gvisWordTree | R Documentation |
A word tree depicts multiple parallel sequences of words. It could be used to show which words most often follow or precede a target word (e.g., "Cats are...") or to show a hierarchy of terms (e.g., a decision tree).
gvisWordTree(
data,
textvar = "",
sizevar = "",
stylevar = "",
idvar = "",
parentvar = "",
options = list(),
method = "implicit",
chartid
)
data |
|
textvar |
a string that refers to the column name in |
sizevar |
a string that refers to the column name in |
stylevar |
a string that refers to the column name in |
idvar |
(only when format is explicit) a string that refers to the
column name in |
parentvar |
(only when format is explicit) a string that refers to the
column name in |
options |
list of configuration options, see: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURLConfigOptions.txt")))} \Sexpr[results=rd]{paste(readLines(file.path(".", "inst", "mansections", "gvisOptions.txt")))} |
method |
a string to say whether the word tree is either:
|
chartid |
character. If missing (default) a random chart id will be
generated based on chart type and |
returns list
of class
\Sexpr[results=rd]{paste(readLines(file.path(".", "inst",
"mansections", "gvisOutputStructure.txt")))}
The word tree chart may be undergoing substantial revisions in future Google Charts releases.
Ashley Baldry
Google Chart Tools API: \Sexpr[results=rd]{gsub("CHARTNAME", googleChartName, readLines(file.path(".", "inst", "mansections", "GoogleChartToolsURL.txt")))}
## Please note that by default the googleVis plot command
## will open a browser window and requires Internet
## connection to display the visualisation.
wt1 <- gvisWordTree(Cats, textvar = "Phrase")
plot(wt1)
Cats2 <- Cats
Cats2$Phrase.style <- ifelse(Cats$Sentiment >= 7, "green",
ifelse(Cats$Sentiment <= 3, "red", "black"))
wt2 <- gvisWordTree(Cats2, textvar = "Phrase", stylevar = "Phrase.style",
options = list(fontName = "Times-Roman",
wordtree = "{word: 'cats'}",
backgroundColor = "#cba"))
plot(wt2)
# Explicit word tree
exp.data <- data.frame(id = as.numeric(0:9),
label = letters[1:10],
parent = c(-1, 0, 0, 0, 2, 2, 4, 6, 1, 7),
size = c(10, 5, 3, 2, 2, 2, 1, 1, 5, 1),
stringsAsFactors = FALSE)
wt3 <- gvisWordTree(exp.data, idvar = "id", textvar = "label",
parentvar = "parent", sizevar = "size",
options = list(wordtree = "{format: 'explicit'}"),
method = "explicit")
plot(wt3)
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