DelayedArray-utils {DelayedArray} | R Documentation

## Common operations on DelayedArray objects

### Description

Common operations on DelayedArray objects.

### Details

The operations currently supported on DelayedArray objects are:

Delayed operations:

- `rbind` and `cbind`

- all the members of the `Ops`, `Math`, and `Math2` groups

- `!`

- `is.na`, `is.finite`, `is.infinite`, `is.nan`

- `type<-`

- `lengths`

- `nchar`, `tolower`, `toupper`, `grepl`, `sub`, `gsub`

- `pmax2` and `pmin2`

- `sweep`

- `scale` (when the supplied `center` and `scale` are not TRUE)

- statistical functions like `dnorm`, `dbinom`, `dpois`, and `dlogis` (for the Normal, Binomial, Poisson, and Logistic distribution, respectively) and related functions (documented in DelayedArray-stats)

Block-processed operations:

- `anyNA`, `which`

- `unique`, `table`

- all the members of the `Summary` group

- `mean`

- `apply`

Mix delayed and block-processed operations:

- `scale` (when the supplied `center` and/or `scale` are TRUE)

### See Also

- `cbind` in the base package for rbind/cbind'ing ordinary arrays.

- `arbind` and `acbind` in this package (DelayedArray) for binding ordinary arrays of arbitrary dimensions along their rows or columns.

- `is.na`, `!`, `table`, `mean`, `apply`, and `%*%` in the base package for the corresponding operations on ordinary arrays or matrices.

- DelayedMatrix-utils for common operations on DelayedMatrix objects.

- DelayedArray-stats for statistical functions on DelayedArray objects.

- DelayedMatrix-stats for DelayedMatrix row/col summarization.

- DelayedArray objects.

- HDF5Array objects in the HDF5Array package.

- `S4groupGeneric` in the methods package for the members of the `Ops`, `Math`, and `Math2` groups.

- `sweep` and `scale` in the base package.

### Examples

    ## ---------------------------------------------------------------------
    ## BIND DelayedArray OBJECTS
    ## ---------------------------------------------------------------------
    ## DelayedArray objects can be bound along their 1st (rows) or 2nd
    ## (columns) dimension with rbind() or cbind(). These operations are
    ## equivalent to arbind() and acbind(), respectively, and are all
    ## delayed.

    ## On 2D objects:
    library(HDF5Array)
    toy_h5 <- system.file("extdata", "toy.h5", package="HDF5Array")
    h5ls(toy_h5)

    M1 <- HDF5Array(toy_h5, "M1")
    M2 <- HDF5Array(toy_h5, "M2")

    M12 <- rbind(M1, t(M2))            # delayed
    M12
    colMeans(M12)                      # block-processed

    ## On objects with more than 2 dimensions:
    example(arbind)  # to create arrays a1, a2, a3

    A1 <- DelayedArray(a1)
    A2 <- DelayedArray(a2)
    A3 <- DelayedArray(a3)
    A123 <- rbind(A1, A2, A3)          # delayed
    A123

    ## On 1D objects:
    v1 <- array(11:15, 5, dimnames=list(LETTERS[1:5]))
    v2 <- array(letters[1:3])
    V1 <- DelayedArray(v1)
    V2 <- DelayedArray(v2)
    V12 <- rbind(V1, V2)
    V12

    ## Not run: cbind(V1, V2)  # Error! (the objects to cbind() must have at least 2
                   # dimensions)

    ## End(Not run)

    ## Note that base::rbind() and base::cbind() do something completely
    ## different on ordinary arrays that are not matrices. They treat them
    ## as if they were vectors:
    rbind(a1, a2, a3)
    cbind(a1, a2, a3)
    rbind(v1, v2)
    cbind(v1, v2)

    ## Also note that DelayedArray objects of arbitrary dimensions can be
    ## stored inside a DataFrame object as long as they all have the same
    ## first dimension (nrow()):
    DF <- DataFrame(M=I(tail(M1, n=5)), A=I(A3), V=I(V1))
    DF[-3, ]
    DF2 <- rbind(DF, DF)
    DF2$V

    ## Sanity checks:
    m1 <- as.matrix(M1)
    m2 <- as.matrix(M2)
    stopifnot(identical(rbind(m1, t(m2)), as.matrix(M12)))
    stopifnot(identical(arbind(a1, a2, a3), as.array(A123)))
    stopifnot(identical(arbind(v1, v2), as.array(V12)))
    stopifnot(identical(rbind(DF$M, DF$M), DF2$M))
    stopifnot(identical(rbind(DF$A, DF$A), DF2$A))
    stopifnot(identical(rbind(DF$V, DF$V), DF2$V))

    ## ---------------------------------------------------------------------
    ## MORE OPERATIONS
    ## ---------------------------------------------------------------------

    M1 >= 0.5 & M1 < 0.75              # delayed
    log(M1)                            # delayed
    pmax2(M2, 0)                       # delayed

    type(M2) <- "integer"              # delayed
    M2

    ## table() is block-processed:
    a4 <- array(sample(50L, 2000000L, replace=TRUE), c(200, 4, 2500))
    A4 <- as(a4, "HDF5Array")
    table(A4)
    a5 <- array(sample(20L, 2000000L, replace=TRUE), c(200, 4, 2500))
    A5 <- as(a5, "HDF5Array")
    table(A5)

    A4 - 2 * A5                        # delayed
    table(A4 - 2 * A5)                 # block-processed

    ## range() is block-processed:
    range(A4 - 2 * A5)
    range(M1)

    cmeans <- colMeans(M2)             # block-processed
    sweep(M2, 2, cmeans)               # delayed
    scale(M2)                          # delayed & block-processed
    scale(M2, center=FALSE, scale=10)  # delayed

[Package DelayedArray version 0.18.0 Index]