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## PowerPoint Slideshow about ' Programming in R' - armand-gutierrez

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### Programming in R

Getting data into R

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.

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.

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.

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)

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.

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.

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.

Importing CSV file

#~~~~~~~~~~~~~~~~~~~~~~~~#

# code chunk 2 #

# Import CSV File #

#~~~~~~~~~~~~~~~~~~~~~~~~#

widge <- read.csv("C:\\Path here\\WidgeOne.csv")

head(widge)

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