Not clear what you mean by "saved".
If you call a function and the result is printed, the result is
remembered for a wee while in
the variable .Last.value, so you can do
> function.with.interesting.result(.......)
> retained.interesting.result <- .Last.value
or even
> .Last.value -> retained.interesting.result

If you know before you start writing the expression that you want to
save the value,
you can wrap the assignment in parentheses, making it an expression:

> (retained.interesting.result <- function.with.interesting.result(......))


On Tue, 26 Mar 2024 at 15:03, Steven Yen <st...@ntu.edu.tw> wrote:
>
> How can I have both printout and saved results at the same time.
>
> The subroutine first return "out" and the printout gets printed, but not
> saved.
>
> I then run the "invisible" line. Results got saved and accessible but no
> printout.
>
> How can I have both printout and also have the results saved? Thank you!
>
>  > dstat4 <- function(data,digits=3){
> +   Mean    <- apply(data,2,mean,na.rm=TRUE)
> +   Std.dev <- apply(data,2,sd,  na.rm=TRUE)
> +   Min <- apply(data,2,min,na.rm=TRUE)
> +   Max <- apply(data,2,max,na.rm=TRUE)
> +   Obs <- dim(data)[1]
> +   out <-round(cbind(Mean,Std.dev,Min,Max,Obs),digits)
> +   out
> + # invisible(list(Mean=Mean,Std.dev=Std.dev,Min=Min,Max=Max))
> + }
>  > x1<-rnorm(n=5,mean=5, sd=1)
>  > x2<-rnorm(n=5,mean=10,sd=2)
>  > w<-rnorm(n=5,mean=2,sd=0.3)
>  > mydata<-data.frame(cbind(x1,x2))
>  > v<-dstat4(mydata); v
>       Mean Std.dev   Min    Max Obs
> x1  5.000   0.922 3.900  6.282   5
> x2 10.769   1.713 9.209 13.346   5
>  > v$Mean
> Error in v$Mean : $ operator is invalid for atomic vectors
>  > dstat4 <- function(data,digits=3){
> +   Mean    <- apply(data,2,mean,na.rm=TRUE)
> +   Std.dev <- apply(data,2,sd,  na.rm=TRUE)
> +   Min <- apply(data,2,min,na.rm=TRUE)
> +   Max <- apply(data,2,max,na.rm=TRUE)
> +   Obs <- dim(data)[1]
> +   out <-round(cbind(Mean,Std.dev,Min,Max,Obs),digits)
> + # out
> +   invisible(list(Mean=Mean,Std.dev=Std.dev,Min=Min,Max=Max))
> + }
>
>  > v<-dstat4(mydata)
>  > v$Mean
>        x1       x2
> 4.233051 9.564454
>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.

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