'Double to logical' error

Dear colleagues

in conducting a meta-analysis (of MRI data) I am running into the repeated issue:

Error: Assigned data `single_study_df` must be compatible with existing data. ? Error occurred for column `accumbens_sd`. x Can't convert from <double> to <logical> due to loss of precision. * Locations: 1, 2. Run `rlang::last_error()` to see where the error occurred.

This follows the commands

for (region in regions){
    for (study in unique(df$studyid)){
      single_study_df <- df %>% filter(studyid==study)
      if (is.na(single_study_df[sprintf('%s_mn', region)][[1]]) & !is.na(single_study_df[sprintf('%s_mn_l', region)])){
        df <- calc_bilat(study, region, r, df)
      }
    }
}


My colleague (cc'd) believed it may be an issue with tidyverse version, however using an older version (1.2.1), the issue persists. note 'accumbens' is the first of many columns so I suspect this is why it flags this up.

I would greatly value your input on this matter

Kind regards

John Tully

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