Message-ID: <7fd99717-b3dc-747e-5819-7e21493f405b@gmail.com>
Date: 2021-09-06T16:34:03Z
From: Duncan Murdoch
Subject: 'Double to logical' error
In-Reply-To: <AS8PR06MB76404C35CD531010D5265C7B92D29@AS8PR06MB7640.eurprd06.prod.outlook.com>
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. ? 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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