='green', lwd=2)
>
> # or fit a loess curve
> # had to play with span to make it look ok
> model <- loess(y~x, foo, span=1/2)
> x <- seq(1, 115, length.out=30)
> bar <- predict(model, newdata=data.frame(x=x, y=NA))
> lines(x, bar, col='blue', lwd=
(one?) would love to have is a simple (standard) output that
tells you the filename and the line-number that produced an
error/warning. I find it hard to belief that this does not exist, and
would be most grateful for any suggestions.
jan
--
Dr. Jan M. Wiener
Centre for Cognitive Science
University
hello,
sorry for posting what may be a simple question:
i do have a matrix of coordinates (positional judgments, see below) and
now want to calculate and plot the corresponding error ellipse.
can anyone help me with the exact steps/syntax?
> xyDat
X Y
1-0.49-2.13
2
3
2 0.91 0.48
3 0.20-2.80
4-0.76-3.23
5-0.36 2.50
6 1.38 1.24
7-1.73-2.14
8-0.28-1.97
9-2.65 0.91
10-2.03 0.92
11 0.40-1.54
12-1.40 2.39
thank you very much in advance.
best jan
--
Dr. Jan M. Wiener
LPPA - Coll
would be greatly appreciated.
Best,
Jan
bbolker wrote:
>
> Jan M. Wiener wrote:
>
>> hello,
>> sorry for posting what may be a simple question:
>> i do have a matrix of coordinates (positional judgments, see below) and
>> now want to calculate and plot the co
values in columns 1 are also
between 1 and 6 (as in mat1). Of, course the values in column 2 should
be rescaled accordingly (simple interpolation).
Are there any predefined functions in R that does such rescaling?
Thanks for any answers,
Jan
--
Dr. Jan M. Wiener
LPPA - Collège de France - CNRS
Hello,
I do have a question regarding resampling of data (matrices). Imagine
having 2 data sets, organized in a matrix with two columns, the first
column being, eg, traveled distance, the second column being some
dependent variable. I now have 2 data sets from two subjects covering
the same distanc
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