Additional Support | |||||||||||||
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Installing R package in BlueSky Statisics v10
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Installing R package in BlueSky Statisics v10
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'fontconfig' error on Mac in BlueSky Statistics v10.x
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Locating BlueSky Statistics logs on a Mac
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Are there any help documents or videos for getting started with BlueSky application? | |||||||||||||
Yes you can access our support video library by visiting www.blueskystatistics.com and then clicking on 'Support and Feedback' tab. |
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How do I access technical support? | |||||||||||||
Technical support will be available via email (support@blueskystatistics.com). We will try to get back to you, as soon as possible (within 24 hrs). |
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Known issues with the BlueSky Statistics 10 Beta | |||||||||||||
Known issues with the BlueSky Statistics 10 Beta
Work around: Please rename your Excel files to remove these
offending characters. We will issue a fix in the next 2 weeks or
earlier. The BlueSky Statistics 10 hangs, please see ONLY step 1 in the
document "
Setting the Path to the R executable with BlueSky Statistics 10" to end task the hung application. After
performing an end task, you can relaunch the application.
Work around: This happens because the R executable we supply cannot
be found in the path. Please follow ALL the steps in the document "
Setting the Path to the R executable with BlueSky Statistics 10".
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Menu Items | |||||||||||||
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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Open support ticket for application launch issues | |||||||||||||
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Setting the Path to the R executable with BlueSky Statistics 10 | |||||||||||||
Setting the Path to the R executable with BlueSky Statistics 10
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How do I contact you? | |||||||||||||
Please click here for our company contact information. |