diag_test: Diagnostic tests from variables.
In josie-athens/pubh: A Toolbox for Public Health and Epidemiology
View source: R/epi_functions.R
diag_test R Documentation
Diagnostic tests from variables.
Description
diag_test is a wrap function that calls epi.tests from package epiR.
It computes sensitivity, specificity and other statistics related with screening tests.
Usage
diag_test(object = NULL, formula = NULL, data = NULL, ...)
Arguments
object
When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples.
formula
A formula with shape: outcome ~ predictor (see details).
data
A data frame where the variables in the formula can be found.
...
Further arguments passed to epi.tests.
Details
For the formula, the outcome is the gold standard and the explanatory variable is the new (screening) test. See examples.
See Also
epi.tests.
Examples
## We compare the use of lung’s X-rays on the screening of TB against the gold standard test.
Freq <- c(1739, 8, 51, 22)
BCG <- gl(2, 1, 4, labels = c("Negative", "Positive"))
Xray <- gl(2, 2, labels = c("Negative", "Positive"))
tb <- data.frame(Freq, BCG, Xray)
tb <- expand_df(tb)
tb %>%
diag_test(BCG ~ Xray)
josie-athens/pubh documentation built on Feb. 3, 2024, 4:32 a.m.
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View source: R/epi_functions.R
| diag_test | R Documentation |
Diagnostic tests from variables.
Description
diag_test is a wrap function that calls epi.tests from package epiR.
It computes sensitivity, specificity and other statistics related with screening tests.
Usage
diag_test(object = NULL, formula = NULL, data = NULL, ...)
Arguments
object |
When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples. |
formula |
A formula with shape: outcome ~ predictor (see details). |
data |
A data frame where the variables in the |
... |
Further arguments passed to |
Details
For the formula, the outcome is the gold standard and the explanatory variable is the new (screening) test. See examples.
See Also
epi.tests.
Examples
## We compare the use of lung’s X-rays on the screening of TB against the gold standard test.
Freq <- c(1739, 8, 51, 22)
BCG <- gl(2, 1, 4, labels = c("Negative", "Positive"))
Xray <- gl(2, 2, labels = c("Negative", "Positive"))
tb <- data.frame(Freq, BCG, Xray)
tb <- expand_df(tb)
tb %>%
diag_test(BCG ~ Xray)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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