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scatterplot3d - An R Package for Visualizing Multivariate Data

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TLDR
Scatterplot3d as discussed by the authors is an R package for the visualization of multivariate data in a 3D space, which is designed by exclusively making use of already existing functions of R and its graphics system.
Abstract
Scatterplot3d is an R package for the visualization of multivariate data in a three dimensional space. R is a "language for data analysis and graphics". In this paper we discuss the features of the package. It is designed by exclusively making use of already existing functions of R and its graphics system and thus shows the extensibility of the R graphics system. Additionally some examples on generated and real world data are provided.

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Book

A Handbook of Statistical Analyses Using R

TL;DR: An Introduction to R What Is R?
Journal ArticleDOI

Enjoy the Joy of Copulas: With a Package copula

TL;DR: The R package copula provides a carefully designed and easily extensible platform for multivariate modeling with copulas in R, with methods for density/distribution evaluation, random number generation, and graphical display.
Journal ArticleDOI

Defining the transcriptome and proteome in three functionally different human cell lines

TL;DR: This study shows a path to characterize the transcriptome and proteome in human cells from different origins based on sequence‐based transcriptome analysis (RNA‐seq), SILAC‐based mass spectrometry analysis and antibody‐based confocal microscopy.
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Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity

TL;DR: Intra-tumor heterogeneity is one of the biggest challenges in cancer treatment today and here, the authors investigate transcriptional heterogeneity in prostate cancer, examining expression profiles of different tissue components and highlighting expression gradients in the tumor microenvironment.
References
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Journal ArticleDOI

R: A Language for Data Analysis and Graphics

TL;DR: In this article, the authors discuss their experience designing and implementing a statistical computing language, which combines what they felt were useful features from two existing computer languages, and they feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scope.
Book

Statistical Models in S

TL;DR: The interactive data analysis and graphics language S has become a popular environment for both data analysts and research statisticians, but a common complaint has concerned the lack of statistical modeling tools, such as those provided by GLIM© or GENSTAT©.
Book

Non-linear time series. A dynamical system approach

Howell Tong
TL;DR: Non-linear least-squares prediction based on non-linear models and case studies and an introduction to dynamical systems.
Book

Visualizing Data

TL;DR: Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.
Journal ArticleDOI

Improved tests for a random effects meta-regression with a single covariate

TL;DR: This work examines the commonly used tests on the parameters in the random effects meta-regression with one covariate and proposes some new test statistics based on an improved estimator of the variance of the parameter estimates based on some theoretical considerations.