Research funding data

A university research manager wants to determine how ten academic disciplines compare to each other in relation to five different funding categories. The manager collects 2-way classification data for 796 researchers.

You can use this data to demonstrate Simple Correspondence Analysis.

Worksheet column Description
CT1 Number of researchers at funding level A (highest funding)
CT2 Number of researchers at funding level B
CT3 Number of researchers at funding level C
CT4 Number of researchers at funding level D (lowest funding)
CT5 Number of researchers at funding level E (unfunded)
RowNames The row names (academic disciplines): Geology Biochemistry Chemistry Zoology Physics Engineering Microbiology Botany Statistics Mathematics
ColNames The column names (funding levels):A B C D E
RowSupp1 Additional row of supplementary data for museum researchers
RowSupp2 Additional row of supplementary data for or mathematical sciences (sum of Mathematics and Statistics)
RSNames The row names for the supplementary data:Museums MathSci

Reference

The example and data are from M. Greenacre (2007). Correspondence Analysis in Practice. Taylor and Hill, page 75.

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