getBlockAverageMap: Gets a index map for averaging blocks of data
In HenrikBengtsson/aroma.cn.eval: Objective Assessment of Copy-Number Estimates
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Gets a index map for averaging blocks of data.
Usage
1
2
## Default S3 method:
getBlockAverageMap(n, h=1, s=0, ...)
Arguments
n
An integer specifying the total number of data points
to average over.
h
An integer (or double) specifying the (average) number
of data points to average over in each block.
s
An (optional) positive integer specifying amount of shift.
...
Not used.
Value
Returns an integer vector of indices.
The double attribute hApprox specifies the on average number of
data points in each block.
Author(s)
Henrik Bengtsson
See Also
Examples
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# Blocks of two and two
map <- getBlockAverageMap(n=20, h=2)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## [1,] 1 3 5 7 9 11 13 15 17 19
## [2,] 2 4 6 8 10 12 14 16 18 20
## attr(,"hApprox")
## [1] 2
# Blocks of three and three
map <- getBlockAverageMap(n=21, h=3)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7]
## [1,] 1 4 7 10 13 16 19
## [2,] 2 5 8 11 14 17 20
## [3,] 3 6 9 12 15 18 21
## attr(,"hApprox")
## [1] 3
# Blocks of three and three (dropping non-complete blocks)
map <- getBlockAverageMap(n=20, h=3)
print(map)
## [,1] [,2] [,3] [,4] [,5]
## [1,] 1 4 7 10 13
## [2,] 2 5 8 11 14
## [3,] 3 6 9 12 15
## attr(,"hApprox")
## [1] 3
# Blocks with on average 2.5 data points
map <- getBlockAverageMap(n=20, h=2.5)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] 1 4 6 9 11 13 16 18
## [2,] 2 5 7 10 12 14 17 19
## [3,] 3 NA 8 NA NA 15 NA 20
## attr(,"hApprox")
## [1] 2.5
# Blocks with on average 2.5 data points (shifted one position)
map <- getBlockAverageMap(n=20, h=2.5, s=1)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] 1 4 7 9 12 14 16 19
## [2,] 2 5 8 10 13 15 17 20
## [3,] 3 6 NA 11 NA NA 18 NA
## attr(,"hApprox")
## [1] 2.5
# Blocks with on average 2.5 data points (shifted two positions)
map <- getBlockAverageMap(n=20, h=2.5, s=2)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] 1 3 6 9 11 14 16 18
## [2,] 2 4 7 10 12 15 17 19
## [3,] NA 5 8 NA 13 NA NA 20
## attr(,"hApprox")
## [1] 2.5
# Blocks with on average ~2.4 data points (becomes ~2.364)
map <- getBlockAverageMap(n=28, h=2.4)
str(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11]
## [1,] 1 4 6 8 11 13 16 18 20 23 25
## [2,] 2 5 7 9 12 14 17 19 21 24 26
## [3,] 3 NA NA 10 NA 15 NA NA 22 NA NA
## attr(,"hApprox")
## [1] 2.363636
HenrikBengtsson/aroma.cn.eval documentation built on Dec. 9, 2019, 12:16 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Gets a index map for averaging blocks of data.
Usage
1 2 | ## Default S3 method:
getBlockAverageMap(n, h=1, s=0, ...)
|
Arguments
n |
An |
h |
An |
s |
An (optional) positive |
... |
Not used. |
Value
Returns an integer vector of indices.
The double attribute hApprox specifies the on average number of
data points in each block.
Author(s)
Henrik Bengtsson
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 | # Blocks of two and two
map <- getBlockAverageMap(n=20, h=2)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
## [1,] 1 3 5 7 9 11 13 15 17 19
## [2,] 2 4 6 8 10 12 14 16 18 20
## attr(,"hApprox")
## [1] 2
# Blocks of three and three
map <- getBlockAverageMap(n=21, h=3)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7]
## [1,] 1 4 7 10 13 16 19
## [2,] 2 5 8 11 14 17 20
## [3,] 3 6 9 12 15 18 21
## attr(,"hApprox")
## [1] 3
# Blocks of three and three (dropping non-complete blocks)
map <- getBlockAverageMap(n=20, h=3)
print(map)
## [,1] [,2] [,3] [,4] [,5]
## [1,] 1 4 7 10 13
## [2,] 2 5 8 11 14
## [3,] 3 6 9 12 15
## attr(,"hApprox")
## [1] 3
# Blocks with on average 2.5 data points
map <- getBlockAverageMap(n=20, h=2.5)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] 1 4 6 9 11 13 16 18
## [2,] 2 5 7 10 12 14 17 19
## [3,] 3 NA 8 NA NA 15 NA 20
## attr(,"hApprox")
## [1] 2.5
# Blocks with on average 2.5 data points (shifted one position)
map <- getBlockAverageMap(n=20, h=2.5, s=1)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] 1 4 7 9 12 14 16 19
## [2,] 2 5 8 10 13 15 17 20
## [3,] 3 6 NA 11 NA NA 18 NA
## attr(,"hApprox")
## [1] 2.5
# Blocks with on average 2.5 data points (shifted two positions)
map <- getBlockAverageMap(n=20, h=2.5, s=2)
print(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
## [1,] 1 3 6 9 11 14 16 18
## [2,] 2 4 7 10 12 15 17 19
## [3,] NA 5 8 NA 13 NA NA 20
## attr(,"hApprox")
## [1] 2.5
# Blocks with on average ~2.4 data points (becomes ~2.364)
map <- getBlockAverageMap(n=28, h=2.4)
str(map)
## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11]
## [1,] 1 4 6 8 11 13 16 18 20 23 25
## [2,] 2 5 7 9 12 14 17 19 21 24 26
## [3,] 3 NA NA 10 NA 15 NA NA 22 NA NA
## attr(,"hApprox")
## [1] 2.363636
|
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