[R] Meeting announcement: An Introduction to Data Analysis Using R
*An Introduction to Data Analysis Using R* by Paul Mathews for The Quality Managers Network, Lakeland Community College, Kirtland, Ohio 26 January 2007, 7:30-9:00 AM, Room T136. R is free software used for graphical and statistical data analysis that can be downloaded from the Internet. Because R code is written and shared by many people around the world, it has a tremendous range of capabilities. Consequently, most graphical and statistical methods that have been implemented in any commercially-available statistical software package have been implemented in R. Paul Mathews will present an introduction to data analysis using R including: * How to obtain and install R and R packages. * How to access limited R functions from the R Commander GUI package. * How to enter your data into R. * How to graph your data. * How to perform basic statistical analyses. * How to analyze designed experiments. * How to save your work. * How to learn more about R. -- Paul Mathews Mathews Malnar and Bailey, Inc. 217 Third Street, Fairport Harbor, OH 44077 Phone: 440-350-0911 Fax: 440-350-7210 E-mail: Paul: [EMAIL PROTECTED], [EMAIL PROTECTED] Rebecca: [EMAIL PROTECTED], [EMAIL PROTECTED] Web: www.mmbstatistical.com __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Response to query re: calculating intraclass correlations
Karl, If you use one of the specialized packages to calculate your ICC, make sure that you know what you're getting. (I haven't checked the packages out myself, so I don't know either.) You might want to read David Futrell's article in the May 1995 issue of Quality Progress where he describes six different ways to calculate ICCs from the same data set, all with different interpretations. All of the inputs for these calculations come from the repeated measures analysis which is described in P&B. Good luck! P. Message: 1 Date: Tue, 16 May 2006 10:09:54 + (GMT) From: Karl Knoblick <[EMAIL PROTECTED]> Subject: [R] Interrater and intrarater variability (intraclass correlation coefficients) To: r-help@stat.math.ethz.ch Message-ID: <[EMAIL PROTECTED]> Content-Type: text/plain; charset=us-ascii Hello! I want to calculate the intra- and interrater reliability of my study. The design is very simple, 5 raters rated a diagnostic score 3 times for 19 patients. Are there methods/funtions in R? I only found packages to calculate interrater variability and intraclass correlation coefficients for matrices of n*m (n subjects, m raters) - I have n subjects, m raters and r repetitions. Can anybody help? Thanks! Karl -- Paul Mathews Mathews Malnar and Bailey, Inc. 217 Third Street, Fairport Harbor, OH 44077 Phone: 440-350-0911 Fax: 440-350-7210 E-mail: Paul: [EMAIL PROTECTED], [EMAIL PROTECTED] Rebecca: [EMAIL PROTECTED], [EMAIL PROTECTED] Web: www.mmbstatistical.com __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] R code to reproduce solutions to example problems in Mathews, Design of Experiments with MINITAB
The R code to reproduce the solutions to the example problems in Design of Experiments with MINITAB by Paul Mathews (ASQ Quality Press, 2005) is now posted at http://www.mmbstatistical.com/DOEwithMINITAB.html. Enjoy! Paul Mathews -- Paul Mathews Mathews Malnar and Bailey, Inc. 217 Third Street, Fairport Harbor, OH 44077 Phone: 440-350-0911 Fax: 440-350-7210 E-mail: Paul: [EMAIL PROTECTED], [EMAIL PROTECTED] Rebecca: [EMAIL PROTECTED], [EMAIL PROTECTED] Web: www.mmbstatistical.com __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
