Check if an argument is a data table
Check if an argument is a data table
checkDataTable( x, key = NULL, index = NULL, types = character(0L), any.missing = TRUE, all.missing = TRUE, min.rows = NULL, max.rows = NULL, min.cols = NULL, max.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL, col.names = NULL, null.ok = FALSE ) check_data_table( x, key = NULL, index = NULL, types = character(0L), any.missing = TRUE, all.missing = TRUE, min.rows = NULL, max.rows = NULL, min.cols = NULL, max.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL, col.names = NULL, null.ok = FALSE ) assertDataTable( x, key = NULL, index = NULL, types = character(0L), any.missing = TRUE, all.missing = TRUE, min.rows = NULL, max.rows = NULL, min.cols = NULL, max.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL, col.names = NULL, null.ok = FALSE, .var.name = vname(x), add = NULL ) assert_data_table( x, key = NULL, index = NULL, types = character(0L), any.missing = TRUE, all.missing = TRUE, min.rows = NULL, max.rows = NULL, min.cols = NULL, max.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL, col.names = NULL, null.ok = FALSE, .var.name = vname(x), add = NULL ) testDataTable( x, key = NULL, index = NULL, types = character(0L), any.missing = TRUE, all.missing = TRUE, min.rows = NULL, max.rows = NULL, min.cols = NULL, max.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL, col.names = NULL, null.ok = FALSE ) test_data_table( x, key = NULL, index = NULL, types = character(0L), any.missing = TRUE, all.missing = TRUE, min.rows = NULL, max.rows = NULL, min.cols = NULL, max.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL, col.names = NULL, null.ok = FALSE ) expect_data_table( x, key = NULL, index = NULL, types = character(0L), any.missing = TRUE, all.missing = TRUE, min.rows = NULL, max.rows = NULL, min.cols = NULL, max.cols = NULL, nrows = NULL, ncols = NULL, row.names = NULL, col.names = NULL, null.ok = FALSE, info = NULL, label = vname(x) )
x |
[any] |
key |
[ |
index |
[ |
types |
[ |
any.missing |
[ |
all.missing |
[ |
min.rows |
[ |
max.rows |
[ |
min.cols |
[ |
max.cols |
[ |
nrows |
[ |
ncols |
[ |
row.names |
[ |
col.names |
[ |
null.ok |
[ |
.var.name |
[ |
add |
[ |
info |
[character(1)] |
label |
[ |
Depending on the function prefix:
If the check is successful, the functions
assertDataTable
/assert_data_table
return
x
invisibly, whereas
checkDataTable
/check_data_table
and
testDataTable
/test_data_table
return
TRUE
.
If the check is not successful,
assertDataTable
/assert_data_table
throws an error message,
testDataTable
/test_data_table
returns FALSE
,
and checkDataTable
returns a string with the error message.
The function expect_data_table
always returns an
expectation
.
Other compound:
checkArray()
,
checkDataFrame()
,
checkMatrix()
,
checkTibble()
library(data.table) dt = as.data.table(iris) setkeyv(dt, "Species") setkeyv(dt, "Sepal.Length", physical = FALSE) testDataTable(dt) testDataTable(dt, key = "Species", index = "Sepal.Length", any.missing = FALSE)
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