| rowname-utils | R Documentation |
Functions for converting between column-based row names and explicit row name attributes. These utilities provide convenient ways to handle row names in data frames and matrices, serving as alternatives to tibble's row name handling functions.
Col2Rownames converts a specified column to row names and removes the original column. This is useful when working with data that has identifier columns that should serve as row names rather than regular data columns.
Rownames2Col converts row names to an explicit column and removes the row names attribute. This is useful when preparing data for functions that don't handle row names well, or when row names need to be included as regular data for analysis or visualization.
Col2Rownames(.data, var = "rowname")
Rownames2Col(.data, var = "rowname")
.data |
A data frame or matrix-like object with row names |
var |
Character string specifying the name for the new column that will contain the row names. Defaults to "rowname". |
The input object with row names set from the specified column and that column removed from the data.
The input object with row names converted to a new column and the row names attribute set to NULL.
# Create sample data with an ID column
df <- data.frame(
gene_id = paste0("GENE", 1:5),
expression = rnorm(5),
p_value = runif(5)
)
# Convert gene_id column to row names
df_with_rownames <- Col2Rownames(df, var = "gene_id")
print(rownames(df_with_rownames))
# Create sample data with row names
df <- data.frame(
expression = rnorm(5),
p_value = runif(5)
)
rownames(df) <- paste0("GENE", 1:5)
# Convert row names to explicit column
df_with_col <- Rownames2Col(df, var = "gene_id")
print(df_with_col$gene_id)
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