Advanced and Fast Data Transformation |
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Fast Statistical FunctionsFast (grouped and weighted) statistical functions for vector, matrix, data frame and grouped tibble (class ‘grouped_df’, dplyr compatible). |
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Fast (Grouped, Weighted) Statistical Functions for Matrix-Like Objects |
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Fast (Grouped, Weighted) Mean for Matrix-Like Objects |
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Fast (Grouped, Weighted) N'th Element/Quantile for Matrix-Like Objects |
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Fast (Grouped, Weighted) Statistical Mode for Matrix-Like Objects |
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Fast (Grouped, Weighted) Sum for Matrix-Like Objects |
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Fast (Grouped, Weighted) Product for Matrix-Like Objects |
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Fast (Grouped, Weighted) Variance and Standard Deviation for Matrix-Like Objects |
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Fast (Grouped) Maxima and Minima for Matrix-Like Objects |
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Fast (Grouped) First and Last Value for Matrix-Like Objects |
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Fast (Grouped) Observation Count for Matrix-Like Objects |
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Fast (Grouped) Distinct Value Count for Matrix-Like Objects |
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Fast Grouping and OrderingFast (ordered) groupings from vectors, data.frames, lists. Fast ordering, unique values / rows and counts, factor generation and interactions, run-length type grouping and grouping of time-sequences. |
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Fast Grouping and Ordering |
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Fast Grouping / collapse Grouping Objects |
Fast Radix-Based Ordering |
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Fast Hash-Based Grouping |
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Fast Unique Elements / Rows |
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Efficiently Count Observations by Group |
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Fast Factor Generation, Interactions and Vector Grouping |
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Fast Removal of Unused Factor Levels |
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Generate Run-Length Type Group-Id |
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Generate Group-Id from Integer Sequences |
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Generate Integer-Id From Time/Date Sequences |
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Fast Data ManipulationFast and flexible select, replace, add, subset, transform, sort / reorder and rename / relabel data / data frame columns. |
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Fast Data Manipulation |
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Fast Select, Replace or Add Data Frame Columns |
Fast Subsetting Matrix-Like Objects |
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Fast Summarise |
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Fast Transform and Compute Columns on a Data Frame |
Apply Functions Across Multiple Columns |
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Fast Reordering of Data Frame Rows |
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Fast Reordering of Data Frame Columns |
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Fast Renaming and Relabelling Objects |
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Quick Data ConversionQuick conversions between data.frame’s, data.table’s, tibbles, matrices, arrays, lists, vectors and factors - fast and flexible, without method dispatch or extensive checks. |
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Quick Data Conversion |
Fast Factor Generation, Interactions and Vector Grouping |
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Advanced Data AggregationFast and easy multi-data-type, multi-function, weighted and parallelized data aggregation. |
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Advanced Data Aggregation |
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Data TransformationsFast row / column arithmetic, efficient row / column apply to data objects and Split-Apply-Combine computing. Fast (grouped, weighted) replacing and sweeping out of statistics, scaling / standardizing, (quasi-)centering, higher-dimensional centering, linear prediction / partialling-out. |
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Data Transformations |
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Fast Row/Column Arithmetic for Matrix-Like Objects |
Data Apply |
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Split-Apply-Combine Computing |
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Transform Data by (Grouped) Replacing or Sweeping out Statistics |
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Fast (Grouped, Weighted) Scaling and Centering of Matrix-like Objects |
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Fast Between (Averaging) and (Quasi-)Within (Centering) Transformations |
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Higher-Dimensional Centering and Linear Prediction |
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Linear ModelsFast (weighted) linear model fitting. A fast F-test for high-dimensional linear models. |
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Fast (Weighted) Linear Model Fitting |
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Fast (Weighted) F-test for Linear Models (with Factors) |
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Time Series and Panel SeriesFast and flexible indexed time series and panel data classes. Fast (sequences of) lags / leads, and (lagged / leaded, iterated, quasi-, log-) differences and (compounded) growth rates on (irregular) time series and panel data. Auto-, partial- and cross-correlation functions for panel data. Panel data to (ts-)array conversion. |
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Time Series and Panel Series |
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Fast Indexed Time Series and Panels |
Generate Integer-Id From Time/Date Sequences |
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Fast Lags and Leads for Time Series and Panel Data |
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Fast (Quasi-, Log-) Differences for Time Series and Panel Data |
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Fast Growth Rates for Time Series and Panel Data |
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Fast (Grouped, Ordered) Cumulative Sum for Matrix-Like Objects |
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Auto- and Cross- Covariance and Correlation Function Estimation for Panel Series |
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Matrix / Array from Panel Series |
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List ProcessingRecursive list search, splitting, extraction/subsetting, apply, and generalized row-binding / unlisting to data frame. |
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List Processing |
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Unlistable Lists |
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Determine the Depth / Level of Nesting of a List |
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Find and Extract / Subset List Elements |
Fast (Recursive) Splitting |
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Efficient List Transpose |
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Recursively Apply a Function to a List of Data Objects |
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Recursive Row-Binding / Unlisting in 2D - to Data Frame |
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Summary StatisticsFast (grouped, weighted, panel-decomposed) summary statistics and descriptive tools. |
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Summary Statistics |
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Fast (Grouped, Weighted) Summary Statistics for Cross-Sectional and Panel Data |
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Fast (Weighted) Cross Tabulation |
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Detailed Statistical Description of Data Frame |
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(Pairwise, Weighted) Correlations, Covariances and Observation Counts |
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Fast Check of Variation in Data |
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Other StatisticalFast euclidean distance computations, (weighted) sample quantiles, and range of vector. |
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Fast and Flexible Distance Computations |
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Fast (Weighted) Sample Quantiles and Range |
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Recode and Replace ValuesEfficiently recode and replace values in matrix-like objects. |
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Recode and Replace Values in Matrix-Like Objects |
Pad Matrix-Like Objects with a Value |
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(Memory) Efficient ProgrammingFunctions to make R programming more efficient. |
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Small Functions to Make R Programming More Efficient |
Small (Helper) FunctionsConvenience functions to perform multiple-assignment, nonstandard concatenation, and deal with variable names, labels, other attributes, matching and object checking, and help with metaprogramming. |
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Small (Helper) Functions |
DataGroningen Growth and Development Centre 10-Sector Database and World Bank World Development dataset. |
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Groningen Growth and Development Centre 10-Sector Database |
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World Development Dataset |
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Package OptionsGlobal options affecting package operation. |
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