ne I don't need an example for the use of a data argument each
time I look in help.
best,
Heinz
Fox, John wrote/hat geschrieben on/am 17.12.2018 16:23:
Dear Heinz,
--
On Dec 17, 2018, at 10:19 AM, Heinz Tuechler wrote:
Dear All,
do you thin
Dear All,
do you think that use of a data argument is best practice in the example
below?
regards,
Heinz
### trivial example
plotwithline <- function(x, y) {
plot(x, y)
abline(lm(y~x)) ## data argument?
}
set.seed(25)
df0 <- data.frame(x=rnorm(20), y=rnorm(20))
plotwithline(df0[['x
To me this is a common situation, especially to switch between two
languages. I solve it by separating the coding of values and their
labels. Values are coded numerically or as character, and their
labels are attached by a value.label attribute. When needed a
modified factor function transforms
Also Surv objects are matrices and they share the same problem when
rbind-ing data.frames.
If contained in a data.frame, Surv objects loose their class after
rbind and therefore do not more represent Surv objects afterwards.
Using rbind with Surv objects outside of data.frames shows a similar
pr
ions,
i.e. parts of an object should stay in this
object-related attribute and be extracted on
subsetting. Since subsetting an object leads to a
new object, this could then have its own, new persisting attribute.
The more difficult part may to be the binding of objects.
Heinz
-Or
At 10:01 09.07.2009, SIES 73 wrote:
I've also had several use cases where I needed
"cell-like" attributes, that is, attributes that
have the same dimensions as the original array
and are subsetted in the same way --along all its dimensions.
So we're talking about a way to add metadata to
mat
At 17:25 27.03.2007 +0200, Martin Maechler wrote:
>> "Herve" == Herve Pages <[EMAIL PROTECTED]>
>> on Mon, 26 Mar 2007 20:48:33 -0700 writes:
>
>Herve> Hi,
>>> dd <- data.frame(A=c("b","c","a"), B=3:1) dd
>Herve> A B 1 b 3 2 c 2 3 a 1
>>> unlist(dd)
>Herve> A1 A2 A
Dear Developers,
after several discussions on r-help I got the impression that the
"standard" R distribution, including the recommended packages, does not
offer much to document raw data, imported into R.
Hmisc has some functionality in this respect, and others like Richard
Heiberger solved some o
