[R] Question - TukeyHSD

John Kane jrkrideau at yahoo.ca
Sun Nov 5 11:17:07 CET 2017


I may be missing the point, but if you can do the calculations by hand could you not write a function in R to do the same and apply it to a data.frame of the values?
 

    On Saturday, November 4, 2017, 11:01:59 AM EDT, Paul Kent <kentp3 at uni.coventry.ac.uk> wrote:  
 
 Hi,


I've been performing some TukeyHSD tests in R and have come across papers that include all the necessary information (means, sample size and SE) for me to perform the piecewise comparison by hand. I can reach out to the authors to get the original dataset, but it raises the question, can I perform the Test with the information I have and save myself some time? Is there a way to somehow construct an aov element to feed the TukeyHSD function, or is there another way to proceed.


Many thanks.


Paul Kent

Gold rating for teaching excellence
Teaching Excellence Framework (TEF)

Ranked No.12 UK university
The Guardian University Guide 2018

UK's highest ranking new university
The Guardian and the Complete University Guides 2018

Top 4 for Student Experience and Teaching Quality
The Times and The Sunday Times Good University Guide 2018

NOTICE

This message and any files transmitted with it is intended for the addressee only and may contain information that is confidential or privileged. Unauthorised use is strictly prohibited. If you are not the addressee, you should not read, copy, disclose or otherwise use this message, except for the purpose of delivery to the addressee.

Any views or opinions expressed within this e-mail are those of the author and do not necessarily represent those of Coventry University.

    [[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
  
	[[alternative HTML version deleted]]



More information about the R-help mailing list