search for: phenological

I use R 2.15.2 on MacosX 10.8.2 I have a problem checking for a package that I want to submit in CRAN. When I check like that, no problem or warning are detected. system("R CMD check '[path]/phenology'") I create the .tar.gz package with that. The file phenology_3.43.tar.gz is generated. I can install the package and it works. system("R CMD build

Dear R-users -- -- Heather Anne ------------------------------------------- Heather A. Wright, PhD candidate Ecology and Evolution of Plankton Stazione Zoologica Anton Dohrn Villa Comunale 80121 - Napoli, Italy website<http://www.szn.it/SZNWeb/cmd/ShowArchiveItem?TYPE_ID=HUMANRESOURCE&ITEM_ID=21942&LANGUAGE_ID=2> Lab: +39 081 583 3201 Cell: +39 366 484 2196 Fax: +39 081 764 1355 *

Hi, I try to make my first package? The HelloWorld.R file is: #### HelloWorld.R #### #' showHello est une fonction R permettant d'afficher le message #' "Hello World!" sur la console. #' @title la fonction showHello() showHello <-function(){ cat("Hello World!\n") } I use the following procedure to get the tar: # set the working directory where the file is

Apologies for the empty email earlier! I have species abundance data sampled at a weekly frequency or sometimes monthly depending on the year. The goal is to identify the dates in an annual cycle in which the cumulative abundance of a species reaches some threshold. Here's an example of the data for 1 species over an annual period: "mc_pheno" is the object created from this data:

Dear R-er, For a non-linear optimisation, I used optim() with BFGS method but it stopped regularly before to reach a true mimimum. It was not a problem with limit of iterations, just a local minimum. I was able sometimes to reach better minimum using several rounds of optim(). Then I moved to optimx() to do the different optim rounds automatically using "Nelder-Mead" and

I'm trying to select a model under PCA using independent contrasts. Since PICs need to be forced through the origin I've been using lmorigin for the original regression, but it doesn't appear that stepAIC recognizes it. I keep receiving an error message - "Error in na.fail.default(list(Phenology = c(NA_integer_, NA_integer_, : missing values in object" I'm having

Hi, I am currently working with a data set which contains a list of julian dates of phenological (flowering, leaf growth etc.) I obtained a correlation matrix by simply using the cor function with the dataset cor(dataset,use="complete.obs") that gives me a correlation matrix but the correlations are somehow different from when I run individual correlations using the cor function a...

Thanks to the many people who adviced me on this topic. xfig works very well, at least for what I have to do now. I'd like to answer the message by Paul Marrell as well as encourage others to do so: On Fri, 23 Nov 2001, Paul Murrell wrote: > I would be very interested to know the sorts of things you do to add things > interactively to plots. > > As one reply mentioned, there

CRAN (and crantastic) updates this week New packages ------------ * EffectStars (1.0) Maintainer: Unknown Author(s): Gunther Schauberger License: GPL-2 http://crantastic.org/packages/EffectStars The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical

The USDA-Agricultural Research Service, Southeast Watershed Research Unit in Tifton, GA, is seeking a postdoctoral research associate for a full-time, 2 year appointment. The research associate will develop, calibrate, and validate a semi-empirical model for estimating cotton biomass from fields within the southeastern United States. Model development will involve the use of optical and radar

does anybody have a suggestion as to how to use R to fit some date to a cosine function and then have some output statistics that will evaluate the fit? -- View this message in context: http://r.789695.n4.nabble.com/cosine-curve-fit-tp4650866.html Sent from the R help mailing list archive at Nabble.com.

...e you the raw periodogram and the dominant frequencies after you smooth the periodogram. If your intention is to just fit a curve to your data there are many types of cuve fitting options moving average etc. I am essentially trying to fit a smooth line (through some data gaps) from which phenological type indices of snow depth can be derived. What are you trying to do find the dominant periodicy? make a prediction equation? fit a smooth line? or... give us some more information and maybe we can help On 1/28/08, Carson Farmer [1]<cfarmer at uvic.ca> wrote: Rolf Turner wrote: On 26...

Hello all- I have a question related to encoding. I'm using a seperate program which takes either 16 bit or 8 bit (flat binary files) as inputs (they are raster satellite imagery and the associated quality files), but can't handle both at the same time. Problem is the quality and the image come in different formats (quality- 8bit, image- 16bit). I need to switch the encoding on the

CRAN (and crantastic) updates this week New packages ------------ * bisectr (0.0.2) Maintainer: Winston Chang Author(s): Winston Chang <winston at stdout.org> License: GPL-2 http://crantastic.org/packages/bisectr Tools to find bad commits with git bisect * CUMP (1.0) Maintainer: Xuan Liu Author(s): Xuan Liu <liuxuan at bu.edu> and Qiong Yang <qyang at bu.edu>

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):