[R-meta] Error - assigned vs existing data

[Michael Dewey]

Dear John

Although you are subsequently planning to do a meta-analysis I cannot 
see any sign of meta-analysis in your example. If you believe this is a 
tidyverse problem then R-help may be a better fit.

Michael

On 31/08/2021 17:37, John Tully 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. ℹ 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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-- 
Michael
http://www.dewey.myzen.co.uk/home.html