NEWS.md
manual_tour
manual_tour
and proto_density
, and bringing your own basisbasis_olda
& .lapply_rep_len
proto_basis1d()
has an text_offset argument for the horizontal position of text labelsgc()
calls, too expensive for the minor issues it tried to mitigateproto_density()
now changes the aspect ratio to 1/2 (y/x), twice as wideanimate_plotly()
will change the x scaleratio to 2 (for non plotly::subplot
animations)map_relative()
; position = “left” or “right” is fully off outside of the data and slightly smallerproto_*()
default; decreasing the text size (5 -> 4)proto_*()
default; decreasing the line size a (1 -> .6)filmstrip & facet_wrap_tour()
: adds theme for borders to help distinguish facetstheme_spinifex()
to include shading and strip outline consistent with the above pointggtour()
, such that tours don’t want too far to the sides as they were in cheem radial tourstheme_spinifex()
: tightening margins, facet strip outlines, and better separating theme elements from ggtour default settingsfacet_wrap_tour()
, for faceting toursproto_frame_cor2()
, adds text for the within-frame correlation squaredappend_fixed_y()
, add/overwrite data y column to fixed values, such as for the height of predicted values or residuals of a modeldraw_basis()
static ggplot2 variant of proto_basis
, that accepts a basis directly without requiring ggtour initializationproto_*
functions have row_index
argument; allowing for subsetting that is compatible with faceting and appending a fixed y! By default, proto_point()
will plot non-selected points in faint grey, behind selected pointstheme_spinifex()
changed removing the duplicate legend display, fewer warnings, and less frame oddities (geom existence issues) with animate_plotly
animate_*
functionsggtour()
synchronizes angle
usage with tourr toursmanual_tour()
and related functions now handle 1D projectionsproto_highlight/1d()
for highlighting specific points in ggtoursfilmstrip()
, creates a ggplot faceting the frames of a ggtour for a static outputpenguins_na.rm
, from palmerpenguins::penguins
, removed NA rows & reordered columnsrownum_index
to proto_text
, for labeling subsetsspinifex::save_history
, muting the noisy execution of tourr::save_history
?ggplot_tour()
to get started!! – 10x new proto_*
functions, essentially geoms_*
for animated tours: basis/1d, point, origin/1d, density, text, hex, default/1d. – 2x animation funcs; animate_plotly()
and aniamte_gganimate()
– 2x internal utility functionsvignette("ggproto_api", "spinifex")
BeastCancer_na.rm
datasetfor
loopsmanip_var_of(basis)
suggests a variable to used based on the rank of the contributions of the basis.Basis_* functions to find features of interest, powered by Rdimtools. - basis_olda()
- basis_odp()
- basis_onpp()
- basis_olpp()
New util functions: - scale_sd()
center and scale each variable by it’s standard deviation - scale_01()
center and scale each variable to be between [0, 1] - basis_half_circle()
, variable agnostic basis with minimal variable dependence - as_history_array()
, coerces an array of bases into the same attributes and class as returns of tourr::save_history()
view_basis()
and oblique_basis()
, no longer listed in view_frame()
documentationrender_plotly()
going longer than 10 secondsggproto
, accepts a list of ggplot2 objects for more control over visual outputaes_args
, accepts a list of arguments to pass into the aes()
call within geom_point()
. This is used for variable mappings, such as color, but needs to be qualified as this is standard evaluationidentity_args
, accepts a list of arguments to pass call within geom_point()
, but outside of aes()
. This is used for scalar options or manually mapped vector such as point size or alphaPimaIndiansDiabetes_long
& PimaIndiansDiabetes_wide
scale_axes()
to automatically scale to data rather than assume the data is scaled to [0, 1]view_basis()
and oblique_basis()
in favor of view_frame()
view_manip_space()
geom_point(aes(...))
instead of hard-coded argumentsggplot2::geom_point(...)
gganimate::anim_save()
in render_gganimate()
htmlwidgets::saveWidget()
in render_plotly()
To accommodate interactive use, rather than predefined paths:
oblique_basis()
oblique_frame()
run_app()
New shiny app!map_absolute()
is_orthonormal()
slightly more general than tourr::is_orthonormal()