Computes the density of values of an image with the option for a mask.
x | Object of class |
---|---|
... | Arguments passed to |
mask | object to subset the image. If missing, then all values of the image are plotted. |
Output of density
img = nifti(array(rnorm(10^3), dim = rep(10, 3)))
mask = img > 0
density(img, mask = mask)
#>
#> Call:
#> density.default(x = x)
#>
#> Data: x (490 obs.); Bandwidth 'bw' = 0.1474
#>
#> x y
#> Min. :-0.4389 Min. :0.0000622
#> 1st Qu.: 0.6136 1st Qu.:0.0056362
#> Median : 1.6660 Median :0.1065839
#> Mean : 1.6660 Mean :0.2373038
#> 3rd Qu.: 2.7184 3rd Qu.:0.4242115
#> Max. : 3.7708 Max. :0.7737313
density(img)
#>
#> Call:
#> density.default(x = x)
#>
#> Data: x (1000 obs.); Bandwidth 'bw' = 0.2202
#>
#> x y
#> Min. :-3.7790 Min. :0.0000205
#> 1st Qu.:-1.8370 1st Qu.:0.0048685
#> Median : 0.1051 Median :0.0647384
#> Mean : 0.1051 Mean :0.1286028
#> 3rd Qu.: 2.0472 3rd Qu.:0.2439546
#> Max. : 3.9892 Max. :0.3948873
density(as.anlz(img), mask = mask)
#>
#> Call:
#> density.default(x = x)
#>
#> Data: x (490 obs.); Bandwidth 'bw' = 0.1474
#>
#> x y
#> Min. :-0.4389 Min. :0.0000622
#> 1st Qu.: 0.6136 1st Qu.:0.0056362
#> Median : 1.6660 Median :0.1065839
#> Mean : 1.6660 Mean :0.2373038
#> 3rd Qu.: 2.7184 3rd Qu.:0.4242115
#> Max. : 3.7708 Max. :0.7737313
density(as.anlz(img))
#>
#> Call:
#> density.default(x = x)
#>
#> Data: x (1000 obs.); Bandwidth 'bw' = 0.2202
#>
#> x y
#> Min. :-3.7790 Min. :0.0000205
#> 1st Qu.:-1.8370 1st Qu.:0.0048685
#> Median : 0.1051 Median :0.0647384
#> Mean : 0.1051 Mean :0.1286028
#> 3rd Qu.: 2.0472 3rd Qu.:0.2439546
#> Max. : 3.9892 Max. :0.3948873