Zr data subsets all have different number of cols

[egouldo]

• Identify source of variation in pipeline
• Ensure all effects_analysis tbl's have the same columns

[egouldo]

Rm from manuscript, this is a pipeline job of low priority

[egouldo]

Current state:

library(ManyEcoEvo)
#> Loading required package: rmarkdown
#> Loading required package: bookdown
#> Registered S3 method overwritten by 'parsnip':
#>   method          from 
#>   print.nullmodel vegan
#> Registered S3 method overwritten by 'lava':
#>   method         from    
#>   print.estimate EnvStats
library(purrr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
ManyEcoEvo::ManyEcoEvo_results %>%
  select(ends_with("set"), "effects_analysis") %>%
  rowwise() %>%
  mutate(ncols = ncol(effects_analysis), .keep = "unused") %>%
  knitr::kable()

exclusion_set	dataset	publishable_subset	expertise_subset	collinearity_subset	ncols
complete	blue tit	All	All	All	50
complete	eucalyptus	All	All	All	50
partial	blue tit	All	All	All	50
partial	eucalyptus	All	All	All	50
complete	blue tit	data_flawed	All	All	16
complete	blue tit	data_flawed_major	All	All	16
complete	eucalyptus	data_flawed	All	All	16
complete	eucalyptus	data_flawed_major	All	All	16
partial	blue tit	data_flawed	All	All	16
partial	blue tit	data_flawed_major	All	All	16
partial	eucalyptus	data_flawed	All	All	16
partial	eucalyptus	data_flawed_major	All	All	16
complete	blue tit	All	expert	All	50
complete	eucalyptus	All	expert	All	50
complete	blue tit	All	All	collinearity_removed	50
complete-rm_outliers	blue tit	All	All	All	50
complete-rm_outliers	eucalyptus	All	All	All	50
partial-rm_outliers	blue tit	All	All	All	50
partial-rm_outliers	eucalyptus	All	All	All	50

^{Created on 2024-09-10 with reprex v2.1.0}

[egouldo]

so the publish ability subsetting is resulting in this discrepancy.