This seems to work. A couple of fine points, including handling duplicated Pct
values right, which is easier if you do the reversed cumsum.
> dd2 <- dummydata[order(dummydata$Pct),]
> dd2$Cum <- rev(cumsum(rev(dd2$Totpop)))
> use <- !duplicated(dd2$Pct)
> approx(dd2$Pct[use], dd2$Cum[use], ctof,
Hello,
I have a data frame with different groups (Time, Target, Conc) and
each entry has a triplicate value of the measurements OD and ODnorm.
How can I merge the triplicates into a single mean value?
I tried the following:
```
df = data.frame(Time=rep(1, 9), Well=paste("A", 1:9, sep=""),
Hi,
I think you're misunderstanding which set of variables go on either
side of the formula.
Is this what you're looking for?
> aggregate(OD ~ Time + Target + Conc, data = df, FUN = "mean")
Time Target Conc OD
11 BACT1 765.
21 BACT2 745.
31 BACT3 675
Thank you, the last is exactly what I was looking for.
On Tue, Oct 24, 2023 at 2:41 PM Sarah Goslee wrote:
>
> Hi,
>
> I think you're misunderstanding which set of variables go on either
> side of the formula.
>
> Is this what you're looking for?
>
> > aggregate(OD ~ Time + Target + Conc, data =
Also,
> aggregate(cbind(OD, ODnorm) ~ Time + Target + Conc, data = df, FUN = "mean")
Time Target Conc ODODnorm
11 BACT1 765. 108.3
21 BACT2 745. 88.3
31 BACT3 675. 18.0
(You might wish for "cbind(OD,ODnorm) ~ . - Well", but aggre
Thank you
On Tue, Oct 24, 2023 at 3:01 PM peter dalgaard wrote:
>
> Also,
>
> > aggregate(cbind(OD, ODnorm) ~ Time + Target + Conc, data = df, FUN = "mean")
> Time Target Conc ODODnorm
> 11 BACT1 765. 108.3
> 21 BACT2 745. 88.3
> 31 BACT3
Às 20:12 de 23/10/2023, varin sacha via R-help escreveu:
Dear R-experts,
I really thank you all a lot for your responses. So, here is the error (and
warning) messages at the end of my R code.
Many thanks for your help.
Error in UseMethod("predict") :
no applicable method for 'predict' app
A variation is to remove Well and then we can use dot to refer to the
remaining columns.
aggregate(cbind(OD, ODnorm) ~ . , subset(df, select = - Well), mean)
On Tue, Oct 24, 2023 at 8:32 AM Luigi Marongiu wrote:
>
> Hello,
> I have a data frame with different groups (Time, Target, Conc) and
Dear Rui,
I really thank you a lot for your response and your R code.
Best,
Sacha
Le mardi 24 octobre 2023 à 16:37:56 UTC+2, Rui Barradas
a écrit :
Às 20:12 de 23/10/2023, varin sacha via R-help escreveu:
> Dear R-experts,
>
> I really thank you all a lot for your responses. So, here
Colleagues,
I have written an R function (see fully annotated code below), with which I
want to process a dataframe within levels of the variable StepType. My program
works, it processes the data within levels of StepType, but the usual headers
that separate the output by levels of StepType are
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