Exploring Data and Descriptive Statistics (using R)

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*.sav,*.por (portable file)*.sas7bcat, *.sas#bcat, *.xpt (xport files)*.

# list rows of data that have missing values mydata[!complete.cases(mydata),] # The function na.omit() returns the object with listwise deletion of missing values. # Creating a new dataset without missing data mydata1 <- na.omit(mydata) OTR 21

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  Data, Missing, Missing data

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