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armand-gutierrez

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Programming in R
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  1. Programming in R Getting data into R

  2. Importing data into R In this session we will learn: • Some basic R commands • How to enter data directly into R • How to use commands to read data from CSV files, tab delimited files, and fixed field files.

  3. R Data type • Vectors – a single column (or row )of data • Example – a numeric vector containing test scores of students • Matrix – a collection of vectors but must all be of the same data type • Data frame – a special matrix that can contain both numeric and character columns.

  4. R commands • c() – creates a column vector • print – prints the contents of an object • read.csv – reads in a CSV file • read.table – more generic function that can read in files with any delimiter, such as tab delimited. • read.fwf– reads in fixed record formats.

  5. Creating Data in R • The easiest way to add data to R is to code it. names <- c("Bob","Gene","Valerie") print(names) age <- c(30, 40, 19) hometown <- c("Dallas, TX", "Little Rock, AR", "Dayton, OH") print(hometown)

  6. Importing Data Into R • In order to import data into R, we need to know how the file was created. • Excel file • SAS • SPSS • Delimited • Fixed-field or fixed record.

  7. Importing Data Into R • Base R cannot import data directly from Excel. • There are packages available that allow R to import directly from Excel. • We will learn about packages in the next session.

  8. Importing Excel • Need to save Excel as a CSV file. • Click File/Save As • On the next GUI, select CSV from the Save as type. • We will demonstrate it in a few minutes.

  9. CSV File

  10. Importing CSV file #~~~~~~~~~~~~~~~~~~~~~~~~# # code chunk 2 # # Import CSV File # #~~~~~~~~~~~~~~~~~~~~~~~~# widge <- read.csv("C:\\Path here\\WidgeOne.csv") head(widge)