nested_data: Prepare a parameter-long data frame for statistical analysis

In paleolimbot/tidypaleo: Tidy Tools for Paleoenvironmental Archives

Prepare a parameter-long data frame for statistical analysis

Description

Prepare a parameter-long data frame for statistical analysis

Usage

nested_data(
  .data,
  qualifiers = NULL,
  key = NULL,
  value,
  fill = NA,
  select_if = ~TRUE,
  filter_all = any_vars(TRUE),
  trans = identity,
  groups = NULL
)

unnested_data(.data, ...)

Arguments

.data	Data in parameter-long form
qualifiers	Columns that add context to observations (e.g., depth, zone, core)
key	The column name that contains the column names of the data matrix
value	The column name that contains the values
fill	If a key/value combination doesn't exist in the input, this value will be assigned in the data matrix. Generally, using NA for geochemical data and 0 for relative abundance data is advised.
select_if	Use ~TRUE to keep all columns; use ~all(is.finite(.)) to keep columns with all finite values. See select_if.
filter_all	Use any_vars(TRUE) to keep all observations; use all_vars(is.finite(.)) to keep only observations with finite (non-missing) values. See filter_all.
trans	A function that will be applied to all columns, column-wise. Use identity to perform no transformation, use scale to scale each column to a mean of zero and variance of 1. See mutate_all.
groups	Use group_by or this argument to group by one or more columns (e.g., core or lake)
...	One or more columns to unnest.

Value

A nested data matrix, which is composed of a tibble::tibble() with tibble list-columns data, discarded_rows, discarded_columns, and qualifiers.

Examples

nested_data(
  alta_lake_geochem,
  qualifiers = c(age, depth, zone),
  key = param,
  value = value,
  trans = scale
)

paleolimbot/tidypaleo documentation built on Jan. 25, 2023, 2:43 a.m.