tests/backtransformAffine.matrix.R

In aroma.light: Light-Weight Methods for Normalization and Visualization of Microarray Data using Only Basic R Data Types

library("aroma.light")

X <- matrix(1:8, nrow=4, ncol=2)
X[2,2] <- NA_integer_

print(X)

# Returns a 4x2 matrix
print(backtransformAffine(X, a=c(1,5)))

# Returns a 4x2 matrix
print(backtransformAffine(X, b=c(1,1/2)))

# Returns a 4x2 matrix
print(backtransformAffine(X, a=matrix(1:4,ncol=1)))

# Returns a 4x2 matrix
print(backtransformAffine(X, a=matrix(1:3,ncol=1)))

# Returns a 4x2 matrix
print(backtransformAffine(X, a=matrix(1:2,ncol=1), b=c(1,2)))

# Returns a 4x1 matrix
print(backtransformAffine(X, b=c(1,1/2), project=TRUE))

# If the columns of X are identical, and a identity
# backtransformation is applied and projected, the
# same matrix is returned.
X <- matrix(1:4, nrow=4, ncol=3)
Y <- backtransformAffine(X, b=c(1,1,1), project=TRUE)
print(X)
print(Y)
stopifnot(sum(X[,1]-Y) <= .Machine$double.eps)


# If the columns of X are identical, and a identity
# backtransformation is applied and projected, the
# same matrix is returned.
X <- matrix(1:4, nrow=4, ncol=3)
X[,2] <- X[,2]*2; X[,3] <- X[,3]*3
print(X)
Y <- backtransformAffine(X, b=c(1,2,3))
print(Y)
Y <- backtransformAffine(X, b=c(1,2,3), project=TRUE)
print(Y)
stopifnot(sum(X[,1]-Y) <= .Machine$double.eps)