Category:Automation Online Library
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 404 total.
(previous page) (next page)A
C
- Calculation - First
- Calculation - Last
- 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 - 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 - Flatten Question(s)
- 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 - 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 - Google Trends
- 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 - 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
- Marketing - MaxDiff - Diagnostic - Class Parameters Table
- Marketing - MaxDiff - Diagnostic - Class Preference Shares Table
- Marketing - MaxDiff - Diagnostic - Parameter Statistics Table
- Marketing - MaxDiff - Diagnostic - Posterior Intervals Plot
- Marketing - MaxDiff - Diagnostic - Trace Plots
- Marketing - MaxDiff - Ensemble of Models
- Marketing - MaxDiff - Experimental Design
- Marketing - MaxDiff - Hierarchical Bayes
- Marketing - MaxDiff - Latent Class Analysis
- Marketing - MaxDiff - Multinomial Logit
- Marketing - MaxDiff - Save Variable(s) - Class Membership
- Marketing - MaxDiff - Save Variable(s) - Class Membership Probabilities
- Marketing - MaxDiff - Save Variable(s) - Individual-Level Coefficients
- Marketing - MaxDiff - Save Variable(s) - Preference Shares
- Marketing - MaxDiff - Save Variable(s) - Proportion of Correct Predictions
- Marketing - MaxDiff - Save Variable(s) - RLH (Root Likelihood)
- Marketing - MaxDiff - Save Variable(s) - Sawtooth-Style Preference Shares (K Alternatives)
- Marketing - MaxDiff - Save Variable(s) - Zero-Centered Utilities
- Marketing - MaxDiff - Varying Coefficients
- Marketing - Price Sensitivity Meter
- Missing Data - Little's MCAR Test
- Missing Data - Plot by Case
- Missing Data - Plot of Patterns
- Missing Data - Save Variable(s) - Filter for Complete Cases
- Modify Cell Content - Add Symbols to Significant Cells
- Modify Cell Content - Add Text to Cells with Large Numbers
- Modify Cell Content - Blank Cells with Small Sample Sizes
- Modify Cell Content - Blank Cells with Small Values
- Modify Cell Content - Change Color of Cells with Small Sample Sizes
- Modify Cell Content - Change Missing Data (NaN) Symbol
- Modify Cell Content - Color Selected Rows or Columns
- Modify Cell Content - Highlight Cells Above and Below NET
- Modify Cell Content - Remove Decimals Without Rounding
- Modify Cell Content - Replace Small Values With Text
- Modify Cell Content - Round Data
- Modify Cell Content - Shade Alternate Rows or Columns
- Modify Cell Content - Shade Alternate Spans
- Modify Cell Content - Shade NET Rows and Columns
- Modify Data - Add Bottom K Category NETs (Bottom K Boxes)
- Modify Data - Add Top K Category NETs (Top K Boxes)
- Modify Data - Merge 10 Point Scales Into 3 Categories
- Modify Data - Merge 7 Point Scales Into 3 Categories
- Modify Data - Merge and Flatten Scales
- Modify Data - Merge Categories of Size 0.5% or Less
- Modify Data - Merge Categories of Size 1% or Less
- Modify Data - Merge Categories of Size 2% or Less
- Modify Data - Merge Categories of Size 3% or Less
- Modify Data - Merge Categories of Size 4% or Less
- Modify Data - Merge Categories of Size 5% or Less
- Modify Data - Merge Scales (Custom)
- Modify Data - Move NET to the Top for All Questions
- Modify Data - Remove Don't Know Categories
- Modify Data - Use Question as Template for Modifying Other Questions
- Modify Footers - Add Column Base Sizes
- Modify Footers - Add Column Header Footnote Indicating Small Sample Sizes
- Modify Footers - Add Descriptions of Selected Data (e.g., Question Name, Skips, Filtering) from File
- Modify Footers - Add Footer Showing Smallest Sample Size on Table
- Modify Footers - Add Footnote for Cells with Small Sample Sizes
- Modify Footers - Description of Selected Data (e.g., Question Name, Skips, Filtering)
- Modify Footers - Display SPSS Custom Attribute
- Modify Footers - Display Which Columns Are Being Compared
- Modify Headers - Abbreviate Month Labels
- Modify Headers - Add Column Names to Column Labels
- Modify Headers - Add Sample Size to Column Labels
- Modify Headers - Automatically Remove NET Column
- Modify Headers - Automatically Remove NET Row
- Modify Headers - Automatically Remove NETs from Table
- Modify Headers - Automatically Rename Column Labels
- Modify Headers - Automatically Rename Row Labels
- Modify Labels - Add Variable Names and Values to Labels
