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This page is for maintaining links to QPacks which are used in blog posts. If you create a QPack for a blog post, link to it here below the page title.

Q

How to Predict Categories From Linear Discriminant Analysis in Excel

Linear Discriminant Analysis is used to predict the categories of a categorical variable based on the respondent's values from two or more numeric variables. The predicted categories from LDA can be saved to your data set using Machine Learning > Save Variable(s) > Discriminant Variables. Sometimes, it is necessary to make these predictions outside of Q, e.g. in a spreadsheet or an online tool. This page describes how to get the required data from the LDA to set up the calculation in Excel.

File:Cola Discriminant Functions.xlsx File:Cola Discriminant Pack.QPack

Using Stata Files

QScript for getting variable labels for a Stata DTA file that has been imported as an R data set.

File:Setup DTA Labels.QScript

Choice designs

File:Eggs design.xlsx

File:Eggs labels.xlsx

File:Eggs design with levels.xlsx

Displayr

How to Create a Correlation Matrix in R

File:Ownership.csv

Displayr

Small data sets for use in Tutorial Documents

File:TechnologyPreliminary.sav

File:TechnologyLarger.sav

File:SupermarketExcelStyle.csv

File:TechnologyGrid.sav

File:BurgerOct2017Small.sav

File:BurgerDec2017Small.sav

MaxDiff Files

File:MaxDiff Design.csv

Tables for correspondence analysis

File:AnimalScores.csv

Arrows