Correlation chart of two set (x and y) of data.  
  Using Quartiles with boxplot style. 
  Visualize the effect of factor.

An R interface for the remote file hosting service 'Box'
    (<https://www.box.com/>). In addition to uploading and downloading files,
    this package includes functions which mirror base R operations for local
    files, (e.g. box_load(), box_save(), box_read(), box_setwd(), etc.), as well
    as 'git' style functions for entire directories (e.g. box_fetch(),
    box_push()).

A comprehensive package to aid in the analysis of blood pressure data of all forms by providing both descriptive and visualization tools for researchers.

Run basic pattern analyses on character sets, digits, or combined
    input containing both characters and numeric digits. Useful for data
    cleaning and for identifying columns containing multiple or nonstandard
    formats.

A comprehensive statistical analysis of the accuracy of blood
         pressure devices based on the method of AAMI/ANSI SP10 standards
         developed by the AAMI Sphygmomanometer Committee for indirect
         measurement of blood pressure, incorporated into IS0 81060-2. The 
         'bpAcc' package gives the exact probability 'of accepting a device D'
         derived from the join distribution of the sample standard deviation
         and a non-linear transformation of the sample mean for a specified
         sample size introduced by Chandel et al. (2023) and by the Association
         for the Advancement of Medical Instrumentation (2003, ISBN:1-57020-183-8).

Implementation of the nonparametric bounds for the average
    causal effect under an instrumental variable model by Balke and Pearl
    (Bounds on Treatment Effects from Studies with Imperfect Compliance,
    JASA, 1997, 92, 439, 1171-1176, <doi:10.2307/2965583>). The package
    can calculate bounds for a binary outcome, a binary
    treatment/phenotype, and an instrument with either 2 or 3 categories.
    The package implements bounds for situations where these 3 variables
    are measured in the same dataset (trivariate data) or where the
    outcome and instrument are measured in one study and the
    treatment/phenotype and instrument are measured in another study
    (bivariate data).