r programming workbook

R allows you to carry out statistical analyses in an interactive mode, as well as allowing simple programming. Installing R. To use R, you ...

www.tu-chemnitz.de·385.4 KB

In this exercise we will perform multivariate matching in R by using the Genetic Matching algorithm, incorporated in the R package Matching.

www.aes.es·337.6 KB

In the exercises below we cover the basics of data frames. Before proceeding, first read the help pages for the cbind, dim, str, order and cut functions.

filippopiccinini.altervista.org·335.2 KB

R is a software package that is useful for statistical analysis of experimental data. It is not the only software available for data analysis ...

faculty.engineering.ucdavis.edu·261.3 KB

Command. Purpose help(). Obtain documentation for a given R command example(). View some examples on the use of a command c(), scan().

sites.calvin.edu·245.8 KB

The purpose of this document is to introduce many of the basic concepts and nuances of the language so that users can avoid a slow learning curve.

cran.r-project.org·243.2 KB

This course is only 14 pages long (inc. pictures) and you work through it in your own time so it's probably the least painful introduction to R currently ...

pages.stat.wisc.edu·237.0 KB

The exercises in each chapter are designed to reinforce the material. They are provided primarily for class- room usage but are also useful for ...

r-marketing.r-forge.r-project.org·226.0 KB

Start RStudio on your computer. If you haven't already done so, create a new RStudio Project (select. File –> New Project on the main menu).

alexd106.github.io·180.8 KB

These brief exercises are meant to illustrate some common obstacles to efficient. R programming. The idea is that you'll follow along with ...

bioconductor.org·179.4 KB

The exercises are graded—the first two sheets are intended to get users thinking in terms of vector and matrix operations whilst the later ...

www.dcc.fc.up.pt·145.6 KB

The datasets support teaching and learning of statistical concepts such as sampling methods, descriptive analysis, estimation and basic data ...

cran.r-project.org·103.6 KB

This tutorial series is designed to provide an accessible introduction to techniques for handling, analysing and visualising spatial data in R. R is an open ...

www.spatialanalysisonline.com·231 B