barCoin: Networked coincidences.
In netCoin: Interactive Analytic Networks

barCoin

R Documentation

Networked coincidences.

Description

barCoin produces a barCoin object.

Usage

barCoin(data, variables = colnames(data), commonlabel = NULL,
        dichotomies = c("_all","_none"), valueDicho = 1, weight = NULL,
        subsample = FALSE, sort = NULL, decreasing = TRUE, nodes = NULL,
        name = NULL, select = NULL, scalebar = FALSE, note = NULL, 
        label = NULL, text = NULL, color = NULL, defaultColor = "#1f77b4", 
        expected = FALSE, confidence = FALSE, level = .95, significance = FALSE, 
        minimum = 1 , maximum = nrow(data), percentages = FALSE, 
        criteria = c("Z","hyp"), Bonferroni = FALSE, 
        support = 1, minL = -Inf, maxL = 1,
        language = c("en","es","ca"), cex = 1.0, dir = NULL)

Arguments

`data`	a data frame
`variables`	a vector of variables included in the previous data frame
`commonlabel`	a vector of variables whose names are to be included in nodes labels
`dichotomies`	a vector of dichotomous variables to appear as just one categorie
`valueDicho`	value to be selected for dichotomous variables. Default is 1
`weight`	a vector of weights. Optimal for data.framed tables.
`subsample`	retrict the analysis to scenarios with at least one event.
`sort`	name of the vector in the nodes data frame to order the graph.
`decreasing`	decreasing or increasing sort of the graph order.
`nodes`	a data frame with at least two vectors of names and incidences.
`name`	name of the vector with names in the nodes data frame.
`select`	Name of the event (in nodes name column) to start the visualization.
`scalebar`	Should the bars fill the screen height? Default = FALSE.
`note`	lower title of the graph.
`label`	name of the vector with labels in the nodes data frame.
`text`	name of the vector with html text in the nodes data frame.
`color`	name of the vector with color variable in the nodes data frame.
`defaultColor`	a character vector giving a valid html color.
`expected`	name of the vector with expected coincidences in the links data frame.
`confidence`	name of the vector with confidence interval in the links data frame.
`level`	confidence level
`significance`	name of the vector with significance in the links data frame.
`minimum`	minimum frequency to be considered.
`maximum`	maximum frequency to be considered.
`percentages`	a logical value true if percentages are to be shown. Default = TRUE.
`criteria`	statistic to be use for selection criteria.
`Bonferroni`	Bonferroni criterium of the signification test.
`support`	minimum value of the frequency of the coincidence to be edged.
`minL`	minimum value of the statistic to include the edge in the list.
`maxL`	maximum value of the statistic to include the edge in the list.
`language`	a character vector (es=spanish; en=english; ca=catalan).
`cex`	number indicating the amount by which plotting text should be scaled relative to the default. Default = 1.
`dir`	a "character" string representing the directory where the web files will be saved.

Value

Object of class barCoin.

Author(s)

Modesto Escobar, Department of Sociology and Communication, University of Salamanca. See https://sociocav.usal.es/blog/modesto-escobar/

Examples

# A character column (with separator)
frame <- data.frame(A = c("Man; Women", "Women; Women",
                        "Man; Man", "Undet.; Women; Man"))
data <- dichotomize(frame, "A", sep = "; ")[2:4]

barCoin(data,dichotomies="_all")
barCoin(data,dichotomies="_all",confidence=TRUE,percentages=TRUE)

netCoin documentation built on March 31, 2023, 7:34 p.m.