interleave: Interleave Rows of Data Frames or Matrices

In warnes/gdata: Various R Programming Tools for Data Manipulation

Interleave Rows of Data Frames or Matrices

Description

Interleave rows of data frames or matrices.

Usage

interleave(..., append.source=TRUE, sep=": ", drop=FALSE)

Arguments

...	objects to be interleaved.
append.source	boolean flag. When TRUE (the default) the argument name will be appended to the row names to show the source of each row.
sep	separator between the original row name and the object name.
drop	boolean flag - when TRUE, matrices containing one column will be converted to vectors.

Details

This function creates a new matrix or data frame from its arguments.

The new object will have all of the rows from the source objects interleaved. Starting with row 1 of object 1, followed by row 1 of object 2, ..., row 1 of object 'n', row 2 of object 1, row 2 of object 2, ..., row 2 of object 'n', etc.

Value

Matrix containing the interleaved rows of the function arguments.

Author(s)

Gregory R. Warnes [e-mail]

See Also

cbind, rbind, combine

Examples

# Simple example
a <- matrix(1:10,ncol=2,byrow=TRUE)
b <- matrix(letters[1:10],ncol=2,byrow=TRUE)
c <- matrix(LETTERS[1:10],ncol=2,byrow=TRUE)
interleave(a,b,c)

# Create a 2-way table of means, standard errors, and nobs
g1 <- sample(letters[1:5], 1000, replace=TRUE)
g2 <- sample(LETTERS[1:3], 1000, replace=TRUE)
dat <- rnorm(1000)

stderr <- function(x) sqrt(var(x,na.rm=TRUE) / nobs(x))

means   <- tapply(dat, list(g1, g2), mean)
stderrs <- tapply(dat, list(g1, g2), stderr)
ns      <- tapply(dat, list(g1, g2), nobs)
blanks <- matrix(" ", nrow=5, ncol=3)

tab <- interleave("Mean"=round(means,2),
                  "Std Err"=round(stderrs,2),
                  "N"=ns, " "=blanks, sep=" ")
print(tab, quote=FALSE)

# Using drop to control coercion to a lower dimensions
m1 <- matrix(1:4)
m2 <- matrix(5:8)

interleave(m1, m2, drop=TRUE)   # this will be coerced to a vector
interleave(m1, m2, drop=FALSE)  # this will remain a matrix

warnes/gdata documentation built on Dec. 5, 2023, 12:20 a.m.