Provides a small collection of datasets supporting Pearson correlation 
    and linear regression analysis. It includes the precomputed dataset 'sos100', 
    with integer values summing to zero and squared sum equal to 100. For other 
    values of 'n' and user-defined parameters, the 'sos()' function from the 
    'exams.forge' package can be used to generate datasets on the fly. In addition, 
    the package contains around 500 german R Markdown exercises that illustrate the usage 
    of 'exams.forge' commands.

Randomized multiple-select and single-select
  question generation for the 'MyLearn' teaching and learning
  platform. Question templates
  in the form of the R/exams package (see <http://www.r-exams.org/>)
  are transformed into XML format required by 'MyLearn'.

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

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.

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.