doomlab
commented
1 year ago You can use dplyr’s filter method to exclude NA values or complete.cases() in base R, subset() or a few other options in R. You’ll have to do that before you pass the data into the function.
It should work with categorical M, although there’s a bug somewhere I can’t figure out, but generally it works.
erin
From: EmmHee @.> Date: Monday, January 30, 2023 at 5:08 AM To: doomlab/MeMoBootR @.> Cc: Subscribed @.***> Subject: [doomlab/MeMoBootR] Missing data and categorical M (Issue #7)
Dear Dr. Erin M. Buchanan,
Thank you very much for developing this R package and providing code, examples, and more! It is so educational and I appreciate it greatly.
My data suffers missing data (in the dv), and I think it is why get the following error:
Error in data.frame(..., check.names = FALSE) : arguments imply differing number of rows: 122, 72 In addition: Warning messages: 1: In badmahal + badleverage : longer object length is not a multiple of shorter object length 2: In badmahal + badleverage + badcooks : longer object length is not a multiple of shorter object length
I did not manage to find an argument for excluding NAs; is that correct? Do you know if there is a way around this problem?
Furthermore, I wonder if the mediation1 function could be used for a categorical M? I have found the processR (catMediation) package, but again no argument for omitting/excluding NAs.
Thank you very much for your time.
Best regards, Emma
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EmmHee
Dear Dr. Erin M. Buchanan,
Thank you very much for developing this R package and providing code, examples, and more! It is so educational and I appreciate it greatly.
My data suffers missing data (in the dv), and I think it is why get the following error:
Error in data.frame(..., check.names = FALSE) : arguments imply differing number of rows: 122, 72 In addition: Warning messages: 1: In badmahal + badleverage : longer object length is not a multiple of shorter object length 2: In badmahal + badleverage + badcooks : longer object length is not a multiple of shorter object length
I did not manage to find an argument for excluding NAs; is that correct? Do you know if there is a way around this problem?
Furthermore, I wonder if the mediation1 function could be used for a categorical M? I have found the processR (catMediation) package, but again no argument for omitting/excluding NAs.
Thank you very much for your time.
Best regards, Emma