Oh, I got it! I was sending the fluorescence instead of the cycles x.
Thank you
```
desmos <- rutledge(list(half_fluorescence = 27.1102, slope = 2.76798,
max_fluorescence = 11839.8, back_fluorescence
= -138.864) , 1:45)
```
On Wed, Mar 17, 2021 at 8:58 PM Duncan Murdoch
On 17/03/2021 12:37 p.m., Luigi Marongiu wrote:
sorry, I don't get it...
Modify your rutledge function to print x, and you'll see the values of
high printed. x should be 1:45.
Duncan Murdoch
On Wed, Mar 17, 2021 at 2:35 PM Duncan Murdoch wrote:
On 17/03/2021 6:59 a.m., Luigi Marongiu
sorry, I don't get it...
On Wed, Mar 17, 2021 at 2:35 PM Duncan Murdoch wrote:
>
> On 17/03/2021 6:59 a.m., Luigi Marongiu wrote:
> > yes, but in `rutledge` I model y as `y = (M / ( 1 + exp(-(x-m)/s)) ) +
> > B`, with x being 1:45. Isn't that the equivalent of what I fed Desmos
> > with? Tx
>
>
On 17/03/2021 6:59 a.m., Luigi Marongiu wrote:
yes, but in `rutledge` I model y as `y = (M / ( 1 + exp(-(x-m)/s)) ) +
B`, with x being 1:45. Isn't that the equivalent of what I fed Desmos
with? Tx
No, it's not.
Duncan Murdoch
On Wed, Mar 17, 2021 at 11:31 AM Duncan Murdoch
wrote:
On
yes, but in `rutledge` I model y as `y = (M / ( 1 + exp(-(x-m)/s)) ) +
B`, with x being 1:45. Isn't that the equivalent of what I fed Desmos
with? Tx
On Wed, Mar 17, 2021 at 11:31 AM Duncan Murdoch
wrote:
>
> On 17/03/2021 5:41 a.m., Luigi Marongiu wrote:
> > Hello,
> > I have a dataset from a
On 17/03/2021 5:41 a.m., Luigi Marongiu wrote:
Hello,
I have a dataset from a polymerase chain reaction. I am using the
equation given by Rutledge
(https://pubmed.ncbi.nlm.nih.gov/15601990/) but the profile I get in R
does not match the data. I ran the same thing in Desmos and instead
the
Hello,
I have a dataset from a polymerase chain reaction. I am using the
equation given by Rutledge
(https://pubmed.ncbi.nlm.nih.gov/15601990/) but the profile I get in R
does not match the data. I ran the same thing in Desmos and instead
the profile is correct (attached).
Why do I not get the
https://cran.r-project.org/web/packages/tsintermittent/tsintermittent.pdf
Best,
--
GG
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Dear All,
I am struggling to develop a model to forecast the daily expenses from
a bank account.
The daily time series consists (obviously) of non-negative numbers
which can be zero in the days when no money is taken from the bank
account.
To give you an idea of the kind of series I am dealing
Hi,
I am a beginner with statistics and R and have no clue on how to model my
data. I have collected information on seed traps (ID) that includes the
habitat type (Hab) and different measures of distances. Also I have applied
a modularity analysis, so that the seeds traps are grouped into
re
> Sent: Tuesday, September 08, 2015 11:01 AM
> To: r-help@r-project.org
> Subject: [R] Modelling categorical variables
>
> Hi,
>
> I am a beginner with statistics and R and have no clue on how to model
> my data. I have collected information on seed traps (ID) that
Hi,
I have to do some Radon modelling and I have categorical and non
categorical datasets. I have been considering Artificial Neural Networks to
do this. I was wondering has anybody done anything like this before and
have you any advice before I start and where there might be some good
tutorials
On Wed, 29 May 2013, Shane Carey wrote:
I have to do some Radon modelling and I have categorical and non
categorical datasets. I have been considering Artificial Neural Networks
to do this. I was wondering has anybody done anything like this before and
have you any advice before I start and
This is hopeless, since you never seem to listen to our advice,
therefore this will be my very last try:
So you actually need local advice, both for statistical concepts and R
related. No statistics software can estimate effects of variables that
you observed to be constant (e.g. 0) all the
: [R] modelling and R misconceptions; was: package installtion
This is hopeless [That's a matter of perception-even concentration camp
prisoners
found a way to hope (see Viktor Frankl)], since you never [never is a strong
word
and many times leads to cognitive errors] seem to listen to our
advice
I'm dealing with count data that's nested and has spatial dependence.
I ran a glmm in lmer with a random factor for nestedness. Spatial dependence
seems to have been accommodated by model. However I can't add a variance
strcuture to this model (to accommodate heterogeneity).
Is there a model that
Karen Moore kmoore at tcd.ie writes:
I'm dealing with count data that's nested and has spatial dependence.
I ran a glmm in lmer with a random factor for nestedness. Spatial dependence
seems to have been accommodated by model. However I can't add a variance
strcuture to this model (to
1-Would informing the algorithm coxph which samples represents the same
person (through the use of an Id for example) improve the ?efficiency?
of the estimated model? And if so, how should i do that? Using strata()?
No, it makes no change. The reason is that the (start, stop] is just a
trick.
Hi all,
I am looking at the tutorial/appendix from John Fox on “Cox
Proportional-Hazards Regression for Survival Data” available here:
http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-cox-regression.pdf
I am particularly interested in modelling survival with time-dependent
Dear all,
I would like to hear from anyone who has experience using R to simulate and
visualise the formation and growth of crystals.
Thank you.
mpl
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View this message in context:
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Sent from the R help mailing
Dear R-users,
Suppose I have the followin g sample of data,
0 1 2 4 3
1 2 1 3 1
1 3 3 4 1
0 1 2 1 2
1 4 1 4 2
1 2 2 1 1
The first variable is the response variable where 0 is defective and 1
normal. The other four factors( x1,x2,x3,x4) that influence
Dear Ben,
Le samedi 18 avril 2009 à 23:37 +, Ben Bolker a écrit :
Emmanuel Charpentier charpent at bacbuc.dyndns.org writes:
I forgot to add that yes, I've done my homework, and that it seems to me
that answers pointing to zero-inflated Poisson (and negative binomial)
are
Dear list,
I have the following problem : I want to model a series of observations
of a given hospital activity on various days under various conditions.
among my outcomes (dependent variables) is the number of patients for
which a certain procedure is done. The problem is that, when no relevant
I forgot to add that yes, I've done my homework, and that it seems to me
that answers pointing to zero-inflated Poisson (and negative binomial)
are irrelevant ; I do not have a mixture of distributions but only part
of one distribution, or, if you'll have it, a zero-deflated Poisson.
An answer by
Emmanuel Charpentier charpent at bacbuc.dyndns.org writes:
I forgot to add that yes, I've done my homework, and that it seems to me
that answers pointing to zero-inflated Poisson (and negative binomial)
are irrelevant ; I do not have a mixture of distributions but only part
of one
meys
Verzonden: dinsdag 24 maart 2009 20:30
Aan: R-help Mailing List
Onderwerp: [R] modelling probabilities instead of binary data with
logisticregression
Dear all,
I have a dataset where I reduced the dimensionality, and now I have a
response variable with probabilities/proportions between 0 and 1
answer can be extracted from a given body of
data.
~ John Tukey
-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Namens joris meys
Verzonden: dinsdag 24 maart 2009 20:30
Aan: R-help Mailing List
Onderwerp: [R] modelling probabilities
Dear all,
I have a dataset where I reduced the dimensionality, and now I have a
response variable with probabilities/proportions between 0 and 1. I wanted
to do a logistic regression on those, but the function glm refuses to do
that with non-integer values in the response. I also tried lrm, but
Thank you all for the very fast answers.
My proportions come from a factor analysis on a number of binary variables,
in order to avoid having to fit 12 logistic regressions on the same dataset.
By scaling the obtained scores to 0 and 1, I get weighted averages of the
response combinations I'm
Thanks Marcel,
In addition to your program and the reference to simecol, someone had
replied to my private email pointing out RLadyBug: An R package for
stochastic epidemic models which is on CRAN and which seems one of the most
relevant. I write it here as a reference for users doing a future
I was at a lecture the other day and I saw a presentation of very neat
(short) animation modeling epidemic disease spread over a map region. When I
ask what software they used they mentioned SAS. Do you know if there are
equivalent resources in R to model the spread of disease with animation
The simecol package is maybe what you want.
http://hhbio.wasser.tu-dresden.de/projects/simecol/
http://hhbio.wasser.tu-dresden.de/projects/simecol/
Another possibility is to use a program i've written.
Here is a flash presentation maybe also interesting for you.
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