oro.nifti (version 0.5.2)

writeANALYZE-methods: writeANALYZE

Description

This function saves an Analyze-class object to a single binary file in Analyze format.

Usage

"writeANALYZE"(aim, filename, gzipped = TRUE, verbose = FALSE, warn = -1)

Arguments

aim

is an object of class anlz.

filename

is the path and file name to save the Analyze file pair (.hdr,img) without the suffixes.

gzipped

is a character string that enables exportation of compressed (.gz) files (default = TRUE).

verbose

is a logical variable (default = FALSE) that allows text-based feedback during execution of the function.

warn

is a number to regulate the display of warnings (default = -1). See options for more details.

Value

Nothing.

Methods

object = "anlz"

Write ANALYZE volume to disk.

Details

The writeANALYZE function utilizes the internal writeBin and writeChar command to write information to a binary file.

References

Analyze 7.5 https://rportal.mayo.edu/bir/ANALYZE75.pdf

See Also

writeAFNI, writeNIfTI

Examples

norm <- dnorm(seq(-5, 5, length=32), sd=2)
norm <- (norm-min(norm)) / max(norm-min(norm))
img <- outer(outer(norm, norm), norm)
img <- round(255*img)
img[17:32,,] <- 255 - img[17:32,,]
img.anlz <- anlz(img) # create Analyze object

writeANALYZE(img.anlz, "test-anlz-image-uint8", verbose=TRUE)
## These files should be viewable in, for example, FSLview
## Make sure you adjust the min/max values for proper visualization
data <- readANALYZE("test-anlz-image-uint8", verbose=TRUE)
image(img.anlz, oma=rep(2,4), bg="white")
image(data, oma=rep(2,4), bg="white")
abs.err <- abs(data - img.anlz)
image(as(abs.err, "anlz"), zlim=range(img.anlz), oma=rep(2,4), bg="white")

## Not run: 
# ## Loop through all possible data types
# datatypes <- list(code=c(2, 4, 8, 16, 64),
#                   name=c("uint8", "int16", "int32", "float", "double"))
# equal <- vector("list")
# for (i in 1:length(datatypes$code)) {
#   fname <- paste("test-anlz-image-", datatypes$name[i], sep="")
#   rm(img.anlz)
#   img.anlz <- anlz(img, datatype=datatypes$code[i])
#   writeANALYZE(img.anlz, fname)
#   equal[[i]] <- all(readANALYZE(fname) == img)
# }
# names(equal) <- datatypes$name
# unlist(equal)
# ## End(Not run)