![]() ![]() The advertisements and notices to upgrade were really irritating and deterred me from wanting to do so. Second to this, I occasionally had some user issues with basic functions like data selections. This meant that I had to plan my data analysis accordingly, which was somewhat limiting for my research. I had the free trial - it kept crashing and definitely had some bugs. This software definitely enhanced my data analysis at the time. ![]() As an excel add-in, this was ideal because it became part of the interface without me having to use different applications. It was easy to add into Excel ( my main data management software), which allowed me to carry out multivariate analysis and do so with ease. I am in natural science research, which means I am always looking into finding efficient data analysis options. ![]() Also drawing centroids and confidence ellipses is sometimes difficultĪwesome for researchers who are non-R users. Sometimes I found difficulties to find the best fitting model to the data. All these analysis, done on the same database and with easily exportable figures is a great help for researchers. Also the use of non-linear regression allows to predict the behaviour of these parameters during time. I'm not statician, but use statistics to contrast and model the experimental results.Data are easily formatted, I prefer rows for treatments and columns for measured variables.Using a combination of ANOVA tools along with PCA, I was able to demonstrate which fatures are related to the oxidative stability of different types of foods. The integration of the software with excel is the key of XLSTAT. The tutorial help also a lot in order to put the data in the correct form and to share experiences with other users.I would suggest more specilized tutorials or free formation on this software. I will continue using XLSTAT as a helping tool for my research. ![]()
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