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AN IMPLEMENTATION OF GRAMMAR OF GRAPHICS FOR GRAPHS AND A grammar of graphics for relational data. ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding the concept of layouts to the grammar. FUNCTION REFERENCE • PATCHWORK Plot Composition. At the heart of patchwork lies a range of powerful functions for combining plots into an assembly of plots that can be layed out in a grid. Patchwork provides both an extension of ggplot2’s + based API, along with a functinal interface. Create an inset to be added on top of the previous plot. GETTING STARTED • PATCHWORK Getting Started. Patchwork is a package designed to make plot composition in R extremely simple and powerful. It is mainly intended for users of ggplot2 and goes to great lengths to make sure ggplots are properly aligned no matter the complexity of your composition. In this tutorial we’ll work through the basics of using patchwork. CONTROLLING LAYOUTS • PATCHWORK Controlling the grid. If nothing is given, patchwork will try to make a grid as square as possible, erring to the side of a horizontal grid if a square is not possible (it uses the same heuristic as facet_wrap () in ggplot2). Further, each column and row in the grid will take up the same space. Both of these can be controlled with plot_layout A DATA STRUCTURE FOR TIDY GRAPH MANIPULATION The tbl_graph class is a thin wrapper around an igraph object that provides methods for manipulating the graph using the tidy API. As it is just a subclass of igraph every igraph method will work as expected. A grouped_tbl_graph is the equivalent of a grouped_df where either the nodes or the edges has been grouped. The grouped_tbl_graph is not constructed directly but by using the group_by DEFINE THE GRID TO COMPOSE PLOTS IN Define the grid to compose plots in. Source: R/plot_layout.R. plot_layout.Rd. In order to control how different plots are layed out, you need to add a layout specification. If you are nesting grids, the layout is scoped to the current nesting level. plot_layout( ncol = NULL , nrow = NULL , byrow = NULL , widths = NULL , heights = NULL ,guides
WRAP PLOTS INTO A PATCHWORK Wrap plots into a patchwork. While the use of + is a natural way to add plots together, it can be difficult to string together multiple plots programmatically if the number of plots is not known beforehand. wrap_plots makes it easy to take a list of plots and add them into A TIDY API FOR GRAPH MANIPULATION • TIDYGRAPH A graph, while not "tidy" in itself, can be thought of as two tidy data frames describing node and edge data respectively. tidygraph provides an approach to manipulate these two virtual data frames using the API defined in the dplyr package, as well as provides tidy interfaces to a lot of common graph algorithms. PIXEL FILTERS FOR GGPLOT2 AND GRID • GGFX Provides a range of filters that can be applied to layers from the ggplot2 package and its extensions, along with other graphic elements such as guides and theme elements. The filters are applied at render time and thus uses the exact pixel dimensions needed. ACCELERATING GGPLOT2 • GGFORCE Accelerating ggplot2. ggforce is a package aimed at providing missing functionality to ggplot2 through the extension system introduced with ggplot2 v2.0.0. Broadly speaking ggplot2 has been aimed primarily at explorative data visualization in order to investigate the data at hand, and less at providing utilities for composing custom plots a laD3.js.
AN IMPLEMENTATION OF GRAMMAR OF GRAPHICS FOR GRAPHS AND A grammar of graphics for relational data. ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding the concept of layouts to the grammar. FUNCTION REFERENCE • PATCHWORK Plot Composition. At the heart of patchwork lies a range of powerful functions for combining plots into an assembly of plots that can be layed out in a grid. Patchwork provides both an extension of ggplot2’s + based API, along with a functinal interface. Create an inset to be added on top of the previous plot. GETTING STARTED • PATCHWORK Getting Started. Patchwork is a package designed to make plot composition in R extremely simple and powerful. It is mainly intended for users of ggplot2 and goes to great lengths to make sure ggplots are properly aligned no matter the complexity of your composition. In this tutorial we’ll work through the basics of using patchwork. CONTROLLING LAYOUTS • PATCHWORK Controlling the grid. If nothing is given, patchwork will try to make a grid as square as possible, erring to the side of a horizontal grid if a square is not possible (it uses the same heuristic as facet_wrap () in ggplot2). Further, each column and row in the grid will take up the same space. Both of these can be controlled with plot_layout A DATA STRUCTURE FOR TIDY GRAPH MANIPULATION The tbl_graph class is a thin wrapper around an igraph object that provides methods for manipulating the graph using the tidy API. As it is just a subclass of igraph every igraph method will work as expected. A grouped_tbl_graph is the equivalent of a grouped_df where either the nodes or the edges has been grouped. The grouped_tbl_graph is not constructed directly but by using the group_by DEFINE THE GRID TO COMPOSE PLOTS IN Define the grid to compose plots in. Source: R/plot_layout.R. plot_layout.Rd. In order to control how different plots are layed out, you need to add a layout specification. If you are nesting grids, the layout is scoped to the current nesting level. plot_layout( ncol = NULL , nrow = NULL , byrow = NULL , widths = NULL , heights = NULL ,guides
WRAP PLOTS INTO A PATCHWORK Wrap plots into a patchwork. While the use of + is a natural way to add plots together, it can be difficult to string together multiple plots programmatically if the number of plots is not known beforehand. wrap_plots makes it easy to take a list of plots and add them into GENERATIVE ART BY THOMAS LIN PEDERSEN · DATA IMAGINIST Purchase. If you are interested in buying one of my pieces, then please contact me by email ( thomasp85@gmail.com ), through Twitter, or Instagram. I print myself (with some help for A1 and A0) on high quality paper using pigment ink. The price is US$100 for A4, US$150 for A3, US$450 for A1, and US$650 for A0, plus shipping. INTRODUCTION TO GGRAPH: LAYOUTS · DATA IMAGINIST Home Archive Art About Subscribe Introduction to ggraph: Layouts Feb 6, 2017 · 2100 words · 10 minutes read R ggraph visualization I will soon submit ggraph to CRAN - I swear! But in the meantime I’ve decided to build up anticipation for the great event by publishing a range of blog posts describing the central parts of ggraph: Layouts, Nodes, Edges, and Connections.LAYOUTS • GGRAPH
Layouts abound. There’s a lot of different layouts in ggraph — All layouts from the graphlayouts and igraph packages are available, an ggraph itself also provide some of the more specialised layouts itself. All in all ggraph provides well above 20 different layouts to choose from, far more than we can cover in DEFINE THE GRID TO COMPOSE PLOTS IN Define the grid to compose plots in. Source: R/plot_layout.R. plot_layout.Rd. In order to control how different plots are layed out, you need to add a layout specification. If you are nesting grids, the layout is scoped to the current nesting level. plot_layout( ncol = NULL , nrow = NULL , byrow = NULL , widths = NULL , heights = NULL ,guides
FUNCTION REFERENCE • PATCHWORK Plot Composition. At the heart of patchwork lies a range of powerful functions for combining plots into an assembly of plots that can be layed out in a grid. Patchwork provides both an extension of ggplot2’s + based API, along with a functinal interface. Create an inset to be added on top of the previous plot. FACET DATA FOR ZOOM WITH CONTEXT This facetting provides the means to zoom in on a subset of the data, while keeping the view of the full dataset as a separate panel. The zoomed-in area will be indicated on the full dataset panel for reference. It is possible to zoom in on both the x and y axis at the same time. If this is done it is possible to both get each zoom separately and combined or just combined. A DATA STRUCTURE FOR TIDY GRAPH MANIPULATION The tbl_graph class is a thin wrapper around an igraph object that provides methods for manipulating the graph using the tidy API. As it is just a subclass of igraph every igraph method will work as expected. A grouped_tbl_graph is the equivalent of a grouped_df where either the nodes or the edges has been grouped. The grouped_tbl_graph is not constructed directly but by using the group_by WRAP PLOTS INTO A PATCHWORK Wrap plots into a patchwork. While the use of + is a natural way to add plots together, it can be difficult to string together multiple plots programmatically if the number of plots is not known beforehand. wrap_plots makes it easy to take a list of plots and add them into A LIGHTWEIGHT AND FLEXIBLE WEB FRAMEWORK • FIERY A very flexible framework for building server side logic in R. The framework is unopinionated when it comes to how HTTP requests and WebSocket messages are handled and supports all levels of app complexity; from serving static content to full-blown dynamic web-apps. Fiery does not hold your hand as much as e.g. the shiny package does, but instead sets you free to create your web app the way THE COMPOSER OF PLOTS • PATCHWORK The ggplot2 package provides a strong API for sequentially building up a plot, but does not concern itself with composition of multiple plots. patchwork is a package that expands the API to allow for arbitrarily complex composition of plots by, among others, providing mathematical operators for combining multiple plots. Other packages that try to address this need (but with a different A TIDY API FOR GRAPH MANIPULATION • TIDYGRAPH A graph, while not "tidy" in itself, can be thought of as two tidy data frames describing node and edge data respectively. tidygraph provides an approach to manipulate these two virtual data frames using the API defined in the dplyr package, as well as provides tidy interfaces to a lot of common graph algorithms. ACCELERATING GGPLOT2 • GGFORCE Accelerating ggplot2. ggforce is a package aimed at providing missing functionality to ggplot2 through the extension system introduced with ggplot2 v2.0.0. Broadly speaking ggplot2 has been aimed primarily at explorative data visualization in order to investigate the data at hand, and less at providing utilities for composing custom plots a laD3.js.
AN IMPLEMENTATION OF GRAMMAR OF GRAPHICS FOR GRAPHS AND A grammar of graphics for relational data. ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding the concept of layouts to the grammar. FUNCTION REFERENCE • PATCHWORK Plot Composition. At the heart of patchwork lies a range of powerful functions for combining plots into an assembly of plots that can be layed out in a grid. Patchwork provides both an extension of ggplot2’s + based API, along with a functinal interface. Create an inset to be added on top of the previous plot. GETTING STARTED • PATCHWORK Getting Started. Patchwork is a package designed to make plot composition in R extremely simple and powerful. It is mainly intended for users of ggplot2 and goes to great lengths to make sure ggplots are properly aligned no matter the complexity of your composition. In this tutorial we’ll work through the basics of using patchwork. FACET DATA FOR ZOOM WITH CONTEXT This facetting provides the means to zoom in on a subset of the data, while keeping the view of the full dataset as a separate panel. The zoomed-in area will be indicated on the full dataset panel for reference. It is possible to zoom in on both the x and y axis at the same time. If this is done it is possible to both get each zoom separately and combined or just combined. A DATA STRUCTURE FOR TIDY GRAPH MANIPULATION The tbl_graph class is a thin wrapper around an igraph object that provides methods for manipulating the graph using the tidy API. As it is just a subclass of igraph every igraph method will work as expected. A grouped_tbl_graph is the equivalent of a grouped_df where either the nodes or the edges has been grouped. The grouped_tbl_graph is not constructed directly but by using the group_by ANNOTATE THE FINAL PATCHWORK Annotate the final patchwork. The result of this function can be added to a patchwork using + in the same way as plot_layout (), but unlike plot_layout () it will only have an effect on the top level plot. As the name suggests it controls different aspects of the annotation of the final plot, such as titles and tags. DEFINE THE GRID TO COMPOSE PLOTS IN Define the grid to compose plots in. Source: R/plot_layout.R. plot_layout.Rd. In order to control how different plots are layed out, you need to add a layout specification. If you are nesting grids, the layout is scoped to the current nesting level. plot_layout( ncol = NULL , nrow = NULL , byrow = NULL , widths = NULL , heights = NULL ,guides
CALCULATE NODES AS CIRCLES PACKED WITHIN THEIR PARENT Calculate nodes as circles packed within their parent circle. The circle packing algorithm is basically a treemap using circles instead of rectangles. Due to the nature of circles they cannot be packed as efficiently leading to increased amount of "empty space" as compared to a treemap. This can be beneficial though, as the added empty space A TIDY API FOR GRAPH MANIPULATION • TIDYGRAPH A graph, while not "tidy" in itself, can be thought of as two tidy data frames describing node and edge data respectively. tidygraph provides an approach to manipulate these two virtual data frames using the API defined in the dplyr package, as well as provides tidy interfaces to a lot of common graph algorithms. ACCELERATING GGPLOT2 • GGFORCE Accelerating ggplot2. ggforce is a package aimed at providing missing functionality to ggplot2 through the extension system introduced with ggplot2 v2.0.0. Broadly speaking ggplot2 has been aimed primarily at explorative data visualization in order to investigate the data at hand, and less at providing utilities for composing custom plots a laD3.js.
AN IMPLEMENTATION OF GRAMMAR OF GRAPHICS FOR GRAPHS AND A grammar of graphics for relational data. ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding the concept of layouts to the grammar. FUNCTION REFERENCE • PATCHWORK Plot Composition. At the heart of patchwork lies a range of powerful functions for combining plots into an assembly of plots that can be layed out in a grid. Patchwork provides both an extension of ggplot2’s + based API, along with a functinal interface. Create an inset to be added on top of the previous plot. GETTING STARTED • PATCHWORK Getting Started. Patchwork is a package designed to make plot composition in R extremely simple and powerful. It is mainly intended for users of ggplot2 and goes to great lengths to make sure ggplots are properly aligned no matter the complexity of your composition. In this tutorial we’ll work through the basics of using patchwork. FACET DATA FOR ZOOM WITH CONTEXT This facetting provides the means to zoom in on a subset of the data, while keeping the view of the full dataset as a separate panel. The zoomed-in area will be indicated on the full dataset panel for reference. It is possible to zoom in on both the x and y axis at the same time. If this is done it is possible to both get each zoom separately and combined or just combined. A DATA STRUCTURE FOR TIDY GRAPH MANIPULATION The tbl_graph class is a thin wrapper around an igraph object that provides methods for manipulating the graph using the tidy API. As it is just a subclass of igraph every igraph method will work as expected. A grouped_tbl_graph is the equivalent of a grouped_df where either the nodes or the edges has been grouped. The grouped_tbl_graph is not constructed directly but by using the group_by ANNOTATE THE FINAL PATCHWORK Annotate the final patchwork. The result of this function can be added to a patchwork using + in the same way as plot_layout (), but unlike plot_layout () it will only have an effect on the top level plot. As the name suggests it controls different aspects of the annotation of the final plot, such as titles and tags. DEFINE THE GRID TO COMPOSE PLOTS IN Define the grid to compose plots in. Source: R/plot_layout.R. plot_layout.Rd. In order to control how different plots are layed out, you need to add a layout specification. If you are nesting grids, the layout is scoped to the current nesting level. plot_layout( ncol = NULL , nrow = NULL , byrow = NULL , widths = NULL , heights = NULL ,guides
CALCULATE NODES AS CIRCLES PACKED WITHIN THEIR PARENT Calculate nodes as circles packed within their parent circle. The circle packing algorithm is basically a treemap using circles instead of rectangles. Due to the nature of circles they cannot be packed as efficiently leading to increased amount of "empty space" as compared to a treemap. This can be beneficial though, as the added empty space FUNCTION REFERENCE • PATCHWORK Plot Composition. At the heart of patchwork lies a range of powerful functions for combining plots into an assembly of plots that can be layed out in a grid. Patchwork provides both an extension of ggplot2’s + based API, along with a functinal interface. Create an inset to be added on top of the previous plot. CONTROLLING LAYOUTS • PATCHWORK Controlling the grid. If nothing is given, patchwork will try to make a grid as square as possible, erring to the side of a horizontal grid if a square is not possible (it uses the same heuristic as facet_wrap () in ggplot2). Further, each column and row in the grid will take up the same space. Both of these can be controlled with plot_layout WRAP PLOTS INTO A PATCHWORK Wrap plots into a patchwork. While the use of + is a natural way to add plots together, it can be difficult to string together multiple plots programmatically if the number of plots is not known beforehand. wrap_plots makes it easy to take a list of plots and add them into AN IMPLEMENTATION OF GRAMMAR OF GRAPHICS FOR GRAPHS AND A grammar of graphics for relational data. ggraph is an extension of ggplot2 aimed at supporting relational data structures such as networks, graphs, and trees. While it builds upon the foundation of ggplot2 and its API it comes with its own self-contained set of geoms, facets, etc., as well as adding the concept of layouts to the grammar. PLOT ASSEMBLY • PATCHWORK Plot Assembly. Before plots can be laid out, they have to be assembled. Arguably one of patchwork’s biggest selling point is that it expands on the use of + in ggplot2 to allow plots to be added together and composed, creating a natural extension of the ggplot2 API. There is more to it than that though, and this tutorial willteach you all
LAYOUTS • GGRAPH
Layouts abound. There’s a lot of different layouts in ggraph — All layouts from the graphlayouts and igraph packages are available, an ggraph itself also provide some of the more specialised layouts itself. All in all ggraph provides well above 20 different layouts to choose from, far more than we can cover in CREATE AN INSET TO BE ADDED ON TOP OF THE PREVIOUS PLOT Create an inset to be added on top of the previous plot. Source: R/inset_element.R. inset_element.Rd. The standard approach of patchwork is to place plots next to each other based on the provided layout. However, it may sometimes be beneficial to place one or several plots or graphic elements freely on top or below another plot. ARCS AND WEDGES AS POLYGONS Arcs and wedges as polygons. This set of stats and geoms makes it possible to draw arcs and wedges as known from pie and donut charts as well as more specialized plottypes such as sunburst plots. stat_arc_bar ( mapping = NULL , data = NULL , geom = "arc_bar" , position = "identity" , n = 360 , na.rm = FALSE , show.legend = NA ,inherit.aes
DRAW (SUPER)ELLIPSES BASED ON THE COORDINATE SYSTEM SCALE This is a generalisation of geom_circle() that allows you to draw ellipses at a specified angle and center relative to the coordinate system. Apart from letting you draw regular ellipsis, the stat is using the generalised formula for superellipses which can be utilised by setting the m1 and m2 aesthetics. If you only set the m1 the m2 value will follow that to ensure a symmetric appearance. SPLIT FACET_GRID OVER MULTIPLE PLOTS facet_grid_paginate.Rd. This extension to ggplot2::facet_grid () will allow you to split a facetted plot over multiple pages. You define a number of rows and columns per page as well as the page number to plot, and the function will automatically only plot the correct panels. Usually this will be put in a loop to render all pages one byone.
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VISUALIZATION AND BEYOND…* Mar 31
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Goodbye to "Good Taste" I’M HAPPY TO ANNOUNCE THE FORMAL RELEASE OF GGFX. MY GIFT TO MYSELF AFTER A YEAR OF FONT RENDERING WORK AND A PACKAGE CERTAIN TO ANNOY ANY DATA VISUALISATION PURISTS IN THE NEIGHBOURHOOD.* Nov 9
Insetting a new patchwork version A NEW VERSION OF PATCHWORK HAS REACHED CRAN, READ ON TO FIND OUT WHICH NEW FEATURES IT BRINGS…* Mar 18 A
noisy start
A HUGE UPDATE TO AMBIENT IS FINALLY ON CRAN… MOSTLY BECAUSE I FORGOT TO SUBMIT IT A YEAR AGO 😬* Mar 15
Vectorising like a (semi)pro A SHORT AND PRACTICAL INTRODUCTION TO WHAT VECTORISING IN R REALLY ISALL ABOUT
* Dec 13
Don't be a Dick
IT’S NOT THAT DIFFICULT…* Dec 1
Patch it up and send it out FINALLY! PATCHWORK HAS FINALLY BEEN RELEASED ON CRAN. FINALLY! NO JOKE… IT’S ALL THERE! GO CHECK IT OUT.* Nov 13
The
Colour of Everything COLOURS ARE A CENTRAL ASPECT OF MANY VISUALISATIONS, AND A NEW RELEASE OF THE FARVER PACKAGE IS READY TO SUPERCHARGE COLOUR MANIPULATION INR.
* Sep 2
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giraffe, 2 giraffe, GO! AFTER WHAT SEEMS LIKE A LIFETIME, GGRAPH V2 HAS BEEN RELEASED ON CRAN. IT PACKS MANY IMPROVEMENTS, NEW FEATURES, BUG FIXES, AND A TIGHTER INTEGRATION WITH TIDYGRAPH. READ ALL ABOUT IT HERE…* Aug 8 A
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GGFORCE 0.3.0 HAS LANDED ON CRAN, A MERE 5 MONTHS SINCE THE LAST RELEASE, SHOWING MY COMMITMENT TO A MORE INCREMENTAL RELEASE CYCLE. IT DOESN’T SKIP ON COOL FEATURES THOUGH…* Mar 7
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ggforce Awakens (again) AFTER MORE THAN 2 YEARS OF HIBERNATION THE GGFORCE PACKAGE IS BACK IN FULL FORCE. GET THE SENSE OF THIS MAJOR RELEASE IN THIS BLOG POST.Older Posts →
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