Inverse distribution functions (29 functions) These functions enable you to estimate a cumulative distribution function directly from the formula bar: XLSTAT_CDFArcsineG, XLSTAT_CDFBernoulli, XLSTAT_CDFbeta, XLSTAT_CDFBinomial, XLSTAT_CDFExponential, XLSTAT_CDFLogistic and more.Ħ. Cumulative distribution functions (31 functions) These functions enable you to perform matrix operations directly in XLSTAT: XLSTAT_MDeterminant, XLSTAT_MInverseX, XLSTAT_MProduct_XY, XLSTAT_MProduct_XtrXĥ. These functions enable you to describe your data in a univariate, bivariate or multivariate way: XLSTAT_Biserial, XLSTAT_Centile, XLSTAT_Covar, XLSTAT_Correl, XLSTAT_FisherExact and more. XLSTAT_ARIMA, XLSTAT_ARIMA2, XLSTAT_ExpoSmooth, XLSTAT_ExpoSmooth2, XLSTAT_Garch, XLSTAT_HoltWinters and more. These functions enable you to study trends and stationarity in time series: XLSTAT_DataSim, XLSTAT_EmpiricalCDF, XLSTAT_GetRank, XLSTAT_Linest, XLSTAT_Logistic, XLSTAT_MannWhitneyTest, XLSTAT_Proportion_CI and more. These functions enable you to run 13 statistical tests on your data directly from the formula bar in Excel. The XLSTAT functions cover 7 main themes: To access these functions, open the Insert Function window in Excel and select the XLSTAT category: An exhaustive list along with a description of each function is accessible in this PDF document.Īmong the XLSTAT functions that are currently available, some of them solve numerical issues that have been found with the built-in Excel functions, or complement the set of Excel statistical functions. Over 130 XLSTAT functions are available covering 7 main themes. This allows you to benefit from XLSTAT algorithms while linking Excel cells and performing simple or complex Excel operations. Sometimes I found difficulties to find the best fitting model to the data.On top of user-friendly dialog boxes, XLSTAT offers the possibility to instantly launch a wide range of analyses using simple functions within an Excel spreadsheet. 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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