dframeEquiv: Examines the equivalence of two dataframes or matrices
In Smisc: Sego Miscellaneous

Description Usage Arguments Details Value Author(s) References See Also Examples

Checks whether two data objects (data frames and/or matrices) are equivalent and returns a descriptive message describing the result.

1 2	dframeEquiv(d1, d2, maxAbsError = 1e-12, maxRelError = 1e-14, verbose = TRUE)

`d1`	The first dataframe or matrix
`d2`	The dataframe or matrix that will be compared to `d1`
`maxAbsError`	Numeric values whose absolute difference is less than `maxAbsError` will be declared equivalent
`maxRelError`	Numeric values whose relative difference is within `maxRelError` will be declared equivalent
`verbose`	`=TRUE` prints the result of the comparison

d1 and d2 do not both have to be of the same mode; i.e. d1 could be a dataframe and d2 could be a matrix. If the number of rows or the number of columns differ, then no further comparisons are made. If the colnames or rownames differ, then those differences are noted and comparison continues. If two corresponding elements are both NA, then they are considered equivalent. Likewise, Inf is considered equivalent to Inf and -Inf is considered equivalent to -Inf. Factors in dataframes are converted to character strings prior to comparison. Comparisons are made one column at a time.

If a particular column from both objects are numeric, then for two corresponding values, say, a and b, equivalence is declared if one or more of the following occurs: 1) a == b, 2) abs(a - b) < maxAbsError, 3) abs((a - b) / b) < maxRelError if abs(b) > abs(a), or abs((a - b) / a) < maxRelError if abs(b) >= abs(a).

If both columns are not numeric, they are coerced (if need be) to character and then compared directly.

Invisibly returns a list with the following components. (If the matrices do not have the same dimensions or the same colnames and rownames, then frac.equiv, loc.equiv, and equiv.matrix are all NULL).

`equiv`	`=TRUE` if `d1` is equivalent to `d2`
`msg`	Messages that describe the comparison. (These are printed when `verbose=TRUE`.)
`frac.equiv`	The fraction of matrix elements that are equivalent
`loc.inequiv`	A data frame indicating the row and column coordinate locations of the elements that are not equivalent
`eqiv.matrix`	A boolean matrix with the same dimension as `d1` and `d2`, indicating the equivalent elements

Landon Sego

https://randomascii.wordpress.com/category/floating-point

all.equal, identical

# Number of rows different
dframeEquiv(matrix(rnorm(20), nrow = 4),
            matrix(rnorm(25), nrow = 5))

# Number of columns different
dframeEquiv(matrix(rnorm(16), nrow = 4),
            matrix(rnorm(20), nrow = 4))

# Rownames differ
dframeEquiv(matrix(rnorm(9), nrow = 3, dimnames = list(1:3, NULL)),
            matrix(rnorm(9), nrow = 3, dimnames = list(letters[1:3], NULL)))

# Colnames differ
dframeEquiv(matrix(rnorm(9), nrow = 3, dimnames = list(NULL, 1:3)),
            matrix(rnorm(9), nrow = 3, dimnames = list(NULL, letters[1:3])))

# Not equivalent
x <- data.frame(x = factor(c(1,1,2,2,3,3)), y = rnorm(6))
y <- data.frame(x = factor(c(1,2,2,2,3,3)), y = c(x$y[-6],rnorm(1)))
dframeEquiv(x, y)

# Look at discrepancies
out <- dframeEquiv(x, y)
out

# Equivalent
x <- data.frame(x = letters[1:6], y = 0:5)
y <- x
dframeEquiv(x, y)