Category:QScript Examples Library
The list below contains links to examples of the use of QScript. QScripts can either be run from the Online Library, or, be saved, edited and run as a file.
Refer to:
- QScript Online Library for a list of QScripts that can be run directly from Q.
- QScript Snippets for a list of shorter examples that show you how to write QScripts.
See also
- QScript for an overview of how the QScript system works.
- QScript Reference for information about the how different elements of Q (tables, questions, variables, etc) can be accessed by QScripts.
- Online JavaScript Libraries for functions that have been written to assist with the writing of QScripts and other JavaScript.
- JavaScript for a more general discussion of how the JavaScript programming language works.
- JavaScript Examples Library
- QScript for an overview of the documentation involving JavaScript.
Subcategories
This category has the following 2 subcategories, out of 2 total.
Q
Pages in category ‘QScript Examples Library’
The following 76 pages are in this category, out of 76 total.
C
- 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 - 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
D
- 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
M
- Marketing - Legacy TURF Analysis
- Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - MaxDiff Ranking Question from Design and Choice Data
- 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 - Remove Don't Know Categories
- Modify Data - Use Question as Template for Modifying Other Questions
- Modify Labels - Relabel Other/Specify Categories as Other
- Modify Tables or Plots - Number All Tables in Project
- Modify Tables or Plots - Remove JavaScript from Selected Tables and Plots
- Modify Tables or Plots - Rename Table Page Names and Titles with Table Name
- Modify Tables or Plots - Replace Question in All Selected Tables and Plots
- Multivariate - Table of All Combinations Of Pick Any Categories
P
- Plot/Chart - Scatterplot from 2 Tables
- Preliminary Project Setup - Check for Errors in Data File Construction
- Preliminary Project Setup - Identify Questions with Straight-Lining/Flat-Lining
- Preliminary Project Setup - Summary Plots
- Preliminary Project Setup - Summary Tables
- Preliminary Project Setup - Tables for Data Checking
R
- Recode - Recode High Values (Capping) in Numeric Variable(s)
- Recode - Recode Low Values (Capping) in Numeric Variable(s)
- Recode - Recode Variable(s) Using Code/Category Midpoints
- Recode - Set High Values to Missing in Numeric Variable(s)
- Recode - Set Low Values to Missing in Numeric Variable(s)
- Regression - Legacy Driver Analysis - Table of Beta Scores
- Regression - Legacy Driver Analysis - Table of Contribution Scores
- Regression - Legacy Driver Analysis - Table of Elasticity Scores
- Regression - Legacy Driver Analysis - Table of Kruskal Importance Scores
- Regression - Legacy Driver Analysis - Table of Linear Regression Coefficients
- Regression - Legacy Driver Analysis - Table of Relative Weights (Relative Importance Analysis)
- Regression - Legacy Driver Analysis - Table of Shapley Importance Scores
