S4 textstat superclass.
The textstat-class (technically an S4 class) serves as a superclass
for the classes features, context, and partition.
Usually, the class will not be used directly. It offers a set of standard
generic methods (such as head, tail, dim, nrow,
colnames) its childs inherit. The core feature of textstat and
its childs is a data.table in the slot stat for keeping data on
text statistics of a corpus, or a partition.
## S4 method for signature 'textstat' name(x) ## S4 method for signature 'character' name(x) ## S4 replacement method for signature 'textstat' name(x) <- value ## S4 method for signature 'textstat' round(x, digits = 2L) ## S4 method for signature 'textstat' sort(x, by, decreasing = TRUE) as.bundle(object, ...) ## S4 method for signature 'textstat,textstat' e1 + e2 ## S4 method for signature 'textstat' subset(x, subset) ## S3 method for class 'textstat' as.data.table(x, ...) ## S4 method for signature 'textstat' show(object) ## S4 method for signature 'textstat' p_attributes(.Object) ## S4 method for signature 'textstat' knit_print(x, options = knitr::opts_chunk, ...) ## S4 method for signature 'textstat' get_corpus(x) ## S4 method for signature 'textstat' format(x, digits = 2L) ## S4 method for signature 'textstat' view(.Object)
x |
A |
value |
A |
digits |
Number of digits. |
by |
Column that will serve as the key for sorting. |
decreasing |
Logical, whether to return decreasing order. |
object |
a textstat object |
... |
Argument that will be passed into a call of the |
e1 |
A |
e2 |
Another |
subset |
A logical expression indicating elements or rows to keep. |
.Object |
A |
options |
Chunk options. |
A head-method will return the first rows of the data.table in
the stat-slot. Use argument n to specify the number of rows.
A tail-method will return the last rows of the data.table in
the stat-slot. Use argument n to specify the number of rows.
The methods dim, nrow and ncol will return information
on the dimensions, the number of rows, or the number of columns of the
data.table in the stat-slot, respectively.
Objects derived from the textstat class can be indexed with simple
square brackets ("[") to get rows specified by an numeric/integer vector,
and with double square brackets ("[[") to get specific columns from the
data.table in the slot stat.
The colnames-method will return the column names of the data-table
in the slot stat.
The methods as.data.table, and as.data.frame will extract the
data.table in the slot stat as a data.table, or
data.frame, respectively.
textstat objects can have a name, which can be retrieved, and set using
the name-method and name<-, respectively.
The round()-method looks up all numeric columns in the
data.table in the stat-slot of the textstat object and
rounds values of these columns to the number of decimal places specified by
argument digits.
The knit_print method will be called by knitr to render
'textstat' objects or objects inheriting from the 'textstat' class as a
DataTable htmlwidget when rendering a R Markdown document as html.
It will usually be necessary to explicitly state "render = knit_print" in
the chunk options. The option 'polmineR.pagelength' controls the number of
lines displayed in the resulting 'htmlwidget'. Note that including
htmlwidgets in html documents requires that pandoc is installed. To avoid
an error, a formatted data.table is returned by knit_print if
pandoc is not available.
The format()-method returns a pretty-printed and minimized
version of the data.table in the stat-slot of the
textstat-object: It will round all numeric columns to the number of decimal
numbers specified by digits, and drop all columns with token ids. The
return value is a data.table.
p_attributeObject of class character, p-attribute of the query.
corpusA corpus specified by a length-one character vector.
statA data.table with statistical information.
nameThe name of the object.
annotation_colsA character vector, column names of
data.table in slot stat that are annotations.
encodingA length-one character vector, the encoding of the corpus.
use("polmineR")
P <- partition("GERMAPARLMINI", date = ".*", p_attribute = "word", regex = TRUE)
y <- cooccurrences(P, query = "Arbeit")
# generics defined in the polmineR package
x <- count("REUTERS", p_attribute = "word")
name(x) <- "count_reuters"
name(x)
get_corpus(x)
# Standard generic methods known from data.frames work for objects inheriting
# from the textstat class
head(y)
tail(y)
nrow(y)
ncol(y)
dim(y)
colnames(y)
# Use brackets for indexing
## Not run:
y[1:25]
y[,c("word", "ll")]
y[1:25, "word"]
y[1:25][["word"]]
y[which(y[["word"]] %in% c("Arbeit", "Sozial"))]
y[ y[["word"]] %in% c("Arbeit", "Sozial") ]
## End(Not run)
sc <- partition("GERMAPARLMINI", speaker = "Angela Dorothea Merkel")
cnt <- count(sc, p_attribute = c("word", "pos"))
cnt_min <- subset(cnt, pos %in% c("NN", "ADJA"))
cnt_min <- subset(cnt, pos == "NE")
# Get statistics in textstat object as data.table
count_dt <- corpus("REUTERS") %>%
subset(grep("saudi-arabia", places)) %>%
count(p_attribute = "word") %>%
as.data.table()Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.