View source: R/checkDataTable.R
checkDataTable | R Documentation |
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 |
[ |
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
/check_data_table
return 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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