XLSTAT 2015.1

Software Information

0 / from 0 votes

Downloads : 28
Views : 1.3k
File Size : 69.1 MB
0/0 Virus Flags

Windows
Demo
Price: $0
Home Page

Developed By : Addinsoft

Screenshot

From: Addinsoft

XLSTAT is a complete analysis and statistics add-in for MS Excel that has been developed since 1993. XLSTAT is a modular statistical software built around XLSTAT-Pro - the core product of Addinsoft. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data analysis package.It includes regression (linear logistic nonlinear) multivariate data analysis (Principal Component Analysis Discriminant Analysis Correspondence Analysis Multidimensional Scaling Agglomerative Hierarchical Clustering K-means K-Nearest Neighbors Decision trees) correlation tests parametric tests non parametric tests ANOVA ANCOVA mixed models and much more. Complementary modules are available for 3D visualization advanced multivariate analysis (RDA CCA MFA) Preference Mapping Statistical Process Control Simulation Time series analysis Dose response effects Survival models Conjoint analysis PLS modelling Structural Equation Modelling OMICS data analysis Latent Class models...The XLSTAT statistical analysis software is compatible with all Excel versions from 97 to 2013 and with the Windows 9x till Windows 8 systems. A Mac version is also available on the XLSTAT website.

Download XLSTAT

Title	XLSTAT
Author	Addinsoft
File Name	xlstat.exe
File Size	69.1 MB
Requirements	Excel 2003 and later
OS	WinXP,Win7 x32,Win7 x64,Windows 8,WinServer,WinVista,WinVista x64
Languages	English,French,German,Italian,Japanese,Portuguese,Spanish
Published On	2015-02-05 12:25:18
Change Log	New functions added in data analysis time series conjoint analysis and sensory analysis machine learning latent class cluster & regression models heatmaps omics data analysis CATA data analysis K-Nearest-Neighbors clustering Cochran exact and Monte Carlo methods
Tagged As	Statistics, Data analysis, Excel, Forecasting, Add-in, Regression,