orrr | R Documentation |
This function calculates the odds ratio and relative risk for a 2 x 2
contingency table and a
confidence interval (default conf.level
is 95 percent) for the
each estimate. x
should be a matrix, data frame or table. "Successes"
should be located in column 1 of x
, and the treatment of interest
should be located in row 2. The odds ratio is calculated as (Odds row 2) /
(Odds row 1). The confidence interval is calculated from the log(OR) and
backtransformed.
orrr(
x,
conf.level = 0.95,
verbose = !quiet,
quiet = TRUE,
digits = 3,
relrisk = FALSE
)
oddsRatio(x, conf.level = 0.95, verbose = !quiet, quiet = TRUE, digits = 3)
relrisk(x, conf.level = 0.95, verbose = !quiet, quiet = TRUE, digits = 3)
## S3 method for class 'oddsRatio'
print(x, digits = 4, ...)
## S3 method for class 'relrisk'
print(x, digits = 4, ...)
## S3 method for class 'oddsRatio'
summary(object, digits = 4, ...)
## S3 method for class 'relrisk'
summary(object, digits = 4, ...)
x |
a 2 x 2 matrix, data frame, or table of counts |
conf.level |
the confidence interval level |
verbose |
a logical indicating whether verbose output should be displayed |
quiet |
a logical indicating whether verbose output should be suppressed |
digits |
number of digits to display |
relrisk |
a logical indicating whether the relative risk should be returned instead of the odds ratio |
... |
additional arguments |
object |
an R object to print or summarise. Here an object of class
|
an odds ratio or relative risk. If verpose
is true,
more details and the confidence intervals are displayed.
Kevin Middleton (kmm@csusb.edu); modified by R Pruim.
chisq.test()
, fisher.test()
M1 <- matrix(c(14, 38, 51, 11), nrow = 2)
M1
oddsRatio(M1)
M2 <- matrix(c(18515, 18496, 1427, 1438), nrow = 2)
rownames(M2) <- c("Placebo", "Aspirin")
colnames(M2) <- c("No", "Yes")
M2
oddsRatio(M2)
oddsRatio(M2, verbose = TRUE)
relrisk(M2, verbose = TRUE)
if (require(mosaicData)) {
relrisk(tally(~ homeless + sex, data = HELPrct) )
do(3) * relrisk( tally( ~ homeless + shuffle(sex), data = HELPrct) )
}
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