Data manipulation

These are the available functions for data manipulation. See each function's help topic in the TIBCO Enterprise Runtime for R Language Reference for more information.

Function name	Title description
`->`	Assign a Name to an Object
`:`	Generate a Sequence
`@`	Extract Slot from an S4 Object
`<-`	Assign a Name to an Object
`<<-`	Assign a Name to an Object
`=`	Assign a Name to an Object
`.rowSums`	Row and Column Summaries
`.rowMeans`	Row and Column Summaries
`.colSums`	Row and Column Summaries
`.colMeans`	Row and Column Summaries
`abbreviate`	Generate Abbreviations
`addmargins`	Puts Arbitrary Margins on Multidimensional Tables or Arrays
`anyDuplicated`	Determine Duplicate Elements
`anyDuplicated.array`	Determine Duplicate Elements
`anyDuplicated.data.frame`	Determine Duplicate Elements
`anyDuplicated.default`	Determine Duplicate Elements
`anyDuplicated.matrix`	Determine Duplicate Elements
`append`	Insert or Merge Data
`arrayInd`	Find TRUE Values
`as.null`	The Null Object
`as.null.default`	The Null Object
`Assignment`	Assign a Name to an Object
`c`	Combine Values into a Vector or List
`c.Date`	Combine Values into a Vector or List
`c.POSIXct`	Combine Values into a Vector or List
`c.POSIXlt`	Combine Values into a Vector or List
`casefold`	Convert Case of Character Strings
`cbind`	Building a Matrix from Columns or Rows
`charmatch`	Partial Matching of Character Strings
`colMeans`	Row and Column Summaries
`colnames`	Column and Row Names
`colnames<-`	Column and Row Names
`colSums`	Row and Column Summaries
`cut.Date`	Create Factor by Cutting Date or POSIXt Object
`cut.POSIXt`	Create Factor by Cutting Date or POSIXt Object
`duplicated`	Determine Duplicate Elements
`duplicated.array`	Determine Duplicate Elements
`duplicated.data.frame`	Determine Duplicate Elements
`duplicated.default`	Determine Duplicate Elements
`duplicated.matrix`	Determine Duplicate Elements
`duplicated.POSIXlt`	Determine Duplicate Elements
`gregexpr`	Match Patterns in Strings
`grep`	Search for a Pattern in Text
`grepl`	Search for a Pattern in Text
`gsub`	Replace Part of a Character String
`head`	Get the First or Last Part of an Object
`ifelse`	Conditional Data Selection
`inverse.rle`	Run Length Encoding and Decoding
`is.na`	Not Available / Missing Values
`is.na.data.frame`	Not Available / Missing Values
`is.na.POSIXlt`	Not Available / Missing Values
`is.na<-`	Not Available / Missing Values
`is.na<-.default`	Not Available / Missing Values
`is.na<-.factor`	Not Available / Missing Values
`is.null`	The Null Object
`labels.dendrogram`	ID Numbers or Labels of the Leaves in a Dendrogram
`length`	Length of a Vector or List
`length.POSIXlt`	Length of a Vector or List
`mapply`	Apply a Function to Multiple List or Vector Arguments
`match`	Match Items against a Table
`merge`	Merge Two Datasets and Match Columns
`merge.data.frame`	Merge Two Datasets and Match Columns
`merge.default`	Merge Two Datasets and Match Columns
`NA`	Not Available / Missing Values
`NA_character_`	Not Available / Missing Values
`NA_complex_`	Not Available / Missing Values
`NA_integer_`	Not Available / Missing Values
`NA_real_`	Not Available / Missing Values
`na.action`	Handle Missing Values in Objects
`na.action.default`	Handle Missing Values in Objects
`na.exclude`	Handle Missing Values in Objects
`na.exclude.data.frame`	Handle Missing Values in Objects
`na.exclude.default`	Handle Missing Values in Objects
`na.fail`	Handle Missing Values in Objects
`na.fail.default`	Handle Missing Values in Objects
`na.omit`	Handle Missing Values in Objects
`na.omit.data.frame`	Handle Missing Values in Objects
`na.omit.default`	Handle Missing Values in Objects
`na.pass`	Handle Missing Values in Objects
`NaN`	Not Available / Missing Values
`napredict`	Adjust for Missing Values
`napredict.default`	Adjust for Missing Values
`napredict.exclude`	Adjust for Missing Values
`napredict.NULL`	Adjust for Missing Values
`naprint`	Print Missing Value Information
`naprint.default`	Print Missing Value Information
`naprint.exclude`	Print Missing Value Information
`naprint.omit`	Print Missing Value Information
`naresid`	Adjust for Missing Values
`naresid.default`	Adjust for Missing Values
`naresid.exclude`	Adjust for Missing Values
`naresid.NULL`	Adjust for Missing Values
`NLSstAsymptotic`	Fit the Asymptotic Regression Model
`NLSstAsymptotic.sortedXyData`	Fit the Asymptotic Regression Model
`NLSstClosestX`	Inverse Interpolation
`NLSstClosestX.sortedXyData`	Inverse Interpolation
`NLSstLfAsymptote`	Horizontal Asymptote on the Left Side
`NLSstLfAsymptote.sortedXyData`	Horizontal Asymptote on the Left Side
`NLSstRtAsymptote`	Horizontal Asymptote on the Right Side
`NLSstRtAsymptote.sortedXyData`	Horizontal Asymptote on the Right Side
`NULL`	The Null Object
`order`	Vector of Indices That Sort Data
`order.dendrogram`	ID Numbers or Labels of the Leaves in a Dendrogram
`paste`	Concatenate Data to Make Character Data
`pmatch`	Partial Matching of Character Items in a Vector
`print.rle`	Run Length Encoding and Decoding
`provideDimnames`	Dimnames Attribute of an Object
`rbind`	Building a Matrix from Columns or Rows
`regexec`	Search for a Pattern in Text
`regexpr`	Match Patterns in Strings
`reorder.dendrogram`	Reorder a Dendrogram
`rep`	Replicate Data Values
`rep_len`	Replicate Data Values
`rep.Date`	Replicate Data Values
`rep.default`	Replicate Data Values
`rep.factor`	Replicate Data Values
`rep.int`	Replicate Data Values
`rep.POSIXct`	Replicate Data Values
`rep.POSIXlt`	Replicate Data Values
`replace`	Insert or Merge Data
`reshape`	Reshape Grouped Data
`rev`	Reverse the Order of an Object
`rev.default`	Reverse the Order of an Object
`rle`	Run Length Encoding and Decoding
`row.names`	Row Names Attribute
`row.names.data.frame`	Row Names Attribute
`row.names<-`	Row Names Attribute
`row.names<-.data.frame`	Row Names Attribute
`rowMeans`	Row and Column Summaries
`rownames`	Column and Row Names
`rownames<-`	Column and Row Names
`rowsum`	Group Row Sums of a Matrix
`rowsum.default`	Group Row Sums of a Matrix
`rowSums`	Row and Column Summaries
`seq`	Generate a Sequence
`seq_along`	Generate a Sequence
`seq_len`	Generate a Sequence
`seq.Date`	Sequences of Date-Times
`seq.default`	Generate a Sequence
`seq.int`	Generate a Sequence
`seq.POSIXt`	Sequences of Date-Times
`sequence`	Create A Vector of Sequences
`sort`	Sort into Numeric or Alphabetic Order
`sort.default`	Sort into Numeric or Alphabetic Order
`sort.int`	Sort into Numeric or Alphabetic Order
`sort.list`	Vector of Indices That Sort Data
`sort.POSIXlt`	Sort into Numeric or Alphabetic Order
`split`	Split Data by Groups
`split.data.frame`	Split Data by Groups
`split.Date`	Split Data by Groups
`split.default`	Split Data by Groups
`split.POSIXct`	Split Data by Groups
`split<-`	Split Data by Groups
`split<-.data.frame`	Split Data by Groups
`split<-.default`	Split Data by Groups
`strsplit`	Split the Elements of a Character Vector
`structure`	An Object with Given Attributes
`sub`	Replace Part of a Character String
`subset`	Subsetting Vectors, Matrices and Data Frames
`subset.data.frame`	Subsetting Vectors, Matrices and Data Frames
`subset.default`	Subsetting Vectors, Matrices and Data Frames
`subset.matrix`	Subsetting Vectors, Matrices and Data Frames
`tail`	Get the First or Last Part of an Object
`tolower`	Convert Case of Character Strings
`toupper`	Convert Case of Character Strings
`transform`	Transform an Object to a Data Frame Object
`transform.data.frame`	Transform an Object to a Data Frame Object
`transform.default`	Transform an Object to a Data Frame Object
`unique`	Unique Values
`unique.array`	Unique Values
`unique.data.frame`	Unique Values
`unique.default`	Unique Values
`unique.matrix`	Unique Values
`unique.POSIXlt`	Unique Values
`unlist`	Simplify the Structure of a List
`unname`	Remove "names" or "dimnames"
`unsplit`	Split Data by Groups
`Vectorize`	Apply a Function to Multiple List or Vector Arguments
`which`	Find TRUE Values
`zapsmall`	Coerce Small Numbers to Zero for Printing