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List of dialogs available in BlueSky Statistics v10 and their location in the menu
The path to the dialogs is listed in the format below:

Top level > Sub level > Dialog

DATASETS
DATASETS > Aggregate

DATASETS > Compare Datasets

DATASETS > Expand

DATASETS > Find Duplicates

DATASETS > Group By > Split
DATASETS > Group By > Remove Split

DATASETS > Merge > Merge
DATASETS > Merge > Stack

DATASETS > ReShape > Wider
DATASETS > ReShape > Longer

DATASETS > Sampling > Sample
DATASETS > Sampling > Random Split
DATASETS > Sampling > Stratified Split
DATASETS > Sampling > Up Sample
DATASETS > Sampling > Down Sample

DATASETS > Sort > Reorder Variables
DATASETS > Sort > Sort

DATASETS > Subset > Subset
DATASETS > Subset > Subset by Position

DATASETS > Transpose > Select Variables
DATASETS > Transpose > Entire Dataset


VARIABLES
VARIABLES > Bin

VARIABLES > Box-Cox >Box-Cox Transformation
VARIABLES > Box-Cox > Inspect Lambda
VARIABLES > Box-Cox > Add/Remove Lambda
VARIABLES > Box-Cox > Inverse Box-Cox

VARIABLES > Compute > Apply A Function To Rows
VARIABLES > Compute > Dummy Code
VARIABLES > Compute > Compute
VARIABLES > Compute > Conditional Compute
VARIABLES > Compute > Conditional Compute, Multiple
VARIABLES > Compute > Cumulative Statistics Variable

VARIABLES > Concatenate

VARIABLES > Convert > To Factor
VARIABLES > Convert > Date To Character
VARIABLES > Convert > Character To Date
VARIABLES > Convert > To Ordered Factor/Ordinal

VARIABLES > Delete

VARIABLES > Factor Levels > Add
VARIABLES > Factor Levels > Display
VARIABLES > Factor Levels > Drop Unused
VARIABLES > Factor Levels > Label NAs
VARIABLES > Factor Levels > Lump Into Other, Automatically
VARIABLES > Factor Levels > Lump Into Other, Manually
VARIABLES > Factor Levels > Reorder By Count
VARIABLES > Factor Levels > Reorder By Occurrence
VARIABLES > Factor Levels > Reorder By Another Variable
VARIABLES > Factor Levels > Reorder Manually

VARIABLES > ID Variable

VARIABLES > Lag Or Lead Variable

VARIABLES > Missing Values > Remove NAs
VARIABLES > Missing Values > Numeric
VARIABLES > Missing Values > Character/Factor
VARIABLES > Missing Values > Model Imputation
VARIABLES > Missing Values > Use A Formula

VARIABLES > Rank
VARIABLES > Recode
VARIABLES > Standardize
VARIABLES > Transform


ANALYSIS
ANALYSIS > Correlations > Pearson, Spearman
ANALYSIS > Correlations > Polychoric, Polyserial
ANALYSIS > Correlations > Pearson (Legacy)
ANALYSIS > Correlations > Partial
ANALYSIS > Correlations > Semi-Partial

ANALYSIS > Crosstab > Crosstab

ANALYSIS > Cluster > Hierarchical
ANALYSIS > Cluster > K-Means

ANALYSIS > Factor Analysis > Factor
ANALYSIS > Factor Analysis > Principal Components

ANALYSIS > Means > ANCOVA
ANALYSIS > Means > ANOVA, 1 Way With Blocks
ANALYSIS > Means > ANOVA, 1 Way (Random Blocks)
ANALYSIS > Means > ANOVA, 1 And 2 Way
ANALYSIS > Means > ANOVA, N-Way
ANALYSIS > Means > ANOVA, Repeated Measures, Long
ANALYSIS > Means > ANOVA, Repeated Measures, Wide
ANALYSIS > Means > MANOVA
ANALYSIS > Means > T-Test, Independent Samples
ANALYSIS > Means > T-Test, One Sample
ANALYSIS > Means > T-Test, Paired Samples

ANALYSIS > Missing Values > Row Layout
ANALYSIS > Missing Values > Column Layout

ANALYSIS > Moments > Anscombe-Glynn Kurtosis Test
ANALYSIS > Moments > Bonett-Seier Kurtosis Test
ANALYSIS > Moments > D'Agostino Skewness Test
ANALYSIS > Moments > Sample Moment

ANALYSIS > Multidimensional Scaling

ANALYSIS > Non-Parametric > Chi-Squared Test
ANALYSIS > Non-Parametric > Friedman Test
ANALYSIS > Non-Parametric > Kruskal-Wallis Test
ANALYSIS > Non-Parametric > Wilcoxon Test, Independent Samples
ANALYSIS > Non-Parametric > Wilcoxon Test, One Sample
ANALYSIS > Non-Parametric > Wilcoxon Test, Paired Samples

ANALYSIS > Normality Test > Anderson-Darling Normality Test
ANALYSIS > Normality Test > Kolmogorov-Smimov-Wilk Normality Test
ANALYSIS > Normality Test > Shapiro-Wilk Normality Test
ANALYSIS > Normality Test > Distribution Fit
ANALYSIS > Normality Test > Distribution Fit With Gamlss
ANALYSIS > Normality Test > Distribution Analysis (Cullen And Frey Graph)

ANALYSIS > Proportions > Binomial Test
ANALYSIS > Proportions > Single Sample
ANALYSIS > Proportions > 2 Samples

ANALYSIS > Summary > Frequencies
ANALYSIS > Summary > Explore Variables
ANALYSIS > Summary > Descriptives

ANALYSIS > Survival > Competing Risks, One Group
ANALYSIS > Survival > Kaplan-Meier Estimation, Compare Groups
ANALYSIS > Survival > Kaplan-Meier Estimation, One Groups

ANALYSIS > Tables > Table, Advanced
ANALYSIS > Tables > Table, Basic


ANALYSIS > Variance > Bartlett's Test
ANALYSIS > Variance > Levene's Test
ANALYSIS > Variance > Variance Test, Two Samples


DISTRIBUTION
DISTRIBUTION > Beta > Beta Probabilities
DISTRIBUTION > Beta > Beta Quantiles
DISTRIBUTION > Beta > Beta Distribution Plot
DISTRIBUTION > Beta > Sample from Beta Distribution

DISTRIBUTION > Binomial > Binomial Probabilities
DISTRIBUTION > Binomial > Binomial Quantiles
DISTRIBUTION > Binomial > Binomial Tail Probabilities
DISTRIBUTION > Binomial > Binomial Distribution Plot
DISTRIBUTION > Binomial > Sample From Binomial Distribution

DISTRIBUTION > Cauchy > Cauchy Probabilities
DISTRIBUTION > Cauchy > Cauchy Quantiles
DISTRIBUTION > Cauchy > Cauchy Distribution Plot
DISTRIBUTION > Cauchy > Sample from Cauchy Distribution

DISTRIBUTION > Chi-Squared > Chi-Squared Probabilities
DISTRIBUTION > Chi-Squared > Chi-Squared Quantiles
DISTRIBUTION > Chi-Squared > Chi-Squared Distribution Plot
DISTRIBUTION > Chi-Squared > Sample from Chi-Squared Distribution

DISTRIBUTION > Exponential > Exponential Probabilities
DISTRIBUTION > Exponential > Exponential Quantiles
DISTRIBUTION > Exponential > Exponential Distribution Plot
DISTRIBUTION > Exponential > Sample from Exponential Distribution

DISTRIBUTION > F > F Probabilities
DISTRIBUTION > F > F Quantiles
DISTRIBUTION > F > F Distribution Plot
DISTRIBUTION > F > Sample from F Distribution

DISTRIBUTION > Gamma > Gamma Probabilities
DISTRIBUTION > Gamma > Gamma Quantiles
DISTRIBUTION > Gamma > Gamma Distribution Plot
DISTRIBUTION > Gamma > Sample from Gamma Distribution

DISTRIBUTION > Geometric > Geometric Probabilities
DISTRIBUTION > Geometric > Geometric Quantiles
DISTRIBUTION > Geometric > Geometric Tail Probabilities
DISTRIBUTION > Geometric > Geometric Distribution Plot
DISTRIBUTION > Geometric > Sample From Geometric Distribution

DISTRIBUTION > Gumbel > Gumbel Probabilities
DISTRIBUTION > Gumbel > Gumbel Quantiles
DISTRIBUTION > Gumbel > Gumbel Distribution Plot
DISTRIBUTION > Gumbel > Sample from Gumbel Distribution

DISTRIBUTION > Hypergeometric > Hypergeometric Probabilities
DISTRIBUTION > Hypergeometric > Hypergeometric Quantiles
DISTRIBUTION > Hypergeometric > Hypergeometric Tail Probabilities
DISTRIBUTION > Hypergeometric > Hypergeometric Distribution Plot
DISTRIBUTION > Hypergeometric > Sample From Hypergeometric Distribution

DISTRIBUTION > Logistic > Logistic Probabilities
DISTRIBUTION > Logistic > Logistic Quantiles
DISTRIBUTION > Logistic > Logistic Distribution Plot
DISTRIBUTION > Logistic > Sample from Logistic Distribution

DISTRIBUTION > Lognormal > Lognormal Probabilities
DISTRIBUTION > Lognormal > Lognormal Quantiles
DISTRIBUTION > Lognormal > Lognormal Distribution Plot
DISTRIBUTION > Lognormal > Sample from Lognormal Distribution

DISTRIBUTION > Negative Binomial > Negative Binomial Probabilities
DISTRIBUTION > Negative Binomial > Negative Binomial Quantiles
DISTRIBUTION > Negative Binomial > Negative Binomial Tail Probabilities
DISTRIBUTION > Negative Binomial > Negative Binomial Distribution Plot
DISTRIBUTION > Negative Binomial > Sample From Negative Binomial Distribution

DISTRIBUTION > Normal > Normal Probabilities
DISTRIBUTION > Normal > Normal Quantiles
DISTRIBUTION > Normal > Normal Distribution Plot
DISTRIBUTION > Normal > Sample from Normal Distribution

DISTRIBUTION > Poisson > Poisson Probabilities
DISTRIBUTION > Poisson > Poisson Quantiles
DISTRIBUTION > Poisson > Poisson Tail Probabilities
DISTRIBUTION > Poisson > Poisson Distribution Plot
DISTRIBUTION > Poisson > Sample From Poisson Distribution

DISTRIBUTION > T > T Probabilities
DISTRIBUTION > T > T Quantiles
DISTRIBUTION > T > T Distribution Plot
DISTRIBUTION > T > Sample from T Distribution

DISTRIBUTION > Uniform > Uniform Probabilities
DISTRIBUTION > Uniform > Uniform Quantiles
DISTRIBUTION > Uniform > Uniform Distribution Plot
DISTRIBUTION > Uniform > Sample from Uniform Distribution

DISTRIBUTION > Weibull > Weibull Probabilities
DISTRIBUTION > Weibull > Weibull Quantiles
DISTRIBUTION > Weibull > Weibull Distribution Plot
DISTRIBUTION > Weibull > Sample from Weibull Distribution


GRAPHICS
GRAPHICS > Bar Chart
GRAPHICS > Box Plot
GRAPHICS > Contour Plot
GRAPHICS > 2D Contour Plot

GRAPHICS > Distribution > Density
GRAPHICS > Distribution > Histogram
GRAPHICS > Distribution > P-P
GRAPHICS > Distribution > Q-Q

GRAPHICS > HeatMap

GRAPHICS > Line Charts > Frequencies
GRAPHICS > Line Charts > Points
GRAPHICS > Line Charts > Plot Of Means
GRAPHICS > Line Charts > Two Y Axis

GRAPHICS > Maps > US County Map
GRAPHICS > Maps > US State Map
GRAPHICS > Maps > World Map

GRAPHICS > Pie Charts > Coxcomb
GRAPHICS > Pie Charts > Pie Chart

GRAPHICS > Scatter Plot
GRAPHICS > Stem And Leaf
GRAPHICS > Strip Chart
GRAPHICS > Violin


DOE
DOE > DoE Overview

DOE > Create DoE Factor Details

DOE > Import Design Response

DOE > Export Design

DOE > Create Design > Create 2-Level Screening Design
DOE > Create Design > Create Regular (Fractional) Factorial 2-Level Design
DOE > Create Design > Create Full Factorial Design
DOE > Create Design > Create Orthogonal Array Design
DOE > Create Design > Create D-Optiaml Design
DOE > Create Design > Create Central Composite (Quantitative) Design
DOE > Create Design > Create Box-Behnken (Quantitative) Design
DOE > Create Design > Create Latin-Hypercube (Quantitative) Design
DOE > Create Design > Create Taguchi Parameter Design

DOE > Inspect Design > Inspect Design
DOE > Inspect Design > Plot Design (General)
DOE > Inspect Design > Browse FrF2 Design Catalog
DOE > Inspect Design > Browse Orthogonal Design Catalog

DOE > Modify Design > Add/Remove Response
DOE > Modify Design > Add Centerpoint 2-Level Design (Quantitative)

DOE > Analyze Design > Design Analysis - Linear Model
DOE > Analyze Design > Design Analysis - Response Surface Model
DOE > Analyze Design > Main Effects And Interaction Plots (General)
DOE > Analyze Design > Half Normal Plot For 2 Level



SIX SIGMA

SIX SIGMA > SixSigma Overview

SIX SIGMA > Cause And Effect

SIX SIGMA > Preto Chart

SIX SIGMA > Loss Function Analysis

SIX SIGMA > MSA > Gage R&R
SIX SIGMA > MSA > Attribute Agreement
SIX SIGMA > MSA > Gage Bias Analysis

SIX SIGMA > Process Capability > Process Capability (Qcc Pkg)
SIX SIGMA > Process Capability > Process Capability (SixSigma Pkg)

SIX SIGMA > Shewhart Charts > Shewhart Charts (Xbar, R, S)
SIX SIGMA > Shewhart Charts > Shewhart Charts (P, NP, C, U)
SIX SIGMA > Shewhart Charts > Shewhart Charts (Xbar.One/I-MR)
SIX SIGMA > Shewhart Charts > Shewhart Charts (I-MR Between/Within)

SIX SIGMA > Cusum Chart

SIX SIGMA > EWMA Chart

SIX SIGMA > MQCC Chart

SIX SIGMA > Multi-Vari Chart



MODEL FITTING
MODEL FITTING > Contrasts > Display Contrasts
MODEL FITTING > Contrasts > Set Contrasts

MODEL FITTING > GLZM

MODEL FITTING > IRT > Partial Credit Model
MODEL FITTING > IRT > Partial Credit Model (Multi-Faceted)
MODEL FITTING > IRT > Rating Scale Model
MODEL FITTING > IRT > Rating Scale Model (Multi-Faceted)
MODEL FITTING > IRT > Simple Rasch Model
MODEL FITTING > IRT > Simple Rasch Model (Multi-Faceted)

MODEL FITTING > KNN > KNN
MODEL FITTING > KNN > Predict With KNN

MODEL FITTING > Regression > Cox, Advanced
MODEL FITTING > Regression > Cox, Basic
MODEL FITTING > Regression > Linear, Basic
MODEL FITTING > Regression > Linear, Advanced
MODEL FITTING > Regression > Logistic, Basic
MODEL FITTING > Regression > Logistic, Advanced
MODEL FITTING > Regression > Multinomial Logit
MODEL FITTING > Regression > Ordinal
MODEL FITTING > Regression > Quantile

MODEL FITTING > Mixed Models

MODEL FITTING > Naive Bayes

MODEL FITTING > Neural Nets > Multi-Layer Perceptron
MODEL FITTING > Neural Nets > Neuralnets

MODEL FITTING > Trees > Decision Trees
MODEL FITTING > Trees > Extreme Gradient Boosting
MODEL FITTING > Trees > Random Forest
MODEL FITTING > Trees > Optimize
MODEL FITTING > Trees > Tune

MODEL FITTING > Save Models

MODEL FITTING > Load Models


MODEL TUNING
MODEL TUNING > Bootstrap Resampling
MODEL TUNING > K-Fold Cross Validation
MODEL TUNING > Leave One Out Cross Validation
MODEL TUNING > Repeated KFold Cross Validation


MODEL EVALUATION

MODEL EVALUATION > Add Statistics To Dataset
MODEL EVALUATION > ANOVA & Likelihood Ratio

MODEL EVALUATION > Compare > Compare Models
MODEL EVALUATION > Compare > Compare N Models
MODEL EVALUATION > Compare > Quant Reg Models

MODEL EVALUATION > Compare ROC Curves

MODEL EVALUATION > Confidence Interval

MODEL EVALUATION > Fit > AIC
MODEL EVALUATION > Fit > BIC
MODEL EVALUATION > Fit > Hosmer-Lemeshow Test
MODEL EVALUATION > Fit > Pseudo R Squared


MODEL EVALUATION > IRT > ICC Plots
MODEL EVALUATION > IRT > Item And Test Information
MODEL EVALUATION > IRT > Item Fit
MODEL EVALUATION > IRT > Likelihood Ratios And Plot Betas
MODEL EVALUATION > IRT > Person Fit
MODEL EVALUATION > IRT > Plot Person-Item Map

MODEL EVALUATION > Outlier Test

MODEL EVALUATION > Plot A Model

MODEL EVALUATION > Predict > Model Scoring

MODEL EVALUATION > Stepwise

MODEL EVALUATION > Summarize > Model Statistics
MODEL EVALUATION > Summarize > Parameter Estimates
MODEL EVALUATION > Summarize > Summarize A Model
MODEL EVALUATION > Summarize > Summarize N Models

MODEL EVALUATION > VIF


FORECASTING
FORECASTING > Automated ARIMA
FORECASTING > Exponential Smoothing
FORECASTING > Holt Winters, Non-Seasonal
FORECASTING > Holt-Winters, Seasonal
FORECASTING > Plot Time Series, Separate Or Combined
FORECASTING > Plot Time Series, With Correlations


AGREEMENT
AGREEMENT > Scale > Cronbachs Alpha
AGREEMENT > Scale > McDonald's Omega

AGREEMENT > Method > Bland-Altman Plot
AGREEMENT > Method > Cohen's Kappa
AGREEMENT > Method > Diagnostic Testing
AGREEMENT > Method > Fleiss' Kappa
AGREEMENT > Method > Intraclass Correlation Coefficients

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