df_to_blocks: Split a data frame into blocks

In turner: Turn Vectors and Lists of Vectors into Indexed Structures

Split a data frame into blocks

Description

Split a data frame into a list of blocks (either by rows or by columns)

Usage

  df_to_blocks(DataFrame, blocks, byrow = TRUE)

Arguments

DataFrame	a data frame to split
blocks	either a list or a vector indicating the blocks. If blocks is a list of vectors, then the length of each vector defines the size of the blocks. If blocks is a vector, then each element represents the size of the blocks.
byrow	logical. If TRUE (the default) the data frame is split by rows, otherwise the data frame is split by columns

Value

A list of data frames

Author(s)

Gaston Sanchez

See Also

matrix_to_blocks

Examples

# say you have a data frame
iris_df = iris[c(1:3,51:53,101:103),]

# list defining the blocks
row_blocks = list(1:3, 4:6, 7:9)
col_blocks = c(2, 2, 1)

# split data into list of blocks (by rows)
df_to_blocks(iris_df, row_blocks)

# split data into list of blocks (by columns)
df_to_blocks(iris_df, col_blocks, byrow=FALSE)

turner documentation built on May 29, 2024, 2:44 a.m.