Dear R Users, Beginners and Experts,
I want to fit to my data an exponential function with following functional form:
y=exp(a*x)
I used the function "nls" but this gives me exponential fits with
following functional form:
y=l*exp(a*x)
With "l" being an scaling factor. What do I need to change in
Hi Duncan,
Thanks for your reply. You saved my Day :)
Thanks,
Henri
On Thu, Oct 6, 2011 at 12:07 PM, Duncan Murdoch
wrote:
> On 11-10-06 4:59 AM, Henri Mone wrote:
>>
>> Dear R users and experts,
>>
>> I want to fit a shifted parabolic function with the followi
Dear R users and experts,
I want to fit a shifted parabolic function with the following
functional form to my data:
f(x)=a0*(x+a1)^2+a2
(a0, a1 and a2 are scaling factors.)
What is standard approach to do this in R? I tried the "lm" function
in R but I got problems getting the above functional f
Dear R users and experts,
I need to modify an exisiting R function from a package. The function/
variable is inside a namespace and I have problems accessing it.
I only need to get access to to corresponding sourcecode. I localised
the "RDX" and "RDB" files. But it seems to be a binary format.
How
, Jul 17, 2011 at 3:46 PM, Henri Mone wrote:
>> Dear R Beginners, Experts and Users,
>>
>> I already asked this question on the R-sig-DB mailing list, but sadly
>> didn't got a reply :-( .
>> Keeping fingers crossed that I have more luck on the main R mailinglist
Dear R Beginners, Experts and Users,
I already asked this question on the R-sig-DB mailing list, but sadly
didn't got a reply :-( .
Keeping fingers crossed that I have more luck on the main R mailinglist :) .
I'm trying to connect to a MySQl database via Gnu R using the RODBC
interface. The conen
Dear All,
Thank you to all of you for your fast reply. I will run the test and
subscribe to the R-sig-db list.
Cheers,
Henri
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R
Dear R Users,
I use for my data crunching a combination of MySQL and GNU R. I have
to handle huge/ middle seized data which is stored in a MySql
database, R executes a SQL command to fetch the data and does the
plotting with the build in R plotting functions.
The (low level) calculations like sum
Dear R experts, beginners and everyone else,
I'm calculating "cumulative periodogram" using the command "cpgram"
[1] from the MASS library. Here is a short example with the "lh"
(hormone level) dataset:
library(MASS)
plot(lh,type="l",ylab="value",xlab="time", main="Hormone Levels (lh)")
spe
9 matches
Mail list logo