Skip to contents

Data objects collected during the projection pursuit optimisation

Source: R/data.R
data.Rd

Simulated data to demonstrate the usage of four diagnostic plots in the package, users can create their own guided tour data objects and diagnose with the visualisation designed in this package.

Usage

holes_1d_geo

holes_1d_better

holes_1d_jellyfish

holes_2d_jellyfish

holes_2d_better

holes_2d_better_max_tries

Format

An object of class tbl_df (inherits from tbl, data.frame) with 416 rows and 8 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 79 rows and 8 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 2500 rows and 8 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 2500 rows and 8 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 98 rows and 8 columns.

An object of class tbl_df (inherits from tbl, data.frame) with 1499 rows and 8 columns.

Details

The prefix holes_* indicates the use of holes index in the guided tour. The suffix *_better/geo/jellyfish indicates the optimiser used: search_better, search_geodesic, search_jellyfish.

Examples

holes_1d_better %>%
explore_trace_interp(interp_size = 2) +
  scale_color_continuous_botanical(palette = "fern")
#> map id to the x-axis
#> map tries to color