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Log-transform yi estimates prior to fitting MA mod #118
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egouldo
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Aug 15, 2024
egouldo
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Aug 15, 2024
- equivalent to `pred_to_z()` - #102 write documentation
egouldo
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Aug 15, 2024
- #102 add import, return, and see also roxygen doc tags, replace note with details tag, rename fn doc title - #116 update argument checks conditional expression - #118 match output to `log_transform_yi()` (now returns additional cols `lower` and `upper`, not only `c("Z","VZ")`) - #118 match process to `log_transform_yi()` and #97 generalise processing to both euc/bt datasets without hard-coding dataset names in fns, and remove associated dataset-specific argument checking #116
egouldo
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Aug 15, 2024
…dardisation updates - #118 extract `lower` and `upper` transformed vals in line with addition of `log_transform_response()` / changes to `standardise_response()`
egouldo
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Aug 15, 2024
…pipeline - #118 call new arg `dataset_log_transform` in fn to log-transform outcomes for euc yi analysis
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…lied for standardising / transformation - accidentally deleted when upgrading for #118, have added creation of transform_datasets tibbles for all cases now, and then these will apply the appropriate functions in final code chunk at end
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Aug 23, 2024
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Aug 23, 2024
- `dat` to `data` to help with auto-matching in pmap within prepare_response_variables() wrapper #118 - ensure all family fns have ... arg for pmap application in prepare_response_variables() since all fns have different argument lengths and names
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Aug 23, 2024
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Aug 23, 2024
…ample code for `log_transform_response()`
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Aug 23, 2024
… of transformation / standardisation in `standardise_response()` - #118 delete old pmap helper function
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--- For `ManyEcoEvo_yi` currently which does not have an `estimate_type` col
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Aug 23, 2024
…ype` is missing in `ManyEcoEvo` dataframe - #118 build: devtools::document()
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---- Was returning only the first column as a vector rather than entire output of log_transform_yi() because `ifelse()` returns vectors dummy!
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Aug 23, 2024
…ponse_variables() that now create estiamte_type col --- unnest() was throwing an error after splitting based on scenario numbers because colum estimate_type was duplicated
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Aug 24, 2024
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Aug 27, 2024
- expose filtering of subsets to user argument: ignore outlier generation for some subsets - Expose `n_min` and `n_max` args to user - Add argument checks #116, inc. checking filter expressions for existance of col names in `data` - Conditionally slice depending on whether `n_*` args supplied in call - Define internal helper fns to reduce duplicate code - Permit multiple logical expressions in argument ignore_subsets - Allow different values of `n_min` and `n_max` for different `dataset`s bug!: properly evaluate whether arg `ignore_subsets` is null and parse to `filter_vars`, see `dplyr::dplyr_data_masking` docs!: Update docs #118 - include functional updates in roxygen docs #102 - rm targets pipeline family tag style: tidy lint #97 - linespacing / whitespace - rm TODO comments - Add section header comments
egouldo
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Aug 27, 2024
bug!: #118 ensure `estimate_type` column is added back in using argument value if existing col is replaced and stop grouping on returned data frame
Almost there. Remaining downstream functions to fix:
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Aug 27, 2024
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Aug 28, 2024
- rm commented out `poss_fit_*()` (now exported internally in 7dabe6d) #97 - replace name of data arg to `data` #97 - switch to rlang::is_null for arg checking #116 / conditional behaviour - Add arg checking for `filter_vars`, `data`, and checking wither required columns, incl. those in `filter_vars` exist in `data` #116 - expose user-supplied arguments `outcom_variable` / `outcome_SE` and match values to arg conditions in new columns - update supply of colnames arg to meta-analysis functions docs!: update corresponding docs #102 - switch to `@importFrom` for `cli::`, add missing `@importFrom` calls - Add `@details` on user-specified exclusion of outcome variable / outcome variable SE style: spacing indentation, rm inline TODO comments #97
egouldo
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Aug 28, 2024
…118 - `fit_MA_mv()` switch from `Z_colname` to `outcome_colname` and `VZ_colname` to `outcome_SE_colname` #118 - `calculate_deviation_score()` #118: expose colname selection column to user , return meta-analytic mean in column, add `outcome_colname` to specify relevant outcome column name, add argument checking #116 - `apply_slice_conditionally()` create column `exclusion_set` if does not exist and switch to `se_log` as `VZ_colname` in example for eucalyptus` #188 - `box_cox_transform()` expose `outcome_SE_colname` arg, add relevant arg checks, update cli output, parse outcome_SE_columns` to `folded_params()` function call #188 - replace `std.error_log` arg with `se_log` for any logged `yi` data #188 - and update wrapper function calls in `meta_analyse_datasets()`, provide NULL default for new arg `outcome_SE` #188 - `fit_box_cox_ratings_cat()`: add arg checks #116, replace arg name `.data` with `data`, switch to `inject` approach as per `fit_box_cox_ratings_cont()` #97 - fit_box_cox_ratings_cont()` switch to `data` arg from `.data`, add arg checks #116 - add arg checks to `standardise_response()`, `fit_sorensen_glm()`, `fit_multivar_MA()` , `fit_uni_mixed_effects()` #116 docs!: update corresponding docs - delete obsolete `@examples` code #102 - add #TODO comments #97 - add missing `@import` calls - switch to `@importFrom` from `@import` for `purrr::` `rlang::` and `tidyr::` et al - don't import `rlang::` in package.R bug!: minor bug fixes - unquote bare colname in pointblank check for `exclude_extreme_VZ()` - `fit_metafor_mv_reduced()` replace obs_id with study_id as random effect
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Aug 28, 2024
- add import tag for `purrr::transpose()` in `fit_multivar_MA()` #102 - defuse argument `outcome` in `cli()` call in `fit_boxcox_ratings_cont()` - `meta_analyse_datasets()`: - use correct argument in calls to `fit_boxcox_ratings_*()` (`data` from `.data`) - apply coalesce on list-cols only and `@import` `tidyselect::where()` (previously non-list-cols were ignored because character columns were explicitly grouped, however current approach in pipeline is ungrouped in order to allow for generalisability / scalability #87. Can't caoalesce a character vector and list, must be of same type). build!: update calls in targets `yi` pipeline
huge push!
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Originally posted by @egouldo in #88
See also: egouldo/ManyAnalysts#63
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