mirror of
https://github.com/msberends/AMR.git
synced 2024-12-26 07:26:13 +01:00
remove print function, out of scope
This commit is contained in:
parent
e3e10c2e88
commit
a28289562a
@ -32,7 +32,6 @@ Imports:
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clipr,
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clipr,
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curl,
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curl,
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dplyr (>= 0.7.0),
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dplyr (>= 0.7.0),
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data.table (>= 1.10.0),
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reshape2 (>= 1.4.0),
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reshape2 (>= 1.4.0),
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xml2 (>= 1.0.0),
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xml2 (>= 1.0.0),
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knitr (>= 1.0.0),
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knitr (>= 1.0.0),
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10
NAMESPACE
10
NAMESPACE
@ -15,12 +15,9 @@ S3method(kurtosis,matrix)
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S3method(plot,frequency_tbl)
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S3method(plot,frequency_tbl)
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S3method(plot,mic)
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S3method(plot,mic)
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S3method(plot,rsi)
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S3method(plot,rsi)
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S3method(print,data.table)
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S3method(print,frequency_tbl)
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S3method(print,frequency_tbl)
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S3method(print,mic)
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S3method(print,mic)
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S3method(print,rsi)
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S3method(print,rsi)
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S3method(print,tbl)
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S3method(print,tbl_df)
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S3method(skewness,data.frame)
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S3method(skewness,data.frame)
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S3method(skewness,default)
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S3method(skewness,default)
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S3method(skewness,matrix)
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S3method(skewness,matrix)
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@ -83,12 +80,9 @@ exportMethods(kurtosis.matrix)
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exportMethods(plot.frequency_tbl)
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exportMethods(plot.frequency_tbl)
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exportMethods(plot.mic)
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exportMethods(plot.mic)
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exportMethods(plot.rsi)
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exportMethods(plot.rsi)
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exportMethods(print.data.table)
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exportMethods(print.frequency_tbl)
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exportMethods(print.frequency_tbl)
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exportMethods(print.mic)
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exportMethods(print.mic)
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exportMethods(print.rsi)
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exportMethods(print.rsi)
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exportMethods(print.tbl)
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exportMethods(print.tbl_df)
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exportMethods(skewness)
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exportMethods(skewness)
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exportMethods(skewness.data.frame)
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exportMethods(skewness.data.frame)
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exportMethods(skewness.default)
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exportMethods(skewness.default)
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@ -99,7 +93,6 @@ importFrom(broom,tidy)
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importFrom(clipr,read_clip_tbl)
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importFrom(clipr,read_clip_tbl)
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importFrom(clipr,write_clip)
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importFrom(clipr,write_clip)
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importFrom(curl,nslookup)
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importFrom(curl,nslookup)
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importFrom(data.table,data.table)
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importFrom(dplyr,"%>%")
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importFrom(dplyr,"%>%")
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importFrom(dplyr,all_vars)
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importFrom(dplyr,all_vars)
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importFrom(dplyr,any_vars)
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importFrom(dplyr,any_vars)
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@ -112,14 +105,11 @@ importFrom(dplyr,filter)
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importFrom(dplyr,filter_at)
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importFrom(dplyr,filter_at)
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importFrom(dplyr,group_by)
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importFrom(dplyr,group_by)
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importFrom(dplyr,group_by_at)
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importFrom(dplyr,group_by_at)
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importFrom(dplyr,group_size)
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importFrom(dplyr,group_vars)
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importFrom(dplyr,if_else)
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importFrom(dplyr,if_else)
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importFrom(dplyr,lag)
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importFrom(dplyr,lag)
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importFrom(dplyr,left_join)
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importFrom(dplyr,left_join)
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importFrom(dplyr,mutate)
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importFrom(dplyr,mutate)
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importFrom(dplyr,n_distinct)
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importFrom(dplyr,n_distinct)
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importFrom(dplyr,n_groups)
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importFrom(dplyr,progress_estimated)
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importFrom(dplyr,progress_estimated)
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importFrom(dplyr,pull)
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importFrom(dplyr,pull)
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importFrom(dplyr,row_number)
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importFrom(dplyr,row_number)
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2
NEWS.md
2
NEWS.md
@ -21,6 +21,7 @@ ratio(c(772, 1611, 737), ratio = "1:2:1")
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* Functions `clipboard_import` and `clipboard_export` as helper functions to quickly copy and paste from/to software like Excel and SPSS
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* Functions `clipboard_import` and `clipboard_export` as helper functions to quickly copy and paste from/to software like Excel and SPSS
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#### Changed
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#### Changed
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* Pretty printing for tibbles removed as it is not really the scope of this package
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* `%like%` now supports multiple patterns
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* `%like%` now supports multiple patterns
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* Frequency tables are now actual `data.frame`s with altered console printing to make it look like a frequency table. Because of this, the parameter `toConsole` is not longer needed.
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* Frequency tables are now actual `data.frame`s with altered console printing to make it look like a frequency table. Because of this, the parameter `toConsole` is not longer needed.
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* Small translational improvements to the `septic_patients` dataset
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* Small translational improvements to the `septic_patients` dataset
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@ -34,7 +35,6 @@ ratio(c(772, 1611, 737), ratio = "1:2:1")
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* Improved `first_isolate` algorithm to exclude isolates where bacteria ID or genus is unavailable
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* Improved `first_isolate` algorithm to exclude isolates where bacteria ID or genus is unavailable
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* Fix for warning *hybrid evaluation forced for row_number* ([`924b62`](https://github.com/tidyverse/dplyr/commit/924b62)) from the `dplyr` package v0.7.5 and above
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* Fix for warning *hybrid evaluation forced for row_number* ([`924b62`](https://github.com/tidyverse/dplyr/commit/924b62)) from the `dplyr` package v0.7.5 and above
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* Support for 1 or 2 columns as input for `guess_bactid`
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* Support for 1 or 2 columns as input for `guess_bactid`
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* Fix for printing tibbles where characters would be accidentally transformed to factors
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#### Other
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#### Other
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* Unit testing for R 3.0 and the latest available release: https://travis-ci.org/msberends/AMR
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* Unit testing for R 3.0 and the latest available release: https://travis-ci.org/msberends/AMR
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352
R/print.R
352
R/print.R
@ -1,352 +0,0 @@
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# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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# #
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# AUTHORS #
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# Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
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# #
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# LICENCE #
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# This program is free software; you can redistribute it and/or modify #
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# it under the terms of the GNU General Public License version 2.0, #
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# as published by the Free Software Foundation. #
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# #
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# This program is distributed in the hope that it will be useful, #
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# but WITHOUT ANY WARRANTY; without even the implied warranty of #
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
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# GNU General Public License for more details. #
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# ==================================================================== #
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#' Printing Data Tables and Tibbles
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#'
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#' Print a data table or tibble. It prints: \cr- The \strong{first and last rows} like \code{data.table}s are printed by the \code{data.table} package,\cr- A \strong{header} and \strong{left aligned text} like \code{tibble}s are printed by the \code{tibble} package with info about grouped variables,\cr- \strong{Unchanged values} and \strong{support for row names} like \code{data.frame}s are printed by the \code{base} package.
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#' @inheritParams base::print.data.frame
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#' @param nmax amount of rows to print in total. When the total amount of rows exceeds this limit, the first and last \code{nmax / 2} rows will be printed. Use \code{nmax = NA} to print all rows.
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#' @param header print header with information about data size and tibble grouping
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#' @param print.keys print keys for \code{data.table}
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#' @param na value to print instead of NA
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#' @param width amount of white spaces to keep between columns, must be at least 1
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#' @rdname print
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#' @name print
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#' @importFrom dplyr %>% n_groups group_vars group_size filter pull select
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#' @importFrom data.table data.table
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#' @importFrom utils object.size
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#' @exportMethod print.tbl_df
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#' @export
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#' @examples
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#' # more reliable data view:
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#' library(dplyr)
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#' starwars
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#' print(starwars, width = 3)
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#'
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#' # This is how the tibble package prints since v1.4.0:
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#' # (mind the quite unfamiliar underscores and ending dots)
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#' tibble(now_what = c(1.2345, 2345.67, 321.456)) %>% tibble:::print.tbl_df()
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#'
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#' # This is how this AMR package prints:
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#' # (every number shown as you would expect)
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#' tibble(now_what = c(1.2345, 2345.67, 321.456))
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#'
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#' # also supports info about groups (look at header)
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#' starwars %>% group_by(homeworld, gender)
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print.tbl_df <- function(x,
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nmax = 10,
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header = TRUE,
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row.names = TRUE,
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right = FALSE,
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width = 1,
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na = "<NA>",
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...) {
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prettyprint_df(x = x,
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nmax = nmax,
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header = header,
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row.names = row.names,
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print.keys = FALSE,
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right = right,
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width = width,
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na = na,
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...)
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}
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#' @rdname print
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#' @exportMethod print.tbl
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#' @export
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print.tbl <- function(x, ...) {
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prettyprint_df(x, ...)
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}
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#' @rdname print
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#' @exportMethod print.data.table
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#' @export
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print.data.table <- function(x,
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print.keys = FALSE,
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...) {
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prettyprint_df(x = x,
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print.keys = print.keys,
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...)
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}
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printDT <- data.table:::print.data.table
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prettyprint_df <- function(x,
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nmax = 10,
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header = TRUE,
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row.names = TRUE,
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print.keys = FALSE,
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right = FALSE,
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width = 1,
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na = "<NA>",
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...) {
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ansi_reset <- "\u001B[0m"
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ansi_black <- "\u001B[30m"
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ansi_red <- "\u001B[31m"
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ansi_green <- "\u001B[32m"
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ansi_yellow <- "\u001B[33m"
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ansi_blue <- "\u001B[34m"
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ansi_purple <- "\u001B[35m"
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ansi_cyan <- "\u001B[36m"
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ansi_white <- "\u001B[37m"
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ansi_gray <- "\u001B[38;5;246m"
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if (width < 1) {
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stop('`width` must be at least 1.', call. = FALSE)
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}
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if (is.na(nmax)) {
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nmax <- NROW(x)
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}
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n <- nmax
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if (n %% 2 == 1) {
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# odd number; add 1
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n <- n + 1
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}
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width <- width - 1
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if ('tbl_df' %in% class(x)) {
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type <- 'tibble'
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} else if ('data.table' %in% class(x)) {
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type <- 'data.table'
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} else {
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type <- 'data.frame'
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}
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if (header == TRUE) {
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if (NCOL(x) == 1) {
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vars <- 'variable'
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} else {
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vars <- 'variables'
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}
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size <- object.size(x) %>% as.double() %>% size_humanreadable()
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cat(paste0("A ", type,": ",
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format(NROW(x)),
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" obs. of ",
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format(NCOL(x)),
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" ", vars,
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ansi_gray, " (", size, ")\n", ansi_reset))
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if ('grouped_df' %in% class(x) & n_groups(x) > 0) {
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cat(paste0("Grouped by ",
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x %>% group_vars() %>% paste0(ansi_red, ., ansi_reset) %>% paste0(collapse = " and "),
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ansi_gray,
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" (",
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x %>% n_groups(),
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" groups with sizes between ",
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x %>% group_size() %>% min(),
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" and ",
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x %>% group_size() %>% max(),
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")\n",
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ansi_reset))
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}
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if (!is.null(attributes(x)$qry)) {
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cat(paste0(ansi_gray, "This data contains a query. Use qry() to view it.\n", ansi_reset))
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}
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cat("\n")
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}
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# data.table where keys should be printed
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if (print.keys == TRUE) {
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printDT(x,
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class = header,
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row.names = row.names,
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print.keys = TRUE,
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right = right,
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...
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)
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return(invisible())
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}
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# tibbles give warning when setting column names
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x <- x %>% base::as.data.frame(stringsAsFactors = FALSE)
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# extra space of 3 chars, right to row name or number
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if (NROW(x) > 0) {
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maxrowchars <- rownames(x) %>% nchar() %>% max() + 3
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rownames(x) <- paste0(rownames(x), strrep(" ", maxrowchars - nchar(rownames(x))))
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} else {
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maxrowchars <- 0
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}
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x.bak <- x
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if (n + 1 < nrow(x)) {
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# remove in between part, 1 extra for ~~~~ between first and last part
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rows_list <- c(1:(n / 2 + 1), (nrow(x) - (n / 2) + 1):nrow(x))
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x <- as.data.frame(x.bak[rows_list,], stringsAsFactors = FALSE)
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colnames(x) <- colnames(x.bak)
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rownames(x) <- rownames(x.bak)[rows_list]
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# set inbetweener between parts
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rownames(x)[n / 2 + 1] <- strrep("~", maxrowchars)
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}
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if (header == TRUE) {
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# add 1 row for classes
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# class will be marked up per column
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if (NROW(x.bak) > 0) {
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rownames.x <- rownames(x)
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# suppress warnings because dplyr want us to use library(dplyr) when using filter(row_number())
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suppressWarnings(
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x <- x %>%
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filter(row_number() == 1) %>%
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rbind(x, stringsAsFactors = FALSE)
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)
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rownames(x) <- c('*', rownames.x)
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}
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# select 1st class per column and abbreviate
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classes <- x.bak %>%
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sapply(class) %>%
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lapply(
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function(c) {
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# do print all POSIX classes like "POSct/t"
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if ('POSIXct' %in% c) {
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paste0('POS',
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c %>%
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gsub('POSIX', '', .) %>%
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paste0(collapse = '/'))
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} else {
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if (NCOL(.) > 1) {
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.[1, ]
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} else {
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c[[1]]
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}
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}
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}) %>%
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unlist() %>%
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gsub("character", "chr", ., fixed = TRUE) %>%
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gsub("complex", "cplx", ., fixed = TRUE) %>%
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gsub("Date", "Date", ., fixed = TRUE) %>%
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gsub("double", "dbl", ., fixed = TRUE) %>%
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gsub("expression", "expr", ., fixed = TRUE) %>%
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gsub("factor", "fct", ., fixed = TRUE) %>%
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gsub("IDate", "IDat", ., fixed = TRUE) %>%
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gsub("integer", "int", ., fixed = TRUE) %>%
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gsub("integer64", "i64", ., fixed = TRUE) %>%
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gsub("list", "list", ., fixed = TRUE) %>%
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gsub("logical", "lgl", ., fixed = TRUE) %>%
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gsub("numeric", "dbl", ., fixed = TRUE) %>%
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gsub("ordered", "ord", ., fixed = TRUE) %>%
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gsub("percent", "pct", ., fixed = TRUE) %>%
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gsub("single", "sgl", ., fixed = TRUE) %>%
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paste0("<", ., ">")
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}
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|
|
||||||
# markup cols
|
|
||||||
|
|
||||||
for (i in 1:ncol(x)) {
|
|
||||||
if (all(!class(x[, i]) %in% class(x.bak[, i]))) {
|
|
||||||
class(x[, i]) <- class(x.bak[, i])
|
|
||||||
}
|
|
||||||
try(x[, i] <- format(x %>% pull(i)), silent = TRUE)
|
|
||||||
# replace NAs
|
|
||||||
if (nchar(na) < 2) {
|
|
||||||
# make as long as the text "NA"
|
|
||||||
na <- paste0(na, strrep(" ", 2 - nchar(na)))
|
|
||||||
}
|
|
||||||
try(x[, i] <- gsub("^NA$", na, trimws(x[, i], 'both')), silent = TRUE)
|
|
||||||
# place class into 1st row
|
|
||||||
if (header == TRUE) {
|
|
||||||
x[1, i] <- classes[i]
|
|
||||||
}
|
|
||||||
# dashes between two parts when exceeding nmax
|
|
||||||
maxvalchars <- max(colnames(x)[i] %>% nchar(), x[, i] %>% nchar() %>% max())
|
|
||||||
if (n + 1 < nrow(x.bak)) {
|
|
||||||
x[n / 2 + if_else(header == TRUE, 2, 1), i] <- strrep("~", maxvalchars)
|
|
||||||
}
|
|
||||||
|
|
||||||
# align according to `right` parameter, but only factors, logicals text, but not MICs
|
|
||||||
if (any(x.bak %>% pull(i) %>% class() %in% c('factor', 'character', 'logical'))
|
|
||||||
& !("mic" %in% (x.bak %>% pull(i) %>% class()))) {
|
|
||||||
vals <- x %>% pull(i) %>% trimws('both')
|
|
||||||
colname <- colnames(x)[i] %>% trimws('both')
|
|
||||||
if (right == FALSE) {
|
|
||||||
vals <- paste0(vals, strrep(" ", maxvalchars - nchar(vals)))
|
|
||||||
colname <- paste0(colname, strrep(" ", maxvalchars - nchar(colname)))
|
|
||||||
} else {
|
|
||||||
vals <- paste0(strrep(" ", maxvalchars - nchar(vals)), vals)
|
|
||||||
colname <- paste0(strrep(" ", maxvalchars - nchar(colname)), colname)
|
|
||||||
}
|
|
||||||
x[, i] <- vals
|
|
||||||
colnames(x)[i] <- colname
|
|
||||||
}
|
|
||||||
|
|
||||||
# add left padding according to `width` parameter
|
|
||||||
# but not in 1st col when row names are off
|
|
||||||
if (row.names == TRUE | i > 1) {
|
|
||||||
x[, i] <- paste0(strrep(" ", width), x[, i])
|
|
||||||
colnames(x)[i] <- paste0(strrep(" ", width), colnames(x)[i])
|
|
||||||
}
|
|
||||||
|
|
||||||
# strip columns that do not fit (width + 2 extra chars as margin)
|
|
||||||
width_console <- options()$width
|
|
||||||
width_until_col <- x %>%
|
|
||||||
select(1:i) %>%
|
|
||||||
apply(1, paste, collapse = strrep(" ", width + 2)) %>%
|
|
||||||
nchar() %>%
|
|
||||||
max()
|
|
||||||
width_until_col_before <- x %>%
|
|
||||||
select(1:(max(i, 2) - 1)) %>%
|
|
||||||
apply(1, paste, collapse = strrep(" ", width + 2)) %>%
|
|
||||||
nchar() %>%
|
|
||||||
max()
|
|
||||||
extraspace <- maxrowchars + nchar(rownames(x)[length(rownames(x))])
|
|
||||||
width_until_colnames <- colnames(x)[1:i] %>% paste0(collapse = strrep(" ", width + 1)) %>% nchar() + extraspace
|
|
||||||
width_until_colnames_before <- colnames(x)[1:(max(i, 2) - 1)] %>% paste0(collapse = strrep(" ", width + 1)) %>% nchar() + extraspace
|
|
||||||
|
|
||||||
if (i > 1 &
|
|
||||||
(width_until_col > width_console
|
|
||||||
| width_until_colnames > width_console)) {
|
|
||||||
if (width_until_col_before > width_console
|
|
||||||
| width_until_colnames_before > width_console) {
|
|
||||||
x <- x[, 1:(i - 2)]
|
|
||||||
} else {
|
|
||||||
x <- x[, 1:(i - 1)]
|
|
||||||
}
|
|
||||||
break
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
# empty table, row name of header should be "*"
|
|
||||||
if (NROW(x.bak) == 0) {
|
|
||||||
rownames(x) <- '* '
|
|
||||||
}
|
|
||||||
|
|
||||||
# and here it is...
|
|
||||||
suppressWarnings(
|
|
||||||
base::print.data.frame(x, row.names = row.names, ...)
|
|
||||||
)
|
|
||||||
|
|
||||||
# print rest of col names when they were stripped
|
|
||||||
if (ncol(x) < ncol(x.bak)) {
|
|
||||||
x.notshown <- x.bak %>% select((ncol(x) + 1):ncol(x.bak))
|
|
||||||
if (ncol(x.notshown) == 1) {
|
|
||||||
cat('... and 1 more column: ')
|
|
||||||
} else {
|
|
||||||
cat('... and', ncol(x.notshown), 'more columns: ')
|
|
||||||
}
|
|
||||||
cat(x.notshown %>%
|
|
||||||
colnames() %>%
|
|
||||||
paste0(' ', ansi_gray, classes[(ncol(x) + 1):ncol(x.bak)], ansi_reset) %>%
|
|
||||||
paste0(collapse = ", "), '\n')
|
|
||||||
}
|
|
||||||
}
|
|
57
man/print.Rd
57
man/print.Rd
@ -1,57 +0,0 @@
|
|||||||
% Generated by roxygen2: do not edit by hand
|
|
||||||
% Please edit documentation in R/print.R
|
|
||||||
\name{print}
|
|
||||||
\alias{print}
|
|
||||||
\alias{print.tbl_df}
|
|
||||||
\alias{print.tbl}
|
|
||||||
\alias{print.data.table}
|
|
||||||
\title{Printing Data Tables and Tibbles}
|
|
||||||
\usage{
|
|
||||||
\method{print}{tbl_df}(x, nmax = 10, header = TRUE, row.names = TRUE,
|
|
||||||
right = FALSE, width = 1, na = "<NA>", ...)
|
|
||||||
|
|
||||||
\method{print}{tbl}(x, ...)
|
|
||||||
|
|
||||||
\method{print}{data.table}(x, print.keys = FALSE, ...)
|
|
||||||
}
|
|
||||||
\arguments{
|
|
||||||
\item{x}{object of class \code{data.frame}.}
|
|
||||||
|
|
||||||
\item{nmax}{amount of rows to print in total. When the total amount of rows exceeds this limit, the first and last \code{nmax / 2} rows will be printed. Use \code{nmax = NA} to print all rows.}
|
|
||||||
|
|
||||||
\item{header}{print header with information about data size and tibble grouping}
|
|
||||||
|
|
||||||
\item{row.names}{logical (or character vector), indicating whether (or
|
|
||||||
what) row names should be printed.}
|
|
||||||
|
|
||||||
\item{right}{logical, indicating whether or not strings should be
|
|
||||||
right-aligned. The default is right-alignment.}
|
|
||||||
|
|
||||||
\item{width}{amount of white spaces to keep between columns, must be at least 1}
|
|
||||||
|
|
||||||
\item{na}{value to print instead of NA}
|
|
||||||
|
|
||||||
\item{...}{optional arguments to \code{print} or \code{plot} methods.}
|
|
||||||
|
|
||||||
\item{print.keys}{print keys for \code{data.table}}
|
|
||||||
}
|
|
||||||
\description{
|
|
||||||
Print a data table or tibble. It prints: \cr- The \strong{first and last rows} like \code{data.table}s are printed by the \code{data.table} package,\cr- A \strong{header} and \strong{left aligned text} like \code{tibble}s are printed by the \code{tibble} package with info about grouped variables,\cr- \strong{Unchanged values} and \strong{support for row names} like \code{data.frame}s are printed by the \code{base} package.
|
|
||||||
}
|
|
||||||
\examples{
|
|
||||||
# more reliable data view:
|
|
||||||
library(dplyr)
|
|
||||||
starwars
|
|
||||||
print(starwars, width = 3)
|
|
||||||
|
|
||||||
# This is how the tibble package prints since v1.4.0:
|
|
||||||
# (mind the quite unfamiliar underscores and ending dots)
|
|
||||||
tibble(now_what = c(1.2345, 2345.67, 321.456)) \%>\% tibble:::print.tbl_df()
|
|
||||||
|
|
||||||
# This is how this AMR package prints:
|
|
||||||
# (every number shown as you would expect)
|
|
||||||
tibble(now_what = c(1.2345, 2345.67, 321.456))
|
|
||||||
|
|
||||||
# also supports info about groups (look at header)
|
|
||||||
starwars \%>\% group_by(homeworld, gender)
|
|
||||||
}
|
|
@ -1,11 +0,0 @@
|
|||||||
context("print.R")
|
|
||||||
|
|
||||||
|
|
||||||
test_that("tibble printing works", {
|
|
||||||
library(dplyr)
|
|
||||||
library(data.table)
|
|
||||||
expect_output(print(starwars))
|
|
||||||
expect_output(print(starwars %>% group_by(homeworld, gender)))
|
|
||||||
expect_output(print(starwars %>% as.data.table(), print.keys = TRUE))
|
|
||||||
expect_output(print(septic_patients))
|
|
||||||
})
|
|
Loading…
Reference in New Issue
Block a user