Assuming you have as your model a one-way ANOVA, you can use the
aovSufficient function in HH.

## install.packages("HH") ## if you don't have it yet
library(HH)
?aovSufficient

On Sat, Nov 4, 2017 at 9:30 AM, Paul Kent <ken...@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@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.

______________________________________________
R-help@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.

Reply via email to