No packages match

DAAG - Data Analysis and Graphics Data and Functions

Functions and data sets used in examples and exercises in the text Maindonald, J.H. and Braun, W.J. (2003, 2007, 2010) "Data Analysis and Graphics Using R", and in an upcoming Maindonald, Braun, and Andrews text that builds on this earlier text.

Last updated

7.79 score 1.7k scripts 3.5k downloads

CC - Control Charts

Tools for creating and visualizing statistical process control charts. Control charts are used for monitoring measurement processes, such as those occurring in manufacturing. The objective is to monitor the history of such processes and flag outlying measurements: out-of-control signals. Montgomery, D. (2009, ISBN:978-0-470-16992-6) contains an extensive discussion of the methodology.

Last updated

3.60 score 402 scripts 335 downloads

MPV - Data Sets from Montgomery, Peck and Vining

Most of this package consists of data sets from the textbook Introduction to Linear Regression Analysis (3rd ed), by Montgomery, Peck and Vining. Some additional data sets and functions are also included.

Last updated

3.13 score 274 scripts 2.4k downloads

MiscMath - Miscellaneous Mathematical Tools

Some basic math calculators for finding angles for triangles and for finding the greatest common divisor of two numbers and so on.

Last updated

1.00 score 223 downloads

mcODE - Monte Carlo Solution of First Order Differential Equations

Two functions for simulating the solution of initial value problems of the form g'(x) = G(x, g) with g(x0) = g0. One is an acceptance-rejection method. The other is a method based on the Mean Value Theorem.

Last updated

1.00 score 1 scripts 190 downloads

sharpData - Data Sharpening

Functions and data sets inspired by data sharpening - data perturbation to achieve improved performance in nonparametric estimation, as described in Choi, E., Hall, P. and Rousson, V. (2000). Capabilities for enhanced local linear regression function and derivative estimation are included, as well as an asymptotically correct iterated data sharpening estimator for any degree of local polynomial regression estimation. A cross-validation-based bandwidth selector is included which, in concert with the iterated sharpener, will often provide superior performance, according to a median integrated squared error criterion. Sample data sets are provided to illustrate function usage.

Last updated

1.00 score 226 downloads