Description: Contains methods associated with the Define, Measure, Analyze, Improve and Control (i.e. DMAIC) cycle of the Six Sigma Quality Management methodology.It covers distribution fitting, normal and non-normal process capability indices, techniques for Measurement Systems Analysis especially gage capability indices and Gage Repeatability (i.e Gage RR) and Reproducibility studies, factorial and fractional factorial designs as well as response surface methods including the use of desirability functions. Improvement via Six Sigma is project based strategy that covers 5 phases: Define - Pareto Chart; Measure - Probability and Quantile-Quantile Plots, Process Capability Indices for various distributions and Gage RR Analyze i.e. Pareto Chart, Multi-Vari Chart, Dot Plot; Improve - Full and fractional factorial, response surface and mixture designs as well as the desirability approach for simultaneous optimization of more than one response variable. Normal, Pareto and Lenth Plot of effects as well as Interaction Plots; Control - Quality Control Charts can be found in the 'qcc' package. The focus is on teaching the statistical methodology used in the Quality Sciences.
Depends: R(>= 2.15.0), graphics, methods, Rsolnp, MASS

Title: Unified Framework for Data Quality Control
Description: An easy framework to set a quality control workflow on a dataset.
Includes a various range of functions that allow to establish an adaptable
Imports: dplyr, stringr, janitor, openxlsx, readxl
Packaged: 2022-11-25 13:16:49 UTC; jjferreira-admin

Title: Opinionated Approach for Digitizing Semi-Structured Qualitative
Authors@R: person("Christopher", "Prener", email = "chris.prener@slu.edu",
Description: Provides a set of functions for taking qualitative GIS data, hand drawn on a map, and
converting it to a simple features object. These tools are focused on data that are drawn on a map
that contains some type of polygon features. For each area identified on the map, the id numbers
of these polygons can be entered as vectors and transformed using qualmap.
Imports: dplyr, glue, leaflet, purrr, rlang, sf
Suggests: covr, ggplot2, testthat, tigris, tidycensus, knitr, rmarkdown
Author: Christopher Prener [aut, cre] (<https://orcid.org/0000-0002-4310-9888>)