Hello,
I am starting to use R for various analyses, for example I use the ca package
to do Correspondence Analysis. I am also looking to use packages such as:
pls Partial Least Squares
plspm Partial Least Squares Path Modelling
However, although I can use packages such as these on un-weighted data there
does not appear to be a facility to take account of weighted data.
I am a statistician working for a Market Research company where in many
projects I work on weighted data. Typically, the data will be structured in the
following manner:
Case_id y x1 x2 x3 x4 weight
1 5 3 4 1 4 0.345
2 3 4 3 1 5 0.543
3 2 2 3 3 3 1.456
4 4 4 2 4 3 0.345
5 3 3 4 3 2 1.200
.
.
etc
The above data is fictional. Where y is the dependent variable, and there
are 4 independent variables (x1, x2, x3 and x4), and weight is the weighting
factor variable.
For some functions in R such as lm (Linear Regression) the functionality is
provided to conduct linear regression on weighted data:
e.g. model <- lm(y ~ x1+x2+x3+x4, weights=weight)
I was just wondering if anyone had any suggestions of how to apply packages
such as pls and plspm on weighted data? Or should I contact the Maintainers of
the packages to see if they can include a weights command?
Many Thanks for any assistance in this area.
Kind Regards
Peter
Peter Harding | Senior Methodologist | Marketing Sciences & Advanced Analytics
| Harris Interactive
O: +44 (0)20 8263 5249 | M: +44 (0)7890 561391 | E:
phard...@harrisinteractive.com
Watermans Park, High Street, Brentford, TW8 0BB, UK
www.harrisinteractive.com/europe
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