MSA 8105 - Introduction to R Programming - Module 3 Vocabulary

MSA 8105 - Introduction to R Programming - Module 3 Vocabulary

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Section 1

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is.na()

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Cards (29)

Section 1

(29 cards)

is.na()

Front

An R function that tests if an object contains missing values

Back

is.list()

Front

An R function that checks an object to determine if it is a list

Back

rbind()

Front

An R function that combines rows to form an object

Back

as.list()

Front

An R function that converts an object to a list

Back

attributes()

Front

An R function that identifies the attributes of an object

Back

list

Front

A data structure in R that contains objects of one or many types including vectors, matrices, and data frames

Back

names()

Front

An R function that identifies the names attribute of an object

Back

data frame

Front

A two dimensional data structure where columns can contain different types of data

Back

is.vector()

Front

An R function that checks an object to determine if it is a vector

Back

is.matrix()

Front

An R function that checks an object to determine if it is a matrix

Back

matrix

Front

A two dimensional data structure with all elements of the same basic type

Back

as.matrix()

Front

An R function that converts an object to a matrix

Back

scraping

Front

A technique employed to extract large amounts of data from websites into a locally saved file

Back

is.data.frame()

Front

An R function that checks an object to determine if it is a data frame

Back

dim()

Front

An R function that identifies the dimensions attribute of an object

Back

cbind()

Front

An R function that combines columns to form an object

Back

head()

Front

An R function that displays the first 6 rows of a data frame

Back

sum(is.na())

Front

An R function that sums the number of missing values in an object

Back

as.data.frame()

Front

An R function that converts an object to a data frame

Back

which(is.na())

Front

An R function that finds missing values in an object

Back

subsetting

Front

The act of pulling in a subset of a data structure

Back

Application Programing Interface

Front

A set of routines, protocols, and tools enabling software programs to interact and communicate

Back

length()

Front

An R function that identifies the length attribute of an object

Back

vector

Front

A one dimensional data structure with all elements of the same basic type

Back

rownames()

Front

An R function that adds names to rows in a data structure

Back

as.vector()

Front

An R function that converts an object to a vector

Back

read.csv()

Front

An R function that reads in data in a saved .csv format and stores it as an object in R

Back

str()

Front

An R function that displays the internal structure of an R object

Back

complete.cases()

Front

An R function that finds the rows that are void of missing values in a two dimensional object

Back