barCoin: 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)

Value

Object of class barCoin.

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.

Author

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

Examples

Run this code

# 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)

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