-0.4594815	-0.2728403
temp + phosphate	global	(27.75,27.85]	-0.5225119	-0.5754525	-0.4228751
temp + phosphate	global	(27.85,27.95]	-0.4589626	-0.5111740	-0.4152031
temp + phosphate	global	(27.95,28.05]	-0.3559574	-0.5016143	-0.1457393
temp + phosphate	global	(28.05,28.1]	-0.4307744	-0.5465423	-0.2686359
temp + phosphate	global	(28.1,28.15]	-0.8850084	-0.8910939	-0.8791216
temp + phosphate	global	(28.1,28.2]	0.7040169	0.6447402	0.7947314
temp + phosphate	global	(28.15,28.2]	-0.8837637	-0.8958367	-0.8663676
temp + phosphate	global	(28.2, Inf]	-0.8546991	-0.9337064	-0.7808678
temp + phosphate	global	(28.2,28.3]	0.6892864	0.6425170	0.7709616
temp + phosphate	global	(28.3, Inf]	0.8744134	0.8267326	0.9169387
temp + phosphate_star	global	(-Inf,26]	-0.8744219	-0.9134846	-0.8343000
temp + phosphate_star	global	(26,26.5]	-0.9586638	-0.9717980	-0.9350774
temp + phosphate_star	global	(26.5,26.75]	-0.9428970	-0.9738757	-0.9248833
temp + phosphate_star	global	(26.75,27]	-0.9273540	-0.9596592	-0.8815039
temp + phosphate_star	global	(27,27.25]	-0.8741189	-0.9051666	-0.8578945
temp + phosphate_star	global	(27.25,27.5]	-0.7895317	-0.8416569	-0.7503634
temp + phosphate_star	global	(27.5,27.75]	-0.6855998	-0.7098678	-0.6609912
temp + phosphate_star	global	(27.75,27.85]	-0.8368237	-0.8587406	-0.8018347
temp + phosphate_star	global	(27.85,27.95]	-0.8237682	-0.8372399	-0.8138869
temp + phosphate_star	global	(27.95,28.05]	-0.7965524	-0.8057096	-0.7872048
temp + phosphate_star	global	(28.05,28.1]	-0.8189475	-0.8422946	-0.7909637
temp + phosphate_star	global	(28.1,28.15]	-0.9442404	-0.9539801	-0.9374022
temp + phosphate_star	global	(28.1,28.2]	-0.6944273	-0.7412953	-0.6562703
temp + phosphate_star	global	(28.15,28.2]	-0.9427544	-0.9461774	-0.9407468
temp + phosphate_star	global	(28.2, Inf]	-0.9134179	-0.9695899	-0.8693372
temp + phosphate_star	global	(28.2,28.3]	-0.5991142	-0.6052078	-0.5889542
temp + phosphate_star	global	(28.3, Inf]	-0.8812561	-0.8935761	-0.8717059
temp + silicate	global	(-Inf,26]	-0.5706104	-0.6873225	-0.3780162
temp + silicate	global	(26,26.5]	-0.6799163	-0.7285776	-0.6021427
temp + silicate	global	(26.5,26.75]	-0.7315622	-0.7630381	-0.6812024
temp + silicate	global	(26.75,27]	-0.7499151	-0.7911412	-0.6894099
temp + silicate	global	(27,27.25]	-0.7172961	-0.7424970	-0.6901981
temp + silicate	global	(27.25,27.5]	-0.5952051	-0.5994116	-0.5926729
temp + silicate	global	(27.5,27.75]	-0.4747353	-0.5418909	-0.3904904
temp + silicate	global	(27.75,27.85]	-0.5254278	-0.5913100	-0.4426695
temp + silicate	global	(27.85,27.95]	-0.4260735	-0.4600369	-0.3823024
temp + silicate	global	(27.95,28.05]	-0.2750798	-0.4533272	-0.0406798
temp + silicate	global	(28.05,28.1]	-0.2982390	-0.4302061	-0.1194237
temp + silicate	global	(28.1,28.15]	-0.8928720	-0.9079389	-0.8812935
temp + silicate	global	(28.1,28.2]	0.6840222	0.6292056	0.7718373
temp + silicate	global	(28.15,28.2]	-0.8024442	-0.8280852	-0.7880507
temp + silicate	global	(28.2, Inf]	-0.6895909	-0.7272672	-0.6286090
temp + silicate	global	(28.2,28.3]	0.7159316	0.6653459	0.8131764
temp + silicate	global	(28.3, Inf]	0.8277196	0.7838972	0.8773536

rm(cor_predictors, cor_predictors_stats)

2.2.3 C* vs individual predictors

Below, the range of correlations coefficients for C* with each predictor is plotted per basin (facet) and density slab (color). Note that the range indicates the min and max values of in total 3 calculated coefficients (one per era).

cor_target_predictor <- cor_target_predictor %>% 
  rename(predictor = term)

# calculate min, max, mean across all eras
cor_target_predictor_stats <- cor_target_predictor %>%
  select(-era) %>% 
  group_by(predictor, basin, gamma_slab) %>% 
  summarise_all(list(mean_r = mean, min_r = min, max_r = max)) %>% 
  ungroup()

# plot figure
cor_target_predictor_stats %>% 
  mutate(predictor = reorder(predictor, mean_r)) %>%
  ggplot() +
  geom_vline(xintercept = c(-0.9, 0.9), col = "red") +
  geom_vline(xintercept = 0) +
  geom_linerange(
    aes(y = predictor, xmin = min_r, xmax = max_r, col = gamma_slab),
    position = position_dodge(width = 0.6)) +
  facet_wrap(~basin) +
  scale_color_viridis_d(direction = -1) +
  labs(x = "correlation coefficient", y = "C* correlation with...") +
  theme(legend.position = "top")

Version	Author	Date
90f70da	Donghe-Zhu	2021-08-06
496fa02	Donghe-Zhu	2021-08-05
19ecfe2	Donghe-Zhu	2021-08-05
3253031	Donghe-Zhu	2021-08-05
6c70952	Donghe-Zhu	2021-08-01
2666bd7	Donghe-Zhu	2021-08-01
e51cfa2	Donghe-Zhu	2021-08-01
78cbc18	Donghe-Zhu	2021-08-01
c55d4d7	Donghe-Zhu	2021-08-01
26741db	Donghe-Zhu	2021-08-01
ca539b5	Donghe-Zhu	2021-08-01
1e98138	Donghe-Zhu	2021-08-01
777b9e9	Donghe-Zhu	2021-08-01
b110c47	Donghe-Zhu	2021-08-01
3611a48	Donghe-Zhu	2021-08-01
af832ef	Donghe-Zhu	2021-07-31
016f9ed	Donghe-Zhu	2021-07-31
2080ac5	Donghe-Zhu	2021-07-31
50f0a16	Donghe-Zhu	2021-07-31
1682579	Donghe-Zhu	2021-07-31
9fa8832	Donghe-Zhu	2021-07-31
4abf542	Donghe-Zhu	2021-07-31
a2483f0	Donghe-Zhu	2021-07-31
3300527	Donghe-Zhu	2021-07-31
afeb6fd	Donghe-Zhu	2021-07-31
cb3ef32	Donghe-Zhu	2021-07-31
6528618	Donghe-Zhu	2021-07-31
f50925e	Donghe-Zhu	2021-07-31
f4de2f3	Donghe-Zhu	2021-07-30
43bc7b4	Donghe-Zhu	2021-07-30
f8c34a8	Donghe-Zhu	2021-07-30
4f897c4	Donghe-Zhu	2021-07-30
0f6e960	Donghe-Zhu	2021-07-30
fe067ea	Donghe-Zhu	2021-07-30
fbca39a	Donghe-Zhu	2021-07-30
f945f95	Donghe-Zhu	2021-07-30
a3006cd	Donghe-Zhu	2021-07-30
a55ffdc	Donghe-Zhu	2021-07-30
d5e4458	Donghe-Zhu	2021-07-30
10a97ef	Donghe-Zhu	2021-07-30
1c501fd	Donghe-Zhu	2021-07-30
68bce3f	Donghe-Zhu	2021-07-30
400c457	Donghe-Zhu	2021-07-29
3ba7852	Donghe-Zhu	2021-07-29
ec68363	Donghe-Zhu	2021-07-28
d3018f6	Donghe-Zhu	2021-07-28
b8ba2c4	Donghe-Zhu	2021-07-28
a4ddd84	Donghe-Zhu	2021-07-27
7ef49ab	Donghe-Zhu	2021-07-27
da818c0	Donghe-Zhu	2021-07-27
8623898	Donghe-Zhu	2021-07-27
f84b77c	Donghe-Zhu	2021-07-27
70ad9a5	Donghe-Zhu	2021-07-27
0d0b48d	Donghe-Zhu	2021-07-27
d0d97c6	Donghe-Zhu	2021-07-27
829510d	Donghe-Zhu	2021-07-27
780627d	Donghe-Zhu	2021-07-27
e9838c9	Donghe-Zhu	2021-07-27
2777f33	Donghe-Zhu	2021-07-27
d19760f	Donghe-Zhu	2021-07-27
cac5680	Donghe-Zhu	2021-07-23
7bb279a	Donghe-Zhu	2021-07-23
d52eac4	Donghe-Zhu	2021-07-23
dcf34b1	Donghe-Zhu	2021-07-23
419cb72	Donghe-Zhu	2021-07-22
9447d10	Donghe-Zhu	2021-07-22
639c9a0	Donghe-Zhu	2021-07-22
25bb96f	Donghe-Zhu	2021-07-22
cdc98a3	Donghe-Zhu	2021-07-22
e4805a1	Donghe-Zhu	2021-07-22
7957fd1	Donghe-Zhu	2021-07-21
b94be4e	Donghe-Zhu	2021-07-21
9950e70	Donghe-Zhu	2021-07-21
698b6f0	Donghe-Zhu	2021-07-20
d84a1cb	Donghe-Zhu	2021-07-20
4dce223	Donghe-Zhu	2021-07-20
6f28c0c	Donghe-Zhu	2021-07-20
db1e7b7	Donghe-Zhu	2021-07-19
ff0575d	Donghe-Zhu	2021-07-19
5d60eac	Donghe-Zhu	2021-07-19
57d0420	Donghe-Zhu	2021-07-16
c1be8f6	Donghe-Zhu	2021-07-16
26a7c15	Donghe-Zhu	2021-07-16
046902b	Donghe-Zhu	2021-07-16
3d4ac14	Donghe-Zhu	2021-07-15
be6fff9	Donghe-Zhu	2021-07-15
b473472	Donghe-Zhu	2021-07-15
363270a	Donghe-Zhu	2021-07-15
8b75a03	Donghe-Zhu	2021-07-15
a01e135	Donghe-Zhu	2021-07-07
bc83ef2	Donghe-Zhu	2021-07-07
75e7b07	Donghe-Zhu	2021-07-06
697aa6d	Donghe-Zhu	2021-07-06
d52e2de	Donghe-Zhu	2021-07-06
f2bde6b	Donghe-Zhu	2021-07-06
1133f28	Donghe-Zhu	2021-07-06
fe3a1cd	Donghe-Zhu	2021-07-06
d9cdf15	Donghe-Zhu	2021-07-06
ee4cd2d	Donghe-Zhu	2021-07-06
93821c1	Donghe-Zhu	2021-07-05
d44db8e	Donghe-Zhu	2021-07-05
20b3436	Donghe-Zhu	2021-07-05
d982ea5	Donghe-Zhu	2021-07-05
7397e53	Donghe-Zhu	2021-07-05
f2e4805	Donghe-Zhu	2021-07-05
e2d011a	Donghe-Zhu	2021-07-05
85e0349	Donghe-Zhu	2021-07-05
6ee0146	Donghe-Zhu	2021-07-05
a482a6b	Donghe-Zhu	2021-07-05
f59f1b3	Donghe-Zhu	2021-07-05
116bcab	Donghe-Zhu	2021-07-04
cb1c8dc	Donghe-Zhu	2021-07-04
c9bdd83	Donghe-Zhu	2021-07-04
1920ad9	Donghe-Zhu	2021-07-04
0b02791	Donghe-Zhu	2021-06-25
caf62d8	Donghe-Zhu	2021-06-25
90a9da5	Donghe-Zhu	2021-06-25
bb413c8	Donghe-Zhu	2021-06-25
e7a5266	Donghe-Zhu	2021-06-24
7c57720	Donghe-Zhu	2021-06-24
b5b95a9	Donghe-Zhu	2021-06-24
472aad4	Donghe-Zhu	2021-06-24
d517836	Donghe-Zhu	2021-06-24
9221bfe	Donghe-Zhu	2021-06-24
bff5fbf	Donghe-Zhu	2021-06-23
256a616	Donghe-Zhu	2021-06-23
00072e2	Donghe-Zhu	2021-06-23
7431530	Donghe-Zhu	2021-06-20
d20c383	Donghe-Zhu	2021-06-18
b0874a2	Donghe-Zhu	2021-06-17
72c2f2e	Donghe-Zhu	2021-06-15
d97dcb6	Donghe-Zhu	2021-06-08
25dda1d	Donghe-Zhu	2021-06-08
bd2bcc3	Donghe-Zhu	2021-06-08
e9b27d7	Donghe-Zhu	2021-06-07
7ae0d4b	Donghe-Zhu	2021-06-07
325391f	Donghe-Zhu	2021-06-07
ed89970	Donghe-Zhu	2021-06-07
df37958	Donghe-Zhu	2021-06-07
812bf63	Donghe-Zhu	2021-06-06
65c89c8	Donghe-Zhu	2021-06-06
9baa3b2	Donghe-Zhu	2021-06-06
b7d99cf	Donghe-Zhu	2021-06-06
5d8fa90	Donghe-Zhu	2021-06-06
dbe2a95	Donghe-Zhu	2021-05-28
d50b039	Donghe-Zhu	2021-05-28
441ebe5	Donghe-Zhu	2021-05-28
6262ad3	Donghe-Zhu	2021-05-28
a61aa77	Donghe-Zhu	2021-05-28
b8dbce4	Donghe-Zhu	2021-05-28
94a833e	Donghe-Zhu	2021-05-27
5e0bd64	Donghe-Zhu	2021-05-27
af1eadd	Donghe-Zhu	2021-05-27
9179bfe	Donghe-Zhu	2021-05-27
28cbe5e	Donghe-Zhu	2021-05-27
a618f02	Donghe-Zhu	2021-05-27
4623e38	Donghe-Zhu	2021-05-27
b81bb49	Donghe-Zhu	2021-05-27
951e188	Donghe-Zhu	2021-05-27
e377833	Donghe-Zhu	2021-05-26
2705a04	Donghe-Zhu	2021-03-28
cd5f759	Donghe-Zhu	2021-03-28
75dda4d	Donghe-Zhu	2021-03-27
0b19f6e	Donghe-Zhu	2021-03-27
e2704ca	Donghe-Zhu	2021-03-27
3061a0b	Donghe-Zhu	2021-03-27
b883157	Donghe-Zhu	2021-03-27
d19654d	Donghe-Zhu	2021-03-26
1914a11	Donghe-Zhu	2021-03-24
8be810e	Donghe-Zhu	2021-03-23
bf19764	Donghe-Zhu	2021-03-22
3ec9d3d	Donghe-Zhu	2021-03-22
134ace1	Donghe-Zhu	2021-03-22
f6d70a4	Donghe-Zhu	2021-03-22
183443b	Donghe-Zhu	2021-03-21
2e6976b	Donghe-Zhu	2021-03-21
51a42bd	Donghe-Zhu	2021-03-16
f745381	Donghe-Zhu	2021-03-16
aecbf75	Donghe-Zhu	2021-03-14
1b2a0c2	Donghe-Zhu	2021-03-14
6733e48	Donghe-Zhu	2021-03-12
ba71e6a	Donghe-Zhu	2021-03-12
9dbf5bd	Donghe-Zhu	2021-03-11
a49df30	Donghe-Zhu	2021-03-11
b3348a5	Donghe-Zhu	2021-03-11
1c24ff7	Donghe-Zhu	2021-03-10
94ce5a8	Donghe-Zhu	2021-03-10
db33928	Donghe-Zhu	2021-03-10
3d1f470	Donghe-Zhu	2021-03-10
9b7bc66	Donghe-Zhu	2021-03-10
5365f80	Donghe-Zhu	2021-03-10
2b6c392	Donghe-Zhu	2021-03-10
9f58753	Donghe-Zhu	2021-03-10
9d5a62c	Donghe-Zhu	2021-03-10
5d1e70b	Donghe-Zhu	2021-03-10
2093979	Donghe-Zhu	2021-03-10
cc2a956	Donghe-Zhu	2021-03-10
17f1c4a	Donghe-Zhu	2021-03-09
02f7242	Donghe-Zhu	2021-03-09
1691156	Donghe-Zhu	2021-03-08
c0ceaf8	Donghe-Zhu	2021-03-08
058e0a1	Donghe-Zhu	2021-03-08
112dea0	Donghe-Zhu	2021-03-08
1843412	Donghe-Zhu	2021-03-08
3fbbfa4	Donghe-Zhu	2021-03-07
627c8fb	Donghe-Zhu	2021-03-07
8c1e978	Donghe-Zhu	2021-03-05
865f68c	Donghe-Zhu	2021-03-05
ee69bc1	Donghe-Zhu	2021-03-05
a79291f	Donghe-Zhu	2021-03-05
e8c6f30	Donghe-Zhu	2021-03-04
59288fe	Donghe-Zhu	2021-03-04
731abc8	Donghe-Zhu	2021-03-04
e2a5a33	Donghe-Zhu	2021-03-04
c7892c1	Donghe-Zhu	2021-03-04
924430b	Donghe-Zhu	2021-03-03
0d0bca1	Donghe-Zhu	2021-03-03
cb63c16	Donghe-Zhu	2021-03-03
ffda45a	Donghe-Zhu	2021-03-03
691ba81	Donghe-Zhu	2021-03-03
c5e45a2	Donghe-Zhu	2021-03-03
89c3e58	Donghe-Zhu	2021-03-03
c911669	Donghe-Zhu	2021-03-03
13666ca	Donghe-Zhu	2021-03-01
7a388f7	Donghe-Zhu	2021-03-01
799e913	Donghe-Zhu	2021-03-01
66ff99f	Donghe-Zhu	2021-03-01
ac9bb7a	Donghe-Zhu	2021-02-28
efdc047	Donghe-Zhu	2021-02-28
e9a7418	Donghe-Zhu	2021-02-28
54d5b5b	Donghe-Zhu	2021-02-27
330f064	Donghe-Zhu	2021-02-27
5937141	Donghe-Zhu	2021-02-27
4414bbf	Donghe-Zhu	2021-02-27
a265efb	Donghe-Zhu	2021-02-27
19edd1e	Donghe-Zhu	2021-02-27
f20483f	Donghe-Zhu	2021-02-26
6a2c7b3	Donghe-Zhu	2021-02-25
354c224	Donghe-Zhu	2021-02-24
1a0a88a	Donghe-Zhu	2021-02-24
57f701e	Donghe-Zhu	2021-02-24
06f3149	Donghe-Zhu	2021-02-16
5dce4b1	Donghe-Zhu	2021-02-15
4469a0c	Donghe-Zhu	2021-02-13
5ae6a69	Donghe-Zhu	2021-02-10
05385dc	Donghe-Zhu	2021-02-10
f791ae4	Donghe-Zhu	2021-02-09
f71ae34	Donghe-Zhu	2021-02-09
a145fa7	Donghe-Zhu	2021-02-09
c344e42	Donghe-Zhu	2021-02-08
1fad5f1	Donghe-Zhu	2021-02-07
ca03c39	Donghe-Zhu	2021-02-07
cd7c52c	Donghe-Zhu	2021-02-04
bcf84f4	Donghe-Zhu	2021-02-02
865b582	Donghe-Zhu	2021-01-31
3e68089	Donghe-Zhu	2021-01-31
ecf335c	Donghe-Zhu	2021-01-31
a618965	Donghe-Zhu	2021-01-31
59e006e	Donghe-Zhu	2021-01-31
a1c8f87	Donghe-Zhu	2021-01-31
ae5c18f	Donghe-Zhu	2021-01-31
b50fe52	Donghe-Zhu	2021-01-31
ac99ae5	jens-daniel-mueller	2021-01-29
b5bdcaf	Donghe-Zhu	2021-01-29
372adf5	Donghe-Zhu	2021-01-29
af8788e	Donghe-Zhu	2021-01-29
21c91c9	Donghe-Zhu	2021-01-29
eded038	Donghe-Zhu	2021-01-29
541d4dd	Donghe-Zhu	2021-01-29
6a75576	Donghe-Zhu	2021-01-28
16fba40	Donghe-Zhu	2021-01-28
12bc567	Donghe-Zhu	2021-01-27
ceed31b	Donghe-Zhu	2021-01-27
342402d	Donghe-Zhu	2021-01-27
5bad5c2	Donghe-Zhu	2021-01-27
61efb56	Donghe-Zhu	2021-01-25
48f638e	Donghe-Zhu	2021-01-25
c1cec47	Donghe-Zhu	2021-01-25
05ffb0c	Donghe-Zhu	2021-01-25
8b97165	Donghe-Zhu	2021-01-25
c569946	Donghe-Zhu	2021-01-24
a2f0d56	Donghe-Zhu	2021-01-23
28509fc	Donghe-Zhu	2021-01-23
4c28e4a	Donghe-Zhu	2021-01-22
24cc264	jens-daniel-mueller	2021-01-22
7891955	Donghe-Zhu	2021-01-21
d4cf1cb	Donghe-Zhu	2021-01-21
1f3e5b6	jens-daniel-mueller	2021-01-20
0e7bdf1	jens-daniel-mueller	2021-01-15
4571843	jens-daniel-mueller	2021-01-14
b3564aa	jens-daniel-mueller	2021-01-14
8d032c3	jens-daniel-mueller	2021-01-14
17dee1d	jens-daniel-mueller	2021-01-13
7cdea0c	jens-daniel-mueller	2021-01-06
fa85b93	jens-daniel-mueller	2021-01-06
e5cb81a	Donghe-Zhu	2021-01-05
a499f10	Donghe-Zhu	2021-01-05
fb8a752	Donghe-Zhu	2020-12-23
8fae0b2	Donghe-Zhu	2020-12-21
c8b76b3	jens-daniel-mueller	2020-12-19

# print table
kable(cor_target_predictor_stats) %>%
  add_header_above() %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "400px")

predictor	basin	gamma_slab	mean_r	min_r	max_r
aou	global	(-Inf,26]	0.0853751	-0.0902197	0.2497598
aou	global	(26,26.5]	-0.5762563	-0.6183876	-0.5174143
aou	global	(26.5,26.75]	-0.7117416	-0.7285671	-0.6925123
aou	global	(26.75,27]	-0.7243198	-0.7542928	-0.6852957
aou	global	(27,27.25]	-0.6151425	-0.7010992	-0.4832689
aou	global	(27.25,27.5]	-0.5319039	-0.6391636	-0.4240304
aou	global	(27.5,27.75]	-0.4762092	-0.5837356	-0.4135138
aou	global	(27.75,27.85]	-0.4942097	-0.5546958	-0.4518922
aou	global	(27.85,27.95]	-0.5386272	-0.5758504	-0.5066531
aou	global	(27.95,28.05]	-0.5661616	-0.6198816	-0.5042530
aou	global	(28.05,28.1]	-0.6260502	-0.6667105	-0.5746925
aou	global	(28.1,28.15]	-0.9608970	-0.9642954	-0.9571224
aou	global	(28.1,28.2]	0.4145957	0.2728119	0.5452611
aou	global	(28.15,28.2]	-0.9635998	-0.9750149	-0.9510036
aou	global	(28.2, Inf]	-0.8351914	-0.8839788	-0.7922908
aou	global	(28.2,28.3]	0.4621319	0.3677759	0.6125489
aou	global	(28.3, Inf]	0.0142810	-0.1239963	0.1951907
nitrate	global	(-Inf,26]	0.1018244	-0.0714498	0.2636333
nitrate	global	(26,26.5]	-0.6398536	-0.7064576	-0.5634634
nitrate	global	(26.5,26.75]	-0.7650522	-0.7970489	-0.7351799
nitrate	global	(26.75,27]	-0.7466252	-0.7571605	-0.7262520
nitrate	global	(27,27.25]	-0.6961999	-0.7615514	-0.6042125
nitrate	global	(27.25,27.5]	-0.7390315	-0.7912227	-0.6802846
nitrate	global	(27.5,27.75]	-0.7897290	-0.8235629	-0.7662282
nitrate	global	(27.75,27.85]	-0.8091678	-0.8221722	-0.8000953
nitrate	global	(27.85,27.95]	-0.8086148	-0.8165622	-0.7992031
nitrate	global	(27.95,28.05]	-0.8043346	-0.8412983	-0.7699216
nitrate	global	(28.05,28.1]	-0.8245851	-0.8518115	-0.7978694
nitrate	global	(28.1,28.15]	-0.9909222	-0.9921485	-0.9900852
nitrate	global	(28.1,28.2]	0.4772314	0.3387627	0.5921940
nitrate	global	(28.15,28.2]	-0.9913055	-0.9924452	-0.9901351
nitrate	global	(28.2, Inf]	-0.9652578	-0.9805001	-0.9543403
nitrate	global	(28.2,28.3]	0.5495594	0.4795688	0.6718967
nitrate	global	(28.3, Inf]	-0.1153241	-0.3142700	0.0580344
phosphate	global	(-Inf,26]	0.0529462	-0.1055602	0.2331670
phosphate	global	(26,26.5]	-0.6649437	-0.7069218	-0.6371424
phosphate	global	(26.5,26.75]	-0.8096025	-0.8220088	-0.7941634
phosphate	global	(26.75,27]	-0.8327429	-0.8449304	-0.8236669
phosphate	global	(27,27.25]	-0.7622519	-0.8182395	-0.7047743
phosphate	global	(27.25,27.5]	-0.7606892	-0.8071286	-0.7207395
phosphate	global	(27.5,27.75]	-0.7885888	-0.8228854	-0.7656570
phosphate	global	(27.75,27.85]	-0.8058719	-0.8194498	-0.7959495
phosphate	global	(27.85,27.95]	-0.8040313	-0.8127024	-0.7932260
phosphate	global	(27.95,28.05]	-0.8002625	-0.8377791	-0.7657002
phosphate	global	(28.05,28.1]	-0.8195870	-0.8489887	-0.7906460
phosphate	global	(28.1,28.15]	-0.9908285	-0.9917900	-0.9897729
phosphate	global	(28.1,28.2]	0.4383376	0.3069938	0.5693200
phosphate	global	(28.15,28.2]	-0.9909964	-0.9925274	-0.9898412
phosphate	global	(28.2, Inf]	-0.9780305	-0.9792728	-0.9769851
phosphate	global	(28.2,28.3]	0.4820198	0.3764303	0.6408426
phosphate	global	(28.3, Inf]	-0.1924091	-0.3408980	-0.0522469
phosphate_star	global	(-Inf,26]	0.1885201	0.0739561	0.2904333
phosphate_star	global	(26,26.5]	-0.6113258	-0.6628449	-0.5261485
phosphate_star	global	(26.5,26.75]	-0.7453032	-0.7912298	-0.6830835
phosphate_star	global	(26.75,27]	-0.7397274	-0.7731221	-0.6951365
phosphate_star	global	(27,27.25]	-0.6878107	-0.7250174	-0.6558043
phosphate_star	global	(27.25,27.5]	-0.7983105	-0.8315124	-0.7618510
phosphate_star	global	(27.5,27.75]	-0.8968641	-0.9071566	-0.8851408
phosphate_star	global	(27.75,27.85]	-0.9574563	-0.9658239	-0.9480558
phosphate_star	global	(27.85,27.95]	-0.9526244	-0.9595013	-0.9409620
phosphate_star	global	(27.95,28.05]	-0.9351328	-0.9522241	-0.9101285
phosphate_star	global	(28.05,28.1]	-0.9602930	-0.9694473	-0.9468988
phosphate_star	global	(28.1,28.15]	-0.9718939	-0.9789012	-0.9628089
phosphate_star	global	(28.1,28.2]	0.3783888	0.2942395	0.4774365
phosphate_star	global	(28.15,28.2]	-0.9801348	-0.9855600	-0.9759847
phosphate_star	global	(28.2, Inf]	-0.9721786	-0.9807149	-0.9555834
phosphate_star	global	(28.2,28.3]	0.3212737	0.2716233	0.3734016
phosphate_star	global	(28.3, Inf]	-0.2669908	-0.4490551	-0.1615733
sal	global	(-Inf,26]	0.0560171	-0.2610479	0.4693841
sal	global	(26,26.5]	0.5212598	0.4419514	0.6182095
sal	global	(26.5,26.75]	0.5715005	0.4443201	0.6851933
sal	global	(26.75,27]	0.5034606	0.3747599	0.6386375
sal	global	(27,27.25]	0.3193076	0.2521304	0.4168162
sal	global	(27.25,27.5]	0.3079655	0.1983082	0.4403172
sal	global	(27.5,27.75]	0.3359722	0.3047500	0.3920512
sal	global	(27.75,27.85]	0.6703893	0.6351528	0.7179631
sal	global	(27.85,27.95]	0.7183157	0.6885653	0.7616993
sal	global	(27.95,28.05]	0.7032478	0.6538193	0.7447632
sal	global	(28.05,28.1]	0.8388069	0.7866984	0.8672786
sal	global	(28.1,28.15]	0.9116044	0.9075718	0.9184047
sal	global	(28.1,28.2]	0.0520201	-0.0526815	0.1874505
sal	global	(28.15,28.2]	0.9073741	0.8991388	0.9143013
sal	global	(28.2, Inf]	0.8259038	0.7680694	0.8817188
sal	global	(28.2,28.3]	0.0168647	-0.0625189	0.1399835
sal	global	(28.3, Inf]	0.0150764	-0.2303172	0.2796542
silicate	global	(-Inf,26]	0.0587840	-0.2175665	0.3081025
silicate	global	(26,26.5]	-0.6706599	-0.7329164	-0.6172211
silicate	global	(26.5,26.75]	-0.7644135	-0.8096873	-0.7049724
silicate	global	(26.75,27]	-0.7508288	-0.7850861	-0.7314595
silicate	global	(27,27.25]	-0.6454078	-0.6970998	-0.6109360
silicate	global	(27.25,27.5]	-0.6332134	-0.6743633	-0.6069788
silicate	global	(27.5,27.75]	-0.6944444	-0.7336809	-0.6716464
silicate	global	(27.75,27.85]	-0.7202074	-0.7403910	-0.7077269
silicate	global	(27.85,27.95]	-0.7083992	-0.7278832	-0.6972409
silicate	global	(27.95,28.05]	-0.6899894	-0.7286372	-0.6542732
silicate	global	(28.05,28.1]	-0.6973691	-0.7299287	-0.6626559
silicate	global	(28.1,28.15]	-0.9648172	-0.9703539	-0.9567585
silicate	global	(28.1,28.2]	0.4902474	0.3465565	0.6178594
silicate	global	(28.15,28.2]	-0.9540972	-0.9618134	-0.9479517
silicate	global	(28.2, Inf]	-0.8688496	-0.9004862	-0.8309967
silicate	global	(28.2,28.3]	0.5337022	0.4517141	0.6821456
silicate	global	(28.3, Inf]	-0.3369250	-0.3934396	-0.2576891
temp	global	(-Inf,26]	-0.5069794	-0.5385905	-0.4894208
temp	global	(26,26.5]	0.4389804	0.3600641	0.5337032
temp	global	(26.5,26.75]	0.5293761	0.3974593	0.6396996
temp	global	(26.75,27]	0.4821698	0.3798878	0.6085558
temp	global	(27,27.25]	0.2832517	0.2140659	0.3868254
temp	global	(27.25,27.5]	0.2824992	0.1674644	0.4113491
temp	global	(27.5,27.75]	0.3096772	0.2772104	0.3659742
temp	global	(27.75,27.85]	0.6672932	0.6242093	0.7203179
temp	global	(27.85,27.95]	0.6560209	0.6042971	0.6951858
temp	global	(27.95,28.05]	0.6001781	0.5181831	0.6521149
temp	global	(28.05,28.1]	0.7121800	0.6306919	0.7619390
temp	global	(28.1,28.15]	0.8430891	0.8392722	0.8477669
temp	global	(28.1,28.2]	-0.0849275	-0.1859216	0.0119331
temp	global	(28.15,28.2]	0.8700238	0.8556020	0.8825974
temp	global	(28.2, Inf]	0.8162363	0.7107737	0.9184289
temp	global	(28.2,28.3]	0.0133827	-0.0666427	0.1304910
temp	global	(28.3, Inf]	-0.0230798	-0.1493311	0.1713874

rm(cor_target_predictor, cor_target_predictor_stats)

sessionInfo()

R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: openSUSE Leap 15.2

Matrix products: default
BLAS:   /usr/local/R-4.0.3/lib64/R/lib/libRblas.so
LAPACK: /usr/local/R-4.0.3/lib64/R/lib/libRlapack.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

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

other attached packages:
 [1] corrr_0.4.3      broom_0.7.5      kableExtra_1.3.1 knitr_1.30      
 [5] olsrr_0.5.3      GGally_2.0.0     lubridate_1.7.9  ggforce_0.3.3   
 [9] metR_0.9.0       scico_1.2.0      patchwork_1.1.1  collapse_1.5.0  
[13] forcats_0.5.0    stringr_1.4.0    dplyr_1.0.5      purrr_0.3.4     
[17] readr_1.4.0      tidyr_1.1.2      tibble_3.0.4     ggplot2_3.3.3   
[21] tidyverse_1.3.0  workflowr_1.6.2 

loaded via a namespace (and not attached):
 [1] fs_1.5.0                 webshot_0.5.2            RColorBrewer_1.1-2      
 [4] httr_1.4.2               rprojroot_2.0.2          tools_4.0.3             
 [7] backports_1.1.10         R6_2.5.0                 nortest_1.0-4           
[10] DBI_1.1.0                colorspace_2.0-0         withr_2.3.0             
[13] gridExtra_2.3            tidyselect_1.1.0         curl_4.3                
[16] compiler_4.0.3           git2r_0.27.1             cli_2.2.0               
[19] rvest_0.3.6              xml2_1.3.2               labeling_0.4.2          
[22] scales_1.1.1             checkmate_2.0.0          goftest_1.2-2           
[25] digest_0.6.27            foreign_0.8-80           rmarkdown_2.5           
[28] rio_0.5.16               pkgconfig_2.0.3          htmltools_0.5.0         
[31] highr_0.8                dbplyr_1.4.4             rlang_0.4.10            
[34] readxl_1.3.1             rstudioapi_0.13          farver_2.0.3            
[37] generics_0.1.0           jsonlite_1.7.2           zip_2.1.1               
[40] car_3.0-10               magrittr_2.0.1           Matrix_1.2-18           
[43] Rcpp_1.0.5               munsell_0.5.0            fansi_0.4.1             
[46] abind_1.4-5              lifecycle_1.0.0          stringi_1.5.3           
[49] whisker_0.4              yaml_2.2.1               carData_3.0-4           
[52] MASS_7.3-53              plyr_1.8.6               grid_4.0.3              
[55] blob_1.2.1               parallel_4.0.3           promises_1.1.1          
[58] crayon_1.3.4             lattice_0.20-41          haven_2.3.1             
[61] hms_0.5.3                pillar_1.4.7             reprex_0.3.0            
[64] glue_1.4.2               evaluate_0.14            RcppArmadillo_0.10.1.2.2
[67] data.table_1.13.6        modelr_0.1.8             vctrs_0.3.6             
[70] tweenr_1.0.2             httpuv_1.5.4             cellranger_1.1.0        
[73] gtable_0.3.0             polyclip_1.10-0          reshape_0.8.8           
[76] assertthat_0.2.1         openxlsx_4.2.3           xfun_0.20               
[79] RcppEigen_0.3.3.9.1      later_1.1.0.1            viridisLite_0.3.0       
[82] ellipsis_0.3.1           here_1.0.1

eMLR - assumption testing

Jens Daniel Müller and Donghe Zhu

06 August, 2021