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Additional Support
 
Installing R package in BlueSky Statisics v10

 
Installing R package in BlueSky Statisics v10

 

        'fontconfig' error on Mac in BlueSky Statistics v10.x



 

        Locating BlueSky Statistics logs on a Mac



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.
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).
Known issues with the BlueSky Statistics 10 Beta
 

Known issues with the BlueSky Statistics 10 Beta

1. Opening Excel\CSV files with names that begin with numbers, have spaces or hyphens in the file names or have columns that begin with numbers cause the application to hang
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.

2. We had complaints where the application does not launch correctly and the progress bar remains stuck at 100%
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".

3. We don't supply an installer for 32 bit Windows systems. Drop us a note and if there are several users requesting this, we will consider creating a setup/installer.
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
Open support ticket for application launch issues
 
Before submitting a question
1. Please see if your question is answered on the BlueSky Statistics forum at (StackOverflow)
2. Review the links on the right hand side of the page i.e. BlueSky Statistics 10 Launch Issues
3. Commercial customers please enter your organization/company name to ensure an expedient response 		BlueSky Statistics 10 Launch Issues
Open New Support Ticket For Application Launch Issues

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Last Name: *
Email ID: *
NOTE: Our response may not reach you if there is any issue with your mail server or if our responses are going into your spam folder. Please enter working email address to avoid any inconvenience.
Organization/Company/University Name: *
Phone: -
Technical details:
Operating System: e.g. macOS 11 Big Sur, Windows 10
RStudio Version (if installed):
Version of R (if installed): e.g. R-3.6.3, R-4.0.1
Version of RTools(if installed):
Version(s) of other R based application you have installed:

Description(any other launch related details you want to share):


Please enter the following code into the box provided:



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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