epitable {epitools} | R Documentation |
Create r x c contigency table (exposure levels vs. binary outcome)
Description
Create r x c contigency table for r exposure levels and c outcome levels
Usage
epitable(..., ncol =2, byrow = TRUE,
rev = c("neither", "rows", "columns", "both"))
Arguments
... |
see details |
ncol |
number of columns = 2 (default) when a table is constructed from a vector or sequence of numbers |
byrow |
Default is TRUE and single vector or collection of numbers is read in row-wise. Set to FALSE to read in column-wise. |
rev |
reverse order of "rows", "colums", "both", or "neither" (default) |
Details
Creates r x 2 table with r exposure levels and 2 outcome levels (No vs. Yes). Arguments can be one of the following:
(1) four or more integers that be converted into r x 2 table (the number of integers must be even),
(2) two categorical vectors (1st vector is exposure with r levels, 2nd vector is outcome with 2 levels),
(3) r x 2 contingency table, or
(4) single vector that be converted into r x 2 table (the number of integers must be even).
The contingency table created by this function is usually used for
additional analyses, for example, the epitab
function.
Value
Returns r x 2 contingency table, usually for additional analyses.
Author(s)
Tomas Aragon, aragon@berkeley.edu, http://www.phdata.science
References
none
See Also
Examples
## single vector
dat <- c(88, 20, 555, 347)
epitable(dat)
## 4 or more integers
epitable(1,2,3,4,5,6)
## single matrix
epitable(matrix(1:6, 3, 2))
## two categorical vectors
exposure <- factor(sample(c("Low", "Med", "High"), 100, rep=TRUE),
levels=c("Low", "Med", "High"))
outcome <- factor(sample(c("No", "Yes"), 100, rep=TRUE))
epitable(exposure, outcome)
epitable("Exposure"=exposure, "Disease"=outcome)
## reversing row and/or column order
zz <- epitable("Exposure Level"=exposure, "Disease"=outcome)
zz
epitable(zz, rev = "r")
epitable(zz, rev = "c")
epitable(zz, rev = "b")