biocViews Counts Over Time

Usage

get_view_counts_over_time(view, pkg_list, pkg_years)

get_views_counts_over_time(views, pkg_list, pkg_years)

Arguments

view: A single biocView term.
pkg_list: Value of a call to biocPkgList(). If NULL (default), will call biocPkgList() internally. See Details.
pkg_years: Value of a call to getPkgYearsInBioc(). If NULL (default), will call getPkgYearsInBioc() internally.
views: A character vector of biocView terms.

Value

For get_view_counts_over_time(), a tibble of two columns: date and count. date is a sequence of dates spaced by six months from 2006 to the current year. count is the number of packages associated with view (or one of its child terms).

For get_views_counts_over_time(), a tibble of $N+1$ columns: one column date and one column for each view in views.

Details

Calling BiocPkgTools::biocPkgList() and passing the result to get_packages_by_view() or get_packages_by_views() is more efficient if you are making multiple calls. See vignette 'Optimisations' for a more comprehensive discussion and demonstration.

Examples

suppressPackageStartupMessages(library(BiocPkgTools))

bioc_pkg_list <- get_all_biocpkglist(verbose = FALSE)
bioc_years <- BiocPkgTools::getPkgYearsInBioc()
#> Checking for Bioc Release Update

get_view_counts_over_time(
  view = "SingleCell",
  pkg_list = bioc_pkg_list,
  pkg_years = bioc_years
)
#> # A tibble: 42 × 2
#>    date       count
#>    <date>     <int>
#>  1 2006-01-01     0
#>  2 2006-07-01     0
#>  3 2007-01-01     0
#>  4 2007-07-01     0
#>  5 2008-01-01     0
#>  6 2008-07-01     0
#>  7 2009-01-01     1
#>  8 2009-07-01     1
#>  9 2010-01-01     1
#> 10 2010-07-01     1
#> # ℹ 32 more rows
get_views_counts_over_time(
  views = c("Spatial", "SingleCell"),
  pkg_list = bioc_pkg_list,
  pkg_years = bioc_years
)
#> # A tibble: 42 × 3
#>    date       Spatial SingleCell
#>    <date>       <int>      <int>
#>  1 2006-01-01       0          0
#>  2 2006-07-01       0          0
#>  3 2007-01-01       0          0
#>  4 2007-07-01       0          0
#>  5 2008-01-01       0          0
#>  6 2008-07-01       0          0
#>  7 2009-01-01       0          1
#>  8 2009-07-01       0          1
#>  9 2010-01-01       0          1
#> 10 2010-07-01       0          1
#> # ℹ 32 more rows