The latter could be the right choice if something like Correspondence Analysis is essential for your purposes. TURF (Total Unduplicated Reach and Frequency) is a portfolio optimization approach that is often applied to MaxDiff data. I would take into consideration to use both Statistica and XLSTAT. I hope not to have confused things too much. This turns to be useful for people with a non extensive stat background.
#USING TURF ANALYSIS XLSTAT SOFTWARE#
What I like much is the statistical advisor, and the way in which many results of hypothesis tests are reported, with a clear explanation of the details. ScreenShots: Software Description: XLSTAT Premium v2018.1 圆4 Keygen Crack Since 1993, we have worked continuously to bring you and someother 50,000 customers from more than 100 countries a powerful,versatile, and above all user-friendly and affordable software tomeet all of your statistical needs. Correspondence Analysis or the like (as I can imagine since your are in market research), I would suggest to take into account XLSTAT.įinally, I like the version 16 of Minitab. I do not like to much its multivariate analysis module (e.g., Correspondence Analysis, Multidimensional scaling). It is a very powerful tool, with great graphic capabilities. I could suggest you to take into consideration Statsoft STATISTICA. I like it because:ī) if you have the need to manipulate the data directly in the spreadsheet, it is what XLSTA allows you to do Ĭ) it is fairly complete as far as the types of analysis are concerned.
#USING TURF ANALYSIS XLSTAT PC#
It seems to me cumbersome and to much demanding on PC resources. I do not wish to express any judgement (positive or negative) about R, since my knowledge of it is barely not existent, and I am moving my first steps into R in these very days.Īs for commercial packages, I have rarely made use of SPSS and I do not like it too much. I believe that all senior Users here will suggest to you to put aside SPSS, XLSTAT and the like, and to switch to R.
0 kommentar(er)
