I haven't run your example.
I may try tomorrow-ish if no one else answers.
But one question: Are you sure the "x" and "i" are correct in your function?
It looks like a typo...
On Sun, Apr 26, 2020 at 2:14 PM Rolf Turner wrote:
>
>
> For some reason fitdistr() does not seem to be passing on the
For some reason fitdistr() does not seem to be passing on the "..."
argument "lower" to optim() in the proper manner, and as result
falls over.
Here is my example; note that data are attached in the file "x.txt".
dhse <- function(i,alpha,beta,topn) {
x <- seq(0,1,length=topn+2)[-c(1,topn+2
> I am making some plots with plot() which have a fair number of points
> (thousands) and I would like to be able to interactively select a
> region of the plot and zoom in on it.
This doesn't answer your question, but I was wondering why having
thousands of data points is problematic?
Sometimes
Have a look at the dnorm function:
?dnorm
Notes:
(1) You'd be better to say estimate (or fit) parameters (or
coefficients) and plot the resulting normal distribution (or normal
density), rather than say fit a density curve, because someone may
think you want a kernel density estimate with a Gaussi
On Sat, 25 Apr 2020 19:02:59 + (UTC)
varin sacha via R-help wrote:
> plot(function(d)
> k*exp(-0.5*(d-m)^2/sd^2),col=2,add=TRUE,xlim=range(d))
Remove the `add=TRUE` or calculate the values manually and you'll see
that the function value is zero because the values in `d` are too big
compared
Dear R-experts,
I am trying to fit a gaussian density curve. More precisely, I would like to
obtain the fitted "Gaussian curve".
"m" is the gaussian mean, "sd" is the standard deviation and "k" is an
arbitrary scaling parameter (since the gaussian density is constrained to
integrate to 1, wher
Hi,
I am sorry if I am misunderstanding what you are trying to do here, but can
you simplify it this way?
(unfortualtely, this is untested since I dont have a suitable set of files
and a directory structure to test against)
dbifiles <- list.files(pattern="*.dbi",recursive=TRUE)
csvfiles <- gsub
dear all,
In addition to the thorough and intuitive incidence package, I would
like to indicate a technical report on the same topic. R code and
worked examples are reported.
https://www.researchgate.net/publication/340664370_Modelling_COVID-19_outbreak_segmented_regression_to_assess_lockdow
On Wed, Apr 22, 2020 at 11:44 PM Cade, Brian S via R-help
wrote:
>
> All the xYplot() functions using Cbind() or cbind() does just exactly what I
> want (Cbind
> provides aplot of 3 summary statistics and cbind provides the raw values). I
> just cannot
> find anyway to overlay them.
You are no
On Sat 25 Apr, 2020, 12:10 PM Robert Dodier,
wrote:
> Hi,
>
> I am making some plots with plot() which have a fair number of points
> (thousands) and I would like to be able to interactively select a
> region of the plot and zoom in on it. I tried the zoom package which
> has the function zm() bu
Plotly and dygraphs support this.
On April 24, 2020 11:11:44 AM PDT, Robert Dodier
wrote:
>Hi,
>
>I am making some plots with plot() which have a fair number of points
>(thousands) and I would like to be able to interactively select a
>region of the plot and zoom in on it. I tried the zoom packa
11 matches
Mail list logo
