# brief

##### Print Abbreviated Ouput

Print data objects and statistical model summaries in abbreviated form.

- Keywords
- manip

##### Usage

`brief(object, ...)`# S3 method for data.frame
brief(object, rows = if (nr <= 10)="" c(nr,="" 0)="" else="" c(3,="" 2),="" cols,="" head="FALSE," tail="FALSE," elided="TRUE," classes="inherits(object," "data.frame"),="" ...)="" #="" s3="" method="" for="" matrix="" brief(object,="" rows="if" (nr="" <="10)" ...)<="" p="">

# S3 method for numeric
brief(object, rows = c(2, 1), elided = TRUE, ...)
# S3 method for integer
brief(object, rows = c(2, 1), elided = TRUE, ...)
# S3 method for character
brief(object, rows = c(2, 1), elided = TRUE, ...)
# S3 method for factor
brief(object, rows=c(2, 1), elided=TRUE, ...)

# S3 method for list
brief(object, rows = c(2, 1), elided = TRUE, ...)

# S3 method for function
brief(object, rows = c(5, 3), elided = TRUE, ...)

# S3 method for lm
brief(object, terms = ~ .,
intercept=missing(terms), pvalues=FALSE,
digits=3, horizontal=TRUE, vcov., ...)

# S3 method for glm
brief(object, terms = ~ .,
intercept=missing(terms), pvalues=FALSE,
digits=3, horizontal=TRUE, vcov., dispersion, exponentiate, ...)

# S3 method for multinom
brief(object, terms = ~ .,
intercept=missing(terms), pvalues=FALSE,
digits=3, horizontal=TRUE, exponentiate=TRUE, ...)

# S3 method for polr
brief(object, terms = ~ .,
intercept, pvalues=FALSE,
digits=3, horizontal=TRUE, exponentiate=TRUE, ...)

# S3 method for default
brief(object, terms = ~ .,
intercept=missing(terms), pvalues=FALSE,
digits=3, horizontal=TRUE, ...)

##### Arguments

- object
a data or model object to abbreviate.

- rows
for a matrix or data frame, a 2-element integer vector with the number of rows to print at the beginning and end of the display; for a vector or factor, the number of lines of output to show at the beginning and end; for a list, the number of elements to show at the beginning and end; for a function, the number of lines to show at the beginning and end.

- cols
for a matrix or data frame, a 2-element integer vector with the number of columns to print at the beginning (i.e., left) and end (right) of the display.

- head, tail
alternatives to the

`rows`

argument; if`TRUE`

, print the first or last 6 rows; can also be the number of the first or last few rows to print; only one of`heads`

and`tails`

should be specified; ignored if`FALSE`

(the default).- elided
controls whether to report the number of elided elements, rows, or columns; default is

`TRUE`

.- classes
show the class of each column of a data frame at the top of the column; the classes are shown in single-character abbreviated form---e.g.,

`[f]`

for a factor,`[i]`

for an integer variable,`[n]`

for a numeric variable,`[c]`

for a character variable.- terms
a one-sided formula giving the terms to summarize; the default is

`~ .`

---i.e., to summarize all terms in the model.- intercept
whether or not to include the intercept; the default is

`TRUE`

unless the`terms`

argument is given, in which case the default is`FALSE`

; ignored for`polr`

models.- pvalues
include the p-value for each coefficient in the table; default is

`FALSE`

.- exponentiate
for a

`"glm"`

or`"glmerMod"`

model using the`log`

or`logit`

link, or a`"polr"`

or`"multinom"`

model, show exponentiated coefficient estimates and confidence bounds.- digits
significant digits for printing.

- horizontal
if

`TRUE`

(the default), orient the summary produced by`brief`

horizontally, which typically saves space.- dispersion
see

`summary.glm`

- vcov.
either a matrix giving the estimated covariance matrix of the estimates, or a function that when called with

`object`

as an argument returns an estimated covariance matrix of the estimates. The default`vcov. = vcov(object, complete=FALSE)`

uses the usual estimated covariance matrix with NA for any row and column with aliased regressors. Other choices include the functions documented at`hccm`

, and a bootstrap estimate`vcov.=vcov(Boot(object))`

; see the documentation for`Boot`

. For the`glm`

method, if the`vcov.`

or`dispersion`

argument is specified, then Wald-based confidence limits are computed; otherwise the reported confidence limits are computed by profiling the likelihood. NOTES: (1) The`dispersion`

and`vcov.`

arguments may not*both*be specified. (2) Setting`vcov.=vcov`

returns an error if the model includes aliased terms; use`vcov.=vcov(object, complete=FALSE)`

. (3) The`hccm`

method will generally return a matrix of full rank even if the model has aliased terms. Similarly`vcov.=vcov(Boot(object))`

may return a full rank matrix, or it will a matrix with NA corresponding to aliased regressors if same regressors are aliased in every bootstrap sample.- …
arguments to pass down.

##### Value

Invisibly returns `object`

for a data object, or summary for a model object.

##### Note

The method `brief.matrix`

calls `brief.data.frame`

.

##### References

Fox, J. and Weisberg, S. (2019)
*An R Companion to Applied Regression*, Third Edition, Sage.

##### See Also

##### Examples

```
# NOT RUN {
brief(rnorm(100))
brief(Duncan)
brief(OBrienKaiser, elided=TRUE)
brief(matrix(1:500, 10, 50))
brief(lm)
mod.prestige <- lm(prestige ~ education + income + type, Prestige)
brief(mod.prestige, pvalues=TRUE)
brief(mod.prestige, ~ type)
mod.mroz <- glm(lfp ~ ., data=Mroz, family=binomial)
brief(mod.mroz)
# }
```

*Documentation reproduced from package car, version 3.0-3, License: GPL (>= 2)*