├── .Rbuildignore ├── .gitignore ├── inst └── images │ ├── datasearch1.gif │ ├── datasearch2.gif │ └── datasearch3.gif ├── docs ├── pkgdown.yml ├── link.svg ├── bootstrap-toc.css ├── docsearch.js ├── pkgdown.js ├── authors.html ├── 404.html ├── bootstrap-toc.js ├── reference │ ├── index.html │ └── datasearch.html ├── pkgdown.css ├── index.html └── docsearch.css ├── NAMESPACE ├── datasearch.Rproj ├── man └── datasearch.Rd ├── DESCRIPTION ├── README.md ├── README.Rmd └── R └── datasearch.R /.Rbuildignore: -------------------------------------------------------------------------------- 1 | ^.*\.Rproj$ 2 | ^\.Rproj\.user$ 3 | ^README\.Rmd$ 4 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .Rproj.user 2 | .Rhistory 3 | .RData 4 | .Ruserdata 5 | -------------------------------------------------------------------------------- /inst/images/datasearch1.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/moodymudskipper/datasearch/HEAD/inst/images/datasearch1.gif -------------------------------------------------------------------------------- /inst/images/datasearch2.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/moodymudskipper/datasearch/HEAD/inst/images/datasearch2.gif -------------------------------------------------------------------------------- /inst/images/datasearch3.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/moodymudskipper/datasearch/HEAD/inst/images/datasearch3.gif -------------------------------------------------------------------------------- /docs/pkgdown.yml: -------------------------------------------------------------------------------- 1 | pandoc: 2.7.3 2 | pkgdown: 1.5.1 3 | pkgdown_sha: ~ 4 | articles: [] 5 | last_built: 2020-11-05T13:41Z 6 | 7 | -------------------------------------------------------------------------------- /NAMESPACE: -------------------------------------------------------------------------------- 1 | # Generated by roxygen2: do not edit by hand 2 | 3 | export(datasearch) 4 | importFrom(stats,aggregate) 5 | importFrom(utils,data) 6 | -------------------------------------------------------------------------------- /datasearch.Rproj: -------------------------------------------------------------------------------- 1 | Version: 1.0 2 | 3 | RestoreWorkspace: Default 4 | SaveWorkspace: Default 5 | AlwaysSaveHistory: Default 6 | 7 | EnableCodeIndexing: Yes 8 | UseSpacesForTab: Yes 9 | NumSpacesForTab: 2 10 | Encoding: UTF-8 11 | 12 | RnwWeave: Sweave 13 | LaTeX: pdfLaTeX 14 | 15 | AutoAppendNewline: Yes 16 | StripTrailingWhitespace: Yes 17 | 18 | BuildType: Package 19 | PackageUseDevtools: Yes 20 | PackageInstallArgs: --no-multiarch --with-keep.source 21 | -------------------------------------------------------------------------------- /man/datasearch.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/datasearch.R 3 | \name{datasearch} 4 | \alias{datasearch} 5 | \title{Summarize Available Datasets} 6 | \usage{ 7 | datasearch(pkgs = NULL, filter = NULL) 8 | } 9 | \arguments{ 10 | \item{pkgs}{a vector of package names, if \code{NULL} all installed packages 11 | are considered.} 12 | 13 | \item{filter}{a predicate function, or formula, to be applied on each dataset 14 | to restrict the output} 15 | } 16 | \description{ 17 | Summarize Available Datasets 18 | } 19 | -------------------------------------------------------------------------------- /DESCRIPTION: -------------------------------------------------------------------------------- 1 | Package: datasearch 2 | Title: Find Datasets Observing Specific Conditions 3 | Version: 0.0.0.9000 4 | Authors@R: 5 | person(given = "Antoine", 6 | family = "Fabri", 7 | role = c("aut", "cre"), 8 | email = "antoine.fabri@gmail.com") 9 | Description: 'datasearch' is a one function package that can be used to find datasets observing specific conditions, either in a specific package, a list of packages, or all installed packages. 10 | License: GPL-3 11 | Encoding: UTF-8 12 | Language: en 13 | LazyData: true 14 | Roxygen: list(markdown = TRUE) 15 | RoxygenNote: 7.1.1 16 | Imports: 17 | progress 18 | URL: https://github.com/moodymudskipper/datasearch 19 | BugReports: https://github.com/moodymudskipper/datasearch/issues 20 | -------------------------------------------------------------------------------- /docs/link.svg: -------------------------------------------------------------------------------- 1 | 2 | 3 | 5 | 8 | 12 | 13 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | # datasearch 5 | 6 | *{datasearch}* is a one function package that can be used to find 7 | datasets observing specific conditions, either in a specific package, a 8 | list of packages, or all installed packages. 9 | 10 | ## Installation 11 | 12 | Install with: 13 | 14 | ``` r 15 | remotes::install_github("moodymudskipper/datasearch") 16 | ``` 17 | 18 | ## Examples 19 | 20 | ``` r 21 | library(datasearch) 22 | 23 | #~~~~~~~~~~~~~ all data sets from package "dplyr" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 24 | 25 | dplyr_all <- 26 | datasearch("dplyr") 27 | 28 | View(dplyr_all) 29 | ``` 30 | 31 | ![dplyr](https://github.com/moodymudskipper/datasearch/raw/master/inst/images/datasearch1.gif) 32 | 33 | ``` r 34 | #~~~~~~~~~~~~~ datasets from package "datasets" restricted by condition ~~~~~~~~ 35 | 36 | datasets_ncol5 <- 37 | datasearch("datasets", filter = ~is.data.frame(.) && ncol(.) == 5) 38 | 39 | View(datasets_ncol5) 40 | ``` 41 | 42 | ![datasets](https://github.com/moodymudskipper/datasearch/raw/master/inst/images/datasearch2.gif) 43 | 44 | ``` r 45 | #~~~~~~~~~~~~~ all datasets from all installed packages, no restriction ~~~~~~~~ 46 | 47 | # might take more or less time, depends what you have installed 48 | all_datasets <- datasearch() 49 | 50 | View(all_datasets) 51 | 52 | # subsetting the output 53 | my_subset <- subset( 54 | all_datasets, 55 | class1 == "data.frame" & 56 | grepl("treatment", names_collapsed) & 57 | nrow < 100 58 | ) 59 | 60 | View(my_subset) 61 | ``` 62 | 63 | ![all](https://github.com/moodymudskipper/datasearch/raw/master/inst/images/datasearch3.gif) 64 | -------------------------------------------------------------------------------- /README.Rmd: -------------------------------------------------------------------------------- 1 | --- 2 | output: github_document 3 | --- 4 | 5 | 6 | 7 | ```{r, include = FALSE} 8 | knitr::opts_chunk$set( 9 | collapse = TRUE, 10 | comment = "#>", 11 | fig.path = "man/figures/README-", 12 | out.width = "100%" 13 | ) 14 | ``` 15 | 16 | # datasearch 17 | 18 | *{datasearch}* is a one function package that can be used to find datasets 19 | observing specific conditions, either in a specific package, 20 | a list of packages, or all installed packages. 21 | 22 | ## Installation 23 | 24 | Install with: 25 | 26 | ``` r 27 | remotes::install_github("moodymudskipper/datasearch") 28 | ``` 29 | 30 | ## Examples 31 | 32 | ```{r, eval = FALSE} 33 | library(datasearch) 34 | 35 | #~~~~~~~~~~~~~ all data sets from package "dplyr" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 36 | 37 | dplyr_all <- 38 | datasearch("dplyr") 39 | 40 | View(dplyr_all) 41 | ``` 42 | 43 | ![dplyr](https://github.com/moodymudskipper/datasearch/raw/master/inst/images/datasearch1.gif) 44 | 45 | ```{r, eval = FALSE} 46 | #~~~~~~~~~~~~~ datasets from package "datasets" restricted by condition ~~~~~~~~ 47 | 48 | datasets_ncol5 <- 49 | datasearch("datasets", filter = ~is.data.frame(.) && ncol(.) == 5) 50 | 51 | View(datasets_ncol5) 52 | ``` 53 | 54 | ![datasets](https://github.com/moodymudskipper/datasearch/raw/master/inst/images/datasearch2.gif) 55 | 56 | ```{r, eval = FALSE} 57 | #~~~~~~~~~~~~~ all datasets from all installed packages, no restriction ~~~~~~~~ 58 | 59 | # might take more or less time, depends what you have installed 60 | all_datasets <- datasearch() 61 | 62 | View(all_datasets) 63 | 64 | # subsetting the output 65 | my_subset <- subset( 66 | all_datasets, 67 | class1 == "data.frame" & 68 | grepl("treatment", names_collapsed) & 69 | nrow < 100 70 | ) 71 | 72 | View(my_subset) 73 | ``` 74 | 75 | ![all](https://github.com/moodymudskipper/datasearch/raw/master/inst/images/datasearch3.gif) 76 | -------------------------------------------------------------------------------- /docs/bootstrap-toc.css: -------------------------------------------------------------------------------- 1 | /*! 2 | * Bootstrap Table of Contents v0.4.1 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background-color: transparent; 31 | border-left: 2px solid #563d7c; 32 | } 33 | 34 | /* Nav: second level (shown on .active) */ 35 | nav[data-toggle='toc'] .nav .nav { 36 | display: none; /* Hide by default, but at >768px, show it */ 37 | padding-bottom: 10px; 38 | } 39 | nav[data-toggle='toc'] .nav .nav > li > a { 40 | padding-top: 1px; 41 | padding-bottom: 1px; 42 | padding-left: 30px; 43 | font-size: 12px; 44 | font-weight: normal; 45 | } 46 | nav[data-toggle='toc'] .nav .nav > li > a:hover, 47 | nav[data-toggle='toc'] .nav .nav > li > a:focus { 48 | padding-left: 29px; 49 | } 50 | nav[data-toggle='toc'] .nav .nav > .active > a, 51 | nav[data-toggle='toc'] .nav .nav > .active:hover > a, 52 | nav[data-toggle='toc'] .nav .nav > .active:focus > a { 53 | padding-left: 28px; 54 | font-weight: 500; 55 | } 56 | 57 | /* from https://github.com/twbs/bootstrap/blob/e38f066d8c203c3e032da0ff23cd2d6098ee2dd6/docs/assets/css/src/docs.css#L631-L634 */ 58 | nav[data-toggle='toc'] .nav > .active > ul { 59 | display: block; 60 | } 61 | -------------------------------------------------------------------------------- /docs/docsearch.js: -------------------------------------------------------------------------------- 1 | $(function() { 2 | 3 | // register a handler to move the focus to the search bar 4 | // upon pressing shift + "/" (i.e. "?") 5 | $(document).on('keydown', function(e) { 6 | if (e.shiftKey && e.keyCode == 191) { 7 | e.preventDefault(); 8 | $("#search-input").focus(); 9 | } 10 | }); 11 | 12 | $(document).ready(function() { 13 | // do keyword highlighting 14 | /* modified from https://jsfiddle.net/julmot/bL6bb5oo/ */ 15 | var mark = function() { 16 | 17 | var referrer = document.URL ; 18 | var paramKey = "q" ; 19 | 20 | if (referrer.indexOf("?") !== -1) { 21 | var qs = referrer.substr(referrer.indexOf('?') + 1); 22 | var qs_noanchor = qs.split('#')[0]; 23 | var qsa = qs_noanchor.split('&'); 24 | var keyword = ""; 25 | 26 | for (var i = 0; i < qsa.length; i++) { 27 | var currentParam = qsa[i].split('='); 28 | 29 | if (currentParam.length !== 2) { 30 | continue; 31 | } 32 | 33 | if (currentParam[0] == paramKey) { 34 | keyword = decodeURIComponent(currentParam[1].replace(/\+/g, "%20")); 35 | } 36 | } 37 | 38 | if (keyword !== "") { 39 | $(".contents").unmark({ 40 | done: function() { 41 | $(".contents").mark(keyword); 42 | } 43 | }); 44 | } 45 | } 46 | }; 47 | 48 | mark(); 49 | }); 50 | }); 51 | 52 | /* Search term highlighting ------------------------------*/ 53 | 54 | function matchedWords(hit) { 55 | var words = []; 56 | 57 | var hierarchy = hit._highlightResult.hierarchy; 58 | // loop to fetch from lvl0, lvl1, etc. 59 | for (var idx in hierarchy) { 60 | words = words.concat(hierarchy[idx].matchedWords); 61 | } 62 | 63 | var content = hit._highlightResult.content; 64 | if (content) { 65 | words = words.concat(content.matchedWords); 66 | } 67 | 68 | // return unique words 69 | var words_uniq = [...new Set(words)]; 70 | return words_uniq; 71 | } 72 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      Antoine Fabri. Author, maintainer. 116 |

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    Developed by Antoine Fabri.

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    137 | 138 | 139 | 140 | 141 | 142 | 143 | 144 | 145 | -------------------------------------------------------------------------------- /R/datasearch.R: -------------------------------------------------------------------------------- 1 | #' @importFrom stats aggregate 2 | #' @importFrom utils data 3 | NULL 4 | 5 | #' Summarize Available Datasets 6 | #' 7 | #' @param pkgs a vector of package names, if `NULL` all installed packages 8 | #' are considered. 9 | #' @param filter a predicate function, or formula, to be applied on each dataset 10 | #' to restrict the output 11 | #' 12 | #' @export 13 | datasearch <- function(pkgs = NULL, filter = NULL){ 14 | # make function silent 15 | w <- options()$warn 16 | options(warn = -1) 17 | search_ <- search() 18 | file_ <- tempfile() 19 | file_ <- file(file_, "w") 20 | on.exit({ 21 | options(warn = w) 22 | to_detach <- setdiff(search(), search_) 23 | for(pkg in to_detach) eval(bquote(detach(.(pkg)))) 24 | # note : we still have loaded namespaces, we could unload those that we ddn't 25 | # have in the beginning but i'm worried about surprising effects, I think 26 | # the S3 method tables should be cleaned too, and maybe other things 27 | 28 | # note2 : tracing library and require didn't work 29 | }) 30 | 31 | # convert formula to function 32 | if(inherits(filter, "formula")) { 33 | filter <- as.function(c(alist(.=), filter[[length(filter)]])) 34 | } 35 | 36 | ## by default fetch all available packages in .libPaths() 37 | if(is.null(pkgs)) pkgs <- .packages(all.available = TRUE) 38 | ## fetch all data sets description 39 | df <- as.data.frame(data(package = pkgs, verbose = FALSE)$results) 40 | names(df) <- tolower(names(df)) 41 | item <- NULL # for cmd check note 42 | df <- transform( 43 | df, 44 | data_name = sub('.*\\((.*)\\)', '\\1', item), 45 | dataset = sub(' \\(.*', '', item), 46 | libpath = NULL, 47 | item = NULL 48 | ) 49 | df <- df[order(df$package, df$data_name),] 50 | pkg_data_names <- aggregate(dataset ~ package + data_name, df, c) 51 | pkg_data_names <- pkg_data_names[order(pkg_data_names$package, pkg_data_names$data_name),] 52 | 53 | env <- new.env() 54 | n <- nrow(pkg_data_names) 55 | pb <- progress::progress_bar$new( 56 | format = "[:bar] :percent :pkg", 57 | total = n) 58 | row_dfs <- vector("list", n) 59 | for(i in seq(nrow(pkg_data_names))) { 60 | pkg <- pkg_data_names$package[i] 61 | data_name <- pkg_data_names$data_name[i] 62 | datasets <- pkg_data_names$dataset[[i]] 63 | pb$tick(tokens = list(pkg = format(pkg, width = 12))) 64 | 65 | sink(file_, type = "message") 66 | data(list=data_name, package = pkg, envir = env) 67 | row_dfs_i <- lapply(datasets, function(dataset) { 68 | dat <- get(dataset, envir = env) 69 | if(!is.null(filter) && !filter(dat)) return(NULL) 70 | cl <- class(dat) 71 | nms <- names(dat) 72 | nc <- ncol(dat) 73 | if (is.null(nc)) nc <- NA 74 | nr <- nrow(dat) 75 | if (is.null(nr)) nr <- NA 76 | 77 | out <- data.frame( 78 | package = pkg, 79 | data_name = data_name, 80 | dataset = dataset, 81 | class = I(list(cl)), 82 | class1 = cl[1], 83 | type = typeof(dat), 84 | names = I(list(nms)), 85 | names_collapsed = paste(nms, collapse = "/"), 86 | nrow = nr, 87 | ncol = nc, 88 | length = length(dat)) 89 | 90 | if("data.frame" %in% cl) { 91 | classes <- lapply(dat, class) 92 | cl_flat <- unlist(classes) 93 | out <- transform( 94 | out, 95 | classes = I(list(classes)), 96 | types = I(list(vapply(dat, typeof, character(1)))), 97 | logical = sum(cl_flat == 'logical'), 98 | integer = sum(cl_flat == 'integer'), 99 | numeric = sum(cl_flat == 'numeric'), 100 | complex = sum(cl_flat == 'complex'), 101 | character = sum(cl_flat == 'character'), 102 | raw = sum(cl_flat == 'raw'), 103 | list = sum(cl_flat == 'list'), 104 | data.frame = sum(cl_flat == 'data.frame'), 105 | factor = sum(cl_flat == 'factor'), 106 | ordered = sum(cl_flat == 'ordered'), 107 | Date = sum(cl_flat == 'Date'), 108 | POSIXt = sum(cl_flat == 'POSIXt'), 109 | POSIXct = sum(cl_flat == 'POSIXct'), 110 | POSIXlt = sum(cl_flat == 'POSIXlt')) 111 | } else { 112 | out <- transform( 113 | out, 114 | nrow = NA, 115 | ncol = NA, 116 | classes = NA, 117 | types = NA, 118 | logical = NA, 119 | integer = NA, 120 | numeric = NA, 121 | complex = NA, 122 | character = NA, 123 | raw = NA, 124 | list = NA, 125 | data.frame = NA, 126 | factor = NA, 127 | ordered = NA, 128 | Date = NA, 129 | POSIXt = NA, 130 | POSIXct = NA, 131 | POSIXlt = NA) 132 | } 133 | if(is.matrix(dat)) { 134 | out$names <- list(colnames(dat)) 135 | out$names_collapsed = paste(out$names, collapse = "/") 136 | } 137 | out 138 | }) 139 | row_dfs_i <- do.call(rbind, row_dfs_i) 140 | if(!is.null(row_dfs_i)) row_dfs[[i]] <- row_dfs_i 141 | sink(type = "message") 142 | } 143 | df2 <- do.call(rbind, row_dfs) 144 | df <- merge(df, df2) 145 | df 146 | } 147 | 148 | 149 | -------------------------------------------------------------------------------- /docs/404.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Page not found (404) • datasearch 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 55 | 56 | 57 | 58 | 59 | 60 | 61 |
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    `). 76 | getTopLevel: function($scope) { 77 | for (var i = 1; i <= 6; i++) { 78 | var $headings = this.findOrFilter($scope, 'h' + i); 79 | if ($headings.length > 1) { 80 | return i; 81 | } 82 | } 83 | 84 | return 1; 85 | }, 86 | 87 | // returns the elements for the top level, and the next below it 88 | getHeadings: function($scope, topLevel) { 89 | var topSelector = 'h' + topLevel; 90 | 91 | var secondaryLevel = topLevel + 1; 92 | var secondarySelector = 'h' + secondaryLevel; 93 | 94 | return this.findOrFilter($scope, topSelector + ',' + secondarySelector); 95 | }, 96 | 97 | getNavLevel: function(el) { 98 | return parseInt(el.tagName.charAt(1), 10); 99 | }, 100 | 101 | populateNav: function($topContext, topLevel, $headings) { 102 | var $context = $topContext; 103 | var $prevNav; 104 | 105 | var helpers = this; 106 | $headings.each(function(i, el) { 107 | var $newNav = helpers.generateNavItem(el); 108 | var navLevel = helpers.getNavLevel(el); 109 | 110 | // determine the proper $context 111 | if (navLevel === topLevel) { 112 | // use top level 113 | $context = $topContext; 114 | } else if ($prevNav && $context === $topContext) { 115 | // create a new level of the tree and switch to it 116 | $context = helpers.createChildNavList($prevNav); 117 | } // else use the current $context 118 | 119 | $context.append($newNav); 120 | 121 | $prevNav = $newNav; 122 | }); 123 | }, 124 | 125 | parseOps: function(arg) { 126 | var opts; 127 | if (arg.jquery) { 128 | opts = { 129 | $nav: arg 130 | }; 131 | } else { 132 | opts = arg; 133 | } 134 | opts.$scope = opts.$scope || $(document.body); 135 | return opts; 136 | } 137 | }, 138 | 139 | // accepts a jQuery object, or an options object 140 | init: function(opts) { 141 | opts = this.helpers.parseOps(opts); 142 | 143 | // ensure that the data attribute is in place for styling 144 | opts.$nav.attr('data-toggle', 'toc'); 145 | 146 | var $topContext = this.helpers.createChildNavList(opts.$nav); 147 | var topLevel = this.helpers.getTopLevel(opts.$scope); 148 | var $headings = this.helpers.getHeadings(opts.$scope, topLevel); 149 | this.helpers.populateNav($topContext, topLevel, $headings); 150 | } 151 | }; 152 | 153 | $(function() { 154 | $('nav[data-toggle="toc"]').each(function(i, el) { 155 | var $nav = $(el); 156 | Toc.init($nav); 157 | }); 158 | }); 159 | })(); 160 | -------------------------------------------------------------------------------- /docs/reference/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Function reference • datasearch 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 55 | 56 | 57 | 58 | 59 | 60 | 61 |
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    63 | 102 | 103 | 104 | 105 |
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    108 |
    109 |
    110 |

    Reference

    111 |
    112 | 113 | 114 | 115 | 116 | 117 | 118 | 119 | 120 | 121 | 122 | 123 | 127 | 128 | 129 | 130 | 131 | 132 | 133 | 134 | 135 | 138 | 139 | 140 | 141 |
    124 |

    All functions

    125 |

    126 |
    136 |

    datasearch()

    137 |

    Summarize Available Datasets

    142 |
    143 | 144 | 149 |
    150 | 151 | 152 |
    153 |
    154 |

    Developed by Antoine Fabri.

    155 |
    156 | 157 |
    158 |

    Site built with pkgdown 1.5.1.

    159 |
    160 | 161 |
    162 |
    163 | 164 | 165 | 166 | 167 | 168 | 169 | 170 | 171 | -------------------------------------------------------------------------------- /docs/reference/datasearch.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Summarize Available Datasets — datasearch • datasearch 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 56 | 57 | 58 | 59 | 60 | 61 | 62 |
    63 |
    64 | 103 | 104 | 105 | 106 |
    107 | 108 |
    109 |
    110 |
    111 |

    Summarize Available Datasets

    112 | Source: R/datasearch.R 113 | 114 |
    115 | 116 |
    117 |

    Summarize Available Datasets

    118 |
    119 | 120 | 
    datasearch(pkgs = NULL, filter = NULL)
    121 | 122 |

    Arguments

    123 | 124 | 125 | 126 | 127 | 129 | 130 | 131 | 132 | 134 | 135 |
    pkgs

    a vector of package names, if NULL all installed packages 128 | are considered.

    filter

    a predicate function, or formula, to be applied on each dataset 133 | to restrict the output

    136 | 137 | 138 |
    139 | 144 |
    145 | 146 | 147 |
    148 |
    149 |

    Developed by Antoine Fabri.

    150 |
    151 | 152 |
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    Site built with pkgdown 1.5.1.

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    70 |

    71 | datasearch

    72 |

    {datasearch} is a one function package that can be used to find datasets observing specific conditions, either in a specific package, a list of packages, or all installed packages.

    73 |
    74 |

    75 | Installation

    76 |

    Install with:

    77 | 
    remotes::install_github("moodymudskipper/datasearch")
    78 |
    79 |
    80 |

    81 | Examples

    82 | 
    library(datasearch)
 83 | 
 84 | #~~~~~~~~~~~~~ all data sets from package "dplyr" ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 85 | 
 86 | dplyr_all <-
 87 |   datasearch("dplyr")
 88 | 
 89 | View(dplyr_all)
    90 |

    dplyr

    91 | 
    #~~~~~~~~~~~~~ datasets from package "datasets" restricted by condition ~~~~~~~~
 92 | 
 93 | datasets_ncol5 <-
 94 |   datasearch("datasets", filter =  ~is.data.frame(.) && ncol(.) == 5)
 95 | 
 96 | View(datasets_ncol5)
    97 |

    datasets

    98 | 
    #~~~~~~~~~~~~~ all datasets from all installed packages, no restriction ~~~~~~~~
 99 | 
100 | # might take more or less time, depends what you have installed
101 | all_datasets <- datasearch()
102 | 
103 | View(all_datasets)
104 | 
105 | # subsetting the output
106 | my_subset <- subset(
107 |   all_datasets,
108 |   class1 == "data.frame" &
109 |     grepl("treatment", names_collapsed) &
110 |     nrow < 100
111 | )
112 | 
113 | View(my_subset)
    114 |

    all

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    Developed by Antoine Fabri.

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    Site built with pkgdown 1.5.1.

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    156 | 157 | 158 | 159 | 160 | 161 | 162 | -------------------------------------------------------------------------------- /docs/docsearch.css: -------------------------------------------------------------------------------- 1 | /* Docsearch -------------------------------------------------------------- */ 2 | /* 3 | Source: https://github.com/algolia/docsearch/ 4 | License: MIT 5 | */ 6 | 7 | .algolia-autocomplete { 8 | display: block; 9 | -webkit-box-flex: 1; 10 | -ms-flex: 1; 11 | flex: 1 12 | } 13 | 14 | .algolia-autocomplete .ds-dropdown-menu { 15 | width: 100%; 16 | min-width: none; 17 | max-width: none; 18 | padding: .75rem 0; 19 | background-color: #fff; 20 | background-clip: padding-box; 21 | border: 1px solid rgba(0, 0, 0, .1); 22 | box-shadow: 0 .5rem 1rem rgba(0, 0, 0, .175); 23 | } 24 | 25 | @media (min-width:768px) { 26 | .algolia-autocomplete .ds-dropdown-menu { 27 | width: 175% 28 | } 29 | } 30 | 31 | .algolia-autocomplete .ds-dropdown-menu::before { 32 | display: none 33 | } 34 | 35 | .algolia-autocomplete .ds-dropdown-menu [class^=ds-dataset-] { 36 | padding: 0; 37 | background-color: rgb(255,255,255); 38 | border: 0; 39 | max-height: 80vh; 40 | } 41 | 42 | .algolia-autocomplete .ds-dropdown-menu .ds-suggestions { 43 | margin-top: 0 44 | } 45 | 46 | .algolia-autocomplete .algolia-docsearch-suggestion { 47 | padding: 0; 48 | overflow: visible 49 | } 50 | 51 | .algolia-autocomplete .algolia-docsearch-suggestion--category-header { 52 | padding: .125rem 1rem; 53 | margin-top: 0; 54 | font-size: 1.3em; 55 | font-weight: 500; 56 | color: #00008B; 57 | border-bottom: 0 58 | } 59 | 60 | .algolia-autocomplete .algolia-docsearch-suggestion--wrapper { 61 | float: none; 62 | padding-top: 0 63 | } 64 | 65 | .algolia-autocomplete .algolia-docsearch-suggestion--subcategory-column { 66 | float: none; 67 | width: auto; 68 | padding: 0; 69 | text-align: left 70 | } 71 | 72 | .algolia-autocomplete .algolia-docsearch-suggestion--content { 73 | float: none; 74 | width: auto; 75 | padding: 0 76 | } 77 | 78 | .algolia-autocomplete .algolia-docsearch-suggestion--content::before { 79 | display: none 80 | } 81 | 82 | .algolia-autocomplete .ds-suggestion:not(:first-child) .algolia-docsearch-suggestion--category-header { 83 | padding-top: .75rem; 84 | margin-top: .75rem; 85 | border-top: 1px solid rgba(0, 0, 0, .1) 86 | } 87 | 88 | .algolia-autocomplete .ds-suggestion .algolia-docsearch-suggestion--subcategory-column { 89 | display: block; 90 | padding: .1rem 1rem; 91 | margin-bottom: 0.1; 92 | font-size: 1.0em; 93 | font-weight: 400 94 | /* display: none */ 95 | } 96 | 97 | .algolia-autocomplete .algolia-docsearch-suggestion--title { 98 | display: block; 99 | padding: .25rem 1rem; 100 | margin-bottom: 0; 101 | font-size: 0.9em; 102 | font-weight: 400 103 | } 104 | 105 | .algolia-autocomplete .algolia-docsearch-suggestion--text { 106 | padding: 0 1rem .5rem; 107 | margin-top: -.25rem; 108 | font-size: 0.8em; 109 | font-weight: 400; 110 | line-height: 1.25 111 | } 112 | 113 | .algolia-autocomplete .algolia-docsearch-footer { 114 | width: 110px; 115 | height: 20px; 116 | z-index: 3; 117 | margin-top: 10.66667px; 118 | float: right; 119 | font-size: 0; 120 | line-height: 0; 121 | } 122 | 123 | .algolia-autocomplete .algolia-docsearch-footer--logo { 124 | background-image: url("data:image/svg+xml;utf8,"); 125 | background-repeat: no-repeat; 126 | background-position: 50%; 127 | background-size: 100%; 128 | overflow: hidden; 129 | text-indent: -9000px; 130 | width: 100%; 131 | height: 100%; 132 | display: block; 133 | transform: translate(-8px); 134 | } 135 | 136 | .algolia-autocomplete .algolia-docsearch-suggestion--highlight { 137 | color: #FF8C00; 138 | background: rgba(232, 189, 54, 0.1) 139 | } 140 | 141 | 142 | .algolia-autocomplete .algolia-docsearch-suggestion--text .algolia-docsearch-suggestion--highlight { 143 | box-shadow: inset 0 -2px 0 0 rgba(105, 105, 105, .5) 144 | } 145 | 146 | .algolia-autocomplete .ds-suggestion.ds-cursor .algolia-docsearch-suggestion--content { 147 | background-color: rgba(192, 192, 192, .15) 148 | } 149 | --------------------------------------------------------------------------------