Hi everyone
I have the following problem: My dataframe has 3 variables: ID, Year and
and an outcome variable. The dataframe contains repeated measurements
because the subjects filled out a questionnaire every year. The time span
covers 2 years.
Now I want to check if there is a significant change in the outcome over
the 2 years with a paired wilcox.test. The problem: Not every subject
completed both questionnaires. Thus, some subjects have the outcome only
for year1 and others only for year2.
If I try wilcox.test(Outcome~Year, paired=T), I receive an error "not the
same length".
Is there a fast method to remove those subjects with missing outcomes?
Thanks for any help.
Regards,
Denis Aydin
_____________________________________________
Denis Aydin, MSc
Swiss Tropical and Public Health Institute
Socinstrasse 57, P.O. Box
4002 Basel, Switzerland
T +41 (0)61 270 22 04
F +41 (0)61 270 22 25
@ denis.ay...@unibas.ch
_____________________________________________
Postal address:
Denis Aydin, MSc
Swiss Tropical and Public Health Institute
Socinstrasse 57, P.O. Box
4002 Basel, Switzerland
Visitors address:
Kanonengasse 27
4051 Basel, Switzerland
_____________________________________________
Swiss TPH website: www.swisstph.ch
Former ISPM: www.ispm-unibas.ch
Former STI: www.sti.ch
--------------------------------------------------------------------------
This email and any files transmitted with it are confide...{{dropped:8}}
______________________________________________
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.
