Merges multiple imputed data frames into a single data frame #143
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@benjaminwnelson Hi! I'm having a similar issue, but random numeric variables are dropped. I'm starting with 100 variables and end up with 81. Did you happen to find a solution to your issue? |
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Can you please check if the removed variables contain any missing values (i.e. if those have been imputed) or not? By default, |
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Thank you for getting back to me!
While most of the dropped variables have no missing values (n = 11), there are 7 other variables that have been dropped that have anywhere from 1 to 57 missing values.
From: Daniel ***@***.***>
Sent: Tuesday, April 6, 2021 12:21 PM
To: strengejacke/sjmisc ***@***.***>
Cc: akhilanekkanti1 ***@***.***>; Comment ***@***.***>
Subject: Re: [strengejacke/sjmisc] Merges multiple imputed data frames into a single data frame (#143)
Can you please check if the removed variables contain any missing values (i.e. if those have been imputed) or not? By default, merge_imputations() should only return a data frame with those variables that had missing values.
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This website allowed me to merge multiple imputed datasets https://strengejacke.github.io/sjmisc/reference/merge_imputations.html
When the function
merge_imputationsis used it removes the subject id column and randomly will remove some factor columns. Is there a way to fix this? Thanks. @strengejackeThe text was updated successfully, but these errors were encountered: