For a dfm object, returns the first or last n
documents
and first nfeature
features for inspection.
# S3 method for dfm head(x, n = 6L, nfeature = 6L, ...) # S3 method for dfm tail(x, n = 6L, nfeature = 6L, ...)
x | a dfm object |
---|---|
n | a single integer. If positive, size for the resulting object: number of first/last documents for the dfm. If negative, all but the n last/first number of documents of x. |
nfeature | the number of features to return, where the resulting object
will contain the first |
... | additional arguments passed to other functions |
A dfm class object corresponding to the subset defined
by n
and nfeature
.
#> Document-feature matrix of: 58 documents, 63,597 features (96.9% sparse). #> (showing first 6 documents and first 6 features) #> features #> docs fellow-citizens_of of_the the_senate senate_and and_of #> 1789-Washington 1 20 1 1 2 #> 1793-Washington 0 4 0 0 1 #> 1797-Adams 0 29 0 0 2 #> 1801-Jefferson 0 28 0 0 3 #> 1805-Jefferson 0 17 0 0 1 #> 1809-Madison 0 20 0 0 2 #> features #> docs the_house #> 1789-Washington 2 #> 1793-Washington 0 #> 1797-Adams 0 #> 1801-Jefferson 0 #> 1805-Jefferson 0 #> 1809-Madison 0tail(myDfm)#> Document-feature matrix of: 58 documents, 63,597 features (96.9% sparse). #> (showing last 6 documents and last 6 features) #> features #> docs fellow-citizens_of of_the the_senate senate_and and_of the_house #> 1997-Clinton 0 11 0 0 0 0 #> 2001-Bush 0 2 0 0 0 0 #> 2005-Bush 0 14 0 0 0 0 #> 2009-Obama 0 4 0 0 0 0 #> 2013-Obama 0 2 0 0 0 0 #> 2017-Trump 0 3 0 0 0 0tail(myDfm, nfeature = 4)#> Document-feature matrix of: 58 documents, 63,597 features (96.9% sparse). #> (showing last 6 documents and last 4 features) #> features #> docs fellow-citizens_of of_the the_senate senate_and #> 1997-Clinton 0 11 0 0 #> 2001-Bush 0 2 0 0 #> 2005-Bush 0 14 0 0 #> 2009-Obama 0 4 0 0 #> 2013-Obama 0 2 0 0 #> 2017-Trump 0 3 0 0