Package: matsindf 0.4.8

matsindf: Matrices in Data Frames

Provides functions to collapse a tidy data frame into matrices in a data frame and expand a data frame of matrices into a tidy data frame.

Authors:Matthew Heun [aut, cre]

# Install 'matsindf' in R:

install.packages('matsindf', repos = c('https://matthewheun.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

Last updated 10 months agofrom:8d06a7f1b0. Checks:OK: 7. Indexed: yes.

Matthew Kuperus Heun

Last update: 2023-04-26
Started: 2019-01-07

Matthew Kuperus Heun

Last update: 2023-12-21
Started: 2017-12-26

Alexander Davis

Last update: 2021-12-17
Started: 2021-12-17

Help page	Topics
Add a column of matrix names to tidy data frame	add_UKEnergy2000_matnames
Add row, column, row type, and column type metadata	add_UKEnergy2000_row_col_meta
Build a list of arguments to keep	build_keep_args
Create a data frame consisting of the input data for matsindf_apply()	build_matsindf_apply_data_frame
Collapse a "tidy" data frame to matrices in a data frame 'matsindf')	collapse_to_matrices
Create a message from a data frame	df_to_msg
Get symbols for all columns except ...	everything_except
Expand a 'matsindf' data frame	expand_to_tidy
Create a usable list of default arguments to a function	get_useable_default_args
Group by all variables except some	group_by_everything_except
Gracefully handle empty data	handle_empty_data
Gracefully handle 'NULL' arguments	handle_null_args
Index a column in a data frame by groups relative to an initial year	index_column
Convert a matrix to a data frame with rows, columns, and values.	mat_to_rowcolval
Find columns that contain matrices	matrix_cols
Apply a function to a 'matsindf' data frame (and more)	matsindf_apply
Determine types of '.dat' and '...' arguments for matsindf_apply()	matsindf_apply_types
Collapse a tidy data frame into a matrix with named rows and columns	rowcolval_to_mat
Tell whether a column can be unlisted	should_unlist
Energy consumption in the UK in 2000	UKEnergy2000
Verify that column names in a data frame are not already present	verify_cols_missing
Decide where to get each argument to FUN	where_to_get_args