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surreal_app() has a demo that runs in a web browser
through Shinylive, with nothing to install, at https://r-pkg.thecoatlessprofessor.com/surreal/demo/
(#5).
surreal_app() gains two tabs. Search plays back the
search that makes a dataset, and Selection steps through forward
selection among decoy predictors (#6, #7).
surreal_decoys() adds predictors of pure noise to a
dataset, so the hidden image shows only for the model with the real
predictors (#6).
surreal_path() runs forward selection and records
every step. Its plot() method draws the share each step
explained against the criterion’s charge for a predictor, the criterion
and the residual plot at a step (#6, #7).
surreal_text_points() and
surreal_image_points() return the points that
surreal_text() and surreal_image() hide, as
x and y coordinates (#6).
surreal_trace() records every iteration of the
search that makes a dataset, and its plot() method draws
the image as it stood at an iteration. A step below 1 slows
the search down (#6).
surreal(), surreal_text() and
surreal_image() are much faster and use far less memory on
large images. The data they return for a given seed is unchanged
(#6).
surreal_app() download buttons hand over their files
when the app runs in a web browser (#5).
surreal_app() shows the generated message in the
Source pane, in its download and after Undo (#5).
surreal_app() shows code that runs when the message
has a quotation mark or a line break in it (#6).
surreal_image() finds an image drawn in two light
tones, such as light gray on white (#6).
surreal_image() reads an image address with a query
string, such as picture.jpg?raw=1, in its own format
(#6).
surreal_text() gives a clear error for text with no
visible characters (#6).
surreal_image(): Create surreal datasets directly
from image files or URLs. Supports PNG, JPEG, BMP, TIFF, and SVG formats
with automatic mode detection and threshold calculation.
surreal_app(): Launch an interactive Shiny
application for exploring the surreal algorithm. Includes demo datasets,
custom text input, image uploads, and real-time parameter controls.
Export results to CSV or download plots.
surreal(): embeds a hidden image supplied by (x, y)
coordinates into a data set that seemingly has no pattern until the
residuals are plotted.surreal_text(): embeds a hidden text pattern into a
data set that seemingly has no pattern until the residuals are
plotted.r_logo_image_data: a data set containing the R logo
image that can be hidden using the surreal() function.jack_o_lantern_image_data: a data set containing a
hidden jack-o-lantern image.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.