Create variables useful for determining whether a row's values are suspicious
rowDistinct()
finds the number of unique values given per row of variables in an array
CrunchVariable
. straightlineResponse()
returns a selection
variable that indicates
whether the responses are identical. When a row has all columns that are missing of the
same type, it will return Selected
, but will missing if any other number of values is missing
(or there are multiple types of missing).
rowDistinct(x, name, ..., na.rm = TRUE) straightlineResponse(x, name, ...)
x |
A |
name |
a character to use as the name of the case variable to create |
... |
Optional attributes, like |
na.rm |
Whether to count missing data as a separate category (all missing categories will be lumped together) |
A Variable Definition, which can be used to create a new CrunchVariable
rowCount()
for other row-wise functions
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