Stack and Reshape Datasets After Splitting Concatenated Values

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Documentation for package ‘splitstackshape’ version 1.4.2

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splitstackshape-package splitstackshape
charMat Create a Binary Matrix from a List of Character Values
concat.split Split Concatenated Cells in a Dataset
concat.split.compact Split Concatenated Cells into a Condensed Format
concat.split.expanded Split Concatenated Values into their Corresponding Column Position
concat.split.list Split Concatenated Cells into a List Format
concat.split.multiple Split Concatenated Cells and Optionally Reshape the Output
concat.test Example Dataset with Concatenated Cells
concatenated Example Dataset with Concatenated Cells
cSplit Split Concatenated Values into Separate Values
cSplit_e Split Concatenated Values into their Corresponding Column Position
cSplit_f Split Concatenated Cells in a data.frame or a data.table
cSplit_l Split Concatenated Cells into a List Format
expandRows Expand the Rows of a Dataset
FacsToChars Convert All Factor Columns to Character Columns
getanID Add an "id" Variable to a Dataset
listCol_l Unlist a Column Stored as a List
listCol_w Flatten a Column Stored as a List
merged.stack Take a List of Stacked data.tables and Merge Them
Names Dataset Names as a Character Vector, Always
NoSep Split Basic Alphanumeric Strings Which Have No Separators
numMat Create a Numeric Matrix from a List of Values
othernames Extract All Names From a Dataset Other Than the Ones Listed
read.concat Read Concatenated Character Vectors Into a data.frame
Reshape Reshape Wide Data Into a Semi-long Form
splitstackshape splitstackshape
Stacked Stack Columns from a Wide Form to a Long Form
stratified Take a Stratified Sample From a Dataset