Add link to renv:: and rebuild README

README.md

@@ -35,7 +35,8 @@ analysis in *Gould et al.*, complete the following steps:
 1.  Clone or download [https://github.com/egouldo/this
     repository](https://github.com/egouldo/ManyEcoEvo)
 2.  Run `renv::restore()` to load the packages used in the analysis
-    pipeline locally on your machine
+    pipeline locally on your machine (see
+    \[`renv::`\]https://rstudio.github.io/renv/index.html) for details)
 3.  Run `tar_destroy()` to remove any record and caches of existing
     targets
 4.  Run `targets::tar_make()` in your console, depending on the power of

README.qmd

@@ -28,7 +28,7 @@ Please see the documentation at <https://docs.ropensci.org/targets/> for further
 Should you wish to completely reproduce the dataset generation and analysis in *Gould et al.*, complete the following steps:
 
 1.  Clone or download [https://github.com/egouldo/this repository](https://github.com/egouldo/ManyEcoEvo)
-2.  Run `renv::restore()` to load the packages used in the analysis pipeline locally on your machine
+2.  Run `renv::restore()` to load the packages used in the analysis pipeline locally on your machine (see [`renv::`]https://rstudio.github.io/renv/index.html) for details)
 3.  Run `tar_destroy()` to remove any record and caches of existing targets
 4.  Run `targets::tar_make()` in your console, depending on the power of your machine, the analysis pipeline will take between 2 and 7 minutes to execute (plus or minus some!)
 5.  You can view a table of all targets in the pipeline by running `targets::tar_meta()`

_targets/meta/meta

@@ -1,5 +1,5 @@
 name|type|data|command|depend|seed|path|time|size|bytes|format|repository|iteration|parent|children|seconds|warnings|error
-.Random.seed|object|9ac3ad6da98e87e3|||||||||||||||
+.Random.seed|object|9da25ec69543bcf7|||||||||||||||
 %nin%|function|c5de772db35799a7|||||||||||||||
 all_prediction_data|stem|aec35f5492412af6|cbaa8d500a9e5c54|94954c171292e1d4|2002974195||t19657.1661443102s|42fd46be49aa72f2|29807|rds|local|vector|||0.077||
 all_review_data|stem|bea072d4144ad4bd|1edea2a4f48e968c|7a9e99abccaab30d|-2056674812||t19657.165632188s|669f24177fb30fd6|11524|rds|local|vector|||0.014||
@@ -476,7 +476,7 @@ preprocess_prediction_files|function|4ef94f47adb9c94b|||||||||||||||
 preprocess_updated_prediction_files|function|37ee79927cd9b2cf|||||||||||||||
 probit_back|function|b41c22b6da45d1bb|||||||||||||||
 read_submission_data|function|34ce7495ff17edbe|||||||||||||||
-README|stem|6164fd4520f8df17|8271ae22ce9ee020|7d54cfb4717e5766|-1347750081|README.md*README.qmd|t19657.2249986699s|223451b4fcde2b5f|6964|file|local|vector|||3.212||
+README|stem|c768fd19ed331e77|8271ae22ce9ee020|7d54cfb4717e5766|-1347750081|README.md*README.qmd|t19657.2349548687s|9f0e1de7984970fb|7112|file|local|vector|||3.637||
 ReviewData|object|6a2cd8a7ea993fd0|||||||||||||||
 rm_inf_na|function|b202ba30a9e79c3a|||||||||||||||
 run_model_checks|function|0555122b635b261c|||||||||||||||