# Di Cook

#### 13 packages on CRAN

#### 1 packages on GitHub

Produce publication quality graphics from output of 'GGobi' describe display plugin.

Tools for visual inference. Generate null data sets and null plots using permutation and simulation. Calculate distance metrics for a lineup, and examine the distributions of metrics.

Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.

Data from the six Australian Federal Elections (House of Representatives) between 2001 and 2016, and from the four Australian Censuses over the same period. Includes tools for visualizing and analysing the data, as well as imputing Census data for years in which a Census does not occur. This package incorporates data that is copyright Commonwealth of Australia (Australian Electoral Commission) 2016.

Geometric objects defined in 'geozoo' can be simulated or displayed in the R package 'tourr'.

The R package 'ggplot2' is a plotting system based on the grammar of graphics. 'GGally' extends 'ggplot2' by adding several functions to reduce the complexity of combining geometric objects with transformed data. Some of these functions include a pairwise plot matrix, a two group pairwise plot matrix, a parallel coordinates plot, a survival plot, and several functions to plot networks.

Methods for searching through genealogical data and displaying the results. Plotting algorithms assist with data exploration and publication-quality image generation. Includes interactive genealogy visualization tools. Provides parsing and calculation methods for variables in descendant branches of interest. Uses the Grammar of Graphics.

Mosaic plots in the 'ggplot2' framework. Mosaic plot functionality is provided in a single 'ggplot2' layer by calling the geom 'mosaic'.

This is an R package as the next generation of GGobi, a software package for interactive and dynamic statistical graphics. It includes most of features in GGobi such as brushing, zooming, panning, identifying and linking, as well as common types of statistical graphics, e.g. bar plot, scatter plot, boxplot, histogram, density plot, spine plot, parallel coordinates plot, mosaic plot, maps, missing value plot, time series plot, tour, scatter plot matrix, hexagons and tiles (color images), etc. Based on the support of several other packages, cranvas aims for speed (from Qt) and flexibility (from R), with the style and design borrowed from ggplot2.

Missing values are ubiquitous in data and need to be explored and handled in the initial stages of analysis. 'naniar' provides data structures and functions that facilitate the plotting of missing values and examination of imputations. This allows missing data dependencies to be explored with minimal deviation from the common work patterns of 'ggplot2' and tidy data.

Diagnostics methods for quantile regression models for detecting influential observations: robust distance methods for general quantile regression models; generalized Cook's distance and Q-function distance method for quantile regression models using aymmetric Laplace distribution. Reference of this method can be found in Luis E. Benites, V<c3><ad>ctor H. Lachos, Filidor E. Vilca (2015) <arXiv:1509.05099v1>; mean posterior probability and Kullback<e2><80><93>Leibler divergence methods for Bayes quantile regression model. Reference of this method is Bruno Santos, Heleno Bolfarine (2016) <arXiv:1601.07344v1>.

Provides 'ggplot2' graphics for analysing time series data. It aims to fit into the 'tidyverse' and grammar of graphics framework for handling temporal data.

Provides a 'tbl_ts' class (the 'tsibble') to store and manage temporal data in a data-centric format, which is built on top of the 'tibble'. The 'tsibble' aims at easily manipulating and analysing temporal data, including counting and filling in time gaps, aggregate over calendar periods, performing rolling window calculations, and etc.