Equality Test Between Two Data Tables
Convenient test of data equality between data.table objects. Performs some factor level stripping.
## S3 method for class 'data.table'
all.equal(target, current, trim.levels=TRUE, check.attributes=TRUE,
ignore.col.order=FALSE, ignore.row.order=FALSE, tolerance=sqrt(.Machine$double.eps),
...)target, current |
|
trim.levels |
A logical indicating whether or not to remove all unused levels in columns
that are factors before running equality check. It effect only when |
check.attributes |
A logical indicating whether or not to check attributes, will apply not only to data.table but also attributes of the columns. It will skip |
ignore.col.order |
A logical indicating whether or not to ignore columns order in |
ignore.row.order |
A logical indicating whether or not to ignore rows order in |
tolerance |
A numeric value used when comparing numeric columns, by default |
... |
Passed down to internal call of |
For efficiency data.table method will exit on detected non-equality issues, unlike most all.equal methods which process equality checks further. Besides that fact it also handles the most time consuming case of ignore.row.order = TRUE very efficiently.
Either TRUE or a vector of mode "character" describing the
differences between target and current.
dt1 <- data.table(A = letters[1:10], X = 1:10, key = "A") dt2 <- data.table(A = letters[5:14], Y = 1:10, key = "A") isTRUE(all.equal(dt1, dt1)) is.character(all.equal(dt1, dt2)) # ignore.col.order x <- copy(dt1) y <- dt1[, .(X, A)] all.equal(x, y) all.equal(x, y, ignore.col.order = TRUE) # ignore.row.order x <- setkeyv(copy(dt1), NULL) y <- dt1[sample(nrow(dt1))] all.equal(x, y) all.equal(x, y, ignore.row.order = TRUE) # check.attributes x = copy(dt1) y = setkeyv(copy(dt1), NULL) all.equal(x, y) all.equal(x, y, check.attributes = FALSE) x = data.table(1L) y = 1L all.equal(x, y) all.equal(x, y, check.attributes = FALSE) # trim.levels x <- data.table(A = factor(letters[1:10])[1:4]) # 10 levels y <- data.table(A = factor(letters[1:5])[1:4]) # 5 levels all.equal(x, y, trim.levels = FALSE) all.equal(x, y, trim.levels = FALSE, check.attributes = FALSE) all.equal(x, y)
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