[R] 'Double to logical' error

Duncan Murdoch murdoch@dunc@n @end|ng |rom gm@||@com
Mon Sep 6 18:34:03 CEST 2021


On 06/09/2021 10:16 a.m., 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.

That certainly looks like a tidyverse error, specifically from the 
tibble package.

Duncan Murdoch

>>
>> 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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