Create a sparse matrix from row names, column names, and values in a table.
This function supports non-standard evaluation through the tidyeval framework.
cast_sparse(data, row, column, value, ...)
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 |
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.
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.
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.