Index
A
- Add... button / R and Excel
- aggregate function / Data manipulation using sqldf
- array
- about / Arrays
B
- Base R functions
- about / Character manipulation
- paste() / Character manipulation
- nchar() / Character manipulation
- substr() / Character manipulation
C
- character manipulation
- about / Character manipulation
- column-wise descriptive statistics / Column-wise descriptive statistics
- columns, dplyr
- adding / Adding new columns
- Comprehensive R Archive Network (CRAN)
- Coordinated Universal Time (UTC)
- about / Date processing using lubridate
D
- data
- acquiring / Acquiring data
- melting / Melting data
- manipulating, sqldf package used / Data manipulation using sqldf
- data frame
- about / Data frame
- dataset
- layout / Typical layout of a dataset, New layout of a dataset
- reshaping, from typical layout / Reshaping the dataset from the typical layout
- reshaping, reshape package used / Reshaping the dataset with the reshape package
- dataset layout
- identifier variables / Typical layout of a dataset
- measured variables / Typical layout of a dataset
- long layout / Long layout
- wide layout / Wide layout
- dbCreate function / The filehash package
- dbInit function / The filehash package
- dbList function / The filehash package
- dbLoad() command / The filehash package
- default functions
- used, for text processing / Text processing using default functions
- dplyr
- about / Introducing the plyr and dplyr libraries
- data manipulation / Powerful data manipulation with dplyr
- rows, slicing / Filtering and slicing rows
- rows, filtering / Filtering and slicing rows
- rows, arranging / Arranging rows
- columns, renaming / Selecting and renaming
- columns, selecting / Selecting and renaming
- new columns, adding / Adding new columns
- distinct rows, selecting / Selecting distinct rows
- column-wise descriptive statistics / Column-wise descriptive statistics
- group-wise operations / Group-wise operations
- chaining / Chaining
- dumpObjects utility / The filehash package
E
- Excel file
- about / R and Excel
- ODBC connection string, creating / R and Excel
F
- factor
- about / Factor and its types
- factor manipulation
- about / Factor manipulation
- ff package
- about / The ff package
- parts / The ff package
- high-level layer, dealing with / The ff package
- filehash package / The filehash package
G
- group-wise operations / Group-wise operations
L
- list object
- about / List
- lubridate
- used, for processing date / Date processing using lubridate
M
- matrices
- about / Matrices
- matrix operation
- about / Vector and matrix operations
- rules / Vector and matrix operations
- missing values
- in molten data / Missing values in molten data
- molten data
- missing values / Missing values in molten data
- casting / Casting molten data
- MS Access
- data, importing from / R and MS Access
- multi-argument functions
- about / Multiargument functions
N
- numeric variables
- factors / Factors from numeric variables
P
- plyr
- about / Introducing the plyr and dplyr libraries
- utilities / plyr's utilities
- function names / Intuitive function names in the plyr library
- input / Inputs and arguments
- arguments / Inputs and arguments
- multi-argument functions / Multiargument functions
- and R, comparing / Comparing base R and plyr
R
- R
- versions, getting / Getting different versions of R
- for Linux, URL / Getting different versions of R
- for Mac OS X, URL / Getting different versions of R
- for Windows, URL / Getting different versions of R, Installing R on different platforms
- installing, on different platforms / Installing R on different platforms
- libraries, installing / Installing and using R libraries
- libraries, using / Installing and using R libraries
- packages, manual download / Manually downloading and installing packages
- packages, installation / Manually downloading and installing packages
- package, installing from within R console / Installing packages within the R shell
- comparing, with other software / Comparing R with other software
- as enterprise solution / R as an enterprise solution
- commands, writing / Writing commands in R
- Data Types / R data types and basic operations
- Basic Operations / R data types and basic operations
- objects, classes / Modes and classes of R objects
- objects, modes / Modes and classes of R objects
- objects, structure / The R object structure and mode conversion
- objects, mode conversion / The R object structure and mode conversion
- missing values / Missing values in R
- and plyr, comparing / Comparing base R and plyr
- and Excel / R and Excel
- MS Access / R and MS Access
- relational databases / Relational databases in R
- sqldf package / R and sqldf
- read.csv.sql() function / Data manipulation using sqldf
- relational databases, R
- about / Relational databases in R
- filehash package / The filehash package
- ff package / The ff package
- reshape2 package
- about / The reshape2 package
- reshape package
- used, for reshaping dataset / Reshaping the dataset with the reshape package
- paper, URL / Missing values in molten data
- Revolution Analytics
- R objects
- objects, modes / Modes and classes of R objects
- rows, dplyr
- arranging / Arranging rows
S
- split-apply-combine strategy
- applying / Applying the split-apply-combine strategy
- sqldf package
- tasks, performing / R and sqldf
- used, for data manipulation / Data manipulation using sqldf
- stringr functions
- about / Character manipulation
- str_c() / Character manipulation
- str_length() / Character manipulation
- str_sub() / Character manipulation
- str_dup() / Character manipulation
- str_trim() / Character manipulation
- str_pad() / Character manipulation
- subscripting
- about / Subscripting and subsetting
- subsetting
- about / Subscripting and subsetting
T
- text
- processing, default functions used / Text processing using default functions
- text data
- about / Text data and its source
- getting / Getting text data
- Twitter data
- working with / Working with Twitter data
V
- vector
- about / Vector
- vector operation
- about / Vector and matrix operations
W
- Wickham
- with()function / The filehash package