Category:Automation Online Library
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This page links to the contents of the online automation library available from within Q version 4.8 and later.
These items can be used in Q by selecting Automate > Browse Online Library. Those items which are Rules are marked with 
and those items which are QScripts are marked with 
Pages in category "Automation Online Library"
The following 200 pages are in this category, out of 478 total.
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C
- Calculation - Any of - Any of
- Calculation - Any of - Any of Each Column
- Calculation - Any of - Any of Each Row
- Calculation - Average - Average
- Calculation - Average - Average Each Column
- Calculation - Average - Average Each Row
- Calculation - Count - Count
- Calculation - Count - Count Each Column
- Calculation - Count - Count Each Row
- Calculation - Divide
- Calculation - First
- Calculation - Last
- Calculation - Maximum - Maximum
- Calculation - Maximum - Maximum Each Column
- Calculation - Maximum - Maximum Each Row
- Calculation - Minimum - Minimum
- Calculation - Minimum - Minimum Each Column
- Calculation - Minimum - Minimum Each Row
- Calculation - Multiply
- Calculation - None of - None of
- Calculation - None of - None of Each Column
- Calculation - None of - None of Each Row
- Calculation - Standard Deviation - Standard Deviation
- Calculation - Standard Deviation - Standard Deviation Each Column
- Calculation - Standard Deviation - Standard Deviation Each Row
- Calculation - Subtract
- Calculation - Sum - Sum
- Calculation - Sum - Sum Each Column
- Calculation - Sum - Sum Each Row
- Calculation - Variance - Variance
- Calculation - Variance - Variance Each Column
- Calculation - Variance - Variance Each Row
- Choice Modeling - Analyze with Experiment Question (Legacy) - Experiment Question from JMP Files
- Choice Modeling - Analyze with Experiment Question (Legacy) - Experiment Question from Sawtooth CHO File
- Choice Modeling - Analyze with Experiment Question (Legacy) - Experiment Question from Sawtooth Dual Format Files
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Attribute Importance
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Utilities
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Utilities (Min 0, Max 100)
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Within-Attribute Preference Shares
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Zero-Centered Diffs (Utilities with Mean 0, Mean Range 100)
- Choice Modeling - Compare Models
- Choice Modeling - Convert Alchemer (Survey Gizmo) Conjoint Data for Analysis
- Choice Modeling - Diagnostic - Class Parameters Table
- Choice Modeling - Diagnostic - Experimental Design - Balances and Overlaps of Design
- Choice Modeling - Diagnostic - Experimental Design - Numeric Design
- Choice Modeling - Diagnostic - Experimental Design - Parameter Standard Errors of Design
- Choice Modeling - Diagnostic - Parameter Statistics Table
- Choice Modeling - Diagnostic - Posterior Intervals Plot
- Choice Modeling - Diagnostic - Trace Plots
- Choice Modeling - Ensemble of Models
- Choice Modeling - Experimental Design
- Choice Modeling - Export Design To Qualtrics
- Choice Modeling - Hierarchical Bayes
- Choice Modeling - Latent Class Analysis
- Choice Modeling - Multinomial Logit
- Choice Modeling - Preview Choice Questionnaire
- Choice Modeling - Save Variable(s) - Class Membership
- Choice Modeling - Save Variable(s) - Class Membership Probabilities
- Choice Modeling - Save Variable(s) - Individual-Level Coefficients
- Choice Modeling - Save Variable(s) - Proportion of Correct Predictions
- Choice Modeling - Save Variable(s) - RLH (Root Likelihood)
- Choice Modeling - Save Variable(s) - Utilities (Mean 0)
- Choice Modeling - Save Variable(s) - Utilities (Mean 0, Max Range 100)
- Choice Modeling - Save Variable(s) - Utilities (Mean 0, Mean Range 100)
- Choice Modeling - Save Variable(s) - Utilities (Min 0)
- Choice Modeling - Save Variable(s) - Utilities (Min 0, Max Range 100)
- Choice Modeling - Save Variable(s) - Utilities (Min 0, Mean Range 100)
- Choice Modeling - Utilities Plot
- Correlation - Correlation Matrix
- Correlation - Distance Matrix
- Correlation - Scatterplot Matrix
- Create New Variables - Automatically Combine Categories - By Geography - Australia - To Local Government Areas (LGAs)
- Create New Variables - Automatically Combine Categories - By Geography - Australia - To States
- Create New Variables - Automatically Combine Categories - By Geography - Australia and New Zealand - To Local Government Areas (LGAs)
- Create New Variables - Automatically Combine Categories - By Geography - Australia and New Zealand - To States/Regions
- Create New Variables - Automatically Combine Categories - By Geography - Canada - To Provinces
- Create New Variables - Automatically Combine Categories - By Geography - Canada - To Regions
- Create New Variables - Automatically Combine Categories - By Geography - Europe (including UK) - To Communites/Districts
- Create New Variables - Automatically Combine Categories - By Geography - Europe (including UK) - To Countries
- Create New Variables - Automatically Combine Categories - By Geography - Europe (including UK) - To Provinces/Counties
- Create New Variables - Automatically Combine Categories - By Geography - Europe (including UK) - To States/Regions
- Create New Variables - Automatically Combine Categories - By Geography - Europe - To Communities
- Create New Variables - Automatically Combine Categories - By Geography - Europe - To Countries
- Create New Variables - Automatically Combine Categories - By Geography - Europe - To Provinces
- Create New Variables - Automatically Combine Categories - By Geography - Europe - To States
- Create New Variables - Automatically Combine Categories - By Geography - New Zealand - To Local Government Areas (LGAs)
- Create New Variables - Automatically Combine Categories - By Geography - New Zealand - To Regions
- Create New Variables - Automatically Combine Categories - By Geography - United Kingdom - To Counties
- Create New Variables - Automatically Combine Categories - By Geography - United Kingdom - To Countries
- Create New Variables - Automatically Combine Categories - By Geography - United Kingdom - To Districts
- Create New Variables - Automatically Combine Categories - By Geography - United Kingdom - To Regions
- Create New Variables - Automatically Combine Categories - By Geography - United States - To Counties
- Create New Variables - Automatically Combine Categories - By Geography - United States - To Regions
- Create New Variables - Automatically Combine Categories - By Geography - United States - To States
- Create New Variables - Automatically Combine Categories - By Geography - United States and Canada - To Countries
- Create New Variables - Automatically Combine Categories - By Geography - United States and Canada - To Regions
- Create New Variables - Automatically Combine Categories - By Geography - United States and Canada - To States/Provinces
- Create New Variables - Automatically Combine Categories - By Geography - World - To Countries
- Create New Variables - Automatically Combine Categories - By Geography - World - To States/Provinces
- Create New Variables - Automatically Combine Categories - By Pattern (CHAID) - Adjacent Categories
- Create New Variables - Automatically Combine Categories - By Pattern (CHAID) - Adjacent Categories Unless Missing Value Code
- Create New Variables - Automatically Combine Categories - By Pattern (CHAID) - Any Categories
- Create New Variables - Automatically Combine Categories - By Value - Custom Categories
- Create New Variables - Automatically Combine Categories - By Value - Equally Spaced Categories
- Create New Variables - Automatically Combine Categories - By Value - Percentiles
- Create New Variables - Automatically Combine Categories - By Value - Tidy Categories
- Create New Variables - Binary Variable(s)
- Create New Variables - Bottom 2 Category Variable(s) (Bottom 2 Boxes)
- Create New Variables - Bottom 3 Category Variable(s) (Bottom 3 Boxes)
- Create New Variables - Bottom K Category Variable(s) (Bottom K Boxes)
- Create New Variables - Case-Level Shares
- Create New Variables - Combine Questions as a Grid
- Create New Variables - Contrast Periods
- Create New Variables - Duplicates
- Create New Variables - Flatten Question(s)
- Create New Variables - Impute Missing Data
- Create New Variables - Log Transform Variable(s)
- Create New Variables - Numeric Variable(s) from Code/Category Midpoints
- Create New Variables - Rebase Multiple Response Data in Variable(s) to NET
- Create New Variables - Recode Net Promoter Score (NPS) Variable(s)
- Create New Variables - Scale Variable(s) - Center Within Case
- Create New Variables - Scale Variable(s) - Center Within Variable
- Create New Variables - Scale Variable(s) - Ranks Within Case
- Create New Variables - Scale Variable(s) - Ranks Within Variable
- Create New Variables - Scale Variable(s) - Standardize Within Case
- Create New Variables - Scale Variable(s) - Standardize Within Variable
- Create New Variables - Scale Variable(s) - Unit Interval Within Case
- Create New Variables - Scale Variable(s) - Unit Interval Within Variable
- Create New Variables - Split Grid by Columns
- Create New Variables - Split Grid by Rows
- Create New Variables - Square-Root Variable(s)
- Create New Variables - Top 2 Category Variable(s) (Top 2 Boxes)
- Create New Variables - Top 3 Category Variable(s) (Top 3 Boxes)
- Create New Variables - Top K Category Variable(s) (Top K Boxes)
- Create New Variables - Translate Text
- Create New Variables - Variable(s) with Outliers Removed
- Create New Variables - Variables from Merged Categories
D
- Data - Countries from IP Address(es) (Geocoding)
- Data - Dynamic Text Box
- Data - Sample Size Description
- Data - Stock Prices
- Delete Tables and Plots - Delete If Broken
- Delete Tables and Plots - Delete If Not Significant at Specified Level
- Delete Tables and Plots - Delete If Not Significant at the 0.001 Level (99.9%)
- Delete Tables and Plots - Delete If Not Significant at the 0.01 Level (99%)
- Delete Tables and Plots - Delete If Not Significant at the 0.05 Level (95%)
- Delete Tables and Plots - Delete If Sample Size Lower Than Specified Value
- Dimension Reduction - Correspondence Analysis of a Square Table
- Dimension Reduction - Correspondence Analysis of a Table
- Dimension Reduction - Diagnostic - Component Plot
- Dimension Reduction - Diagnostic - Goodness of Fit Plot
- Dimension Reduction - Diagnostic - Moonplot
- Dimension Reduction - Diagnostic - Quality Table
- Dimension Reduction - Diagnostic - Scree Plot
- Dimension Reduction - Dimension Reduction Scatterplot
- Dimension Reduction - Multidimensional Scaling (MDS)
- Dimension Reduction - Multiple Correspondence Analysis
- Dimension Reduction - Principal Components Analysis
- Dimension Reduction - Principal Components Analysis Biplot
- Dimension Reduction - Save Variable(s) - Components/Dimensions
- Dimension Reduction - t-SNE
F
H
M
- Machine Learning - Classification And Regression Trees (CART)
- Machine Learning - Compare Models
- Machine Learning - Deep Learning
- Machine Learning - Diagnostic - Analysis Report
- Machine Learning - Diagnostic - Prediction-Accuracy Table
- Machine Learning - Diagnostic - Table of Discriminant Function Coefficients
- Machine Learning - Ensemble of Models
- Machine Learning - Gradient Boosting
- Machine Learning - Linear Discriminant Analysis
- Machine Learning - Random Forest
- Machine Learning - Save Variable(s) - Discriminant Variables
- Machine Learning - Save Variable(s) - Predicted Values
- Machine Learning - Save Variable(s) - Probabilities of Each Response
- Machine Learning - Support Vector Machine
- Marketing - Brand Health Table
- Marketing - Diagnostic - Change Explorer Prototype
- Marketing - Legacy TURF Analysis
- Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - MaxDiff Ranking Question from Design and Choice Data
- Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Preference Share Variables from Individual-Level Parameter Means (All Alternatives)
- Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Sawtooth-Style Preference Share Variables from Individual-Level Parameter Means (K Alternatives)
- Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Zero-Centered Utilities from Individual-Level Parameter Means (All Alternatives)
- Marketing - MaxDiff - Compare Models
- Marketing - MaxDiff - Convert Alchemer (Survey Gizmo) MaxDiff Data for Analysis