NEWS.md for the development version use
Some improvements in the documentation of the package has been made.
read_excel_allsheets() The function has a new
parameter which allows the user to keep the ouput as a list or as a
tibble when there is only one tab in the input excel file.
get_xxx() functions to navigate in tibble have been
modified to exclude index dependancy and be more coherente to each
New Imports: xfun, lifecycle
No longer in Imports: ggplot2, plotly, DT
bookdown_template() replaces the deprecated function
bookdown_template() to improve stability (no more
dependency of a github repo) and open new possibilities. Such as:
bookdown_render() which renders a Rmd collection of
files into a docs/index.html website.
bookdown_open() Which allows to open a
docs/index.html document when the bookdown is rendered
This separation into 3 functions will allow future developments, such as render as a ppt or pdf.
Due to another package development (see madshapR), all functions plot_xxx() and summary_xxx() have been deprecated in favor of variable_visualize)
This package is a collection of wrapper functions used in data pipelines.
This is still a work in progress, so please let me know if you used a function before and is not working any longer.
These functions allows to create, read and search into a tibble listing files in a specified folder (recursively) with file path name and other useful metadata. This index can be used to quickly find files in the environment. The index also generates script to read files as R objects into the environment. Names for R objects are generated automatically from file names (R objects are not created at this step but the command line is generated and stored in the column to_eval, ready to be evaluated and generate R objects).
collect_roxygen() is a helper function that can read a
structured documentation of a package and turn it into a tibble.
add_index() adds a extra column in a tibble which is
index of observations.
Create or test for objects of type “logical”, and the basic logical constants. This function is a wrapper of the function base::as.logical() and evaluates if the object to be coerced can be interpreted as a boolean. Any object : NA, NA_integer, NA_Date_, (…), 0, 0L, F, FALSE, false, FaLsE, (…), 1, 1L,T, TRUE, true, TrUe, (…), will be converted as NA, FALSE and TRUE. Any other other will return an error.
These function takes a character string or a vector. This vector evaluates one observation after the other, and casts the best matching date format for each of them (independently). The best matching format is tested across seven different formats provided by the lubridate library. The user can specify the wanted matching format.
Create or test for objects of type “symbol”.
silently_run() allows to generate code avoiding
suppressMessages, suppressWarnings, try and tryCatch.
parceval() reads and evaluate a string character as
a code and runs it.
message_on_prompt() allows to run text to prompt in
fabR_help()Call the help center for full documentation
make_name_list() Generate a name for an element in a
list. This function is targeted for functions creations which handle
get_path_list() Function that recursively go through
a list object and store in a tibble the path of each element in the
list. The paths can be after that edited and accessed using
parceval() for example.
These helper functions evaluate content of a column to extract what they are supposed to extract for all observations.
read_csv_any_formats() The csv file is read twice to
detect the number of lines to use in attributing the column type
(‘guess_max’ parameter of read_csv). This avoids common errors when
reading csv files.
read_excel_allsheets() The Excel file is read and
the values are placed in a list of tibbles, with each sheet in a
separate element in the list. If the Excel file has only one sheet, the
output is a single tibble.
write_excel_allsheets() Write all Excel sheets using
These functions draw a plot or create datatable of the values of a column. Missing values can be given as input to non-valid and valid values separately, or grouped by another column. The output can be editable (using plotly library) or static (using ggplot2 library). The R-code is also editable for coding recycling purpose.
template_visual_report() is a helper function creates a
template for the visual report bookdown. This template is taken from the
following link: https://github.com/jtr13/bookdown-template/archive/refs/heads/master.zip
The plot_xxx() and summary_xxx() functions can be used to generate code in R chunks.