useRs –
I’m working with the attached data that contains one year’s worth of
sub-daily observations of flow (“Q”) and specific conductance (“SC”, a
surrogate for concentration) at a point in a stream. The R code posted
below shows the extent of data processing thus far. My goal is to create a
covariance matrix that takes on the following form:
Q1 Q2 … Q365 SC1 SC2 … SC365
Q1
Q2
…
Q365
SC1
SC2
...
SC365
Where the covariance between Q1 (flow on day 1) & Q2 (flow on day 2) is
determined using the sub-daily data contained in the variable ‘x’ of the R
code below. Similarly, the covariance between Q1 & SC1 (specific
conductance on day 1) would be made using the sub-daily observations of flow
and specific conductance. Covariance between observations that are more
than 5 days distant from one another are likely meaningless. Thus, the
covariance matrix should reflect this limitation with zeros. For example,
the covariance between Q1 & Q6, or between Q1 & SC6, or between SC359
(specific conductance on day 359) & SC365 (specific conductance on day 365)
would be zero as these observations are more than 5 days apart. Here is the
R code that reads the attached files containing Q and SC and puts the
processed data into ‘x’:
07130500_BelowJM_q_2004.txt
<http://r.789695.n4.nabble.com/file/n4647170/07130500_BelowJM_q_2004.txt>
07130500_BelowJM_2004.txt
<http://r.789695.n4.nabble.com/file/n4647170/07130500_BelowJM_2004.txt>
library(xts)
Q_subDaily<-read.table("C:/temp/07130500_BelowJM_q_2004.rdb",col.names=c('date','time','tz','Q','rating','unknown'),colClasses=c("character","character","character","numeric","character","character"))
SC_subDaily<-read.table("C:/temp/07130500_BelowJM_2004.rdb",col.names=c('date','time','tz','SC','rating','unknown'),colClasses=c("character","character","character","numeric","character","character"))
Q_subDaily$datetime.str <- paste(Q_subDaily$date, Q_subDaily$time)
SC_subDaily$datetime.str <- paste(SC_subDaily$date, SC_subDaily$time)
fmt <- "%Y%m%d %H%M%S"
xQ <- xts(as.matrix(Q_subDaily["Q"]), as.POSIXct(Q_subDaily$datetime.str,
format=fmt))
xSC <- xts(as.matrix(SC_subDaily["SC"]),
as.POSIXct(SC_subDaily$datetime.str, format=fmt))
x <- merge(xQ,xSC)
And here’s where I’m stuck, I’m not sure how to create the covariance matrix
I’ve described above? I would appreciate and greatly benefit from the sort
of help often found in the useR community.
--
View this message in context:
http://r.789695.n4.nabble.com/Filling-a-covariance-matrix-tp4647170.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
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.
