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"data-transformations" ] }, { "page": "descr", "title": "Detailed Statistical Description of Data Frame", "topics": [ "as.data.frame.descr", "descr", "descr.default", "descr.grouped_df", "print.descr", "[.descr" ] }, { "page": "efficient-programming", "title": "Small Functions to Make R Programming More Efficient", "topics": [ "%!=%", "%*=%", "%+=%", "%-=%", "%/=%", "%==%", "AA2-efficient-programming", "allNA", "alloc", "allv", "anyv", "cinv", "copyv", "efficient-programming", "fdim", "fncol", "fnlevels", "fnrow", "missing_cases", "na_focb", "na_insert", "na_locf", "na_omit", "na_rm", "seq_col", "seq_row", "setop", "setv", "vec", "vgcd", "vlengths", "vtypes", "whichNA", "whichv" ] }, { "page": "fast-data-manipulation", "title": "Fast Data Manipulation", "topics": [ "A3-fast-data-manipulation", "fast-data-manipulation" ] }, { "page": "fast-grouping-ordering", "title": "Fast Grouping and Ordering", "topics": [ "A2-fast-grouping-ordering", "fast-grouping-ordering" ] }, { "page": "fast-statistical-functions", "title": "Fast (Grouped, Weighted) Statistical Functions for Matrix-Like Objects", "topics": [ ".FAST_FUN", ".FAST_STAT_FUN", "A1-fast-statistical-functions", "fast-statistical-functions" ] }, { "page": "fbetween_fwithin", "title": "Fast Between (Averaging) and (Quasi-)Within (Centering) Transformations", "topics": [ "B", "B.data.frame", "B.default", "B.grouped_df", "B.matrix", "B.pdata.frame", "B.pseries", "fbetween", "fbetween.data.frame", "fbetween.default", "fbetween.grouped_df", "fbetween.matrix", "fbetween.pdata.frame", "fbetween.pseries", "fwithin", "fwithin.data.frame", "fwithin.default", "fwithin.grouped_df", "fwithin.matrix", "fwithin.pdata.frame", "fwithin.pseries", "W", "W.data.frame", "W.default", "W.grouped_df", "W.matrix", "W.pdata.frame", "W.pseries" ] }, { "page": "fcount", "title": "Efficiently Count Observations by Group", "topics": [ "fcount", "fcountv" ] }, { "page": "fcumsum", "title": "Fast (Grouped, Ordered) Cumulative Sum for Matrix-Like Objects", "topics": [ "fcumsum", "fcumsum.data.frame", "fcumsum.default", "fcumsum.grouped_df", "fcumsum.matrix", "fcumsum.pdata.frame", "fcumsum.pseries" ] }, { "page": "fdiff", "title": "Fast (Quasi-, Log-) Differences for Time Series and Panel Data", "topics": [ "D", "D.data.frame", "D.default", "D.grouped_df", "D.list", "D.matrix", "D.pdata.frame", "D.pseries", "Dlog", "Dlog.data.frame", "Dlog.default", "Dlog.grouped_df", "Dlog.list", "Dlog.matrix", "Dlog.pdata.frame", "Dlog.pseries", "fdiff", "fdiff.data.frame", "fdiff.default", "fdiff.grouped_df", "fdiff.list", "fdiff.matrix", "fdiff.pdata.frame", "fdiff.pseries" ] }, { "page": "fdist", "title": "Fast and Flexible Distance Computations", "topics": [ "fdist" ] }, { "page": "fdroplevels", "title": "Fast Removal of Unused Factor Levels", "topics": [ "fdroplevels", "fdroplevels.data.frame", "fdroplevels.factor" ] }, { "page": "ffirst_flast", "title": "Fast (Grouped) First and Last Value for Matrix-Like Objects", "topics": [ "ffirst", "ffirst.data.frame", "ffirst.default", "ffirst.grouped_df", "ffirst.matrix", "flast", "flast.data.frame", "flast.default", "flast.grouped_df", "flast.matrix" ] }, { "page": "fFtest", "title": "Fast (Weighted) F-test for Linear Models (with Factors)", "topics": [ "fFtest", "fFtest.default", "fFtest.formula" ] }, { "page": "fgrowth", "title": "Fast Growth Rates for Time Series and Panel Data", "topics": [ "fgrowth", "fgrowth.data.frame", "fgrowth.default", "fgrowth.grouped_df", "fgrowth.list", "fgrowth.matrix", "fgrowth.pdata.frame", "fgrowth.pseries", "G", "G.data.frame", "G.default", "G.grouped_df", "G.list", "G.matrix", "G.pdata.frame", "G.pseries" ] }, { "page": "fhdbetween_fhdwithin", "title": "Higher-Dimensional Centering and Linear Prediction", "topics": [ "fhdbetween", "fhdbetween.data.frame", "fhdbetween.default", "fhdbetween.matrix", "fhdbetween.pdata.frame", "fhdbetween.pseries", "fhdwithin", "fhdwithin.data.frame", "fhdwithin.default", "fhdwithin.matrix", "fhdwithin.pdata.frame", "fhdwithin.pseries", "HDB", "HDB.data.frame", "HDB.default", "HDB.matrix", "HDB.pdata.frame", "HDB.pseries", "HDW", "HDW.data.frame", "HDW.default", "HDW.matrix", "HDW.pdata.frame", "HDW.pseries" ] }, { "page": "flag", "title": "Fast Lags and Leads for Time Series and Panel Data", "topics": [ "F", "F.data.frame", "F.default", "F.grouped_df", "F.matrix", "F.pdata.frame", "F.pseries", "flag", "flag.data.frame", "flag.default", "flag.grouped_df", "flag.matrix", "flag.pdata.frame", "flag.pseries", "L", "L.data.frame", "L.default", "L.grouped_df", "L.matrix", "L.pdata.frame", "L.pseries" ] }, { "page": "flm", "title": "Fast (Weighted) Linear Model Fitting", "topics": [ "flm", "flm.default", "flm.formula" ] }, { "page": "fmatch", "title": "Fast Matching", "topics": [ "%!iin%", "%!in%", "%iin%", "ckmatch", "fmatch" ] }, { "page": "fmean", "title": "Fast (Grouped, Weighted) Mean for Matrix-Like Objects", "topics": [ "fmean", "fmean.data.frame", "fmean.default", "fmean.grouped_df", "fmean.matrix" ] }, { "page": "fmin_fmax", "title": "Fast (Grouped) Maxima and Minima for Matrix-Like Objects", "topics": [ "fmax", "fmax.data.frame", "fmax.default", "fmax.grouped_df", "fmax.matrix", "fmin", "fmin.data.frame", "fmin.default", "fmin.grouped_df", "fmin.matrix" ] }, { "page": "fmode", "title": "Fast (Grouped, Weighted) Statistical Mode for Matrix-Like Objects", "topics": [ "fmode", "fmode.data.frame", "fmode.default", "fmode.grouped_df", "fmode.matrix" ] }, { "page": "fndistinct", "title": "Fast (Grouped) Distinct Value Count for Matrix-Like Objects", "topics": [ "fndistinct", "fndistinct.data.frame", "fndistinct.default", "fndistinct.grouped_df", "fndistinct.matrix" ] }, { "page": "fnobs", "title": "Fast (Grouped) Observation Count for Matrix-Like Objects", "topics": [ "fnobs", "fnobs.data.frame", "fnobs.default", "fnobs.grouped_df", "fnobs.matrix" ] }, { "page": "fnth_fmedian", "title": "Fast (Grouped, Weighted) N'th Element/Quantile for Matrix-Like 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"STD.pseries" ] }, { "page": "select_replace_vars", "title": "Fast Select, Replace or Add Data Frame Columns", "topics": [ "add_vars", "add_vars<-", "av", "av<-", "cat_vars", "cat_vars<-", "char_vars", "char_vars<-", "date_vars", "date_vars<-", "fact_vars", "fact_vars<-", "fselect", "fselect<-", "get_vars", "get_vars<-", "gv", "gv<-", "gvr", "gvr<-", "logi_vars", "logi_vars<-", "num_vars", "num_vars<-", "nv", "nv<-", "slt", "slt<-" ] }, { "page": "fslice", "title": "Fast Slicing of Matrix-Like Objects", "topics": [ "fslice", "fslicev" ] }, { "page": "fsubset", "title": "Fast Subsetting Matrix-Like Objects", "topics": [ "fsubset", "fsubset.data.frame", "fsubset.default", "fsubset.matrix", "fsubset.pdata.frame", "fsubset.pseries", "sbt", "ss" ] }, { "page": "fsum", "title": "Fast (Grouped, Weighted) Sum for Matrix-Like Objects", "topics": [ "fsum", "fsum.data.frame", "fsum.default", "fsum.grouped_df", "fsum.matrix" ] }, { "page": "fsummarise", "title": "Fast Summarise", "topics": [ "fsummarise", "fsummarize", "smr" ] }, { "page": "ftransform", "title": "Fast Transform and Compute Columns on a Data Frame", "topics": [ "fcompute", "fcomputev", "fmutate", "ftransform", "ftransform<-", "ftransformv", "mtt", "settfm", "settfmv", "settransform", "settransformv", "tfm", "tfm<-", "tfmv" ] }, { "page": "funique", "title": "Fast Unique Elements / Rows", "topics": [ "any_duplicated", "fduplicated", "fnunique", "funique", "funique.data.frame", "funique.default", "funique.pdata.frame", "funique.pseries", "funique.sf" ] }, { "page": "fvar_fsd", "title": "Fast (Grouped, Weighted) Variance and Standard Deviation for Matrix-Like Objects", "topics": [ "fsd", "fsd.data.frame", "fsd.default", "fsd.grouped_df", "fsd.matrix", "fvar", "fvar.data.frame", "fvar.default", "fvar.grouped_df", "fvar.matrix" ] }, { "page": "extract_list", "title": "Find and Extract / Subset List Elements", "topics": [ "atomic_elem", "atomic_elem<-", "get_elem", "has_elem", "irreg_elem", "list_elem", "list_elem<-", "reg_elem" ] }, { "page": "GGDC10S", "title": "Groningen Growth and Development Centre 10-Sector Database", "topics": [ "GGDC10S" ] }, { "page": "group", "title": "Fast Hash-Based Grouping", "topics": [ "group", "groupv" ] }, { "page": "groupid", "title": "Generate Run-Length Type Group-Id", "topics": [ "groupid" ] }, { "page": "GRP", "title": "Fast Grouping / _collapse_ Grouping Objects", "topics": [ "as_factor_GRP", "fgroup_by", "fgroup_vars", "fungroup", "gby", "greorder", "group_by_vars", "GRP", "GRP.default", "GRP.factor", "GRP.grouped_df", "GRP.GRP", "GRP.pdata.frame", "GRP.pseries", "GRP.qG", "GRPid", "GRPN", "GRPnames", "gsplit", "is_GRP", "length.GRP", "plot.GRP", "print.GRP" ] }, { "page": "indexing", "title": "Fast Indexed Time Series and Panels", "topics": [ "$.indexed_frame", "$<-.indexed_frame", "findex", "findex_by", "iby", "indexing", "is_irregular", "ix", "print.index_df", "reindex", "to_plm", "unindex", "[.indexed_frame", "[.indexed_series", "[.index_df", "[<-.indexed_frame", "[[.indexed_frame", "[[<-.indexed_frame" ] }, { "page": "is_unlistable", "title": "Unlistable Lists", "topics": [ "is_unlistable" ] }, { "page": "join", "title": "Fast and Verbose Table Joins", "topics": [ "join" ] }, { "page": "ldepth", "title": "Determine the Depth / Level of Nesting of a List", "topics": [ "ldepth" ] }, { "page": "list-processing", "title": "List Processing", "topics": [ "A8-list-processing", "list-processing" ] }, { "page": "pad", "title": "Pad Matrix-Like Objects with a Value", "topics": [ "pad" ] }, { "page": "pivot", "title": "Fast and Easy Data Reshaping", "topics": [ "pivot" ] }, { "page": "psacf", "title": "Auto- and Cross- Covariance and Correlation Function Estimation for Panel Series", "topics": [ "psacf", "psacf.data.frame", "psacf.default", "psacf.pdata.frame", "psacf.pseries", "psccf", "psccf.default", "psccf.pseries", "pspacf", "pspacf.data.frame", "pspacf.default", "pspacf.pdata.frame", "pspacf.pseries" ] }, { "page": "psmat", "title": "Matrix / Array from Panel Series", "topics": [ "aperm.psmat", "plot.psmat", "psmat", "psmat.data.frame", "psmat.default", "psmat.pdata.frame", "psmat.pseries", "[.psmat" ] }, { "page": "pwcor_pwcov_pwnobs", "title": "(Pairwise, Weighted) Correlations, Covariances and Observation Counts", "topics": [ "print.pwcor", "print.pwcov", "pwcor", "pwcov", "pwnobs" ] }, { "page": "qF", "title": "Fast Factor Generation, Interactions and Vector Grouping", "topics": [ "as_factor_qG", "finteraction", "is_qG", "itn", "qF", "qG" ] }, { "page": "qsu", "title": "Fast (Grouped, Weighted) Summary Statistics for Cross-Sectional and Panel Data", "topics": [ "as.data.frame.qsu", "print.qsu", "qsu", "qsu.data.frame", "qsu.default", "qsu.grouped_df", "qsu.matrix", "qsu.pdata.frame", "qsu.pseries", "qsu.sf" ] }, { "page": "qtab", "title": "Fast (Weighted) Cross Tabulation", "topics": [ "qtab", "qtable" ] }, { "page": "quick-conversion", "title": "Quick Data Conversion", "topics": [ "A4-quick-conversion", "as_character_factor", "as_integer_factor", "as_numeric_factor", "mctl", "mrtl", "qDF", "qDT", "qM", "qTBL", "quick-conversion" ] }, { "page": "radixorder", "title": "Fast Radix-Based Ordering", "topics": [ "radixorder", "radixorderv" ] }, { "page": "rapply2d", "title": "Recursively Apply a Function to a List of Data Objects", "topics": [ "rapply2d" ] }, { "page": "recode-replace", "title": "Recode and Replace Values in Matrix-Like Objects", "topics": [ "AA1-recode-replace", "recode-replace", "recode_char", "recode_num", "replace_inf", "replace_na", "replace_outliers" ] }, { "page": "rowbind", "title": "Row-Bind Lists / Data Frame-Like Objects", "topics": [ "rowbind" ] }, { "page": "roworder", "title": "Fast Reordering of Data Frame Rows", "topics": [ "roworder", "roworderv" ] }, { "page": "rsplit", "title": "Fast (Recursive) Splitting", "topics": [ "rsplit", "rsplit.data.frame", "rsplit.default", "rsplit.matrix" ] }, { "page": "seqid", "title": "Generate Group-Id from Integer Sequences", "topics": [ "seqid" ] }, { "page": "small-helpers", "title": "Small (Helper) Functions", "topics": [ "%=%", ".c", "AA3-small-helpers", "add_stub", "all_funs", "all_identical", "all_obj_equal", "copyAttrib", "copyMostAttrib", "is_categorical", "is_date", "massign", "namlab", "rm_stub", "setAttrib", "setattrib", "setColnames", "setDimnames", "setLabels", "setRownames", "small-helpers", "unattrib", "vclasses", "vlabels", "vlabels<-" ] }, { "page": "summary-statistics", "title": "Summary Statistics", "topics": [ "A9-summary-statistics", "summary-statistics" ] }, { "page": "t_list", "title": "Efficient List Transpose", "topics": [ "t_list" ] }, { "page": "time-series-panel-series", "title": "Time Series and Panel Series", "topics": [ "A7-time-series-panel-series", "time-series-panel-series" ] }, { "page": "timeid", "title": "Generate Integer-Id From Time/Date Sequences", "topics": [ "timeid" ] }, { "page": "TRA", "title": "Transform Data by (Grouped) 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"libgomp1", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "openmp", "homepage": "http://gcc.gnu.org/", "description": "GCC OpenMP (GOMP) support library" } ], "_vignettes": [ { "source": "collapse_and_data.table.Rmd", "filename": "collapse_and_data.table.html", "title": "collapse and data.table", "author": "Sebastian Krantz", "engine": "knitr::rmarkdown", "headings": [ "Overview of Both Packages", "Interoperating and some Do's and Dont's", "Further collapse features supporting data.table's", "Additional Benchmarks", "References" ], "created": "2020-01-06 17:41:14", "modified": "2025-12-22 16:26:30", "commits": 13 }, { "source": "collapse_and_dplyr.Rmd", "filename": "collapse_and_dplyr.html", "title": "collapse and dplyr", "author": "Sebastian Krantz", "engine": "knitr::rmarkdown", "headings": [ "1. Fast Aggregations", "1.1 Simple Aggregations", "Excursus: What is Happening Behind the Scenes?", "1.2 More Speed using collapse Verbs", "1.3 Multi-Function Aggregations", "1.4 Weighted Aggregations", "2. Fast Transformations", "2.1 Fast Transform and Compute Variables", "2.2 Replacing and Sweeping out Statistics", "2.3 More Control using the TRA Function", "2.4 Faster Centering, Averaging and Standardizing", "2.5 Lags / Leads, Differences and Growth Rates", "3. Benchmarks", "3.1 Data", "3.1 Selecting, Subsetting, Ordering and Grouping", "3.1 Aggregation", "3.2 Transformation", "References" ], "created": "2020-03-12 06:25:55", "modified": "2025-12-22 16:26:30", "commits": 24 }, { "source": "collapse_and_plm.Rmd", "filename": "collapse_and_plm.html", "title": "collapse and plm", "author": "Sebastian Krantz", "engine": "knitr::rmarkdown", "headings": [ "Part 1: Fast Transformation of Panel Data", "1.1 Between and Within Transformations", "1.2 Higher-Dimensional Between and Within Transformations", "1.3 Scaling and Centering", "1.4 Panel Lags / Leads, Differences and Growth Rates", "1.5 Panel Data to Array Conversions", "Benchmarks", "Part 2: Fast Exploration of Panel Data", "2.1 Variation Check for Panel Data", "2.2 Summary Statistics for Panel Data", "2.3 Exploring Panel Data in Matrix / Array Form", "2.4 Panel- Auto-, Partial-Auto and Cross-Correlation Functions", "2.5 Testing for Individual Specific and Time-Effects", "Part 3: Programming Panel Data Estimators", "References" ], "created": "2020-03-12 06:25:55", "modified": "2025-12-22 16:26:30", "commits": 19 }, { "source": "collapse_and_sf.Rmd", "filename": "collapse_and_sf.html", "title": "collapse and sf", "author": "Sebastian Krantz and Grant McDermott", "engine": "knitr::rmarkdown", "headings": [ "Summarising sf Data Frames", "Selecting Columns and Subsetting", "Aggregation and Grouping", "Indexing", "Unique Values, Ordering, Splitting, Binding", "Transformations", "Conversion to and from sf", "Support for units", "Conclusion" ], "created": "2021-06-27 22:02:38", "modified": "2025-12-22 16:26:30", "commits": 11 }, { "source": "collapse_documentation.Rmd", "filename": "collapse_documentation.html", "title": "collapse Documentation and Resources", "author": "Sebastian Krantz", "engine": "knitr::rmarkdown", "headings": [ "Built-In Structured Documentation", "DeepWiki", "JSS Article", "Cheatsheet", "Vignettes", "Blog", "Presentations and Slides" ], "created": "2021-03-01 22:09:46", "modified": "2026-05-19 11:26:43", "commits": 24 }, { "source": "collapse_for_tidyverse_users.Rmd", "filename": "collapse_for_tidyverse_users.html", "title": "collapse for tidyverse Users", "author": "Sebastian Krantz", "engine": "knitr::rmarkdown", "headings": [ "Namespace and Global Options", "Using the Fast Statistical Functions", "Writing Efficient Code", "Using Internal Grouping", "Conclusion" ], "created": "2023-10-11 22:55:56", "modified": "2025-12-22 16:26:30", "commits": 20 }, { "source": "collapse_object_handling.Rmd", "filename": "collapse_object_handling.html", "title": "collapse's Handling of R Objects", "author": "Sebastian Krantz", "engine": "knitr::rmarkdown", "headings": [ "Overview", "General Principles", "Specific Functions and Classes", "Object Conversions", "Selecting Columns by Data Type", "Parsing of Time-IDs", "xts/zoo Time Series", "Support for sf and units", "Support for data.table", "Class-Agnostic Grouped and Indexed Data Frames", "Conclusion" ], "created": "2023-05-27 23:45:17", "modified": "2025-12-22 16:26:30", "commits": 15 }, { "source": "developing_with_collapse.Rmd", "filename": "developing_with_collapse.html", "title": "Developing with collapse", "author": "Sebastian Krantz", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Point 1: Be Minimalistic in Computations", "Point 2: Think About Memory and Optimize", "Point 3: Internally Favor Primitive R Objects and Functions", "Some Notes on Global Options", "Conclusion" ], "created": "2024-12-27 15:07:02", "modified": "2025-12-22 16:26:30", "commits": 14 }, { "source": "collapse_intro.Rmd", "filename": "collapse_intro.html", "title": "Introduction to collapse", "author": "Sebastian Krantz", "engine": "knitr::rmarkdown", "headings": [ "Why collapse?", "1. Data and Summary Tools", "1.1 wlddev - World Bank Development Data", "1.2 GGDC10S - GGDC 10-Sector Database", "2. Fast Data Manipulation", "2.1 Selecting and Replacing Columns", "2.2 Subsetting", "2.3 Reordering Rows and Columns", "2.4 Transforming and Computing New Columns", "2.5 Adding and Binding Columns", "2.6 Renaming Columns", "2.7 Using Shortcuts", "2.8 Missing Values / Rows", "2.9 Unique Values / Rows", "2.10 Recoding and Replacing Values", "3. Quick Data Object Conversions", "4. Advanced Statistical Programming", "4.1 Fast (Grouped, Weighted) Statistical Functions", "4.2 Factors, Grouping Objects and Grouped Data Frames", "4.3 Grouped and Weighted Computations", "4.4 Transformations Using the TRA Argument", "5. Advanced Data Aggregation", "6. 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