'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
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<mailto: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<http://is.na>(single_study_df[sprintf('%s_mn', region)][[1]]) & !is.na<http://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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