'Double to logical' error

Thank you

I ran:

```{r}
rlang::last_error()
```

Here is the output:

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




------------------------------
*From:* Bill Dunlap <williamwdunlap at gmail.com>
*Sent:* Monday, September 6, 2021 5:36 PM
*To:* John Tully <mszjt1 at exmail.nottingham.ac.uk>
*Cc:* r-help at R-project.org <r-help at r-project.org>; McCutcheon, Robert <
robert.mccutcheon at kcl.ac.uk>
*Subject:* Re: [R] 'Double to logical' error

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

What did rlang::last_error() show?

-Bill


On Mon, Sep 6, 2021 at 9:19 AM John Tully <John.Tully at nottingham.ac.uk>
wrote:

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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