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Calligra Sheets (formerly KSpread and Calligra Tables) is a free software spreadsheet application that is part of Calligra Suite, an integrated graphic art and office suite developed by KDE.
Google Docs Editors is a web-based productivity office suite offered by Google within its Google Drive service. The suite includes: Google Docs (word processor) Google Sheets (spreadsheet) Google Slides (presentation software), Google Drawings (vector drawing program) Google Forms (online forms, quizzes and surveys) Google Sites (graphical ...
Google Slides is a presentation program and part of the free, web-based Google Docs suite offered by Google. Google Slides is available as a web application, mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft PowerPoint file formats. [5]
[[Category:Music templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Music templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
Per Wikipedia:Manual of Style (music)#Accidentals, this template (or the terms for the accidentals) should be used in preference to the lowercase letter "b" and the number sign (#). The images used here are categorized at commons:Category:Template:Music, so if you change an image used please try to remember to update the categorization.
Template documentation This template's initial visibility currently defaults to autocollapse , meaning that if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden apart from its title bar; if not, it is fully visible.
MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]
It seems all that's left is to calculate and normalize the , which can be done by solving the eigenvector equation N λ a = K a {\displaystyle N\lambda \mathbf {a} =K\mathbf {a} } where N {\displaystyle N} is the number of data points in the set, and λ {\displaystyle \lambda } and a {\displaystyle \mathbf {a} } are the eigenvalues and ...