Hello and Thanks in advance for your suggestions.
As a new member, I do not know exactly if such problem has ever been discussed
in this forum.
I need a small help using FactoMineR
and RcmdrPlugin.FactoMineR package to calculate weights for the
individual observational units. My data looks like: You can treat the data
spaced instead of tabbed.
(I_1_3)(I_1_4)(Weight_I_1)(I_2_1)(I_2_2)(I_2_3)(I_2_4)(I_2_5)(I_2_6)(I_2_7)(I_2_8)(Weight_I_2)20-22223122-20-22223122-30-22213342-30-22213342-30-22223322-24-02112222-24-02112222-23-20013143-23-20013143-34-02013144-35-22213144-35-20013111-34-22213322-30-22111322-
up to 55 observations and more variables, where the header are names of 12
variables in the data and each value is for corresponding variable while "-" is
the required (to find)
weights.
I think I will get the idea if someone help with piece of code for one variable
of the example data above above.
I need to fill the columns of weights (now - but actually new
variables) for the variables. Please note that I (may) need to use
Multiple Correspondence Analysis (MCA), MFA, PCA etc but I dont know
exactly.
I would highly appreciate a code if possible from using the two packages above.
I am sorry if this is not that clear. I can guess I will be pardoned being new
old guy here.
Thanks,
Best
Anees
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
