Description Usage Arguments Format Value Author(s) Examples
This selfStart model evaluates the 4 parameters logistic
regression model and its gradient. It has an initial
attribute that will evaluate initial estimates of the parameters
hAsym
, lAsym
, Slope
and xMid
for a given set of data
Instead of the standard exp
function this implementation use
the 10^
function.
f(x)=lAsym +\frac{hAsym-lAsym}{1+10^{Slope(x-xMid)}}
1 | SSl4(x, Slope, lAsym, hAsym, xMid)
|
x |
a numeric vector of values at which to evaluate the model |
Slope |
a numeric parameter representing the |
lAsym |
a numeric parameter representing the lower asymptote when
|
hAsym |
a numeric parameter representing the higher asymptote when
|
xMid |
is the x value corresponding to the inflection point |
A selfStart model
The value returned is a list containing the nonlinear function, the self starter function and the parameter names.
John Aponte <john.aponte@cresib.cat>
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # Load data
data(ecdata)
data(mfidata)
# Select analyte FGF for plate 1
dat <- mfidata[mfidata$plate=="plate_1" & mfidata$analyte=="FGF",]
sdf <- data_selection(dat, ecdata)[[1]]
ig <- scluminex("plate_1",sdf$standard, sdf$background,
lfct="SSl4",
bkg="ignore",
fmfi="mfi",
verbose=FALSE)
summary(ig)
|
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