as.array3: Reshape a vector or array to have 3 dimensions.

In fda: Functional Data Analysis

Reshape a vector or array to have 3 dimensions.

Description

Coerce a vector or array to have 3 dimensions, preserving dimnames if feasible. Throw an error if length(dim(x)) > 3.

Usage

as.array3(x) 

Arguments

x	A vector or array.

Details

1. dimx <- dim(x); ndim <- length(dimx)

2. if(ndim==3)return(x).

3. if(ndim>3)stop.

4. x2 <- as.matrix(x)

5. dim(x2) <- c(dim(x2), 1)

6. xnames <- dimnames(x)

7. if(is.list(xnames))dimnames(x2) <- list(xnames[[1]], xnames[[2]], NULL)

Value

A 3-dimensional array with names matching x

Author(s)

Spencer Graves

References

Ramsay, James O., Hooker, Giles, and Graves, Spencer (2009), Functional data analysis with R and Matlab, Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2005), Functional Data Analysis, 2nd ed., Springer, New York.

Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York.

See Also

dim, dimnames checkDims3

Examples

  ##
  ## vector -> array 
  ##
  as.array3(c(a=1, b=2)) 

  ##
  ## matrix -> array 
  ##
  
  as.array3(matrix(1:6, 2))
  as.array3(matrix(1:6, 2, dimnames=list(letters[1:2],
      LETTERS[3:5]))) 

  ##
  ## array -> array 
  ##
  
  as.array3(array(1:6, 1:3)) 

  ##
  ## 4-d array 
  ##
  # These lines throw an error because the dimensionality woud be 4
  # and as.array3 only allows dimensions 3 or less.
  # if(!CRAN()) {
  #   as.array3(array(1:24, 1:4)) 
  # }

fda documentation built on May 29, 2024, 11:26 a.m.