similar to: temporal dependence?

Dear list, This is a bit of an off-topic question, but I'm hoping to get some advice from more experienced people. I've used the website "Web of Science" to manually collect publication counts responding to several keywords as a function of date, since the 1960s. http://apps.isiknowledge.com/RAMore.do?product=UA&search_mode=&SID=P1g9lFJp9 at

October 16, 2005 - Release 0.18 of Open Clip Art Library (http://www.openclipart.org), containing over 6900 SVG files created by over 500 artists, is now available for download and use. For the month of September, the Open Clip Art Library sought imagery related to pets including images of different breeds appropriate for use by animal shelters. For the upcoming 0.19 release, due November 1,

Hello all! I have a problem with ggplot2 library. I want to do an heat map and the y variables are the year months. If I use the following code, he y values are in alphabetical order, but I want it in month order. The code is: library(reshape) library(ggplot2) library(scales) p <- ggplot(data.m, aes(variable, Month)) + geom_tile(aes(fill = value),

Greetings! Is there in any package for R which can help me generate madogram, rodogram, semi-variogram, cross variogram from landsat imagery. I intend to select portions of large imagery (i.e., obtain subsets) and generate the above said texture layers. A simple Google search led to me a result suggesting SpatialExtremes for generating madograms. However I am not sure about its capability to

Hi all I have been trying to use the randomForest package to model insect species abundance in different habitats and identify the key variables (landscape/climate etc) in determining abundance, which has all worked fine and I get nice variable importance plots etc. Many thanks to everyone on this help forum who has given tips/advice along the way. But the percentage variance explained /pseudo r

Dear List, Is there a color palette avaliable similar to what is used in satellite ocean color imagery? I.e. a gradient with blue on one end and red on the other, with yellow in the middle? I have tried topo.colors(n) but that comes out more yellow on the end. I am looking for something similar to what is found on the CoastWatch web page:

We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models,

Hi R community! I'd like to create a temporal series with ts command for the interval 1st January 2002 - 31 December 2008. I have daily values, so this is a 2557 days temporal series. I'm using this command : ts(observations, start=2002, end=2009, freq=365) However, I don't get the correct temporal series since both frequency (365 OR 366 for leap years) and deltat (1/365 OR

Dear All, I have a collections of spatial data. I have to analyze pairs of these point patterns to test their spatial interaction. I was moving towards the cross K Ripley's function. The problem, however, are the following: 1) What is the best way to get a single real value that represents the interaction "power"? 2) How to obtain a value that even allows me to rank the pairwise

Hello, My work deals with non-temporal loads and stores i found non-temporal meta data in llvm documentation but its not shown in IR. How to get non-temporal meta data? -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20180120/7dd4ba6f/attachment.html>

On 20/01/2018 17:44, hameeza ahmed via llvm-dev wrote: > Hello, > > My work deals with non-temporal loads and stores i found non-temporal > meta data in llvm documentation but its not shown in IR. > > How to get non-temporal meta data? llvm\test\CodeGen\X86\nontemporal-loads.ll shows how to create nt vector loads in IR - is that what you're after? Simon.

Hello We would like to perform a logistic regression analysis weighting the independent variable in a temporal fashion, i.e. events occuring most recent get highest weight. Does anyone know how to do this in R?? Regards S. Merser and S. Lophaven

Dear R-listers, I would like to carry out a very basic descriptive analysis of homicides rates in Italy, taking into account both the spatial dimension (103 provinces) and the temporal dimension (10 years), but no covariates. In practice, what I would like to do is to describe spatio-temporal variation of homicide rates, identifying those combinations of province-year where the homicide rate

Hi! If you were looking foe a paper about improving vorbis compression by using arithmetic coding and exploiting temporal redundancies (i.e. repeating sound) you might have a look here: http://web.interware.hu/rudas Three ogg vorbis files were compressed losslessly, with compression ratios between 2 - 8 % and compression time about 1/500 realtime (i.e. slow). Theoretical upper bound of the

I have dataframe a: sym date val1 === ==== ==== foo 20090101 a1 foo 20090102 a2 foo 20090103 a3 and dataframe b: sym date val2 === ==== ==== foo 20090104 b1 I would like to join/merge them to generate the following: sym date val2 val1 === ==== ==== ==== foo 20090104 b1 a3 i.e. an equijoin on column 'sym' and a temporal join on column 'date' where the closest matching row is

Dear R-users, I have an anual info of gross product and I would like to disaggregate to trimestral data. Can I import a matlab library of Quilis? ( http://www.mathworks.com/matlabcentral/fileexchange/24438-temporal-disaggregation-library ) Thanks, Sebasti?n.

Hi. I'm trying to add some vertical lines to an xyplot in which x axis is a temporal variable (class=dates) and y axis a factor variable. This is my code: xyplot(factor(Abacus$Emisor)~Abacus$Dia,xlab="Date", ylab="Fish",pch=124, scales=list(x=list(format="%b %Y",tick.number=30)) , panel=function(...){ panel.xyplot(...) panel.abline(v=08/08/2008) }) I'd

I have a dataset like this: sites years Var1 Var2 1 1960 505 3.013833 1 1961 533 4.118784 1 1962 609 14.96386 1 1963 465 -3.74409 1 1964 837 41.70164 1 1965 727 29.53478 2 1960 493 3.269235 2 1961 535 5.386015 2 1962 608 16.26244 2 1963 469 -2.09736 2 1964 830 42.01942 2 1965 715 29.92867 3 1960 489

Estimado Rubén Gómez Antolí En mi caso en particular al trabajar con fechas, me encontré con inconvenientes, algunos de ellos fueron mejorados en R, hoy estoy desactualizado, pero creo que en el siguiente lugar http://cran.r-project.org/web/views/TimeSeries.html hay referencia actualizada, esperando que en esta encuentre lo que necesite lo saludo muy atentamente. Javier Marcuzzi

Dear R users, I have been doing some eof analysis using princomp function, then the eof results were rotated with varimax and promax functions. Those functions are working fine. However, after their uses, I cannot find how to obtain the temporal evolution and the variance of the obtain components, as varimax and promax does not have the arguments $scores and $sdev. If any body, know how to