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Full_Name: Tim Heaton Version: 2.8.1 OS: linux-gnu Submission from: (NULL) (143.167.4.162) Hi, In my version of R, the stats package splinefun code for fitting a Fritsch and Carlson monotonic spline does not guarantee a monotonic result. If two adjoining sections both have over/undershoot the way the resulting adjustment of alpha and beta is performed can give modified values which still do

Hi, In my version of R, the stats package splinefun code for fitting a Fritsch and Carlson monotonic spline does not appear to guarantee a monotonic result. If two adjoining sections both have over/undershoot the way the resulting adjustment of alpha and beta is performed can give modified values which still do not satisfy the required constraints. I do not think this is due to finite precision

I've rolled up R-2.11.1.tar.gz a short while ago. This is an update release, which fixes a number of mostly minor issues. The most annoying one was probably the problem with format.POSIXlt causing C stack overflow on long date vectors. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.11.1.tar.gz or wait for it to be mirrored at a CRAN site

I've rolled up R-2.11.1.tar.gz a short while ago. This is an update release, which fixes a number of mostly minor issues. The most annoying one was probably the problem with format.POSIXlt causing C stack overflow on long date vectors. See the full list of changes below. You can get it from http://cran.r-project.org/src/base/R-2/R-2.11.1.tar.gz or wait for it to be mirrored at a CRAN site

Dear exports,I have created a hypsometric curve (area-elevation curve) for my watershed by using simple command hypsometric(X,main="Hypsometric Curve", xlab="Relative Area above Elevation, (a/A)", ylab="Relative Elevation, (h/H)", col="blue")It plots the hypsometric curve in "RGraphics window", My question is how can I export values which is used

The build system rolled up R-3.0.1.tar.gz (codename "Good Sport") this morning. The list below details the changes in this release. You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.0.1.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. For the R Core Team Peter Dalgaard These

On 3/11/2018 3:35 PM, Christofer Bogaso wrote: > But for my reporting purpose, I need to generate a bell curve like > plot based on empirical PDF, that also contains original points. > > Any idea would be helpful. Thanks, > Christofer, something like the following may get you what you want: ## get the kernel density estimate dens <- density(Dat) ## estimate the density at

But for my reporting purpose, I need to generate a bell curve like plot based on empirical PDF, that also contains original points. Any idea would be helpful. Thanks, On Mon, Mar 12, 2018 at 3:49 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > You need to re-read ?density and perhaps think again -- or do some study -- > about how a (kernel) density estimate works. The points at

I've rolled up R-2.8.0.tar.gz a short while ago. This is a development release which contains a number of new features. Also, a number of mostly minor bugs have been fixed. See the full list of changes below. You can get it (later today) from http://cran.r-project.org/src/base/R-2/R-2.8.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. In case of impatience, try

I've rolled up R-2.8.0.tar.gz a short while ago. This is a development release which contains a number of new features. Also, a number of mostly minor bugs have been fixed. See the full list of changes below. You can get it (later today) from http://cran.r-project.org/src/base/R-2/R-2.8.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. In case of impatience, try