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Tidy Design Scores

Source: R/plot_design.R
as_design_scores.Rd

Extract design scores from a PLS result and optionally summarize them by group and condition. A condition_key can add design factors, such as task or difficulty level, back onto the flattened PLS condition labels.

Usage

as_design_scores(
  x,
  lv = 1L,
  condition_key = NULL,
  summarize = TRUE,
  block = NULL
)

Arguments

x

A pls_result object.

lv

Latent variable to extract.

condition_key

Optional data frame with one row per condition and a condition column. Additional columns are joined onto the returned table.

summarize

Logical; when TRUE, return group-condition means and standard errors. When FALSE, return observation-level scores.

block

Optional score block to keep for multiblock results. If omitted and a task block is present, the task block is used.

Value

A data frame containing score values and design metadata.