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.

An R interface to 'jExcel' library to create web-based interactive tables and spreadsheets compatible with 'Excel' or any other spreadsheet software.

Implementation of a function which calculates the empirical excess mass 
	for given \eqn{\lambda} and given maximal number of modes (excessm()). Offering 
	powerful plot features to visualize empirical excess mass (exmplot()). This 
	includes the possibility of drawing several plots (with different maximal 
	number of modes / cut off values) in a single graph.

Implementation of method for estimating excess mortality and other health related outcomes from weekly or daily count data described in Acosta and Irizarry (2021) "A Flexible Statistical Framework for Estimating Excess Mortality".

Data that are collected through online sources such as
    Mechanical Turk may require excluding rows because of IP address
    duplication, geolocation, or completion duration. This package
    facilitates exclusion of these data for Qualtrics datasets.

Instead of counting observations before and after a subset() 
    call, the ExclusionTable() function reports the number before and after 
    each subset() call together with the number of observations that have been 
    excluded. This is especially useful in observational studies for keeping 
    track how many observations have been excluded for each in-/ or 
    exclusion criteria. You just need to provide ExclusionTable() with a 
    dataset and a list of logical filter statements.