Various R Programming Tools for Data Manipulation
Value of Last Evaluated Expression
Describe Function Arguments
Bind two data frames into a multivariate data frame
Map elements of a vector according to the provided 'cases'
Column-bind objects with different number of rows
Center Text Strings
Combine R Objects With a Column Labeling the Source
Convert medical measurements between International Standard (SI) and U...
Drop unused factor levels
Determine Duplicate Elements
Describe All Loaded Environments
Return first or last element of an object
Subset analysis on data frames
Defunct Functions in Package 'gdata'
Various R Programming Tools for Data Manipulation
Get date/time parts from date and time objects
Print Byte Size in Human Readable Format
Interleave Rows of Data Frames or Matrices
Run Multiple is.* Tests on a Given Object
Remove All Objects, Except Those Specified
Return the leftmost or rightmost columns of a matrix or data frame
Describe Objects or Elements
List function objects
Mapping levels
Select columns names matching certain critera
Rename an Object
Compute the Number of Non-Missing Observations
Number of variable pairs
Report the Space Allocated for Objects
Remove or rename variables in a data frame
Reorder the Levels of a Factor
Consistent Random Samples and Permutations
Does String Start or End With Another String?
Remove leading and trailing spaces from character strings
Trim a vector such that the last/first value represents the sum of tri...
Change unknown values to NA and vice versa
Convert a matrix into a vector, with appropriate names
Update the elements of a list, or rows of a data frame
Extract or replace the upper/lower triangular portion of a matrix
Create multivariate data by a given factor
Write object to file in fixed width format
Various R programming tools for data manipulation, including medical unit conversions, combining objects, character vector operations, factor manipulation, obtaining information about R objects, generating fixed-width format files, extracting components of date & time objects, operations on columns of data frames, matrix operations, operations on vectors, operations on data frames, value of last evaluated expression, and a resample() wrapper for sample() that ensures consistent behavior for both scalar and vector arguments.