'Double to logical' error

 Run `rlang::last_error()` to see where the error occurred

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

This message and any attachment are intended solely for the addressee
and may contain confidential information. If you have received this
message in error, please contact the sender and delete the email and
attachment.

Any views or opinions expressed by the author of this email do not
necessarily reflect the views of the University of Nottingham. Email
communications with the University of Nottingham may be monitored
where permitted by law.





        [[alternative HTML version deleted]]