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LSTAT 是 Microsoft Excel 统计分析插件，自 1993 年开始，一直不断致力于增强 Excel 的分析能力的开发。
XLSTAT依赖于Excel进行数据输入和结果显示，但计算都是使用独立的软件组件。使用Excel作为一个接口,使XLSTAT成为一个界面友好，高效的统计和多变量数据分析软件包。计算的质量和经典科学统计分析软件是一样的。
XLSTAT是一个以XLSTAT-Base为核心的模块化统计分析软件。包含如下功能：
准备数据
Raking survey data
Coding
Coding by ranks
Presence/Absence coding
Complete disjuncive tables (Creating dummy variables)
Create contingency tables
Data management
Data sampling
Discretization
Distribution Sampling
Missing data
Variable transformations
描述数据
Biserial correlation
Variable characterization
Contingency table (descriptive statistics)
Quantiles estimation
Descriptive statistics (including Box plots and scattergrams)
Histograms
Similarity/Dissimilarity matrices (correlation…)
Multicollinearity statistics
Normality tests
Pivot table
Resampled statistics
分析数据
Agglomerative Hierarchical Clustering (AHC)
Principal Component Analysis (PCA)
Multiple Correspondence Analysis (MCA)
Discriminant Analysis (DA)
Factor analysis
Correspondence Analysis (CA)
Principal Coordinate Analysis
k-means clustering
Gaussian mixture models
Multidimensional Scaling (MDS)
Univariate clustering
可视化数据
Plot a function
Error bars
Parallel coordinates plots
Ternary diagrams
Plot management
Semantic differential charts
Univariate plots
Histograms
Scatter plots
建模数据
Two-stage least squares regression
Cubic splines
Distribution fitting
ANOVA (Analysis of variance)
Multivariate Analysis of Variance (MANOVA)
PLS discriminant analysis
ANCOVA (Analysis of Covariance)
Welch and Brown-Forsythe one-way ANOVA
Mixed models
Repeated measures Analysis of Variance (ANOVA)
Logistic regression (Binary, Ordinal, Multinomial, …)
Nonparametric regression (Kernel and Lowess)
Linear regression
Log-linear regression (Poisson regression)
Ordinal logit model
Nonlinear regression
Ordinary Least Squares regression (OLS)
Partial Least Squares regression (PLS)
Principal Component Regression (PCR)
Quantile regression
相关/联合检验
Biserial correlation
Cochran-Armitage trend test
RV coefficient
Correlation tests
Mantel test
Tests on contingency tables
参数检验
One-sample t-test and z-test
One-sample variance test
Test for one proportion
Two-sample t-test and z-test
Two-sample comparison of variances
Test for two proportions
TOST (Equivalence test)
k proportions test
k-sample comparison of variances
Multidimensional tests (Mahalanobis, …)
Multinomial goodness of fit test
非参数检验
One sample runs test
Non parametric tests on two independent samples
Cochran-Mantel-Haenszel test
Cochran's Q test
Durbin and Skillings-Mack tests
Friedman test
Kruskal-Wallis test
McNemar's test
Mood test (Median test)
Non parametric tests on two paired samples
Page test
工具
Export to GIF/JPG/PNG/TIFF
Manage the menu bars (Display the main bar, Hide the sub-bars)
Manage data (DataFlagger, MinMaxSearch, Remove text values in a selection)
Manage workbook (Sheets management, Delete hidden sheets, Show hidden sheets)
异常值检验
Cochran C test for outlying variances
Dixon test for outliers
Grubbs' test for outliers
Mandel's h and k statistics for outliers
机器学习
Classification and regression trees
Association rules
k-means clustering
Naive Bayes classifier
Gaussian mixture models
K Nearest Neighbors (KNN)
解决方案
XLSTAT-Premium-包含了XLSTAT完整的200以上的功能。
XLSTAT-Sensory-让您深入了解您的产品和销售者的解决方案
XLSTAT-Marketing-提供给那些需要理解客户行为和趋势，并做出正确决定的定量分析市场人员的必备工具。
XLSTAT-Forecast-在一个用户友好的界面中提供了最准确的预知工具。
XLSTAT-Biomed-提供给那些需要快速和准确结果的生物学家和医学研究者的完整解决方案
XLSTAT-Ecology-转变您在野外搜集到的复杂生态学数据为科学数据。
XLSTAT-Psy-一个交互式和高效的用于分析复杂心理学和社会数据的软件
XLSTAT-Quality-提供给那些质量控制和风险分析人员的基础解决方案
功能选项
XLSTAT-3DPlot
XLSTAT-LatentClass
XLSTAT-R
LSTAT 是 Microsoft Excel 统计分析插件，自 1993 年开始，一直不断致力于增强 Excel 的分析能力的开发。
XLSTAT依赖于Excel进行数据输入和结果显示，但计算都是使用独立的软件组件。使用Excel作为一个接口,使XLSTAT成为一个界面友好，高效的统计和多变量数据分析软件包。计算的质量和经典科学统计分析软件是一样的。
XLSTAT是一个以XLSTAT-Base为核心的模块化统计分析软件。包含如下功能：
准备数据
Raking survey data
Coding
Coding by ranks
Presence/Absence coding
Complete disjuncive tables (Creating dummy variables)
Create contingency tables
Data management
Data sampling
Discretization
Distribution Sampling
Missing data
Variable transformations
描述数据
Biserial correlation
Variable characterization
Contingency table (descriptive statistics)
Quantiles estimation
Descriptive statistics (including Box plots and scattergrams)
Histograms
Similarity/Dissimilarity matrices (correlation…)
Multicollinearity statistics
Normality tests
Pivot table
Resampled statistics
分析数据
Agglomerative Hierarchical Clustering (AHC)
Principal Component Analysis (PCA)
Multiple Correspondence Analysis (MCA)
Discriminant Analysis (DA)
Factor analysis
Correspondence Analysis (CA)
Principal Coordinate Analysis
k-means clustering
Gaussian mixture models
Multidimensional Scaling (MDS)
Univariate clustering
可视化数据
Plot a function
Error bars
Parallel coordinates plots
Ternary diagrams
Plot management
Semantic differential charts
Univariate plots
Histograms
Scatter plots
建模数据
Two-stage least squares regression
Cubic splines
Distribution fitting
ANOVA (Analysis of variance)
Multivariate Analysis of Variance (MANOVA)
PLS discriminant analysis
ANCOVA (Analysis of Covariance)
Welch and Brown-Forsythe one-way ANOVA
Mixed models
Repeated measures Analysis of Variance (ANOVA)
Logistic regression (Binary, Ordinal, Multinomial, …)
Nonparametric regression (Kernel and Lowess)
Linear regression
Log-linear regression (Poisson regression)
Ordinal logit model
Nonlinear regression
Ordinary Least Squares regression (OLS)
Partial Least Squares regression (PLS)
Principal Component Regression (PCR)
Quantile regression
相关/联合检验
Biserial correlation
Cochran-Armitage trend test
RV coefficient
Correlation tests
Mantel test
Tests on contingency tables
参数检验
One-sample t-test and z-test
One-sample variance test
Test for one proportion
Two-sample t-test and z-test
Two-sample comparison of variances
Test for two proportions
TOST (Equivalence test)
k proportions test
k-sample comparison of variances
Multidimensional tests (Mahalanobis, …)
Multinomial goodness of fit test
非参数检验
One sample runs test
Non parametric tests on two independent samples
Cochran-Mantel-Haenszel test
Cochran's Q test
Durbin and Skillings-Mack tests
Friedman test
Kruskal-Wallis test
McNemar's test
Mood test (Median test)
Non parametric tests on two paired samples
Page test
工具
Export to GIF/JPG/PNG/TIFF
Manage the menu bars (Display the main bar, Hide the sub-bars)
Manage data (DataFlagger, MinMaxSearch, Remove text values in a selection)
Manage workbook (Sheets management, Delete hidden sheets, Show hidden sheets)
异常值检验
Cochran C test for outlying variances
Dixon test for outliers
Grubbs' test for outliers
Mandel's h and k statistics for outliers
机器学习
Classification and regression trees
Association rules
k-means clustering
Naive Bayes classifier
Gaussian mixture models
K Nearest Neighbors (KNN)
解决方案
XLSTAT-Premium-包含了XLSTAT完整的200以上的功能。
XLSTAT-Sensory-让您深入了解您的产品和销售者的解决方案
XLSTAT-Marketing-提供给那些需要理解客户行为和趋势，并做出正确决定的定量分析市场人员的必备工具。
XLSTAT-Forecast-在一个用户友好的界面中提供了最准确的预知工具。
XLSTAT-Biomed-提供给那些需要快速和准确结果的生物学家和医学研究者的完整解决方案
XLSTAT-Ecology-转变您在野外搜集到的复杂生态学数据为科学数据。
XLSTAT-Psy-一个交互式和高效的用于分析复杂心理学和社会数据的软件
XLSTAT-Quality-提供给那些质量控制和风险分析人员的基础解决方案
功能选项
XLSTAT-3DPlot
XLSTAT-LatentClass
XLSTAT-R
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