Thanks for these various tips.
Sarah, this is not a howework, but a simplified dataset speecificly for
this question.
Laura
.
2011/11/14 Dennis Murphy
> Groupwise data summarization is a very common task, and it is worth
> learning the various ways to do it in R. Josh showed you one way to
> u
Groupwise data summarization is a very common task, and it is worth
learning the various ways to do it in R. Josh showed you one way to
use aggregate() from the base package and Michael showed you one way
of using the plyr package to do the same; another way would be
ddply(df, .(Patient, Region),
I took a stab at this using ddply() from the plyr package. How's this
look to you?
x<- textConnection("Col Patient Region Score Time
11 X19 28
21 X20 126
31 X22 100
41 X25 191
52 Y121
62 Y
Hi Laura,
You were close. Just use range() instead of min/max:
## your data (read in and then pasted the output of dput() to make it easy)
dat <- structure(list(Patient = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 5L, 5L,
5L, 5L, 5L, 5L, 5L, 6L,
Hi Laura,
This looks suspiciously like homework. Nonetheless, you may wish to
check out ?cbind.
Sarah
On Mon, Nov 14, 2011 at 11:10 AM, B Laura wrote:
> dear R-team
>
> I need to find the min, max values for each patient from dataset and keep
> the output of it as a dataframe with the following
dear R-team
I need to find the min, max values for each patient from dataset and keep
the output of it as a dataframe with the following columns
- Patient nr
- Region (remains same per patient)
- Min score
- Max score
Patient Region Score Time
11 X19 28
21
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