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Update compute_just2D()
and compute_just()
to work with any value
for the angle
aesthetic, as in the accepted version of the pull
request in 'ggplot2'.
Fix bug in geom_table()
that would cause text left or right justified
to be clipped when the text in a cell was very long. (Cell padding still
needs improvement.)
This new package is the result of splitting package 'ggpmisc' into two packages: 'ggpp' containing extensions to the grammar of graphics and 'ggpmisc' containing extensions to 'ggplot2' related to plot decorations based on model fits, statistical summaries and other descriptors of the data being plotted. Package 'ggpmisc' depends on 'ggpp' with no visible changes for users. Package 'ggpp' can be loaded instead of 'ggpmisc' when only the extensions it contains are needed. Package 'gginnards' containing tools for editing ggplot objects as well as tools for inspecting them is an earlier spin-off from 'gpmisc'.
Compared to 'ggpmisc' 0.3.9, the following changes have been introduced.
New justification styles have being implemented to complement
position_nudge_center()
. They are supported in geom_text_linked()
,
geom_plot()
, geom_table()
, geom_grob()
and geom_marging_grob()
.
In the current implementation all rows in data
should contain the same
hjust
or vjust
value when using the new types of justification
described here, this seems reasonable as they compute the individual
justification values from the data. All other justification values,
either numeric
or character
do not have this restriction and can be
used as in geoms from 'ggplot2'. These new features may change in the
near future.
geom_linked_text()
into geom_text_linked()
."outward_mean"
, "inward_mean"
,
"outward_median"
and "inward_median"
so that outward and inward
are with respect to the centroid of the data instead of to the
middle of the $x$ or $y$ scales. This should be useful in
combination with position_nudge_center()
."outward_nnn"
and "inward_nnn"
so that
outward and inward are with respect to the number resulting from
applying as.numeric()
to the characters that replace nnn
. For
example strings like "outward_0.5"
, "inward_3e5"
or
"outward_-3e-2"
are supported. This should be useful when manual
tweaking is desired. As special cases "outward_0"
and "inward_0"
apply justification outward and inward with respect to the origin.
This should be useful for biplots used for PCA and similar cases
with arrows radiating out of the origin. (The "outward"
and
"inward"
justification implemented in 'ggplot2' is relative to the
middle of the $x$ or $y$ scales.)compute_npcx()
and compute_npcy()
to support multiple
steps per group (needed in 'ggpmisc')."outward"
and "inward"
justification of
text labels when angle
aesthetic takes values \< -45 or > 45
degrees. This code change alters how old plots are rendered if text
labels have been rotated by more than 45 degrees.ggplot2::geom_text()
has been submitted and merged. This is now in
the 'ggplot2' 3.3.4 milestone retaining consistent behaviour between
'ggplot2', 'ggrepel', 'ggpp' and 'ggpmisc'.geom_plot()
.stat_poly_eq()
.geom_linked_text()
. Except for
the drawing of segments or arrows this new geometry behaves as
ggplot2::geom_text()
. Note: Segments and arrows are drawn only
if the position function used returns both the repositioned and
original coordinates.position_nudge_centre()
and
position_nudge_line()
compute the direction of nudging and return
both the nudged and original positions.position_nudge_to()
nudges to new
user-supplied position(s); position_nudge_keep()
nudges to
position(s) based on user-supplied position shift. These functions
return both nudged and original position(s), which makes possible to
draw connecting segments from text labels to the original position.stat_fit_glance()
,
stat_fit_augment()
, stat_fit_tidy()
and stat_fit_tb()
now
import the tidiers from package 'generics' instead of from
'broom'. As a result, users must now explicitly load the package
where the methods to be used are defined, such as 'broom' or
'broom.mixed' or define them before calling these statistics.glance.args
to stat_fit_glance()
,
parameter tidy.ars
to stat_fit_tidy()
and stat_fit_tb()
and
parameter augment.args
to stat_fit_augment()
as some
specializations of broom::glance()
, broom::tidy()
and
stat_fit_augment()
accept arguments specific to a given fitting
method.stat_fit_tidy()
would fail with quantreg::rq()
and any
other fit methods that do not return by default standard error
estimates for parameter estimates (Thanks to Mark Neal for reporting
the problem).stat_fit_glance()
, stat_fit_augment()
and
stat_fit_tidy()
to ensure compatibility with cor.test()
and
other functions that require an object rather than a quoted
expression as argument for data
.p.digits
to stat_fit_tb()
.try_tibble.ts()
and try_data_frame()
did not handle
correctly the conversion of dates for some time series, which also
could affect ggplot.ts()
.stat_peaks()
and stat_valleys()
generated wrong labels
if a Date
object was mapped to x (the bug did not affect POSIX or
datetime, and was obvious as it resulted in a shift in dates by
several decades).stat_fit_tb()
to support renaming of terms/parameter names
in the table (Suggested by Big Old Dave and Z. Lin). In addition
implement selection, reordering and renaming of columns and
terms/parameters using positional indexes and pattern matching of
truncated names in addition to whole names. Improve formatting of
small P-values.stat_fmt_tb()
to support the same expanded syntax as
stat_fit_tb()
.stat_dens1d_filter()
, stat_dens1d_filter_g()
and
stat_dens1d_labels()
, to complement existing
stat_dens2d_filter()
, stat_dens2d_filter_g()
and
stat_dens2d_labels()
.stat_dens2d_filter()
, stat_dens2d_filter_g()
and
stat_dens2d_labels()
adding formal parameters keep.sparse
and
invert.selection
, as available in the new 1D versions.stat_dens2d_labels()
to accept not only character strings
but also functions as argument to label.fill
as the new
stat_dens1d_labels()
does.ggplot2::annotate()
adding support for aesthetics npcx
and npcy
.stat_summary_xy()
and stat_centroid()
.stat_poly_eq()
to support labeling of equations according
to group.output.type
"markdown"
in stat_poly_eq()
usable with
geom_richtext()
from package 'ggtext'.geom_table_npc()
.stat_poly_eq()
.stat_poly_eq()
.This version implements some new features and fixes bugs in the features introduced in version 0.3.1, please do rise an issue if you notice any remaining bugs! Some reported weaknesses in the documentation have been addressed. This updated version depends on 'ggplot2' (>= 3.2.1).
Add support for volcano and quadrant plots of outcomes.
Add geometries geom_vhlines()
and geom_quadrant_lines()
.
Add convenience scales scale_x_logFC()
and scale_y_logFC()
for
data expressed as fold change.
Add convenience scales scale_x_Pvalue()
, scale_y_Pvalue(),
scale_x_FDR()
, scale_y_FDR()
.
Add convenience scales scale_colour_outcome()
,
scale_fill_outcome()
and scale_shape_outcome()
for data
expressed as ternary or binary outcomes.
Add conversion functions outcome2factor()
and threshold2factor()
to convert vectors of numeric outcomes into factors with 2 or 3
levels.
Add conversion function xy_outcomes2factor()
and
xy_thresholds2factor()
to combine two vectors of numeric outcomes
into a 4-level factor.
Improve support for model-fit annotations.
Update stat_poly_eq()
so that optionally instead of text labels it
can return numeric values extracted from the fit object.
Document with examples how to pass weights and covariates to
statistics based on methods from package 'broom'. Highlight the
differences among stat_poly_eq()
and the stat_fit_xxx()
statistics implemented using package 'broom'.
Revise stat_apply_fun()
to allow simultaneous application of
functions to x and y aesthetics, and handling of diff()
and
other functions returning slightly shorter vectors than their input.
Support in stat_fit_tb()
, stat_fit_augment()
, stat_fit_tidy()
and stat_fit_glance()
the use of character strings as position
arguments for parameters label.x
and label.y
when using geoms
based on x and y aesthetics in addition to when using those
taking the npcx
and npcy
aesthetics.
This is a major update, with a few cases in which old code may need to be revised to work, and many cases in which there will be subtle differences in the positions of labels used as annotations. The many new features may still have some bugs, please do rise an issue if you notice one!
Version requiring 'ggplot2' (>= 3.1.0).
Add new geometries, several of them accepting x and y in npc units
through the new aesthetics npcx
and npcy
, allowing positioning
relative to plotting area irrespective of native data units and scale
limits. These geometries are useful on their own for annotations in
particular they allow consistent positioning of textual summaries. By
default they do not inherit the plot's aesthetic mappings making their
behaviour remain by default in-between that of true geometries and that
of annotate().
geom_text_npc()
and geom_label_npc()
using aesthetics npcx
and npcy.geom_table_npc()
using aesthetics npcx and npcy.geom_plot()
and geom_plot_npc()
which can be used to add
inset plots to a ggplot.geom_grob()
and geom_grob_npc()
which can be used to add
inset grobs to a ggplot.geom_x_margin_point()
, geom_y_margin_point()
,
geom_x_margin_arrow()
and geom_y_margin_arrow()
which behave
similarly to geom_hline()
and geom_vline()
but plot points or
arrows instead of lines. Add geom_x_margin_grob()
and
geom_y_margin_grob()
with similar behaviour but for adding
grobs.geom_table()
and depended on the
old default of inherit.aes=TRUE
.stat_apply_panel()
and stat_apply_group()
.stat_fit_glance()
and improve diagnosis of
unsupported input. Replace bad example in the corresponding
documentation (workaround for bug reported by Robert White).Version requiring 'ggplot2' (>= 3.0.0), now in CRAN. Low level manipulation and debug methods and functions moved to new package 'gginnards' available through CRAN.
stat_poly_eq()
(fixing bug
reported by S.Al-Khalidi).stat_fit_tb()
.stat_fmt_tb()
for formatting of tibbles for
addition to plots as tables.stat_quadrat_count()
into stat_quadrant_count()
(miss-spelling).Non-CRAN version with additional functionality, but requiring the development version of 'ggplot2'.
Non-CRAN version with additional functionality, but requiring the development version of 'ggplot2' >= 2.2.1.9000 (>= commit of 2017-02-09) from Github. Visit
geom_table()
, a geom for adding a layer containing one or more
tables to a plot panel.stat_fit_tb()
a stat that computes a tidy tabular version of the
summary or ANOVA table from a model fit.CRAN version
Add stat_quadrat_count()
a stat that computes the number of
observations in each quadrant of a plot panel ignoring grouping.
Fix bugs, one of which is code breaking: the names of returned
parameter estimates have changed in stat_fit_tidy()
now pasting
"_estimate"
to avoid name clashes with mapped variables.
stat_fit_tidy()
so that it returns p-values for
parameters, in addition to estimates and their standard errors.geom_debug()
adding missing default arguments.delete_layers()
, append_layers()
, move_layers()
,
shift_layers()
, which_layers()
, extract_layers()
,
num_layers()
, top_layer()
and bottom_layer()
.Add stat_fit_tidy()
implemented using broom::tidy()
. Makes it
possible to add the fitted equation for any fitted model supported by
package 'broom', as long as the user supplies within aes() the code to
build a label string. Update user guide.
Fix bug in stat_poly_equation()
eq.x.rhs
argument ignored when using
expressions.
try_tibble()
and try_data_frame()
which made them
fail silently with some objects of class "ts"
in the case of
numeric (decimal date) index for time. In addition lack of special
handling for classes "yearmon"
and "yearqrt"
from package 'zoo',
lead to erroneous date shifts by a few days.ggplot.ts()
and ggplot.xts()
.label.fill
in
stat_dens2d_labels()
from NA
to ""
.stat_dens2d_labels()
useful.Add stat_dens2d_labels()
, a statistic that resets label values to
NA
by default, or any character string supplied as argument, in
regions of a panel with high density of observations.
Add stat_den2d_filter()
, a statistic that filters-out/filters-in
observations in regions of a panel with high density of
observations. These two statistics are useful for labeling or
highlighting observations in regions of a panel with low density.
Both stats use a compute_panel function.
Add stat_den2d_filter_g()
, a statistic that filters-out/filters-in
observations in regions of a group with high density of
observations. This statistics is useful for highlighting
observations. It uses a compute_group function. They use internally
MASS:kde2d
to estimate densities and default values for parameters
are adjusted dynamically based on the number of observations.
stat_poly_eq()
.try_data_frame()
to return an object of class "tibble"
and add try_tibble()
as synonym.stat_poly_eq()
.stat_poly_eq()
.geom_debug()
.stat_fit_augment()
.Enhance stat_poly_eq()
so that 1) position of labels according to
npc (relative positions using normalized coordinates), as well as
by named positions "top"
, "bottom"
, "right"
, "left"
and
"center"
is now implemented; 2) when grouping is present, suitable
vjust
values are computed to automatically position the labels for
the different groups without overlap. Default label positions are
now relative to the range of each panel's $x$ and $y$ scales,
eliminating in most cases the need to manually tweak label
positions.
Add stat_fit_glance()
uses package 'broom' for maximum flexibility
in model function choice when wanting to add labels based on
information from a model fit, at the expense of very frequently
having to explicitly set aesthetics, and always having to add code
to do the formatting of the values to be used in labels. Label
position is as described above for stat_poly_eq()
.
Add stat_fit_deviations()
for highlighting residuals in plots of
fitted models. This statistic currently supports only lm()
fits.
By default geom "segment" is used to highlight the deviations of the
observations from a fitted model.
Add stat_fit_residuals()
for plotting residuals from a fitted
model on their own in plots matching plots of lm fits plotted with
stat_smooth() even with grouping or facets. This statistic currently
supports only lm()
fits. By default geom "point" is used to plot
the residual from a fitted model.
Add preliminary version of stat_fit_augment()
, which uses package
'broom' for maximum flexibility in model function choice, to augment
the data with additional columns of values derived from a model fit.
stat_poly_eq()
.stat_poly_eq()
.stat_poly_eq()
.stat_debug_panel()
and stat_debug_group() so that they can
optionally print to the console a summary of the data received as
input.geom_debug()
, a geom that summarizes its data input to the
console, and produces no visible graphical output.stat_poly_eq()
.try_data_frame()
.stat_poly_eq()
changed to include the lhs (left hand side) of
the equation by default.Add function try_data_frame() to convert R objects including time
series objects of all classes accepted by try.xts()
into data
frames suitable for plotting with ggplot()
.
Update stat_peaks()
and stat_valleys()
to work correctly when
the x aesthetic uses a Date
or Datetime
continuous scale such as
ggplot()
sets automatically for POSIXct
variables mapped to the
x aesthetic.
stat_debug()
as stat_debug_group()
and add
stat_debug_panel()
.stat_peaks()
and stat_valleys()
(these are simpler versions
of ggspectra::stat_peaks()
and ggspectra::stat_valleys()
for use
with any numerical data (rather than light spectra).First version.
stat_poly_eq()
stat_debug()
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