Description Usage Arguments Value Author(s) See Also Examples
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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  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 ([email protected]); modified by R Pruim.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  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) )
}

Loading required package: dplyr
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Loading required package: lattice
Loading required package: ggformula
Loading required package: ggplot2
New to ggformula? Try the tutorials:
learnr::run_tutorial("introduction", package = "ggformula")
learnr::run_tutorial("refining", package = "ggformula")
Loading required package: mosaicData
Loading required package: Matrix
The 'mosaic' package masks several functions from core packages in order to add
additional features. The original behavior of these functions should not be affected by this.
Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
Attaching package: 'mosaic'
The following object is masked from 'package:Matrix':
mean
The following objects are masked from 'package:dplyr':
count, do, tally
The following objects are masked from 'package:stats':
IQR, binom.test, cor, cor.test, cov, fivenum, median, prop.test,
quantile, sd, t.test, var
The following objects are masked from 'package:base':
max, mean, min, prod, range, sample, sum
[,1] [,2]
[1,] 14 51
[2,] 38 11
[1] 12.58442
No Yes
Placebo 18515 1427
Aspirin 18496 1438
[1] 0.9913321
Odds Ratio
Proportions
Prop. 1: 0.9284
Prop. 2: 0.9279
Rel. Risk: 0.9994
Odds
Odds 1: 12.97
Odds 2: 12.86
Odds Ratio: 0.9913
95 percent confidence interval:
0.9939 < RR < 1.005
0.9188 < OR < 1.07
NULL
[1] 0.9913321
Odds Ratio
Proportions
Prop. 1: 0.9284
Prop. 2: 0.9279
Rel. Risk: 0.9994
Odds
Odds 1: 12.97
Odds 2: 12.86
Odds Ratio: 0.9913
95 percent confidence interval:
0.9939 < RR < 1.005
0.9188 < OR < 1.07
NULL
[1] 0.9993747
RR
1 0.8406952
2 1.3256245
3 1.0528518
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.