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Missing variables to be coded in mean/sd parameter lookup table #80
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Note that the above issue has been transferred from the repository with identifiable data so some issues / will not display / link correctly without appropriate permissions. How were the variables constructed?
Given these constructed variables are so specific to the specific datasets utilised by the analysts, as well as their models, I think we should not do this for the Many Analysts manuscript, if we want to do this for the software package, we can but there are marginal gains in doing this for the manuscript, and it will simply take too much work to implement this. Marking as wontfix for the manuscript. We can get to this for the software manuscript if we really really really want, but I think there are more urgent and important tasks.
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And explain implicit exclusions from yi meta-analysis
Close #80 param lookup tables for constructed variables
ManyAnalysts:::analysis_data_param_tables
And also:
euc_sdlgs50cm_2m
Originally posted by @egouldo in https://github.com/egouldo/ManyAnalysts/issues/162#issuecomment-1423526812
@hannahsfraser to Edit script
/data-raw/analysis_datasets/osf_load_analyst_dataset.R
, calculating variablesSMI
andresidual_day14_weight
andresidual_day_14_weight_males
@egouldo
ManyAnalysts::blue_tit_data
&ManyAnalysts::euc_data
to be regenerated by running/data-raw/analysis_datasets/osf_load_analyst_dataset.R
@egouldo Rebuild package (will update
ManyAnalysts::blue_tit_data
&ManyAnalysts::euc_data
)@egouldo In
/data-raw/
run script:analysis_data_param_tables
(which will run functionsmake_param_table
on bothManyAnalysts::blue_tit_data
andManyAnalysts::euc_data
.@egouldo Rebuild package (will update
analysis_data_param_tables
)@egouldo Rerun pipeline and check if missing
back_transformed_data
tables for the above cases are resolved egouldo/ManyAnalysts#162🗒️ Related to Constructed Variables are ignored when standardising (no average values in param table) #82
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