Type of Tool | R-Function |
Title | Kappa R |
Programmer/Email | Yan Ma |
Contributing Site | Rochester |
Description | This R function is to calculate kappa statistics based on U- statistics. It compares two raters\x92 ratings within a longitudinal data setting. |
Classification Graph Type | |
References | Ma Y, Tang W, Feng C, and Tu X.M. "Inference for Kappas for Longitudinal Study Data: Applications to Sexual Health Research" Biometrics 2008 64: 781-789. |
Datasets | |
Data | |
Software Program | R |
Software | R |
Macro Parameters | The required parameters (n, g, t, x, y, weight): 1. n=Number of subjects 2. g=Number of categories 3. t= Number of time points 4. x Matrix for the first rater\x92s ratings, where element x(i,j) represents the rater\x92s rating on the ith subject at time j 2 for Cicchetti-Allison weighted kappa; weight=3 for Fleiss-Cohen weighted kappa. |
R-Code - Attachment | Rochester_Kappa Statistics_R Function |
R-Code | |
SAS-Code - Attachment | |
SAS-Code | |
Stata-Code - Attachment | |
Stata-Code | |
Other Code - Attachment | |
Other Code | |
Called Data Manipulation | |
Called Tool/Utility | |
Called Checking Macro | |
Called Other | |
Creation-Date | |
Revision-Date | December 20, 2010 |
Example Code | R Example Code |
Example Output | R Example Output |
SAS Examples | |
SAS_Example_Code | |
SAS_Example_Output | |
R Examples | |
R_Example_Code | Rochester_Kappa Example_R Example Code |
R_Example_Output | Rochester_Kappa Statistics_ R Example Output |
Stats Examples | |
Special Features | |
Special Features Attached | |
Special Features Text | |
Notes1-Legend | Section with calls to needed macros |
Notes1 | |
Notes2-Legend | Macro call with fully specified parameters |
Notes2 | |
Notes3-Legend | Section with definitions of global macro parameters |
Notes3 | |
Notes4-Legend | Section with definitions of local macro variables |
Notes4 | |
See Also | |
Checklists | |
Stat Tools Disclaimer | This R function is developed by Dr. Yan Ma from Weill Cornell Medical College , along with other members in the Department of Biostatistics and Computational Biology at the University of Rochester under the auspice of the CTSI BERD with the intent to facilitate data analyses and reporting in clinical and related research. It is copyrighted by Dr. Yan Ma on December 20, 2010 and distributed for free public access. |
Discliamer | The views expressed within CTSpedia are those of the author and must not be taken to represent policy or guidance on the behalf of any organization or institution with which the author is affiliated. |
Permission | Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF ERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT OLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
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