tucker@mpi.com
2004-Sep-13 20:57 UTC
[Rd] propogation of rounding error for t.tests with unequal sample sizes (PR#7225)
# users would benefit from a warning about the behavior in the # groups.unbalanced case below. A propogation of difference is the variance # calculation is leading to an apparently significant difference in # means, even though the numeric values are all identical. Obviously upon # inspection the difference in means is meaningless, but users might be warned # if all of the input data is identical xx <- rep(2.10,80) groups.balanced <- as.factor(c(rep("one",40),rep("two",40))) groups.unbalanced <- as.factor(c(rep("one",44),rep("two",36))) t.test(xx ~ groups.balanced) t.test(xx ~ groups.unbalanced) <<insert bug report here>> --please do not edit the information below-- Version: platform = sparc-sun-solaris2.8 arch = sparc os = solaris2.8 system = sparc, solaris2.8 status = major = 1 minor = 9.0 year = 2004 month = 04 day = 12 language = R Search Path: .GlobalEnv, package:methods, package:stats, package:graphics, package:utils, Autoloads, package:base This e-mail, including any attachments, is a confidential business communication, and may contain information that is confidential, proprietary and/or privileged. This e-mail is intended only for the individual(s) to whom it is addressed, and may not be saved, copied, printed, disclosed or used by anyone else. If you are not the(an) intended recipient, please immediately delete this e-mail from your computer system and notify the sender. Thank you.
Prof Brian Ripley
2004-Sep-13 22:04 UTC
[Rd] (PR#7225) propogation of rounding error for t.tests with unequal sample sizes (PR#7225)
What are you seeing here? I get identical results in the two cases. On Mon, 13 Sep 2004 tucker@mpi.com wrote:> > # users would benefit from a warning about the behavior in the > # groups.unbalanced case below. A propogation of difference is the variance > # calculation is leading to an apparently significant difference in > # means, even though the numeric values are all identical. Obviously upon > # inspection the difference in means is meaningless, but users might be warned > # if all of the input data is identicalThat's not so easy to achieve, given rounding error, but I am seeing 0 variance in both cases.> xx <- rep(2.10,80) > > groups.balanced <- as.factor(c(rep("one",40),rep("two",40))) > groups.unbalanced <- as.factor(c(rep("one",44),rep("two",36))) > > t.test(xx ~ groups.balanced) > > t.test(xx ~ groups.unbalanced) > > > > <<insert bug report here>> > > > > --please do not edit the information below-- > > Version: > platform = sparc-sun-solaris2.8 > arch = sparc > os = solaris2.8 > system = sparc, solaris2.8 > status = > major = 1 > minor = 9.0 > year = 2004 > month = 04 > day = 12 > language = R > > Search Path: > .GlobalEnv, package:methods, package:stats, package:graphics, package:utils, Autoloads, package:base > > > > This e-mail, including any attachments, is a confidential business communication, and may contain information that is confidential, proprietary and/or privileged. This e-mail is intended only for the individual(s) to whom it is addressed, and may not be saved, copied, printed, disclosed or used by anyone else. If you are not the(an) intended recipient, please immediately delete this e-mail from your computer system and notify the sender. Thank you. > > ______________________________________________ > R-devel@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > >-- Brian D. Ripley, ripley@stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
Apparently Analagous Threads
- (PR#7225) propogation of rounding error for t.tests with unequal sample sizes (PR#7225)
- one-way ANOVA model, with one factor, an unbalanced design and unequal variances
- Testing significance in a design with unequal but proportional sample sizes
- two way ANOVA with unequal sample sizes
- Problem With Model.Tables Function