[R] Working With Variables Having Different Lengths

[B77S]

I know in my experience "Cond" (conductivity??) doesn't vary much within a
stream except for during high flow events, and I would imagine the same is
true for TDS.  If these are all low flow values, you could possibly
determine a mean/median value to use for the missing data points.  Obviously
this is going to be different if you are sampling storm events.  If you have
stage data and lots of data points, you may be able to model the parameters
as a function of stage. 
HTH




Rich Shepard wrote:
> 
> Because of regulatory requirement changes over several decades and weather
> conditions preventing site access the variables in my data set have
> different lengths. I'd like guidance on how to perform linear regressions
> and other models with these variables.
> 
>    For example, there are 2206 rows for the parameter "TDS" but only 1191
> rows for the parameter "Cond." Such discrepancies are common in these
> data.
> 
>    Is there a reference I can read to learn how to analyze such data?
> 
> Rich
> 
> ______________________________________________
> R-help@ 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.
> 


--
View this message in context: http://r.789695.n4.nabble.com/Working-With-Variables-Having-Different-Lengths-tp3926023p3926158.html
Sent from the R help mailing list archive at Nabble.com.