brief

From car v3.0-3 by John Fox

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.

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)

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