pivot_to_matrix: Convert a data frame in long format to a matrix
In kylebittinger/usedist: Distance Matrix Utilities

Description Usage Arguments Details Functions Examples

Convert a data frame in long format to a matrix

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pivot_to_matrix(data, rows_from, cols_from, values_from, fill = 0)

pivot_to_numeric_matrix(data, obs_col, feature_col, value_col)

`data`	A data frame in long format.
`rows_from`	The column indicating the row of the matrix.
`cols_from`	The column indicating the column of the matrix.
`values_from`	The column indicating the value to be placed inside the matrix.
`fill`	The value to use for missing combinations of rows and columns.
`obs_col, feature_col, value_col`	The same as `rows_from`, `cols_from`, and `values_from`, respectively.

The parameters rows_from, cols_from, and values_from should be provided as bare column names.

This function requires the packages tidyr, rlang, and tibble to be installed. If they are not installed, the function will generate an error, with a message to install the appropriate packages.

pivot_to_numeric_matrix: Specialized version for numeric values. Deprecated; use pivot_to_matrix instead.

longdata <- data.frame(
  sample_id = paste0("Sample", c(1, 1, 1, 2, 2, 3, 3)),
  feature_id = paste0("Feature", c(1, 2, 3, 1, 2, 2, 3)),
  counts = c(132, 41, 7, 56, 11, 929, 83))
pivot_to_matrix(longdata, sample_id, feature_id, counts)