Displaying 4 results from an estimated 4 matches for "evilamarant7x".
2010 Oct 11
2
Nonlinear Regression Parameter Shared Across Multiple Data Sets
I'm working with 3 different data sets and applying this non-linear
regression formula to each of them.
nls(Y ~ (upper)/(1+10^(X-LOGEC50)), data=std_no_outliers,
start=list(upper=max(std_no_outliers$Y),LOGEC50=-8.5))
Previously, all of the regressions were calculated in Prism, but I'd like to
be able to automate the calculation process in a script, which is why I'm
trying to move to
2010 Oct 15
0
nomianl response model
...mal, self-contained, reproducible code.
> >
>
>
>
--
Matthew S. Shotwell
Graduate Student
Division of Biostatistics and Epidemiology
Medical University of South Carolina
------------------------------
Message: 90
Date: Wed, 13 Oct 2010 15:14:24 -0400
From: Jared Blashka <evilamarant7x at gmail.com>
To: r-help at r-project.org
Subject: Re: [R] Nonlinear Regression Parameter Shared Across Multiple
Data Sets
Message-ID:
<AANLkTik0LhLW7EV4W2pmeO8zQdEyRmovbn7Lqm-zm9Oq at mail.gmail.com>
Content-Type: text/plain
As an addendum to my question, I'm attempting to apply th...
2010 Oct 12
1
Displaying a variable as an expression into a plot label, but the variable has brackets
I'm attempting to insert variables as expressions into labels for my plots,
but I'm running into the issue that characters in my labels aren't allowed
in expressions, notably '[' and ']'. An input string of "[^3H]5-CT" needs to
be displayed as [3H]5-CT with the 3 as superscript. But brackets aren't
particularly liked in expressions. I know I can do
2010 Dec 13
2
Complicated nls formula giving singular gradient message
I'm attempting to calculate a regression in R that I normally use Prism for,
because the formula isn't pretty by any means.
Prism presents the formula (which is in the Prism equation library as
Heterologous competition with depletion, if anyone is curious) in these
segments:
KdCPM = KdnM*SpAct*Vol*1000
R=NS+1
S=(1+10^(X-LogKi))*KdCPM+Hot
a=-1*R
b=R*S+NS*Hot+BMax
c = -1*Hot*(S*MS+BMax)
Y