Last updated: 2020-08-11

Checks: 7 0

Knit directory: Cant_eMLR/

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: 3ff89bb

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 3ff89bb. 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:    .Rproj.user/
    Ignored:    data/GLODAPv1_1/
    Ignored:    data/GLODAPv2_2016b_MappedClimatologies/
    Ignored:    data/GLODAPv2_2020/
    Ignored:    data/Gruber_2019/
    Ignored:    data/WOCE/
    Ignored:    data/World_Ocean_Atlas_2018/
    Ignored:    data/dclement/
    Ignored:    data/eMLR/
    Ignored:    data/pCO2_atmosphere/
    Ignored:    data/parameters/
    Ignored:    dump/

Untracked files:
    Untracked:  analysis/python_scripts/
    Untracked:  analysis/test_scripts/

Unstaged changes:
    Modified:   analysis/_site.yml

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/read_CO2_atm.Rmd) and HTML (docs/read_CO2_atm.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
html 8a010ca jens-daniel-mueller 2020-08-11 Build site.
html a01041a jens-daniel-mueller 2020-08-11 Build site.
html e18e59a jens-daniel-mueller 2020-08-10 Build site.
html 7d7900a jens-daniel-mueller 2020-08-07 Build site.
html 9dc5d7f jens-daniel-mueller 2020-07-29 Build site.
html 21524b4 jens-daniel-mueller 2020-07-29 Build site.
html 1e3939d jens-daniel-mueller 2020-07-29 Build site.
Rmd 43d1f45 jens-daniel-mueller 2020-07-29 format revised
html 2e08795 jens-daniel-mueller 2020-07-24 Build site.
html 556e6cc jens-daniel-mueller 2020-07-23 Build site.
html c1289a2 jens-daniel-mueller 2020-07-23 Build site.
html 2890e73 jens-daniel-mueller 2020-07-23 Build site.
html fdfa7b9 jens-daniel-mueller 2020-07-22 Build site.
html 22b588c jens-daniel-mueller 2020-07-18 Build site.
html 56c3ed9 jens-daniel-mueller 2020-07-14 Build site.
html 74d4abd jens-daniel-mueller 2020-07-14 Build site.
html 1c511ce jens-daniel-mueller 2020-07-14 Build site.
Rmd e03016e jens-daniel-mueller 2020-07-14 split read in per data set 
library(tidyverse)
library(lubridate)
library(patchwork)

1 Read data

  • Data source: Globally averaged marine surface annual mean data from ESRL-NOAA
co2_atm <- read_table2(here::here("data/pCO2_atmosphere",
                              "co2_annmean_gl.txt"),
                   col_names = FALSE, comment = "#")

co2_atm <- co2_atm %>% 
  select(-X3)

names(co2_atm) <- c("year", "pCO2")

2 Time series

co2_atm %>% 
  ggplot(aes(year, pCO2)) +
  geom_path() +
  geom_point()

3 Write clean file

co2_atm %>% 
  write_csv(here::here("data/pCO2_atmosphere/_summarized_data_files",
                       "co2_atm.csv"))

rm(co2_atm)

4 Open tasks

  • none

5 Questions

  • none

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] patchwork_1.0.1 lubridate_1.7.9 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   htmltools_0.5.0  yaml_2.2.1      
 [9] blob_1.2.1       rlang_0.4.7      later_1.1.0.1    pillar_1.4.6    
[13] withr_2.2.0      glue_1.4.1       DBI_1.1.0        dbplyr_1.4.4    
[17] modelr_0.1.8     readxl_1.3.1     lifecycle_0.2.0  munsell_0.5.0   
[21] gtable_0.3.0     cellranger_1.1.0 rvest_0.3.6      evaluate_0.14   
[25] labeling_0.3     knitr_1.29       httpuv_1.5.4     fansi_0.4.1     
[29] broom_0.7.0      Rcpp_1.0.5       promises_1.1.1   backports_1.1.8 
[33] scales_1.1.1     jsonlite_1.7.0   farver_2.0.3     fs_1.4.2        
[37] hms_0.5.3        digest_0.6.25    stringi_1.4.6    rprojroot_1.3-2 
[41] grid_4.0.2       here_0.1         cli_2.0.2        tools_4.0.2     
[45] magrittr_1.5     crayon_1.3.4     whisker_0.4      pkgconfig_2.0.3 
[49] ellipsis_0.3.1   xml2_1.3.2       reprex_0.3.0     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