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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