[R] help on matrix column removal based on another matrix results

[Rui Barradas]

Hello,

Try

Vsim[] <- Vsim[NSErr > 0.6, ]


Hope this helps,

Rui Barradas
Em 19-11-2012 14:30, iembry escreveu:
> Hi everyone, now I am trying to finish writing the code (I had asked for
> assistance on subtracting arrays)
>
> This is what I what I am running in R:
>> source("/home/ie/Documents/TTU/GA_Research/GLUE/R-Project/R_GLUE_Example/NSEr.R")
> NSEr <- function (obs, sim)
> {
> {jjh <- (as.vector(obs) - sim)^2
> Xjjhs <- apply(Xjjh, 2, sum)
> Yii <- (obs - mean(obs))^2
> Yiis <- apply(Yii, 2, sum)
> NSEr <- 1 - (Xjjhs/Yiis)
> }
> NSEr}
>
>> Vsim <- read.csv("1000Samples_Vsim.csv", header = TRUE, sep =",")
>> Vsim <- as.matrix(Vsim[,-1]) # remove column 1 from analysis
>> Vobs <- read.csv("Observed_Flow.csv", header = TRUE, sep =",")
>> Vobs <- as.matrix(Vobs[,-1]) # remove column 1 from analysis
>> NSEr <- NSEr(Vobs,Vsim);
>> write.table(NSEr, "NSEr.csv", sep =",")
>> NSErr <- t(matrix(NSEr))
>> ## select the behavioural simulations and discard the rest
>> Vsim <- Vsim[NSErr > 0.6]
>> write.table(Vsim, "Vsim.csv", sep =",")
> **Vsim becomes numeric[42016] rather than a double matrix of 101x416.
>
> What is the proper way to remove the columns in Vsim where the NSEr for that
> column is less than 0.6? I am trying to make Vsim a double matrix of
> 101x416.
>
> Thank-you again.
>
>
>
> Below is the rest of the code in R:
>> ## normalise Qsim and compute the quantiles
>> NSEr <- NSEr[NSEr > 0.6]
>> write.table(NSEr, "NSEr_great_0.6.csv", sep =",")
>> NSEr <- NSEr - 0.6
>> write.table(NSEr, "NSEr_minus0.6.csv", sep =",")
>> NSEr <- NSEr/sum(NSEr)
>> write.table(NSEr, "NSEr_normalized.csv", sep =",")
>> #NSEr = sum(NSEr)
>> limits <- apply(Vsim, 1, "wtd.quantile", weights = NSEr, probs =
>> c(0.05,0.95), normwt=F)
>
>
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