debit {scrutiny} | R Documentation |
The DEBIT (descriptive binary) test
Description
debit()
tests summaries of binary data for consistency: If the
mean and the sample standard deviation of binary data are given, are they
consistent with the reported sample size?
The function is vectorized, but it is recommended to use debit_map()
for testing multiple cases.
Usage
debit(
x,
sd,
n,
formula = "mean_n",
rounding = "up_or_down",
threshold = 5,
symmetric = FALSE
)
Arguments
x |
String. Mean of a binary distribution. |
sd |
String. Sample standard deviation of a binary distribution. |
n |
Integer. Total sample size. |
formula |
String. Formula used to compute the SD of the binary
distribution. Currently, only the default, |
rounding |
String. Rounding method or methods to be used for
reconstructing the SD values to which |
threshold |
Integer. If |
symmetric |
Logical. Set |
Value
Logical. TRUE
if x
, sd
, and n
are mutually consistent,
FALSE
if not.
References
Heathers, James A. J., and Brown, Nicholas J. L. 2019. DEBIT: A Simple Consistency Test For Binary Data. https://osf.io/5vb3u/.
See Also
debit_map()
applies debit()
to any number of cases at once.
Examples
# Check single cases of binary
# summary data:
debit(x = "0.36", sd = "0.11", n = 20)