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 79 pages are in this category, out of 79 total.
C
- Create New Variables - Binary
- Create New Variables - Case-Level Shares
- Create New Variables - Combine Several Questions as a Grid
- Create New Variables - Create New Bottom 2 Category Variables (That is, Bottom 2 Boxes)
- Create New Variables - Create New Bottom 3 Category Variables (That is, Bottom 3 Boxes)
- Create New Variables - Create New Bottom K Category Variables (That is, Bottom K Boxes)
- Create New Variables - Create New Top 2 Category Variables (That is, Top 2 Boxes)
- Create New Variables - Create New Top 3 Category Variables (That is, Top 3 Boxes)
- Create New Variables - Create New Top K Category Variables (That is, Top K Boxes)
- Create New Variables - Identifying and Removing Outliers
- Create New Variables - Log
- Create New Variables - Midpoint Coding and Quantification
- Create New Variables - NPS Recoding
- Create New Variables - Rebase Multiple Response Data to NET
- Create New Variables - Scale Within Case - Center
- Create New Variables - Scale Within Case - Rank
- Create New Variables - Scale Within Case - Standardize
- Create New Variables - Scale Within Case - Unit
- Create New Variables - Scale Within Variable - Center
- Create New Variables - Scale Within Variable - Rank
- Create New Variables - Scale Within Variable - Standardize
- Create New Variables - Scale Within Variable - Unit
- Create New Variables - Square-root
- Create New Variables - Translate
D
- Delete tables and plots - Broken tables
- Delete tables and plots - If not significant at a specified level
- Delete tables and plots - If not significant at the 0.001 level (99.9%)
- Delete tables and plots - If not significant at the 0.01 level (99%)
- Delete tables and plots - If not significant at the 0.05 level (95%)
- Delete tables and plots - Remove Tables With Sample Size Lower Than Specified Value
M
- Marketing - Legacy TURF (Total Unduplicated Reach and Frequency)
- Marketing - MaxDiff - Analyze as a Ranking Question - MaxDiff Setup from an Experimental Design
- Modifying Data - Create New Bottom K Category NETs (That is, Bottom K Boxes)
- Modifying Data - Create New Top K Category NETs (That is, Top K Boxes)
- Modifying Data - Merge 10 Point Scales Into 3 Categories
- Modifying Data - Merge 7 Point Scales Into 3 Categories
- Modifying Data - Merge and Flatten Scales
- Modifying Data - Remove Don't Know Categories
- Modifying Data - Use a Question as a Template for Modifying Other Questions
- Modifying Labels - Other Specify Categories as Other
- Modifying Tables or Plots - Number all of the Tables in the Project
- Modifying Tables or Plots - Remove JavaScript from Selected Tables and Plots
- Modifying Tables or Plots - Replacing One Question with Another in All Selected Tables and Plots
- Modifying Tables or Plots - Update Table Page Names and Titles
- Multivariate - All Combinations Of Pick Any Categories
P
- Plot/Chart - Scatterplot from 2 Tables
- Preliminary Project Setup - Checking for Errors in Data File Construction
- Preliminary Project Setup - Create Tables for Data Checking
- Preliminary Project Setup - Hide Uninteresting Data
- Preliminary Project Setup - Identify Questions with Straight-lining/Flat-lining
- Preliminary Project Setup - Reverse Scales
- Preliminary Project Setup - Summary Plots
- Preliminary Project Setup - Summary Tables
R
- Recoding - Midpoint Coding and Quantification
- Recoding - Recoding Higher Values (Capping)
- Recoding - Recoding Lower Values (Capping)
- Recoding - Setting Higher Values to Missing
- Recoding - Setting Lower Values to Missing
- Regression - Driver (Importance) Analysis - Beta
- Regression - Driver (Importance) Analysis - Contribution
- Regression - Driver (Importance) Analysis - Elasticity
- Regression - Driver (Importance) Analysis - Kruskal
- Regression - Driver (Importance) Analysis - Linear Regression Coefficients
- Regression - Driver (Importance) Analysis - Relative Importance Analysis
- Regression - Driver (Importance) Analysis - Shapley