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Title: Kappa R

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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   
5.   y =Matrix for the second rater\x92s ratings, where element y(i,j) represents the rater\x92s rating on the ith subject at time j
6.   Weight=Indicator of weight. Where weight=1 for unweighted kappa; weith
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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This topic: CTSpedia > WebHome > StatToolsHome > StatToolsTopic050
Topic revision: 06 Apr 2012, MaryBanach
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