Dear R-list members, I compared my statistics with my supervisor yesterday. He is using STATISTICA, I am using R. We both loaded the same data-file and did a two-way ANOVA with treatment and trial as factors; treatment means were then compared to the untreated control using Dunnett's test. Surprisingly, we got different values, especially the F values differed. In the following Dunnett's test, some treatments were significant in R, but not in STATISTICA. We checked the basic settings of the programs and found out, that STATISTICA is using "sigma-restricted parametrization" and "type VI sum of squares" for the calculations, but so far, I could not find any information about the sum of squares type, which is applied in R. Is it possible, that these settings are the reason for the different values we got? And how can I change in R these settings?
Here the code I used: bt_assay_devtime_Model <- aov(developmenttime~treatment+run+treatment*run, data=bt_assay) summary(bt_assay_devtime_Model) postHocs_bt_assay_devtime <- glht(bt_assay_devtime_Model, linfct=mcp(treatment="Dunnett"), base=1) summary(postHocs_bt_assay_devtime) confint(postHocs_bt_assay_devtime) Thanks a lot for your help! Simone Eisenring Michael, Msc. PhD Student Federal Department of Economic Affairs, Education and Research EAER Institute of Sustainability Sciences ISS Biosafety Reckenholzstrasse 191, CH-8046 Z�rich Tel. +41 44 37 77181 Fax +41 44 37 77201 michael.eisenr...@agroscope.admin.ch<mailto:michael.eisenr...@agroscope.admin.ch> www.agroscope.ch<http://www.agroscope.ch/> [[alternative HTML version deleted]]
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