cast_sparse

0th

Percentile

Create a sparse matrix from row names, column names, and values in a table.

This function supports non-standard evaluation through the tidyeval framework.

Usage
cast_sparse(data, row, column, value, ...)
Arguments
data

A tbl

row

Column name to use as row names in sparse matrix, as string or symbol

column

Column name to use as column names in sparse matrix, as string or symbol

value

Column name to use as sparse matrix values (default 1) as string or symbol

...

Extra arguments to pass on to sparseMatrix

Details

Note that cast_sparse ignores groups in a grouped tbl_df. The arguments row, column, and value are passed by expression and support quasiquotation; you can unquote strings and symbols.

Value

A sparse Matrix object, with one row for each unique value in the row column, one column for each unique value in the column column, and with as many non-zero values as there are rows in data.

Aliases
  • cast_sparse
Examples
# NOT RUN {
dat <- data.frame(a = c("row1", "row1", "row2", "row2", "row2"),
                  b = c("col1", "col2", "col1", "col3", "col4"),
                  val = 1:5)

cast_sparse(dat, a, b)

cast_sparse(dat, a, b, val)

# }
Documentation reproduced from package tidytext, version 0.2.0, License: MIT + file LICENSE

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