describers: A collection of functions to summarize vectors in matrix...

In LiNk-NY/describer: Produce small summaries of data

Description

These functions work on character, numeric, or factor vectors. They are meant to make outputs easier to paste into table.

Usage

meansd(numvar, na.rm = TRUE, varname = NULL, digits = 2)

nprops(catvar, digits = 1)

crosstab(var1, var2, digits = 2)

gmeans(numvar, catvar, digits = 2)

describe(..., outcome, data, headerRow = NULL, headerFrame = NULL,
  includeHeader = TRUE, deparse.level = 2, digits = 2)

Arguments

numvar	A numeric vector
na.rm	(default TRUE) whether to remove NA values when summarizing numeric values
varname	An optional character string for the name of the vector (defaults to object name)
digits	The number of significant digits to show
catvar	A factor vector (categorical)
var1	A character or numeric vector
var2	A second categorical variable for crosstabulation
...	Variables to describe by the outcome, can be verctors or unquoted names when the data argument is supplied
outcome	The comparison variable, divides the data into categories
data	A data.frame containing the comparison variables
headerRow	A character vector for each variable in ... that serves as the descriptive name in the table
headerFrame	A data.frame that relates or maps each variable name to its respective descriptive name
includeHeader	logical (default TRUE) indicating whether or not to add a header row to the table with group counts for the outcome variable
deparse.level	controls how the default dnn is constructed. See 'table'.

Examples

data(mtcars)

meansd(mtcars$mpg)
nprops(mtcars$gear)

with(mtcars, gmeans(mpg, am))

am <- plyr::mapvalues(mtcars$am, c(0, 1), c("Auto", "Manual"))
mtcars$vs1 <- plyr::mapvalues(mtcars$vs, c(0, 1), c("V Engine", "Straight"))

gmeans(mtcars$mpg, am)

crosstab(mtcars$vs1, am)

mtcars$cyl <- factor(mtcars$cyl)
describe(mpg, cyl, disp, outcome = am, data = mtcars)

LiNk-NY/describer documentation built on May 29, 2019, 5:57 p.m.