dims = x@Dim, check = FALSE)
but this turns out to be slower than assignment; most of its time is
spent in the logical OR command.
Is there a way to speed this process up substantially? Thanks in
advance for your help.
---
Nathaniel Graham
npgrah...@gmail.com
npgrah...@uky.edu
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PLEA
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Hi R Users,
I commonly import multiple .csv files and then write loops to work with
those files like this:
>setwd('C://Nathaniel/R/allfiles')
>files<-list.files()
>allfiles<-lapply(t1,read.csv)
>for (i in 1:47) {
> t1<-allfiles[[i]]
etc. etc.
I have wri
Hi Dennis,
Thanks for the solution, I really appreciate it!
Best,
Nathaniel
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male adult LP
02 femalesubadult LP
03 male subadult MR
...
Hopefully this all makes sense and someone knows a solution. Thanks in
advance for taking a look at my problem and helping out (I hope!).
Nathaniel
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mn was small, and I couldn't figure
out how to subset the data in that format (I want to keep the 1st, 2nd, 3rd,
and last fix in the example columns below (23:31, 00:31, 01:30, 2:30)):
timediff
23:31 60
00:31 58.78
01:30 1.07
01:31 1.07
01:32 1.07
01:33 1.07
01:
I have 5 columns- Trial.Group, Mean, Standard Deviation, Upper percentile,
Lower percentile.
Trial.Group 41 subjects: 3 to 4 yrs-Male
Mean 444
SD 25
upper 494
lower 393
and all the data is like that.
and i wish to recreate this excel tabl
Hi Tal, Thanks for your help.
I've had a look at the site, and what i wanted to do was to plot X and Y
where X is a characters and Y is numeric. The problem I'm having now is that
the X axis isn't characters but just numbers from 1 onwards and when i plot
it, the data i have is in descending ord
Hi,
This is my first time so bear with me if I do anything silly. I'll learn!
I'm a relatively new user of R as well so will appreciate any help.
I have a data set in the form
Trial.Group MeanHeart Rate Upper confidence level
Lower confidence level
333subj
ctrfn(levels(x), contrasts = contrasts)
> invisible(model.matrix(~ 0 + a)) # dummy coded
>
In fact, I can't find any code anywhere in R that ever uses contrasts=FALSE.
So what's going on? Is this a bug and R *should* be using
contrasts=FALSE to "dummy code" factors?
Confusedl
hrasing somehow helped me figure it out :-). In case anyone
else with the same confusion finds this thread: the point in either
case is that a variable can't be nested in two other variables
separately, so the user must have meant it was nested i
So for my own edification, does anyone know/care to speculate about
why (a + b)/c works this way?
-- Nathaniel
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PLEASE do read the posting guide http://www.R-project.org/pos
ify a model for treatment
and genotype with genotype as random and treatment as fixed and then how
to get the significance for both factors?
Thanks again
Nat Street
PS I use SS and MS for sum of squares and mean squares.
[EMAIL PROTECTED] wrote:
>
> Nathaniel,
>
> If you are
) are different to each other as
well as
if there is an age effect (so to know if underlying genotype is also an
important factor)?
Thanks
Nat Street
--
Nathaniel Street
Umeå Plant Science Centre
Department of Plant Physiology
University of Umeå
SE-901 87 Umeå
SWEDEN
email: [EMAIL PROTECTED]
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