For both glm() and mgcv::gam() quasibinomial error models, the summary
object has a dispersion value that has the same role as sigma^2 in the
summary object for lm() model fits.
Where some fitted probabilities are small, the `gam()` default scale parameter
estimates, returned as `scale` (and `sig
Hi
Feeding R-help back in, in case my suggestions might be of use to
someone else ...
Thanks for the examples - so the main benefit you are looking for is the
labelling on the axes (date labels) ?
If you are just trying to avoid the annoying white lines, it may just be
your PNG/PDF viewer;
Hi Soren,
Thanks for the reply. The main reason I want to compute the derivative is to
add it to the derivative table in R so that I can use it later in my
optimization. And, my complicated function doesn’t have an analytical form of
the derivative as it involves distribution function of a biva
One approach is to compute things exact using the caracas package; see
below.
Best regards
Søren
> library(caracas)
> f <- function(x,y){x+y}
> def_sym(x,y,z)
> f <- x+y^2+y*z^2
> f
[caracas]: 2 2
x + y + y⋅z
>
> d1 <- der(f, c(x,y,z))
> d2 <- der2(f, c(x,y,z))
>
>
Almost certainly better posted on R-Sig-geo, not here.
See here for more info on R mailing lists:
https://www.r-project.org/mail.html
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom Count
Hello everyone,
I am writing my code in R to run the spatial models. I am learning this
at the moment.
I have my data for 116 countries over the period 1990-2014,
and I got the shapefile from the website below.
The objective is to get the matrix to run the spatial models.
In th
Is correct but incomplete documentation considered a bug? The documentation of
trigonometric functions goes into detail about branch cuts for asin etc., but
does not discuss the discontinuities of atan2. (It also fails to explain the
difference between asin(2) (NaN) and asin(2+0i) (pi/2-acosh(2)
Hi,
I am trying to solve a non-linear least square which has a function from R^3 ->
R. Is it possible to define gradient using newDeriv for a 3-variate scalar
function?
I am trying to use the genD function in numDeriv package to define numerical
gradient and treat them as a function. So far, I
Shah,
I am the maintainer of the lhs package. Please feel free to contact
package maintainers directly for help specific to their package.
If I understood your request, this is how I would construct the lhs...
prior_lhs <- data.frame(
name = c("r_mu", "r_sd", "lmp", "gr_mu", "gr_sd", "alpha1"
Thanks Marc
Bernard
Sent from my iPhone so please excuse the spelling!"
> On Apr 14, 2021, at 2:20 PM, Marc Schwartz wrote:
>
> Hi,
>
> When you experience errors with a third party package like that, one of the
> first steps to take is to review the results of CRAN testing on the package.
Hi,
When you experience errors with a third party package like that, one of
the first steps to take is to review the results of CRAN testing on the
package. That is available via the "CRAN checks:" link on the package page:
https://cran.r-project.org/web/packages/XLConnect/index.html
That
Hello,
That is a unix/linux command and you are on Windows. The cat command and
other unix/linux commands can be installed when you install Rtools [1].
It is not well seen to cross post [2].
[1] https://cran.r-project.org/bin/windows/Rtools/
[2]
https://stackoverflow.com/questions/67087299/e
1. Your query is off topic. See the posting guide linked below for what is
appropriate. In particular, note:
"*Questions about statistics:* The R mailing lists are primarily intended
for questions and discussion about the R software. However, questions about
statistical methodology are sometimes po
I installed the "XLConnect" package which appears to be successful and then
tried to load the "XLConnect" library and got an error as shown below. Any
ideas as to where to look for the source of the error? The word "release" in
the error message makes me think it is some issue with the version o
Hello,
I am using R package deSolve to solve a system of two differential equations
for a one-dimensional spatial and time-based problem. There is one ODE and a
second-order PDE. In order to solve with the function ode.1D, I've discretized
the spatial derivative and put both equations in terms
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