Automatic generation of quizzes or individual questions as (interactive) forms within 'rmarkdown' or 'quarto' documents based on 'R/exams' exercises.

Automatic generation of quizzes or individual questions for 'learnr' tutorials based on 'R/exams' exercises.

Automatic Generation of Exams in R for 'Sakai'.
  Question templates in the form of the 'exams' package (see <https://www.r-exams.org/>)
  are transformed into XML format required by 'Sakai'.

Provides methods for constructing confidence or credible regions
    for exceedance sets and contour lines.

Allows access to data in running instance of Microsoft Excel
    (e. g. 'xl[a1] = xl[b2]*3' and so on). Graphics can be transferred with
    'xl[a1] = current.graphics()'. Additionally there are function for reading/writing 
    'Excel' files - 'xl.read.file'/'xl.save.file'. They are not fast but able to read/write 
    '*.xlsb'-files and password-protected files. There is an Excel workbook with 
    examples of calling R from Excel in the 'doc' folder. It tries to keep things as
    simple as possible - there are no needs in any additional
    installations besides R, only 'VBA' code in the Excel workbook.
    Microsoft Excel is required for this package.

Split experiment sentences by different experiment design given by the user and the result can be used in 'E-prime' (<https://pstnet.com/products/e-prime/>).

A small group of functions to read in a data dictionary and the
    corresponding data table from 'Excel' and to automate the cleaning, re-coding
    and creation of simple calculated variables. This package was designed to
    be a companion to the macro-enabled 'Excel' template available
    on the GitHub site, but works with any similarly-formatted 'Excel' data.

Implements 'Excel' functions in 'R' for your calculation simplicity.You can use most of the aggregate functions, addressing functions,logical functions and text functions. Helps you a ton in learning how 'R' works as some 'Excel' users might be struggling with the program.