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.