Displaying 20 results from an estimated 50 matches for "sigmoid".
2006 Jun 19
2
frechet distance
Hi, is there any package (or source code snippet) that will evaluate the
Frechet distance for curves represented as sets of points?
Searching around only threw up references to a Frechet distribution.
Thanks,
-------------------------------------------------------------------
Rajarshi Guha <rxg218 at psu.edu> <http://jijo.cjb.net>
GPG Fingerprint: 0CCA 8EE2 2EEB 25E2 AB04 06F7 1BB9
2008 Nov 12
3
Fitting data to a sigmoidal curve
...rious populations at
different dates, and using the size and date collected, I want to figure out
the growth curve of each population. My question is: How do I fit my data to
a Gompertz function in R?
Thank you so much!
Sarah
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2007 Mar 16
0
help on sigmoid curve fitting
Hi list,
I was wondering how I should go about fitting a sigmoid curve to a dataset. More specifically how I estimate parameters a and b in the following equation:
1 / 1+exp(-(x-a)*b)
with b the steepness of the sigmoid curve and a the shift of the center of the sigmoid curve relative to the center of your dataframe. The fit is in function of x, the location...
2004 Dec 01
1
tuning SVM's
....model <- svm(similarity ~., data = training, kernel = "radial",
cost = 1, gamma = 0.04545455, epsilon = 0.1)
> pred=predict(svm.model, testing)
> pred[pred > .5] = 1
> pred[pred <= .5] = 0
> table(testing$similarity, pred)
pred
0 1
0 27 11
1 64 69
SIGMOID:
> obj = best.tune(svm, similarity ~., data = training, kernel =
"sigmoid")
> summary(obj)
Call:
best.tune(svm, similarity ~ ., data = training, kernel = "sigmoid")
Parameters:
SVM-Type: eps-regression
SVM-Kernel: sigmoid
cost: 1
gamma: 0.04...
2007 Mar 03
2
Sigmoidal fitting
I am trying to write a function that fits a sigmoid given a X and Y vector guessing the start parameters.
I use nls. What I did (enclosed) seems to work well with many data points but if I want to fit small
vectors like :
pressure <- c(5,15,9,35,45)
gas <- c(1000,2000,3000,4000,5000)
it do not work. The help page says that it do no not work...
2009 Jun 17
0
nls with weights
Hi there,
I don't have much experience with fitting at all and I'd like to get
some advice how to use the "weights"-argument with nls correctly.
I have created some data with a sigmoidal curve shape. Each y-Value was
generated by the mean of three values. A standard deviation was
calculated too.
Now, I'd like to weight the data points respective to its standard
deviation. If this is very high, the datapoint should be considered less
important than a datapoint with a low...
2010 Feb 17
0
Help with sigmoidal quasi-poisson regression using glm and gnm functions
Hi everyone,
I'm trying to perform the following regressions in order to compare linear
vs. sigmoidal fit of the relationship between my dependent variable (y) and
one explaining parameter (x2), both including the confounding effects of a
third variable (x1):
quasi-pois-lin <- glm(y ~ x1 + x2, family = quasipoisson(link="identity"),
data=fit)
quasi-pois-sig <- gnm(y ~ x1 + Mult(1...
2005 Apr 11
1
glm family=binomial logistic sigmoid curve problem
I'm trying to plot an extrapolated logistic sigmoid curve using
glm(..., family=binomial) as follows, but neither the fitted()
points or the predict()ed curve are plotting correctly:
> year <- c(2003+(6/12), 2004+(2/12), 2004+(10/12), 2005+(4/12))
> percent <- c(0.31, 0.43, 0.47, 0.50)
> plot(year, percent, xlim=c(2003, 2007), yli...
2003 Sep 30
2
non-linear trends in kriging model
Hi
I am struggling to fit a non-linear trend using the
likfit function in geoR.
Specifically I want a sigmoidal function, something
like SSfpl in the nls package to fit the trend. But
it seems trend.spatial in geoR only works with lm or
glm type models.
Any ideas how I can specify the model to calculate the
kriging parameters using REML, including the
parameters of a sigmoidal trend function (such as
SSf...
2011 Aug 17
1
Interpreting parameters of sigmoid fct
Dear list,
I'm trying to fit a chapman-richards equation to my data, only I
cannot interpret the parameters a, b and d. I know that the parameter
b denotes the asymptote, but for the others I couldn't figure out. But
I do need to know this in order to set my starting values. Here's the
model:
modPoplar<- nls(Diameter ~ d*(1-exp(-b *Age))^a ,start=list(a=20,b=0.9,d=33))
I attached
2008 Aug 21
5
psychometric functions
Hi,
I want to fit some psychophysical data with cumulative gaussians. There is
quite a convenient toolbox for matlab called 'psignifit' (formerly known as
'psychofit'). It allows the lower bound of the sigmoid to vary slightly from
zero, aswell as the upper bound to vary from one. with these two free
parameters, the fitted function is less sensitive to noisy data and
outliers.
Apart from advertising this toolbox I want to ask for possibilities in R to
fit psychometric functions, as I would rather use R t...
2009 Jun 21
2
Help on qpcR package
...lowing object(s) are masked from package:plotrix :
plotCI
The following object(s) are masked from package:stats :
lowess
'qpcR' has been loaded.
Please cite R and the following if used for a publication:
Spiess AN, Feig C, Ritz
Highly accurate sigmoidal fitting of real-time PCR data by introducing
a parameter for asymmetry.
BMC Bioinformatics 2008, 29:221
or
Ritz C, Spiess AN. qpcR: an R package for sigmoidal model selection in
quantitative real-time polymerase chain reaction analysis.
Bioinformatics 2008, 24:1549-1551
Newest vers...
2009 Apr 26
1
Stochastic Gradient Ascent for logistic regression
...;-
read.table("http://www.biostat.jhsph.edu/~ririzarr/Teaching/754/lbw.dat"
, header=TRUE)
attach(lbw)
lbw[1:2,]
low age lwt race smoke ptl ht ui ftv bwt
1 0 19 182 2 0 0 0 1 0 2523
2 0 33 155 3 0 0 0 0 3 2551
#-----R implementation of logistic regression : gradient descent ------
sigmoid<-function(z)
{
1/(1 + exp(-1*z))
}
X<-cbind(age,lwt, smoke, ht, ui)
#y<-low
my_logistic<-function(X,y)
{
alpha <- 0.005
n<-5
m<-189
max_iters <- 189 #number of obs
ll<-0
X<-cbind(1,X)
theta <-rep(0,6) # intercept and 5 regerssors
#theta <- c(1.39, -0...
2018 Apr 18
2
Event-triggered change in value with a time-delay
...the parameter change?
3. Lagvalue. This might take care of the time lag component, but I am still
struggling to understand (1) how lagvalue works and (2) how to integrate
both the threshold and timer components.
if ( D < D_T )
m<- ifelse(lagvalue(t-delay)<=0, 6.8, 10)
end
4. Sigmoidal function. Someone suggested this to me earlier, but I am not
sure how this would work. Is it possible to have a sigmoidal function that
switches repeatedly between two states (as opposed to the characteristic S
curve that transitions once from one state to another)?
5. Mathmematica has a WhenEve...
2009 Mar 11
4
R-help: grep in for loop using index - doesn't work
Hi everyone
I am trying to use grep in a for loop to compare a string value. It works
if I use
the actual index value but when I use the for loop index, it doesn't work.
Any suggestions plz.
Here is the code:
data <- read.table(file="Sigmoid.csv", head=FALSE, sep=",");
c1 <- data$V1
c2 <- data$V2
c3 <- data$V3
c1data <- data.frame(c1);
c2data <- data.frame(c2);
c3data <- data.frame(c3);
#this works
p <- grep("QueryItem",c1data["147",],value=FALSE,fixed=FALSE)
print(p) # print 1...
2011 May 19
2
recursive function
...tb/partc)
erf <- sqrt(1-exp(parta))
erf
}
# cumulative density function
cdf<- 1/2*(1+erf(x/sqrt(2)))
cdf
}
The erf(x) produces positive values whatever the sign of x. Instead of
obtaining the expected sigmoid shape of the erf() I end up with a
positive values V shape. erf(x) should be negative for negative values
of x. I figure I need some form of conditional statement in the above
code but all my attempts at using "if" and "for" failed miserably.
Clearly, I don't understand ho...
2018 Apr 18
0
Event-triggered change in value with a time-delay
...This might take care of the time lag component, but I am still
> struggling to understand (1) how lagvalue works and (2) how to integrate
> both the threshold and timer components.
>
> if ( D < D_T )
> m<- ifelse(lagvalue(t-delay)<=0, 6.8, 10)
> end
>
> 4. Sigmoidal function. Someone suggested this to me earlier, but I am not
> sure how this would work. Is it possible to have a sigmoidal function that
> switches repeatedly between two states (as opposed to the characteristic S
> curve that transitions once from one state to another)?
>
> 5. M...
2003 Apr 23
1
nls: Missing value or an Infinity produced when evaluating the model
Hi,
I am trying to fit a sigmoid curve to some data with nls but I am getting
into some trouble.
Seems that the optimization method is getting down to some parameter
estimates that make the equation unsolvable. This is an example:
>growth<-data.frame(Time=c(5,7,9,11,13,15,17,19,21,23,25,27),BodyMass=c(45,85,125,210,300,48...
2007 Mar 22
1
non-linear curve fitting
Hi list,
I have a little curve fitting problem.
I would like to fit a sigmoid curve to my data using the following equation:
f(x) = 1/(1 + exp(-(x-c)*b)) (or any other form for that matter)
Where x is the distance/location within the dataframe, c is the shift of the curve across the dataframe and b is the steepness of the curve.
I've been playing with glm() and glm...
2007 Nov 14
0
Help about nnet library
...f the hidden layer we have the weights as
follows :
b(which is I suppose the input set to one)->h1=w0
i1->h1=w1
i2->h1=w2
i3->h1=w3
i4->h1=w4
So first we make this computation :
sum=w0 + i1*w1 + i2*w2 + i3*w3 + i4*w4 (the transfert function)
And for computing h1 we use the classic sigmoid function :
h1=1/(1+exp(-sum)).
And for calculating the output we have those weights :
b->o=wo0
i1->o=wo1
i2->o=wo2
i3->o=wo3
i4->o=wo4
h1->o=wo5
h2->o=wo6
h3->o=wo7
h4->o=wo8
h5->o=wo9
And the ouput is computed as follows :
o=wo0+wo1*i1+wo2*i2+wo3*i3+wo4*i4+wo5*h1+...