metvurst.wordpress.com
Introducing Rsenal – magic R functions for things various | metvurst
https://metvurst.wordpress.com/2014/11/01/introducing-rsenal-magic-r-functions-for-things-various
METeorological Visualisation Utilities using R for Science and Teaching. Marburg R Users Group. Reot: Empirical Orthogonal Teleconnections in R. Remote is the new Reot →. Introducing Rsenal – magic R functions for things various. November 1, 2014. Today, I would like to quickly introduce our package “Rsenal”. It is basically a collection of R functions that we use in our daily lives at Environmental Informatics Marburg. The package is hosted at GitHub. And can be installed using the. File That said, it a...
georges.blog.yorku.ca
latticeExtra R package | Georges Monette's Home Page
http://georges.blog.yorku.ca/2014/11/latticeextra-r-package
Georges Monette's Home Page. Statistics in the News. DRAFT r-sig-mixed-models FAQ - GLMM. What your doctor should know about Statistics - but perhaps doesn't →. November 29, 2014. This entry was posted in Uncategorized. DRAFT r-sig-mixed-models FAQ - GLMM. What your doctor should know about Statistics - but perhaps doesn't →. MATH 6627 home page. NATS 1500 home page. SCS Workshop on Visualizing Regression. SCS: Longitudinal and Hierarchical Data Analysis with Mixed Models in R. Stats Day at York.
oscarperpinan.github.io
rasterVis
https://oscarperpinan.github.io/rastervis
Package, providing a set of methods for enhanced visualization and interaction. It defines visualization methods for quantitative data. And categorical data, with. Both for univariate and multivariate rasters. It also includes several methods in the frame of the Exploratory Data Analysis. Histograms and density plots with. Violin and boxplots with. And a matrix of scatterplots with. On the other hand,. Provides three methods to display spatiotemporal rasters. Or with streamlines,. The stable release of.
eatandexcrete.blogspot.com
Gringo Tur: Kickin' it Stateside: June 2011
http://eatandexcrete.blogspot.com/2011_06_01_archive.html
Gringo Tur: Kickin' it Stateside. Friday, June 24, 2011. Empirical confidence intervals, redux. Evidently I've re-invented the wheel. There's nothing quite like spending an afternoon trying to get R to Plot What I Mean. In hopes of getting a paper off my desk and out the door, I got to revisit the overplotting conundrum. Previously presented. I wanted to plot this:. Which uses a 2D kernel estimate to plot most of the data, then overplots outliers:. Make the slices with at least n. Gives the 100-2* conf.
magesblog.com
Transforming subsets of data in R with by, ddply and data.table
http://www.magesblog.com/2012/06/transforming-subsets-of-data-in-r-with.html
Transforming subsets of data in R with by, ddply and data.table. 12 Jun 2012 03:55. Transforming data sets with R is usually the starting point of my data analysis work. Here is a scenario which comes up from time to time: transform subsets of a data frame, based on context given in one or a combination of columns. As an example I use a data set which shows sales figures by product for a number of years:. There are lots of ways of doing this transformation in R. Here are three approaches using:. I will s...
lattice.r-forge.r-project.org
Lattice: trellis graphics for R
http://lattice.r-forge.r-project.org/documentation.php
Lattice: trellis graphics for R. The primary documentation of lattice is the online documentation accompanying the package. This is not yet as complete as we would like, but is fairly comprehensive. From within R, type. For an introductory page with further links. The complete online documentation is also available in the form of a single PDF. An Introduction to Lattice. Also see A Technical Overview of Lattice. From the Lattice book. Displaying Model Fits in Lattice Plots.
lattice.r-forge.r-project.org
Lattice: trellis graphics for R
http://lattice.r-forge.r-project.org/index.php
Lattice: trellis graphics for R. The lattice add-on package is an implementation of Trellis graphics for R. It is a powerful and elegant high-level data visualization system with an emphasis on multivariate data. It is designed to meet most typical graphics needs with minimal tuning, but can also be easily extended to handle most nonstandard requirements. The Lattice API is based on the original design in S, but extends it in many ways. In your R session.
