Print Abbreviated Ouput

Print data objects and statistical model summaries in abbreviated form.

brief(object, ...)

# S3 method for class '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 class 'tbl'
brief(object, ...)
# S3 method for class 'matrix'
brief(object, rows = if (nr <= 10) c(nr, 0) else c(3, 2), ...)

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

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

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

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

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

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

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

# Default S3 method
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: use an estimated covariance matrix computed as the dispersion times the unscaled covariance matrix; 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. If not set, vcov(object, complete=FALSE) is called to use the usual estimated covariance matrix with aliased regressors removed. Other choices include the functions documented at hccm, and a bootstrap estimate vcov.=vcov(Boot(object)); see the documentation for Boot. 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.
...: 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, and brief.tbl (for tibbles) calls print.

References

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

Author

John Fox jfox@mcmaster.ca

Examples