ggpp 0.4.2

The initial implementation and user interface of three apply statistics first introduced in ‘ggpmisc’ 0.3.6 has been revised to expand their usefulness and to make them less error-prone, while the fourth one is now defunct. Note: The default argument for geom instat_centroid() is likely to change in the near future. Otherwise, the three statistics can be considered now stable.

ggpp 0.4.1

ggpp 0.4.0

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.

ggpmisc 0.3.9

ggpmisc 0.3.8-1

ggpmisc 0.3.8

ggpmisc 0.3.7

miscast 0.3.6

ggpmisc 0.3.5

ggpmisc 0.3.4

ggpmisc 0.3.3

ggpmisc 0.3.2

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).

ggpmisc 0.3.1

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().

ggpmisc 0.3.0

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.

ggpmisc 0.2.17.9902

Non-CRAN version with additional functionality, but requiring the development version of ‘ggplot2’.

ggpmisc 0.2.17.9900

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

ggpmisc 0.2.17

CRAN version

ggpmisc 0.2.16

ggpmisc 0.2.15

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.

ggpmisc 0.2.14

Fix bug in stat_poly_equation() eq.x.rhs argument ignored when using expressions.

ggpmisc 0.2.13

ggpmisc 0.2.12

ggpmisc 0.2.11

ggpmisc 0.2.10

ggpmisc 0.2.9

ggpmisc 0.2.8

ggpmisc 0.2.7

ggpmisc 0.2.6

ggpmisc 0.2.5

ggpmisc 0.2.4

ggpmisc 0.2.3

ggpmisc 0.2.2

ggpmisc 0.2.1

ggpmisc 0.1.0

First version.