[R] 'Double to logical' error

[Duncan Murdoch]

You get this error from this kind of operation on tibbles:

library(tibble)
t1 <- tibble(x = c(TRUE, FALSE))
t2 <- tibble(x = c(1.2, 1.3))
t1[1,] <- t2[1,]
#> Error: Assigned data `t2[1, ]` must be compatible with existing data.
#> ℹ Error occurred for column `x`.
#> x Can't convert from <double> to <logical> due to loss of precision.
#> * Locations: 1.

If t1 had been a data.frame instead of a tibble, this would convert t1$x 
to type double.  So it is possible some code you are using assumes 
things inheriting from class "data.frame" act like dataframes.  Or maybe 
they were just sloppy.  In any case, you might be able to fix it by 
changing single_study_df to a dataframe using

   single_study_df <- as.data.frame(single_study_df)

Duncan Murdoch


On 06/09/2021 12:34 p.m., Duncan Murdoch wrote:
> 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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