Missing data and categorical M

[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

[doomlab]

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 — Reply to this email directly, view it on GitHub<#7>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AGT7FVSXLADFDU6NSG2V6O3WU6OLBANCNFSM6AAAAAAULAHMUU>. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[EmmHee]

Thank you for your response! I will try it out.

Best regards,
Emma

[EmmHee]

Hi Erin!

I managed to do the mediation analysis with a categorical M. I used the tidyr package to remove the NAs ( %>% drop_na() ). Thank you again for your support!

[doomlab]

Oh! That’s a new one on me. Thanks for sharing. erin From: EmmHee ***@***.***> Date: Saturday, February 4, 2023 at 8:26 AM To: doomlab/MeMoBootR ***@***.***> Cc: The Doom Lab ***@***.***>, Comment ***@***.***> Subject: Re: [doomlab/MeMoBootR] Missing data and categorical M (Issue #7) Hi Erin! I managed to do the mediation analysis with a categorical M. I used the tidyr package to remove the NAs ( %>% drop_na() ). Thank you again for your support! — Reply to this email directly, view it on GitHub<#7 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AGT7FVQYJ256NCCRHELYJULWVZRHXANCNFSM6AAAAAAULAHMUU>. You are receiving this because you commented.Message ID: ***@***.***>