[R] [External] Printout and saved results

[Richard M. Heiberger]

dstat4 <- function(data) {
  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]
  data.frame(Mean, Std.dev, Min, Max, Obs)
}

## don't round inside a function.
## rounding is for printing, not for calculating.
## use a space after a comma
## use a space on both sides of assignment <-

## I made the result a data.frame to allow $ selection to work.

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(x1, x2, w)

dstat4(mydata)

round(v <- dstat4(mydata), digits=3)

v

v$Mean

round(v$Mean, 3)


> On Mar 25, 2024, at 22:02, Steven Yen <styen using 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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