Perhaps what you want is get().
apple <- rnorm(5)
orange <- runif(5)
fruits <- c("apple", "orange")
fruit.data <- NULL
for( fruit in fruits ){
v <- get(fruit)
fruit.data <- cbind(fruit.data, v)
}
colnames(fruit.data) <- fruits
fruit.data
Here the resulting output is a matrix which works if all of your inputs
have the same length. If they don't, then you probably want to use a
list instead. Also have a look at assign().
Regards, Adai
K. Fleischer wrote:> Hello everyone,
>
> I have the following problem:
>
> My analysis includes many predictor variables (>50) in the form of
> raster maps (asc), but I am trying to avoid having to type all their
> names over and over again in the analysis (e.g. for vectorisation, for
> deletion of NA's, etc.)
>
> So ideally I would like to store them in some way that their names
> only have to be typed once and can always be referred back to.
>
> First step would be to automate the vectorisation of the raster maps:
>
> # these are the raster maps which need to combined somehow ??
> variables <- (temperature, precipitation, elevation, vegcover)
>
> VariablesNew=c()
>
> For (i in 1:length(variables)) {
> Varnew <- as.vector(variables[i])
> VariablesNew <- cbind(VariablesNew, Varnew)
> }
>
> This should return a data frame called VariablesNew with each column
> representing one of the variables.
>
> So the BIG QUESTION is how to input the variable names that they can
> be referred to easily and, the variable itself can be pulled out and
> not just its name!!
> I believe this cant be too difficult??
>
> Thanx in advance,
> Katrin
>
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