Hi, I have a panel data. I want to perform principal component analysis over the three continuous variables which identify one main concept. I want to derive a principal factor score
that captures the common component underlying these three measures. Thus, I can get a composite measure of these three variables, using the first principal component which captures a substantial portion of the variance in these variables.
Anyone knows how to do this? Thanks!!
Related Posts with Compute a composite measure of several variables
Python 3.8, error r(7100)I have been trying out the latest release of Python, 3.8.0, but when I try to use it I get the follo…
How to extract a sub stringHi all, I wanted to extract a sub string from a string, The string in my data set is as follows 222…
Mata compiler ignores eltypes / orgtypes for variable declarationsHi, I was surprised to see that the Mata compiler seems to ignore much of the eltype and orgtype sp…
Identifier with huge codesHallo everybody and thanks in advance for any kind of suggestion. I am working on a large dataset ab…
expand 2x2 table by merging additional variables as columns with tabout or putexcelHi, I have a data that looks like this: Code: * Example generated by -dataex-. To install: ssc in…
Subscribe to:
Post Comments (Atom)
0 Response to Compute a composite measure of several variables
Post a Comment