as.array.RdConverts antsImage, antsImage object to different data types
# S4 method for class 'antsImage'
dim(x)
# S4 method for class 'antsImage'
as.numeric(
x,
mask = logical(),
region = new("antsRegion", index = integer(), size = integer())
)
# S4 method for class 'antsImage'
as.matrix(
x,
mask = logical(),
region = new("antsRegion", index = integer(), size = integer())
)
# S3 method for class 'antsImage'
as.matrix(
x,
...,
mask = logical(),
region = new("antsRegion", index = integer(), size = integer())
)
# S4 method for class 'antsImage'
as.array(
x,
...,
mask = logical(),
region = new("antsRegion", index = integer(), size = integer())
)
# S3 method for class 'antsImage'
as.array(
x,
...,
mask = logical(),
region = new("antsRegion", index = integer(), size = integer())
)
# S3 method for class 'antsImage'
as.character(
x,
...,
mask = logical(),
region = new("antsRegion", index = integer(), size = integer())
)
# S3 method for class 'antsImage'
as.factor(
x,
...,
mask = logical(),
region = new("antsRegion", index = integer(), size = integer())
)
# S3 method for class 'antsImage'
factor(
x,
...,
mask = logical(),
region = new("antsRegion", index = integer(), size = integer())
)
# S4 method for class 'antsMatrix'
as.data.frame(x)
# S3 method for class 'antsMatrix'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
# S4 method for class 'antsMatrix'
as.matrix(x, ...)
# S4 method for class 'antsMatrix'
as.list(x, ...)object of class antsImage or antsMatrix
a logical vector/array or binary antsImage object
a antsRegion object
additional arguments passed to functions
NULL or a character vector giving the row names for the data frame.
passsed to as.data.frame
outimg <- makeImage(c(2, 10), rnorm(20))
as.numeric(outimg)
#> [1] -0.8303334 -0.3305072 0.4604936 -0.6563421 -0.3781555 1.1183547
#> [7] 0.2274395 2.5906198 -0.6351785 1.7501756 -1.1720721 1.0495965
#> [13] 0.5643830 0.5437695 -1.0845296 -0.1811853 0.4749569 1.0758240
#> [19] 0.1859011 1.8439982
as.numeric(outimg, mask = outimg > 1)
#> [1] 1.118355 2.590620 1.750176 1.049597 1.075824 1.843998
testthat::expect_error(as.numeric(outimg, mask = outimg))
outimg <- makeImage(c(2, 10), rnorm(20))
as.matrix(outimg)
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.6066542 0.06934598 -0.2925284 2.0681388 -1.38697588 1.744706
#> [2,] -2.4362910 -0.99740183 2.1186090 -0.7789312 0.05166117 -0.972547
#> [,7] [,8] [,9] [,10]
#> [1,] 0.8276192 -0.9609936 -0.6909622 -0.9567785
#> [2,] 1.5244150 -0.3003244 0.9109361 2.1231165
as.matrix(outimg, mask = outimg > 1)
#> [1] 2.118609 2.068139 1.744706 1.524415 2.123116
testthat::expect_error(as.matrix(outimg, mask = outimg))
outimg <- makeImage(c(2, 10, 2), rnorm(40))
testthat::expect_error(as.matrix(outimg))
outimg <- makeImage(c(2, 10), rnorm(20))
as.matrix(outimg)
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] -1.093170 0.2194021 2.0078773 0.4841203 0.9556783 -1.592213 0.8964679
#> [2,] 1.447085 2.6247590 -0.4590932 0.6331063 -0.8749049 -2.217829 -0.3062906
#> [,8] [,9] [,10]
#> [1,] 2.369734 0.4101776 0.03280509
#> [2,] 1.224684 -0.1891807 -0.27543744
as.matrix(outimg, mask = outimg > 1)
#> [1] 1.447085 2.624759 2.007877 2.369734 1.224684
outimg <- makeImage(c(2, 10, 2), rnorm(40))
testthat::expect_error(as.matrix(outimg))
img <- antsImageRead(getANTsRData("r16"))
img[img > 5] <- 0
sort(unique(as.character(img)))
#> [1] "0" "1" "2" "3" "4" "5"
factor(img)
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#> [65017] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65053] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65089] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65125] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65161] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65197] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65233] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65269] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65305] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65341] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65377] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65413] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65449] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65485] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [65521] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> Levels: 0 1 2 3 4 5
table(img, img)
#> img
#> img 0 1 2 3 4 5
#> 0 64515 0 0 0 0 0
#> 1 0 537 0 0 0 0
#> 2 0 0 255 0 0 0
#> 3 0 0 0 142 0 0
#> 4 0 0 0 0 60 0
#> 5 0 0 0 0 0 27