A 'ggplot2'-Plot of Composition of Solvency II SCR: SF and IM

An implementation of 'ggplot2'-methods to present the composition of Solvency II Solvency Capital Requirement (SCR) as a series of concentric circle-parts. Solvency II (Solvency 2) is European insurance legislation, coming in force by the delegated acts of October 10, 2014. < https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ%3AL%3A2015%3A012%3ATOC>. Additional files, defining the structure of the Standard Formula (SF) method of the SCR-calculation are provided. The structure files can be adopted for localization or for insurance companies who use Internal Models (IM). Options are available for combining smaller components, horizontal and vertical scaling, rotation, and plotting only some circle-parts. With outlines and connectors several SCR-compositions can be compared, for example in ORSA-scenarios (Own Risk and Solvency Assessment).


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The goal of ggsolvencyii is to provide ‘ggplot2’-geom’s to show the composition of the Solvency (II) Capital Requirement (SCR) from (diversified) risks and subrisks, whether for standard formula (SF) or (partial) intern models (IM/PIM).


You can install ggsolvencyii from Cran (stable release)


or (develoment version) from Github:

# install.packages("devtools")

short version

This README is a short version of the vignette ‘ggsolvencyii’ at https://cran.r-project.org/web/packages/ggsolvencyii/index.html which shows the same examples with more code. The complete annotated code for the first figure is shown in vignette ‘showcase’. A further elaboration on the inner workings of the package and the use of parameter-values and tables can be found in vignette "coding overview’.


ggsolvencyii builds on ggplot-functionality and provides three geom’s: geom_sii_risksurface, geom_sii_riskoutline and geom_sii_riskconnection.

These three geom’s were used to produce the following showcase plot which might be used for an ORSA (Own Risk and Solvency Assessment) report.

#> scaling is based on inputvalue (maxscrvalue) of 25.7433642812936
#> scaling is based on a max (level= 1) value of 25.7433642812936
#> scaling is based on a max (level= 1) value of 25.7433642812936
#> scaling is based on a max (level= 1) value of 25.7433642812936

The total surface (to the centerpoint of each circle) of the outer segments show the size of undiversified risks. Diversification is made visible by the difference between the risk segment and the next segment nearer to the center of the plot. The red (out)lines are displayed for comparison with the previous SCR buildup.

Baseplot and options


An life insurer reports its solvency ratio following Standard Formula rules, with English names for all risks. It has a set of risks, diversification effects, and accumulations to the SCR for the current situation (‘id’=1) and two two-year ORSA scenarios.

The SCR composition of the current situation (id = 1) is shown below

where sii_z_ex1_data a tidyverse transformation is of the data.

ggplot() +
    data = sii_z_ex1_data[sii_z_ex1_data$id == 1, ],
    mapping = aes(x = time, y = ratio, id = id, value = value, 
                           description = description, 
                           fill = description, color = description) ) +
theme_bw() +
scale_fill_manual(name = "Risks",values = sii_x_fillcolors_sf16_eng) +
scale_color_manual(name = "Risks",values = sii_x_edgecolors_sf16_eng)
#> scaling is based on a max (level= 1) value of 23


Geom_sii_risksurface uses one default table for this plot sii_structure_sf16_eng. It defines each risks by indicating from which combined ‘child’-risks and diversification (suffix ‘d’) it is made up. Passing another structure table makes this geom usable for localisation or for internal models.


To prevent cluttering of the legend it is possible to group the smallest items of a level by providing a levelmax-table in such a way that the indicated maximum items in that level is not exceded. the example is on another dataset sii_z_ex2_data, with only one SCR result.

Rotation and squared

rotationdescription Rotates the plot in such a way that the indicated item (can be on either level, i.e. works also on ‘life’ or ‘operational’) is plotted on just on the righthandside of ‘12 o’clock’. `rotationdegrees’ provides an added rotation. The example rotates ‘m_equity’ to 12 ’o clock, and then 45 degrees counter clockwise.

The option ‘squared’ makes a square plot, with the surface of all segments still in proportion. <!--

The second plot shows a comparison between a circle and square plot of the same data. Note that the radius of the SCR circle is smaller than the size of the SCR square and that angles are different because in the corners there is 'additional' surface available compared to a circle.

#> scaling is based on a max (level= 1) value of 30
#> scaling is based on a max (level= 1) value of 30

### scaling all SCR-buildups from a single call to geom_sii_risksurface or geom_sii_riskoutline plot are by default scaled in such a way that the largest SCR has a plotradius of one. When combining more calls, with several datasets a manual maxscrvalue-value can be given as a parameter. To prevent distortion, depending on the scale of x and y axis, scalingx and scalingy parameters are available.


The plotdetails table can be passed as a parameter to geom_sii_risksurface and geom_sii_riskoutline. It indicates whether to actual plot surfaces or outlinesegments (1 to 4) after the composition of the round (or squared) layout of segments. An example is the seperate plotting of inner and outer segments, with different transparancy in the showcase, or only plotting the outline of the SCR itself and the lowest risklevels. See the separate vignette for a detailed explanation.

Outlines, comparewithid

With the optional aes comparewithid in geom_sii_riskoutline it is possible (without the need of bothersome data-manipulation) to overlay the outline of one SCR over the surfaceplot of another. This for easy comparison between the two. See vignettes "geom_sii_riskoutline" and "geom_sii_riskconnection" for details. -->

additional parameters

additional parameters, some in the form of tables, can be used for determing what parts of the calculated circle-segments to plot (‘plotdetails’), scaling (‘maxscrvalue’, ‘scalingx’, ‘scalingy’), or for easy comparison between two instances of a SCR buildup (aesthetic ‘comparewithid’).


ggsolvencyii development

version 0.1.2, January 2019

  • correction of typos in 'description' in data and structure files of example 6 (Internal model)
  • correcting CRAN- link title OF vignettes
  • adapting as result of changes in packages on which ggsolvencyii depends:
    • devtools version 2.x : code from devtools::use_data() to usethis::use_data()

    • dplyr version 0.8.0 (release planned feb 1,2019) :

      "Functions like n(), row_number() ... that are typically used in dplyr verbs must now be imported when used in packages and scripts, otherwise the error Error in n() : could not find function "n" will appear."

version 0.1.1, November 2018

  • function 'sii_debug' renamed to 'sii_debug_geom' in preparation of possible further solvencyii functions

  • testing:

    • changing from informal testing to formal testing ('testthat')
    • improving error handling
    • implementing code_coverage code (in travis) and badge to README
    • implementing appveyor code and badge
  • documentation,

    • several typos corrected
    • vignette coding overview is not a placeholder anymore
    • removing vignettes geom_sii_risksurface, geom_sii_riskoutline, geom_sii_riskconnection
    • removing internal functions from the pdf
  • preparation for version 0.2.0

    • preparatory lines for parameters relalpha and tocenter)
  • backtesting

    • Depends: R (>= 3.4.0) (was >= 3.5.0)

version 0.1.0, October 2018

initial release, see how much interest this package attracts before further development and documentation.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.2 by Marco van Zanden, 4 months ago


Report a bug at https://github.com/vanzanden/ggsolvencyii/issues

Browse source code at https://github.com/cran/ggsolvencyii

Authors: Marco van Zanden [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports dplyr, ggplot2, magrittr, tidyr

Suggests covr, ggmap, knitr, rmarkdown, testthat

See at CRAN