| Type: | Package |
| Title: | Rank Tests for Clustered Data |
| Version: | 1.0 |
| Date: | 2016-04-21 |
| Author: | Sandipan Dutta, Somnath Datta |
| Maintainer: | Sandipan Dutta <sandipan.dutta07@gmail.com> |
| Description: | Nonparametric rank based tests (rank-sum tests and signed-rank tests) for clustered data, especially useful for clusters having informative cluster size and intra-cluster group size. |
| License: | GPL-2 | GPL-3 |
| Depends: | graphics, stats, utils |
| Packaged: | 2016-04-27 05:43:24 UTC; sandy |
| NeedsCompilation: | no |
| Repository: | CRAN |
| Date/Publication: | 2016-04-28 11:49:57 |
Rank Tests for Clustered Data
Description
This package consists of methods that compute rank based tests for clustered data.
Details
| Package: | ClusterRankTest |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2016-04-21 |
| License: | GPL-2 | GPL-3 |
Author(s)
Sandipan Dutta, Somnath Datta
Maintainer: Sandipan Dutta <sandipan.dutta07@gmail.com>
Cluster Rank Test
Description
This package consists of methods that compute rank based tests for clustered data.
Usage
clus.rank.sum(Cluster, X, grp = NULL, Y = NULL, test = c("DS", "DD", "SDS"))
Arguments
Cluster |
Cluster ID |
X |
Outcome variable |
grp |
Binary group indicator variable (0 or 1) if test= "DS" or "DD" |
Y |
Matched outcome variable if test="SDS" |
test |
"DS" =Datta-Satten rank-sum test, "DD" = Dutta-Datta rank-sum test, "SDS" = Data-Satten signed rank test |
Value
pvalue |
P-value for the test |
Test Statistic |
Test statistic value for the test |
References
Datta, S., and Satten, G. A. (2005). Rank-sum tests for clustered data. Journal of the American Statistical Association, 100, 908-915.
Datta, S., and Satten, G. A. (2008). A Signed-rank test for clustered data. Biometrics, 64, 501-507.
Dutta, S., and Datta, S. (2015). A rank-sum test for clustered data when the number of subjects in a group within a cluster is informative. Biometrics, doi: 10.1111/biom.12447.
Examples
Cluster<-c(1,1,2,2,2,2,3,3,3)
X<-c(1,4,2,4,6,7,4,7,8)
grp<-c(0,1,0,0,1,1,1,0,1)
dataset <- list(Cluster,X,grp)
clus.rank.sum(Cluster, X, grp, test="DS")
dataset
Description
The dataset has three columns. The first two columns will be 'Cluster ID' and 'X'(outcome). The third column will be either 'Group Indicator' (for rank-sum tests) or 'Y'(paired outcome for signed-rank tests).
Usage
data("dataset")Print function.
Description
Prints the p-value and the test statistic.