Expand binomial-pair data from ``short'' to ``long'' form.

The short form specifies the response with two columns giving the numbers of successes and failures. Example short form:

survived died dose sex 3 0 10 male 2 1 10 female 1 2 20 male 1 2 20 female

The long form specifies the response as single column of
`TRUE`

s and `FALSE`

s.
For example, the
long form of the above data (spaces and comments added):

survived dose sex TRUE 10 male # row 1 of short data: 0 died, 3 survived TRUE 10 male TRUE 10 maleFALSE 10 female # row 2 of short data: 1 died, 2 survived TRUE 10 female TRUE 10 female

FALSE 20 male # row 3 of short data: 2 died, 1 survived FALSE 20 male TRUE 20 male

FALSE 20 female # row 4 of short data: 2 died, 1 survived FALSE 20 female TRUE 20 female

In this example the total number of survived and died for each row in the short data is the same, but in general that need not be true.

```
# S3 method for formula
expand.bpairs(formula = stop("no 'formula' argument"), data = NULL, sort = FALSE, …)
```# S3 method for default
expand.bpairs(data = stop("no 'data' argument"), y = NULL, sort = FALSE, …)

formula

Model formula such as `survived + died ~ dose + temp`

.

data

Matrix or dataframe containing the data.

y

Model response. One of:

o Two column matrix or dataframe of binomial pairs e.g. `cbind(survived, died=20-survived)`

o Two-element numeric vector specifying the response columns in `data`

e.g. `c(1,2)`

o Two-element character vector specifying the response column names in `data`

e.g. `c("survived", "died")`

.
The full names must be used (partial matching isn't supported).

sort

Default `FALSE`

.
Use `TRUE`

to sort the rows of the long data so it is returned
in canonical form, independent of the row order of the short data.
The long data is sorted on predictor values;
predictors on the left take precedence in the sort order.

…

Unused, but provided for generic/method consistency.

A dataframe of the data in the long form, with expanded binomial pairs.
The first column of the data will be the response column
(a column of `TRUE`

s and `FALSE`

s).

Additionally, the returned value has two attached attributes:

`bpairs.index`

A vector of row indices into the returned data.
Can be used to reconstruct the short data from the long data
(although this package does not yet provide a function to do so).

`ynames`

Column names of the original response (a two-element character vector).

# NOT RUN { survived <- c(3,2,1,1) # short data for demo (too short to build a real model) died <- c(0,1,2,2) dose <- c(10,10,20,20) sex <- factor(c("male", "female", "male", "female")) short.data <- data.frame(survived, died, dose, sex) expand.bpairs(survived + died ~ ., short.data) # returns long form of the data # expand.bpairs(data=short.data, y=cbind(survived, died)) # equivalent # expand.bpairs(short.data, c(1,2)) # equivalent # expand.bpairs(short.data, c("survived", "died")) # equivalent # For example models, see the earth vignette # section "Short versus long binomial data". # }