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base64enc::base64 Encode/decode data into/from base64 encoding
base64enc::checkUTF8 Check the validity of a byte stream ot be interpreted as UTF8.
base64enc::dataURI Create a data URI string
fastshp::as.shp Coerce objects to shapefiles
fastshp::centr Compute shape centroids and areas.
fastshp::inside Finds shapes that contain given points
fastshp::merge.tiles Merges adjacent tiles (polygons) where possible
fastshp::thin Thin out polyline/polygon by removing unneeded points.
hmapred::.default.formatter Default formatter for hmr
hmapred::hadoop Experimental Hadoop chunk-processing code
iotools::as.output Character Output
iotools::chunk Functions for very fast chunk-wise processing
iotools::chunk.apply Process input by applying a function to each chunk
iotools::chunk.map Map a function over a file by chunks
iotools::ctapply Fast tapply() replacement functions
iotools::.default.formatter Default formatter, coorisponding to the as.output functions
iotools::dstrfw Split fixed width input into a dataframe
iotools::dstrsplit Split binary or character input into a dataframe
iotools::fdrbind Fast row-binding of lists and data frames
iotools::input.file Load a file on the disk
iotools::line.merge Merge multiple sources
iotools::mstrsplit Split binary or character input into a matrix
iotools::output.file Write an R object to a file as a character string
iotools::read.csv.raw Fast data frame input
iotools::which.min.key Determine the next key in bytewise order
iotools::write.csv.raw Fast data output to disk
PKI::ASN1 Functions for handling ASN.1 format (typically DER)
PKI::BIGNUMint Functions for BIGNUM representation of arbitrarily precise integers
PKI::PKI.crypt PKI encryption/decryption functions
PKI::PKI.digest Compute digest sum based on SHA1, SHA256 or MD5 hash functions
PKI::PKI.genpass Generate cryptographically strong pseudo-random password.
PKI::PKI.random Generate cryptographically strong pseudo-random bytes.
PKI::PKI.sign PKI: sign content or verify a signature
PKI::PKI.sign.tar Functions for signing and verification of tar files
PKI::RSA PKI functions handling RSA keys
PKI::X509 Public Key Instraftructure (X509) functions
PKI::oid OBJECT IDENTIFIER Functions
PKI::raw2hex Convert raw vector to string hex representation
rcloud.support::rcloud.call.notebook Execute code contained in a notebook
rcloud.support::rcloud.download.file Cause the browser to download a file
rcloud.support::rcloud.encrypt Encrypt/decrypt objects
rcloud.support::rcloud.get.asset Access and execute notebook assets
rcloud.support::rcloud.home Get path in user's RCloud home directory
rcloud.support::rcloud.read.pem Read and write encrypted content in PEM format
rcloud.support::rcloud.session.log Send a string to the session pane.
rcloud.support::rcloud.session.notebook Access notebook currently loaded in the session
rcloud.support::rcloud.upload.path Get file upload location.
rcloud.support::start.rcloud Functions to setup RCloud sessions
rcloud.web::rcw.collect Collect a FastRWeb result so it can be set as a content.
rcloud.web::rcw.result Create an RCloudWeb result for display
rcloud.web::rcw.append DOM element manipulation functions
rcloud.web::rcw.url Retrieve properties from the current document
Rcpp::populate Populates a namespace or an environment with the content of a module
RCurl::getBitIndicators Operate on bit fields
RCurl::merge.list Method for merging two lists by name
Rserve::Rserve.eval Evaluate expressions in a REPL-like fashion
snippets::osm.xy2ll Tools converting from lat/lon coordinates to OSM tiles and back.
ulog::ulog System logging functions
uuid::UUID UUID Data Type
uuid::UUIDgenerate UUID Functions
yaml::as.yaml Convert an R object into a YAML string
yaml::read_yaml Read a YAML file
yaml::verbatim_logical Alternative logical handler
yaml::write_yaml Write a YAML file
yaml::yaml.load Convert a YAML string into R objects
abind::abind Combine multi-dimensional arrays
abind::acorn Return a corner of an array object (like head)
abind::adrop Drop dimensions of an array object
abind::afill Fill an array with subarrays
abind::asub Arbitrary subsetting of array-like objects at specified indices
bit::Sorting Generics for in-RAM sorting and ordering
bit::vecseq Vectorized Sequences
bit64::as.character.integer64 Coerce from integer64
bit64::as.data.frame.integer64 integer64: Coercing to data.frame column
bit64::as.integer64 Coerce to integer64
bit64::bit64-package A S3 class for vectors of 64bit integers
bit64::c.integer64 Concatenating integer64 vectors
bit64::cummin.integer64 Cumulative Sums, Products, Extremes and lagged differences
bit64::duplicated.integer64 Determine Duplicate Elements of integer64
bit64::[.integer64 Extract or Replace Parts of an integer64 vector
bit64::format.integer64 Unary operators and functions for integer64 vectors
bit64::hashfun Hashing for 64bit integers
bit64::identical.integer64 Identity function for class 'integer64'
bit64::keypos Extract Positions in redundant dimension table
bit64::match.integer64 64-bit integer matching
bit64::plusclass integer64: Maintaining S3 class attribute
bit64::ramsort.integer64 Low-level intger64 methods for in-RAM sorting and ordering
bit64::rep.integer64 Replicate elements of integer64 vectors
bit64::seq.integer64 integer64: Sequence Generation
bit64::sort.integer64 High-level intger64 methods for sorting and ordering
bit64::sortnut Searching and other uses of sorting for 64bit integers
bit64::all.integer64 Summary functions for integer64 vectors
bit64::tiepos Extract Positions of Tied Elements
bit64::unipos Extract Positions of Unique Elements
bit64::unique.integer64 Extract Unique Elements from integer64
bit64::&.integer64 Binary operators for integer64 vectors
car::Tapply Apply a Function to a Variable Within Factor Levels
car::boxCoxVariable Constructed Variable for Box-Cox Transformation
car::brief Print Abbreviated Ouput
car::logit Logit Transformation
car::recode Recode a Variable
car::strings2factors Convert Character-String Variables in a Data Frame to Factors
e1071::impute Replace Missing Values
e1071::matchControls Find Matched Control Group
FNN::KL.dist Kullback-Leibler Divergence
FNN::KL.divergence Kullback-Leibler Divergence
FNN::crossentropy Cross Entropy
FNN::entropy Shannon Entropy
FNN::get.knn Search Nearest Neighbors
FNN::knn.dist k Nearest Neighbor Distances
FNN::knn.index Search Nearest Neighbors
FNN::mutinfo Mutual Information
hexbin::hcell2xy Compute X and Y Coordinates for Hexagon Cells
igraph::running_mean Running mean of a time series
lubridate::DateTimeUpdate Changes the components of a date object
lubridate::as.duration Change an object to a duration
lubridate::as.interval Change an object to an 'interval'
lubridate::as.period Change an object to a period
lubridate::date Get/set date component of a date-time
lubridate::date_decimal Converts a decimal to a date
lubridate::day Get/set days component of a date-time
lubridate::decimal_date Converts a date to a decimal of its year
lubridate::force_tz Replace time zone to create new date-time
lubridate::hour Get/set hours component of a date-time
lubridate::minute Get/set minutes component of a date-time
lubridate::month Get/set months component of a date-time
lubridate::round_date Round, floor and ceiling methods for date-time objects
lubridate::second Get/set seconds component of a date-time
lubridate::tz Get/set time zone component of a date-time
lubridate::week Get/set weeks component of a date-time
lubridate::with_tz Get date-time in a different time zone
lubridate::year Get/set years component of a date-time
maptools::as.linnet.SpatialLines Convert SpatialLines to Linear Network
maptools::crepuscule Methods for sun ephemerides calculations
mitools::MIcombine Multiple imputation inference
mitools::MIextract Extract a parameter from a list of results
mitools::imputationList Constructor for imputationList objects
mitools::with.imputationList Evaluate an expression in multiple imputed datasets
pbapply::pbapply Adding Progress Bar to '*apply' Functions
plyr::a_ply Split array, apply function, and discard results.
plyr::aaply Split array, apply function, and return results in an array.
plyr::adply Split array, apply function, and return results in a data frame.
plyr::alply Split array, apply function, and return results in a list.
plyr::arrange Order a data frame by its colums.
plyr::as.data.frame.function Make a function return a data frame.
plyr::compact Compact list.
plyr::count Count the number of occurences.
plyr::d_ply Split data frame, apply function, and discard results.
plyr::daply Split data frame, apply function, and return results in an array.
plyr::ddply Split data frame, apply function, and return results in a data frame.
plyr::defaults Set defaults.
plyr::desc Descending order.
plyr::dlply Split data frame, apply function, and return results in a list.
plyr::each Aggregate multiple functions into a single function.
plyr::idata.frame Construct an immutable data frame.
plyr::join Join two data frames together.
plyr::l_ply Split list, apply function, and discard results.
plyr::laply Split list, apply function, and return results in an array.
plyr::ldply Split list, apply function, and return results in a data frame.
plyr::liply Experimental iterator based version of llply.
plyr::llply Split list, apply function, and return results in a list.
plyr::loop_apply Loop apply
plyr::m_ply Call function with arguments in array or data frame, discarding results.
plyr::maply Call function with arguments in array or data frame, returning an array.
plyr::mdply Call function with arguments in array or data frame, returning a data frame.
plyr::mlply Call function with arguments in array or data frame, returning a list.
plyr::name_rows Toggle row names between explicit and implicit.
plyr::r_ply Replicate expression and discard results.
plyr::raply Replicate expression and return results in a array.
plyr::rbind.fill Combine data.frames by row, filling in missing columns.
plyr::rbind.fill.matrix Bind matrices by row, and fill missing columns with NA.
plyr::rdply Replicate expression and return results in a data frame.
plyr::rlply Replicate expression and return results in a list.
plyr::round_any Round to multiple of any number.
plyr::split_indices Split indices.
plyr::summarise Summarise a data frame.
plyr::take Take a subset along an arbitrary dimension
quantreg::dither Function to randomly perturb a vector
R.utils::dataFrame.default Allocates a data frame with given column classes
R.utils::format.binmode Converts a binary/octal/hexadecimal number into a string
R.utils::insert.default Insert values to a vector at certain positions
R.utils::intToBin Converts an integer to a binary/octal/hexadecimal number
reshape::cast Cast function
reshape::colsplit Split a vector into multiple columns
reshape::combine_factor Combine factor levels
reshape::condense.df Condense a data frame
reshape::condense Condense
reshape::expand.grid.df Expand grid
reshape::expand Expand
reshape::funstofun Aggregate multiple functions into a single function
reshape::melt Melt
reshape::melt.array Melt an array
reshape::melt.data.frame Melt a data frame
reshape::merge_all Merge all
reshape::namerows Name rows
reshape::recast Recast
reshape::rename Rename
reshape::rescaler Rescaler
reshape::sort_df Sort data frame
reshape::stamp Stamp
reshape::uniquedefault Unique default
reshape::untable Untable a dataset
reshape2::cast Cast functions Cast a molten data frame into an array or data frame.
reshape2::colsplit Split a vector into multiple columns
reshape2::margins Figure out margining variables.
reshape2::melt Convert an object into a molten data frame.
reshape2::melt.array Melt an array.
reshape2::melt.data.frame Melt a data frame into form suitable for easy casting.
reshape2::melt.default Melt a vector. For vectors, makes a column of a data frame
reshape2::melt.list Melt a list by recursively melting each component.
reshape2::recast Recast: melt and cast in a single step
rgeos::SpatialCollections create SpatialCollections
rgeos::Ring create SpatialRings or SpatialRingsDataFrame
scales::rescale Rescale continuous vector to have specified minimum and maximum
sp::SpatialLines create objects of class SpatialLines or SpatialLinesDataFrame
sp::SpatialMultiPoints create objects of class SpatialMultiPoints or SpatialMultiPointsDataFrame
sp::SpatialPoints create objects of class SpatialPoints or SpatialPointsDataFrame
sp::SpatialPolygons create objects of class SpatialPolygons or SpatialPolygonsDataFrame
sp::coordinates set spatial coordinates to create a Spatial object, or retrieve spatial coordinates from a Spatial object
sp::gridIndex2nb create neighbourhood (nb) object from grid geometry
sp::point.in.polygon do point(s) fall in a given polygon?
sp::polygons<- sets spatial coordinates to create spatial data, or retrieves spatial coordinates
sp::getSpPPolygonsIDSlots Deprecated functions in sp
sp::spsample-methods sample point locations in (or on) a spatial object
survey::as.fpc Package sample and population size data
survey::as.svydesign2 Update to the new survey design format
survey::calibrate.survey.design2 Calibration (GREG) estimators
survey::compressWeights Compress replicate weight matrix
survey::dimnames.DBIsvydesign Dimensions of survey designs
survey::estWeights Estimated weights for missing data
survey::ftable.svystat Lay out tables of survey statistics
survey::nonresponse Experimental: Construct non-response weights
survey::postStratify Post-stratify a survey
survey::rake Raking of replicate weight design
survey::subset.survey.design Subset of survey
survey::svyby Survey statistics on subsets
survey::svydesign Survey sample analysis.
survey::update.survey.design Add variables to a survey design
zoo::MATCH Value Matching
zoo::ORDER Ordering Permutation
base::append Vector Merging
base::c Combine Values into a Vector or List
base::cbind Combine R Objects by Rows or Columns
base::rownames Row and Column Names
base::: Colon Operator
base::cut.POSIXt Convert a Date or Date-Time Object to a Factor
base::deparse Expression Deparsing
base::dimnames Dimnames of an Object
base::duplicated Determine Duplicate Elements
base::grouping Grouping Permutation
base::list Lists - Generic and Dotted Pairs
base::mapply Apply a Function to Multiple List or Vector Arguments
base::match Value Matching
base::merge Merge Two Data Frames
base::NA 'Not Available' / Missing Values
base::NULL The Null Object
base::order Ordering Permutation
base::rep Replicate Elements of Vectors and Lists
base::replace Replace Values in a Vector
base::rev Reverse Elements
base::rle Run Length Encoding
base::rowsum Give Column Sums of a Matrix or Data Frame, Based on a Grouping Variable
base::seq.Date Generate Regular Sequences of Dates
base::seq.POSIXt Generate Regular Sequences of Times
base::seq Sequence Generation
base::sequence Create A Vector of Sequences
base::@ Extract or Replace A Slot
base::sort Sorting or Ordering Vectors
base::structure Attribute Specification
base::subset Subsetting Vectors, Matrices and Data Frames
base::transform Transform an Object, for Example a Data Frame
base::unique Extract Unique Elements
base::unlist Flatten Lists
base::Vectorize Vectorize a Scalar Function
base::xtfrm Auxiliary Function for Sorting and Ranking
Matrix::abIseq Sequence Generation of "abIndex", Abstract Index Vectors
Matrix::cBind 'cbind()' and 'rbind()' recursively built on cbind2/rbind2
Matrix::mat2triplet Map Matrix to its Triplet Representation
Matrix::rep2abI Replicate Vectors into 'abIndex' Result
methods::cbind2 Combine two Objects by Columns or Rows
nlme::asTable Convert groupedData to a matrix
nlme::groupedData Construct a groupedData Object
nlme::gsummary Summarize by Groups
stats::addmargins Puts Arbitrary Margins on Multidimensional Tables or Arrays
stats::expand.model.frame Add new variables to a model frame
stats::getInitial Get Initial Parameter Estimates
stats::model.extract Extract Components from a Model Frame
stats::NLSstAsymptotic Fit the Asymptotic Regression Model
stats::NLSstClosestX Inverse Interpolation
stats::NLSstLfAsymptote Horizontal Asymptote on the Left Side
stats::NLSstRtAsymptote Horizontal Asymptote on the Right Side
stats::order.dendrogram Ordering or Labels of the Leaves in a Dendrogram
stats::reorder.dendrogram Reorder a Dendrogram
stats::reshape Reshape Grouped Data
stats::sortedXyData Create a 'sortedXyData' Object
survival::neardate Find the index of the closest value in data set 2, for each entry in data set one.
utils::hasName Check for Name
utils::head Return the First or Last Parts of an Object
utils::relist Allow Re-Listing an unlist()ed Object
utils::stack Stack or Unstack Vectors from a Data Frame or List
utils::type.convert Convert Data to Appropriate Type