On this R-data statistics page, you will find information about the Dwyer data set which pertains to 8 cognitive variables used by Dwyer for an example.. The Dwyer data set is found in the psych R package. You can load the Dwyer data set in R by issuing the following command at the console data("Dwyer"). This will load the data into a variable called Dwyer. If R says the Dwyer data set is not found, you can try installing the package by issuing this command install.packages("psych") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Dwyer R data set. The size of this file is about 366 bytes.
8 cognitive variables used by Dwyer for an example.
Dwyer (1937) introduced a technique for factor extension and used 8 cognitive variables from Thurstone. This is the example data set used in his paper.
The format is: num [1:8, 1:8] 1 0.58 -0.28 0.01 0.36 0.38 0.61 0.15 0.58 1 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:8] "V1" "V2" "V3" "V4" ... ..$ : chr [1:8] "V1" "V2" "V3" "V4" ...
Data matrix retyped from the original publication.
Dwyer, Paul S. (1937), The determination of the factor loadings of a given test from the known factor loadings of other tests. Psychometrika, 3, 173-178
Ro <- Dwyer[1:7,1:7]
Roe <- Dwyer[1:7,8]
fo <- fa(Ro,2,rotate="none")
Dataset imported from https://www.r-project.org.