qdap (version 2.3.0)

word_network_plot: Word Network Plot

Description

A network plot of words. Shows the interconnected and supporting use of words between textual units containing key terms.

Usage

word_network_plot(text.var, grouping.var = 1:length(text.var),
  target.words = NULL, stopwords = qdapDictionaries::Top100Words,
  label.cex = 0.8, label.size = 0.5, edge.curved = TRUE,
  vertex.shape = "circle", edge.color = "gray70", label.colors = "black",
  layout = NULL, title.name = NULL, title.padj = -4.5,
  title.location = 3, title.font = NULL, title.cex = 0.8,
  log.labels = FALSE, title.color = "black", legend = NULL,
  legend.cex = 0.8, legend.location = c(-1.54, 1.41), plot = TRUE,
  char2space = "~~", ...)

Arguments

text.var

The text variable.

grouping.var

The grouping variables. Default uses the sequence along the length of text variable (this may be the connection of sentences or turn of talk as the textual unit). Also takes a single grouping variable or a list of 1 or more grouping variables.

target.words

A named list of vectors of words whose length corresponds to label.colors (+1 length in cloud colors for non-matched terms).

stopwords

Words to exclude from the analysis (default is Top100Words).

label.cex

The magnification to be used for network plot labels relative to the current setting of cex. Default is .8.

label.size

An optional sizing constant to add to labels if log.labels is TRUE.

edge.curved

logical. If TRUE edges will be curved rather than straight paths.

vertex.shape

The shape of the vertices (see igraph.vertex.shapes for more).

edge.color

A character vector of length one corresponding to the color of the plot edges.

label.colors

A character vector of length one corresponding to the color of the labels.

layout

Layout types supported by igraph. See layout.

title.name

The title of the plot.

title.padj

Adjustment for the network plot title. For strings parallel to the axes, padj = 0 means right or top alignment, and padj = 1 means left or bottom alignment.

title.location

On which side of the network plot (1=bottom, 2=left, 3=top, 4=right).

title.font

The font family of the cloud title.

title.cex

Character expansion factor for the title. NULL and NA are equivalent to 1.0.

log.labels

logical. If TRUE uses a proportional log label for more readable labels. The formula is: log(SUMS)/max(log(SUMS))). label.size adds more control over the label sizes.

title.color

A character vector of length one corresponding to the color of the title.

legend

A character vector of names corresponding to the number of vectors in match.string.

legend.cex

Character expansion factor for the network plot legend. NULL and NA are equivalent to 1.0.

legend.location

The x and y co-ordinates to be used to position the network plot legend. The location may also be specified by setting x to a single keyword from the list "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right" and "center". This places the legend on the inside of the plot frame at the given location.

plot

logical. If TRUE plots a network plot of the words.

char2space

A vector of characters to be turned into spaces. If char.keep is NULL, char2space will activate this argument.

…

Other arguments passed to strip.

See Also

word_network_plot, graph.adjacency

Examples

# NOT RUN {
word_network_plot(text.var=DATA$state)
word_network_plot(text.var=DATA$state, stopwords=NULL)
word_network_plot(text.var=DATA$state, DATA$person)
word_network_plot(text.var=DATA$state, DATA$person, stopwords=NULL)
word_network_plot(text.var=DATA$state, grouping.var=list(DATA$sex,
    DATA$adult))
word_network_plot(text.var=DATA$state, grouping.var=DATA$person,
    title.name = "TITLE", log.labels=TRUE)
word_network_plot(text.var=raj.act.1$dialogue, grouping.var=raj.act.1$person,
  stopwords = Top200Words)

#insert double tilde ("~~") to keep dual words (e.g., first last name)
alts <- c(" fun", "I ")
state2 <- mgsub(alts, gsub("\\s", "~~", alts), DATA$state)
word_network_plot(text.var=state2, grouping.var=DATA$person)

## Invisibly returns the igraph model
x <- word_network_plot(text.var=DATA$state, DATA$person)
str(x)
library(igraph)
plot(x, vertex.size=0, vertex.color="white", edge.curved = TRUE)

x2 <- word_network_plot(text.var=DATA$state, grouping.var=DATA$person,
    title.name = "TITLE", log.labels = TRUE, label.size = 1.2)
l <- layout.drl(x2, options=list(simmer.attraction=0))
plot(x2, vertex.size=0, layout = l)
# }