Exploring Data and Descriptive Statistics (using R)

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Exploring data and Descriptive Statistics (using R)Oscar Torres-ReynaData Analysis 101 What is R Transferring data to R Excel to R Basic data manipulation Frequencies Crosstabulations Scatterplots/Histograms Exercise 1: data from ICPSR using the Online Learning Center. Exercise 2: data from the World Development Indicators & Global Development Finance from the World BankThis document is created from the following: is R? R is a programming language use for statistical analysis and graphics. It is based S plus. [see ] Multiple datasets open at the same time R is offered as open source ( free) Download R at A dataset is a collection of several pieces of information called variables (usually arranged by columns). A variable can have one or several values (information for one or several cases). Other statistical packages are SPSS, SAS and data extensions*.dta*.

# ‘to.data.frame’ return a data frame. # ‘use.value.labels’ Convert variables with value labels into R factors with those levels. # ‘use.missings’ logical: should information on user-defined missing values be used to set the

  Data, Statistics, Descriptive, Descriptive statistics