Thank you Peter.
nls() & predict() seems to do the job.
dror
-
On Wed, Dec 30, 2009 at 8:10 PM, Peter Ehlers wrote:
> Sounds like you might want to use nls() to fit the data
> and then use either curve() or predict() to do the
> plotting.
>
> -Peter Ehlers
>
> Dror D Le
Sounds like you might want to use nls() to fit the data
and then use either curve() or predict() to do the
plotting.
-Peter Ehlers
Dror D Lev wrote:
Hi,
I tried to be comprehensive but Jim's comment is indeed in place.
I have data of a practice experiment where people practice a certain moto
Hi,
I tried to be comprehensive but Jim's comment is indeed in place.
I have data of a practice experiment where people practice a certain motor
task and time-to-completion was recorded.
Appropriately, the time measure declines as practice goes on. And, again
appropriately, the relation seems to
Hello,
I have practice data of motor action in the format:
S | Cond. | Time
+-+
01 | c | 1.23
01 | nc| 0.89
02 | c | 2.15
02 | nc| 1.80
.
I want to look at the learning curves graphically.
I will appreciate pointers to relevant functions / pack
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