Introduction to CRAN e1071
CRAN e1071 is a set of machine learning, data mining and statistical methods for the analysis of high-dimensional, complex data. The package provides functions that support a wide variety of supervised and unsupervised tasks, including classification and regression, clustering and feature selection, dimensionality reduction and model selection methods. Its computational core is R^2: a C++ library for fast performance estimates of statistical models. CRAN e1071 is a C++ library implement of the 1071 and 1072 algorithms for random number generation. e1071 is an R package providing E1071 and a few other functions related to statistical distributions, including non-parametric distributions for which an explicit distribution function cannot be computed with arbitrary precision. CRAN e1071 is a standard methodology for evaluating individuals with potential for criminal activity. The assessment consists of a series of structured interviews, questionnaires, and self-administered tasks, based on the foundation of the dynamics of personality traits. CRAN e1071 is a package that allows you to work with the Empirical Bayes classifier from within R. This is a supervised machine learning technique used to classify objects into one of two or more classes. CRAN e1071 is an extension for R for time series analysis and forecasting. Time series modelling is a difficult and confusing topic, which requires some knowledge of statistics, linear algebra and econometrics to understand it fully. In this package we aim to make it easier by providing a comprehensive set of tools for time series analysis, covering data exploration and simple models for single time series up to complex multivariate models with ARIMA components. CRAN e1071 contains a subset of the CRAN package that has been curated using the code review process described in the manual. It should be considered an extension to CRAN, not an alternative to it. See README-e1071.txt for details. Cran can display, prepare, revise and share R code. It also provides a convenient way to organize your projects as logical collections of R scripts and data files. There are two key features in this dataset: The first is that the data contains some characteristics about automobiles (such as the model number, fuel type, and engine horsepower) and some characteristics about their drivers (such as the driver sex, age, and annual income). This includes 30 variables on each side. The second feature is that the rows (i.e. observations) are ordered by information entropy -the higher a person’s information entropy, the higher their ability to influence others. CRAN e1071 is a dataset that describes all the changes made to R packages and version numbers since their first release. The data is available in an R package called cran_e1071 which is linked from this page. CRAN e1071 is a front-end to the RStats programming environment, an IDE and package manager. It requires R to be installed on your computer and automatically installs any packages you require when you run an analysis. This module provides functions for the identification of spatial and temporal patterns in data time series. The functions can be used to generate diagnostic plots for local polynomial interpolation, global spline interpolation, local regression, multiple linear regression and ARIMA models. Furthermore, it provides functions for analysing the results from these tests and for calculating summary statistics at multiple levels of smoothing parameter. CRAN e1071 is part of Environment & Energy Research Area (EERA) that performs research on topics related to climate change and its impact on environment and energy systems.
