Browse code

Replace sample.CNSet and sample.CNSet2 with cnSetExample and cnSetExample2

git-svn-id: file:///home/git/hedgehog.fhcrc.org/bioconductor/trunk/madman/Rpacks/crlmm@59039 bc3139a8-67e5-0310-9ffc-ced21a209358

Rob Scharp authored on 11/10/2011 12:17:42
Showing 1 changed files
... ...
@@ -73,11 +73,11 @@ log-scale the variance is rougly constant for CA, CB > 0).
73 73
 }
74 74
 
75 75
 \examples{
76
-data(sample.CNSet)
77
-Ns(sample.CNSet)[1:5, , ]
78
-corr(sample.CNSet)[1:5, , ]
79
-meds <- medians(sample.CNSet)
80
-mads(sample.CNSet)[1:5, , ,]
81
-tau2(sample.CNSet)[1:5, , ,]
76
+data(cnSetExample)
77
+Ns(cnSetExample)[1:5, , ]
78
+corr(cnSetExample)[1:5, , ]
79
+meds <- medians(cnSetExample)
80
+mads(cnSetExample)[1:5, , ,]
81
+tau2(cnSetExample)[1:5, , ,]
82 82
 }
83 83
 \keyword{manip}
Browse code

Update batchStatisticAccessors.Rd

git-svn-id: file:///home/git/hedgehog.fhcrc.org/bioconductor/trunk/madman/Rpacks/crlmm@58647 bc3139a8-67e5-0310-9ffc-ced21a209358

Rob Scharp authored on 01/10/2011 04:48:44
Showing 1 changed files
... ...
@@ -28,16 +28,12 @@ Ns(object,...)
28 28
 
29 29
 \arguments{
30 30
   \item{object}{  An object of class \code{CNSet}.}
31
-  \item{\dots}{
32
-  An additional argument named 'i' can be passed to subset the markers
33
-  and an argument 'j' can be passed to subset the batches.  Other
34
-  arguments are ignored.
35
-  }
31
+  \item{\dots}{Ignored}
36 32
 }
37 33
 
38 34
 \value{
39
-	
40
-An array with dimension R x A x G x C, or R x G x C.  
35
+
36
+An array with dimension R x A x G x C, or R x G x C.
41 37
 
42 38
 R: number of markers
43 39
 A: number of alleles (2)
... ...
@@ -78,11 +74,10 @@ log-scale the variance is rougly constant for CA, CB > 0).
78 74
 
79 75
 \examples{
80 76
 data(sample.CNSet)
81
-## All NAs. Need to replace sample.CNSet with a HapMap example
82
-Ns(cnSet, i=1:5, j=1:2)
83
-corr(cnSet, i=1:5, j=1:2)
84
-medians(cnSet, i=1:5, j=1:2)
85
-mads(cnSet, i=1:5, j=1:2)
86
-tau2(cnSet, i=1:5, j=1:2)
77
+Ns(sample.CNSet)[1:5, , ]
78
+corr(sample.CNSet)[1:5, , ]
79
+meds <- medians(sample.CNSet)
80
+mads(sample.CNSet)[1:5, , ,]
81
+tau2(sample.CNSet)[1:5, , ,]
87 82
 }
88 83
 \keyword{manip}
Browse code

update sample.CNSet

git-svn-id: file:///home/git/hedgehog.fhcrc.org/bioconductor/trunk/madman/Rpacks/crlmm@53580 bc3139a8-67e5-0310-9ffc-ced21a209358

Rob Scharp authored on 10/03/2011 19:31:11
Showing 1 changed files
... ...
@@ -77,10 +77,8 @@ log-scale the variance is rougly constant for CA, CB > 0).
77 77
 }
78 78
 
79 79
 \examples{
80
-data(sample.CNSetLM)
81
-## update to class CNSet
82
-cnSet <- as(sample.CNSetLM, "CNSet")
83
-## All NAs. Need to replace sample.CNSetLM with a HapMap example
80
+data(sample.CNSet)
81
+## All NAs. Need to replace sample.CNSet with a HapMap example
84 82
 Ns(cnSet, i=1:5, j=1:2)
85 83
 corr(cnSet, i=1:5, j=1:2)
86 84
 medians(cnSet, i=1:5, j=1:2)
Browse code

changed copynumber vignette to call genotype, not genotypeLD.

git-svn-id: file:///home/git/hedgehog.fhcrc.org/bioconductor/trunk/madman/Rpacks/crlmm@49145 bc3139a8-67e5-0310-9ffc-ced21a209358

Rob Scharp authored on 30/08/2010 19:41:17
Showing 1 changed files
1 1
new file mode 100644
... ...
@@ -0,0 +1,90 @@
1
+\name{batchStatisticAccessors}
2
+\alias{Ns}
3
+\alias{corr}
4
+\alias{tau2}
5
+\alias{mads}
6
+\alias{medians}
7
+
8
+\title{
9
+
10
+	Accessors for batch-specific summary statistics.
11
+
12
+}
13
+
14
+\description{
15
+
16
+	The summary statistics stored here are used by the tools for
17
+	copy number estimation.
18
+
19
+}
20
+
21
+\usage{
22
+corr(object, ...)
23
+tau2(object, ...)
24
+mads(object,...)
25
+medians(object,...)
26
+Ns(object,...)
27
+}
28
+
29
+\arguments{
30
+  \item{object}{  An object of class \code{CNSet}.}
31
+  \item{\dots}{
32
+  An additional argument named 'i' can be passed to subset the markers
33
+  and an argument 'j' can be passed to subset the batches.  Other
34
+  arguments are ignored.
35
+  }
36
+}
37
+
38
+\value{
39
+	
40
+An array with dimension R x A x G x C, or R x G x C.  
41
+
42
+R: number of markers
43
+A: number of alleles (2)
44
+G: number of biallelic genotypes (3)
45
+C: number of batches
46
+
47
+\code{Ns} returns an array of genotype frequencies stratified by
48
+batch.  Dimension R x G x C.
49
+
50
+\code{corr} returns an array of within-genotype correlations
51
+(log2-scale) stratified by batch. Dimension R x G x C.
52
+
53
+\code{medians} returns an array of the within-genotype medians
54
+(intensity-scale) stratified by batch and allele. Dimension R x A x G
55
+x C.
56
+
57
+\code{mads} returns an array of the within-genotype median absolute
58
+deviations (intensity-scale) stratified by batch and allele. Dimension
59
+is the same as for \code{medians}.
60
+
61
+\code{tau2} returns an array of the squared within-genotype median
62
+absolute deviation on the log-scale.  Only the mads for AA and BB
63
+genotypes are stored.  Dimension is R x A x G x C, where G is AA or
64
+BB.  Note that the mad for allele A/B for subjects with genotype BB/AA
65
+is a robust estimate of the background variance, whereas the the mad
66
+for allele A/B for subjects with genotype AA/BB is a robust estimate
67
+of the variance for copy number greater than 0 (we assume that on the
68
+log-scale the variance is rougly constant for CA, CB > 0).
69
+
70
+}
71
+
72
+
73
+\seealso{
74
+
75
+	\code{\link{batchStatistics}}
76
+
77
+}
78
+
79
+\examples{
80
+data(sample.CNSetLM)
81
+## update to class CNSet
82
+cnSet <- as(sample.CNSetLM, "CNSet")
83
+## All NAs. Need to replace sample.CNSetLM with a HapMap example
84
+Ns(cnSet, i=1:5, j=1:2)
85
+corr(cnSet, i=1:5, j=1:2)
86
+medians(cnSet, i=1:5, j=1:2)
87
+mads(cnSet, i=1:5, j=1:2)
88
+tau2(cnSet, i=1:5, j=1:2)
89
+}
90
+\keyword{manip}