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Additional Support
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 > Expand

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

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



VARIABLES

VARIABLES > Bin

VARIABLES > Compute > Apply A Function To Rows
VARIABLES > Compute > Dummy Code

VARIABLES > Concatenate

VARIABLES > Convert > To Factor
VARIABLES > Convert > Date To String
VARIABLES > Convert > String To Date

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 > 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 > Correlation Test
ANALYSIS > Crosstab

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

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

ANALYSIS > Means > ANCOVA
ANALYSIS > Means > ANOVA, One Way With Blocks
ANALYSIS > Means > ANOVA, One-Way (Random Blocks)
ANALYSIS > Means > Multi-Way ANOVA
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 > 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 > Proportions > Binomial Test
ANALYSIS > Proportions > Single Sample
ANALYSIS > Proportions > 2 Samples

ANALYSIS > Summary > Frequencies
ANALYSIS > Summary > Factors, Top N
ANALYSIS > Summary > Summary Statistics
ANALYSIS > Summary > Numerical Summaries, Using Summarize
ANALYSIS > Summary > Numerical Summaries, Using Describe
ANALYSIS > Summary > Numerical Summaries
ANALYSIS > Summary > Shapiro-Wilk Normality Test

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



DISTRIBUTION

DISTRIBUTION > Beta Probabilities


GRAPHICS

GRAPHICS > Bar Chart
GRAPHICS > Box Plot
GRAPHICS > 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



MODEL FITTING

MODEL FITTING > Contrasts > Display Contrasts
MODEL FITTING > Contrasts > Set Contrasts
MODEL FITTING > GLZM
MODEL FITTING > KNN

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

MODEL EVALUATION > Add Statistics To Dataset
MODEL EVALUATION > ANOVA & Likelihood Ratio
MODEL EVALUATION > Outlier Test
MODEL EVALUATION > Compare Models
MODEL EVALUATION > Confidence Interval
MODEL EVALUATION > Plot A Model
MODEL EVALUATION > Stepwise

MODEL EVALUATION > Summarize > Model Statistics
MODEL EVALUATION > Summarize > Parameter Estimates
MODEL EVALUATION > Summarize > Summarize

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

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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