70)
2D Histogram
by
Greg Warnes.
The fucntion hist2d
creates a 2-dimensional histogram by cutting the x and y dimensions into nbins sections. A 2-dimensional matrix is then constucted which holds the counts of the number of observed (x,y) pairs that fall into each bin. If show=TRUE, this matrix is then then passed to
im ...
109)
Quantile regression
by
Philippe Grosjean.
A graph for presenting individual growth with time in a population with:
- Histograms of size distribution with time,
- Quantile regressions for the median and 5% / 95% percentiles,
- A graph quantile residuals using boxplots around the median model.
This graph is Fig. 2 of the paper:
G ...
63)
stars
by
Thomas S. Dye.
Draw star plots or segment diagrams of a multivariate data set. With one single location, also draws “spider” (or “radar”) plots. Each star plot or segment diagram represents one row of the input x. Variables (columns) start on the right and wind counterclockwise around the circle. The size ...
2)
Winner of the R Homepagegraphics competition 2004
by
Eric Lecoutre.
This is a complex layout arrangement illustrating how several graph can be put together as the user wants.
The graph represents principal component analysis (PCA). The main figure is the samples projection on the 1-3 plan, samples are coloured to follow clustering results and their size indicates ...
118)
Three dimensional plotting
by
Robin Hankin.
Three dimensional plotting of points. Produces a nice-looking 3D scatterplot with greying out of further points givin a visual depth cue. Example with bunny data. ...
81)
Scatterplot with Tufte axes
by
Steven Murdoch.
fancyaxis()
draws an axis showing information about the marginal distribution of a variable as suggested in The Visual Display of Quantitative Information by Edward Tufte.
axisstripchart() draws a bar plot on an axis, showing the marginal distribution of the respective variable.
This graph sh ...
112)
The Bagplot : 2D boxplot
by
Hans Peter Wolf.
The bagplot is a 2D generalization of the boxplot.
The red asterisk is the bivariate median. The dark blue region is the bag, which contains 50% of the observations with greatest bivariate depth. The other blue region is called the loop, it contains observations that are in the fence (the bag expa ...
78)
Scatterplot with marginal histograms
by
Paul Murrel.
layout allows
you to separate the screen in several parts. The current graphs is a simple scatterplot with marginal histograms.
That short tutorial
presents (in french) the steps of creation of that graph.
...
58)
standard bar plot
by
R Development Core Team .
Creates a bar plot with vertical bars. The outputs of the barplot function is used here to add more information on the graph with the low-level functions mtext and segments. ...
33)
Agreement plot
by
David Meyer.
Representation of a $k*k$ confusion matrix, where the observed and expected diagonal elements are represented by superposed black and white rectangles, respectively.
Agreement chart allows to quickly see where two judges do disagree.
...
103)
Highest density regions
by
Rob J Hyndman.
Plot of the density (as it is estimated by the kernel method) and the highest density regions.
References :
Hyndman, R.J. (1996) Computing and graphing highest density regions
American Statistician, 50, 120-126. ...
135)
teapot 2
by
Deepayan Sarkar,
David Forrest.
The teapot is a common example of 3d graphics. This graph uses R to transform and display the teapot as viewed from any angle. It also demonstrates plotting a solid object comprised of 3d patches on a 2d graph. ...
55)
conditionnal histogram
by
Deepayan Sarkar,
Sundar Dorai-Raj.
This is an example of a lattice graph showing histograms of a variable conditionnal to two other variables. See how easy it is with lattice to add a normal density on top of each histogram.
Note also that the background and other parameters can be set using trellis.par.set. ...
76)
Soil Texture Plot
by
Sander Oom,
Jim Lemon.
soil.texture displays a triangular plot area on which soil textures defined as proportions of sand, silt and clay can be plotted. Optional grid, vertex labels, soil type divisions and names may also be displayed. If a matrix of soil textures is present, this will be passed to show.soil.texture and t ...
34)
Ternary Plot
by
Daniel Chessel.
Graphs for a dataframe with 3 columns of positive or null values
triangle.plot is a scatterplot
triangle.biplot is a paired scatterplots ...
133)
Assignments of a SOM
by
R Development Core Team .
This plot shows the points from crabs dataset assigned by a SOM (Self Organizing Map).
The points are placed randomly in the circle thay belong.
References
Kohonen, T. (1995) Self-Organizing Maps. Springer-Verlag.
Ripley, B. D. (1996)
Pattern Recognition and Neural Networks. Cambridge ...
153)
stars network
by
Graham Williams.
This plot draws a network but at the nodes we have simple segment plots (and in general we might have any other kind of plot at the nodes). This code constructs a network (from the network package), plots it with the nodes being invisibly plotted (using plot.network from the sna package) and then ov ...
102)
The boxplot friends
by
Franck Harrell,
Jeffrey Banfield,
Rob J Hyndman,
Daniel Adler.
Some boxplot-like methods. The fisrt figure show the underlying density of the random generated data: a normal mixture of two components.
Then, from left to right are plotted variations around the idea of a boxplot.
The boxplot itself, which concentrates on the central bulk of the data
The HDR ...
84)
Conditional (Regression) Tree
by
Achim Zeileis,
Kurt Hornik,
Torsten Hothorn.
Conditional trees estimate a regression relationship by binary recursive partitioning in a conditional inference framework. Roughly, the algorithm works as follows:
1) Test the global null hypothesis of independence between any of the input variables and the response (which may be multivariate as ...
29)
Backward selection in arima models
by
Romain Francois.
That plot shows the step of selection of coefficients in an ARMA(7,3) model. Each row of the center graph correspond to a step of the backward selection. Each coefficient is represented both by its value and a color (the rainbow under the graph allow user to get the value of the coefficient). The si ...
144)
Multicolor text in title
by
Barry Rowlingson.
This uses the phantom function to create a multicolored title.
This is based on a discussion on r-help and was also discussed in the revolutions blog ...
96)
Ternary Diagram
by
David Meyer.
Visualizes compositional, 3-dimensional data in an equilateral triangle.
A points' coordinates are found by computing the gravity center of mass points using the data entries as weights. Thus, the coordinates of a point
P(a,b,c), a + b + c = 1, are:
P(b + c/2, c * sqrt(3)/2). ...
130)
Partitions of a qda classification
by
Uwe Ligges,
Karsten Luebke,
Irina Czogiel.
Provides a multiple figure array which shows the classification of observations based on classification methods (e.g. lda, qda) for every combination of two variables. Moreover, the classification borders are displayed and the apparent error rates are given in each title. ...
158)
Image lag plot matrix
by
René Locher.
Produces an image lag plot matrix of large timeseries where the
colors encode the density of the points in the lag plots.
In this example, the auto correlations with lag 1-4 of O3 concentrations
in Altdorf (Switzerland) in 2004 can be compared. ...
90)
4D contour plot
by
Mike Prager.
This plot visualizes four-dimensional data -- i.e., a data set in which
two control variables jointly affect two response variables. The control
variables are shown along x- and y-axes. The first response is shown by
filled contours (colored areas); the second response, by heavy unfilled
...
50)
splom : scatter plot matrices
by
Deepayan Sarkar.
splom produces Scatter Plot Matrices. The role usually played by panel is taken over by superpanel, which determines how the columns of x are to be arranged for pairwise plots. The only available option currently is panel.pairs.
Many of the finer customizations usually ...
75)
radial.plot
by
Jim Lemon.
radial.plot displays a plot of radial lines, polygon(s) or symbols centered at the midpoint of the plot frame, the lengths, vertices or positions corresponding to the numeric magnitudes of the data values. The radial.plot family of plots is useful for illustrating cyclic data such as wind direction ...
95)
Extended Association Plots
by
David Meyer.
Association plots have been suggested by Cohen (1980) and extended by Friendly (1992) and provide a means for visualizing the residuals of an independence model for a contingency table.
assoc is a generic function and currently has a default method and a formula interface. Both are high-level int ...
8)
The level of interest in R
by
R Development Core Team .
Colored plot margins, axis labels and titles. You do need to be
careful with these kinds of effects. It's easy to go completely
over the top and you can end up with your lunch all over the keyboard.
On the other hand, my market research clients love it.
...
46)
Double coplot
by
Andy Bunn.
A double conditioning plot using the crabs dataset in MASS. This plot shows
frontal lobe lengths against rear widths conditioned by colour variation and
by sex for the crab leptograpsus variegatus. Cubic smoothing splines have
been fit to the data in each panel.
...
119)
Extended Sieve Plots
by
David Meyer.
(Extended) sieve displays for n-way contingency tables: plots rectangles with areas proportional to the expected cell frequencies and filled with a number of squares equal to the observed frequencies. Thus, the densities visualize the deviations of the observed from the expected values.
Referen ...
137)
Correlation Matrix
by
R Development Core Team .
Visualization of a Correlation Matrix. On top the (absolute) value of the correlation plus the result of the cor.test as stars. On botttom, the bivariate scatterplots, with a fitted line ...
49)
splom 2 : scatterplot matrices
by
Deepayan Sarkar.
splom produces Scatter Plot Matrices. The role usually played by panel is taken over by superpanel, which determines how the columns of x are to be arranged for pairwise plots. The only available option currently is panel.pairs.
Many of the finer customizations usually ...
94)
Extended mosaic plots
by
David Meyer.
Mosaic displays have been suggested in the statistical literature by Hartigan and Kleiner (1984) and have been extended by Friendly (1994). mosaicplot is a base graphics implementation and mosaic is a much more flexible and extensible grid implementation.
A mosaic plot is an area proportional v ...
124)
Effect plot
by
John Fox.
Effect display
References :
Fox, J. (1987)
Effect displays for generalized linear models.
Sociological Methodology
17, 347–361.
Fox, J. (2003)
Effect displays in R for generalised linear models.
Journal of Statistical Software
8:15, 1–27
Hastie, T. J. (1992)
Ge ...
151)
Use of clipping and translucent colors
by
This plot illustrates the use of the clip function by drawing the same histogram multiple times with a ramp of colors.
This also illustrates the use of translucent colors (the rug and the density line are translucent) ...
131)
Self Organizing Maps
by
Nils Raabe.
shardsplot corresponds to the representation method suggested by Cottrell and de Bodt (1996) for Kohonen Self-Organizing Maps.
Reference :
Cottrell, M., and de Bodt, E. (1996).
A Kohonen Map Representation to Avoid Misleading Interpretations.
Proceedings of the European Symposium on Atrific ...
98)
Restart-from-10-clusters colored dendrogram
by
Romain Francois.
Hierarchical clustering may start from clusters created by an other method. That plot shows the dendrogram so created. The triangles have base length proportionnal to the num ber of observations in each starting cluster, and so allows to view that number. ...
85)
Conditional (Classification) Tree
by
Achim Zeileis,
Kurt Hornik,
Torsten Hothorn.
Conditional trees estimate a regression relationship by binary recursive partitioning in a conditional inference framework. Roughly, the algorithm works as follows:
1) Test the global null hypothesis of independence between any of the input variables and the response (which may be multivariate as ...
145)
Image profiles
by
Detlev Reymann.
These are two scripts which I wrote because I did not find any tool, which is able to produce these kinds of graphs.
For marketing purposes you need so called profile diagrammes and image profiles.
Both types of diagrammes have to show the position of each object, which can be a brand, an enterp ...
159)
Image scatter plot matrix
by
René Locher.
The ipairs function produces an image scatter plot matrix
of large datasets where the colors encode the density
of the points in the scatter plots.
In this example, correlations of Ox concentrations
between three different sites (Altdorf, Lucerne and Schwyz) are
demonstrated. ...
66)
heatmap
by
Andy Liaw.
A heat map is a false color image (basically image(t(x))) with a dendrogram added to the left side and to the top. Typically, reordering of the rows and columns according to some set of values (row or column means) within the restrictions imposed by the dendrogram is carried out. ...
104)
Bivariate Highest density regions
by
Plot of the density in 2d space (as it is estimated by the kernel method) and the highest density regions. The (estimated) mode is located by a circle inside one of the zone of high density. The outliers are highlighted with a dot.
References :
Hyndman, R.J. (1996) Computing and graphing highes ...
53)
superbarplot
by
John Verzani.
Plot a barplot, with bars nested and ranging from a max to a minimum value. A similar graphic is used on the weather page of the New York Times.
A similar graphic on the weather page of the New York Times shows bars for record highs and lows, normal highs and lows and actual (or predicted) highs o ...
56)
Association Plots
by
R Development Core Team .
Produce a Cohen-Friendly association plot indicating deviations from independence of rows and columns in a 2-dimensional contingency table. For a two-way contingency table, the signed contribution to Pearson's chi^2 for cell i, j is d_{ij} = (f_{ij} - e_{ij}) / sqrt(e_{ij}), where f_{ij} and e_{ij} ...
97)
Rose diagram
by
Claudio Agostinelli.
Creates a rose diagram of a circular data set.
The circumference of the circle is split into groups, the number of groups specified by bins. For each group, a sector is drawn. The radii of the sectors are by default equal to the square root of the relative frequencies of observations in each group. ...
148)
Correlograms
by
Kevin Wright.
The corrgram function produces a graphical display of a correlation matrix, called a correlogram. The cells of the matrix can be shaded or colored to show the correlation value.
See the corrgram package ...
86)
Conditional (Survival analysis) Tree
by
Achim Zeileis,
Kurt Hornik,
Torsten Hothorn.
Conditional trees estimate a regression relationship by binary recursive partitioning in a conditional inference framework. Roughly, the algorithm works as follows:
1) Test the global null hypothesis of independence between any of the input variables and the response (which may be multivariate as ...
127)
QQ plot
by
R Development Core Team .
Quantile-Quantile plot for precip data against normal distribution. The added line passes by the first and third quartiles of data and normal distribution (quartiles are also located with big red dots) ...
51)
Times Series : Forecasting
by
Romain Francois.
Here is an example of forecasting an AR(1) process. arima.sim is used to generate a time series from such a process, arima is then used to fit an AR(1) representation given the 200 first observations. Finally predict is used to make the forecast.
See how the confidence ba ...
38)
Hexagon BinningMatrix
by
Dan Carr,
Nicholas Lewin-Koh.
Hexagon binning is a form of bivariate histogram useful for visualizing
the structure in datasets with large $n$. The underlying concept of
hexagon binning is extremely simple;
-the $xy$ plane over the set (range($x$), range($y$)) is tessellated
by a regular grid of hexagons.
- the counts o ...
43)
Violin plot
by
John Verzani.
Violin plot are similar to boxplot except that they show the density of the data, estimated by kernel method.
...
150)
steep decline in market capitalization
by
Romain Francois.
This is an alternative version of the graph used by the financial times to represent steep decline in market capitalization.
See there and here for the full story.
This alternative is using a simple lattice dotplot to present the information. See the graphical manuals for other ...
120)
Conditionnal Density Plots
by
Achim Zeileis.
The plot describes how the distribution of a categorical variable y changes over a numerical variable x.
References :
Hofmann, H., Theus, M. (2005), Interactive graphics for visualizing
conditional distributions, Unpublished Manuscript.
...
87)
Chernoff faces
by
Hans Peter Wolf.
representation of the rows of a data matrix by faces.
The features paramters of this implementation are:
1-height of face
2-width of face
3-shape of face
4-height of mouth
5-width of mouth
6-curve of smile
7-height of eyes
8-width of eyes
9-height of hair
10-width of hair
11-styling of ...
93)
Double decker plot
by
David Meyer.
Doubledecker plots visualize the dependence of one categorical (typically binary) variable on further categorical variables. Formally, they are mosaic plots with vertical splits for all dimensions (antecedents) except the last one, which represents the dependent variable (consequent). The last v ...
77)
Box-Percentile plot
by
Franck Harrell,
Jeffrey Banfield.
Box-percentile plots are similiar to boxplots, except box-percentile plots supply more information about the univariate distributions. At any height the width of the irregular "box" is proportional to the percentile of that height, up to the 50th percentile, and above the 50th percentile the width i ...
71)
Diagnostic distribution plots
by
Achim Zeileis.
distplot plots the number of occurrences (counts) against the distribution metameter of the specified distribution. If the distribution fits the data, the plot should show a straight line ...
116)
3D barplot
by
Uwe Ligges.
Playing with scatterplot3d, it is possible to draw a 3D barplot. The trick is to use type="h" and lwd=5 for a solid line looking like a bar.
References :
Ligges, U., and Maechler, M. (2003): Scatterplot3d - an R Package for Visualizing Multivariate Data. Journal of Statistical Software 8(11), 1-20 ...
154)
demo of atomic functions
by
Biecek Przemyslaw.
A list of examples for the atomic functions
polygon(), segments(), symbols(), arrows(), curve(), abline(), points(), lines()
this figure is taken from the book
Przewodnik po pakiecie R ...
73)
Circles Plot
by
Gordon Smyth.
A simple pseudo three dimensional scatterplot of circels whose sizes index a thrid variable. ...
91)
Bangdiwala's Observer Agreement Chart
by
David Meyer.
Representation of a k by k confusion matrix, where the observed and expected diagonal elements are represented by superposed black and white rectangles, respectively. The function also computes a statistic measuring the strength of agreement (relation of respective area sums).
graph 33 also uses ...
48)
Lattice graphic
by
Deepayan Sarkar,
Sander Oom,
Paul Murrel.
An example lattice graph illustrating how to control separate elements in a point and line plot in order to get a good looking black and white graph.
Note : that graph is also a demonstration of the power of the R-help system, check
that thread. ...
64)
ACF and PACF
by
B. D. Ripley,
Martyn Plummer,
Paul Gilbert.
The function acf computes (and by default plots) estimates of the autocovariance or autocorrelation function. Function pacf is the function used for the partial autocorrelations.
The two graph are next to each other thanks to the par function with its mfrow argument.
...
80)
Matlab quiver function
by
B. D. Ripley,
Robin Hankin.
a simple version of matlab's quiver function.
A vector, tensor, field, 2d arrow plot.
More comprehensive information is available in the :
R-help thread . That graph is also available in one R Wiki Page ...
89)
Histogram with equal counts
by
Uwe Ligges.
Histogram with equal counts. The breaks are computed by the quantiles. This example also shows how one can specify colors the rgb way, how to add a curve with lines, and how to control the type of line with lty.
Based on a question
of Hamish Macintyre on R-help.
...
4)
Pie chartA sample color wheel
by
R Development Core Team .
A little color wheel. This code just plots equally spaced hues in
a pie chart. If you have a cheap SVGA monitor (like me) you will
probably find that numerically equispaced does not mean visually
equispaced. On my display at home, these colors tend to cluster at
the RGB primaries. On the othe ...
3)
Simple Use of Color In a Plot
by
R Development Core Team .
Here is some code which illustrates some of the differences between
R and S graphics capabilities. Note that colors are generally specified
by a character string name (taken from the X11 rgb.txt file) and that line
textures are given similarly. The parameter bg sets the background
pa ...
160)
Regular time series
by
René Locher.
Plots one or more regular time series in multiple figures on one or
more screens (pages).
In this example, O3, NOx and temperature 30-minutes means at Altdorf from
2004-07-13 to 2004-07-22 are shown. ...
126)
Cumulative histogram
by
Romain Francois.
from : here
The cumulative histogram is a variation of the histogram in which the vertical axis gives not just the counts for a single bin, but rather gives the counts for that bin plus all bins for smaller values of the response variable. ...
68)
Geographic cluster analysis
by
Romain Francois.
A simple layout arrengement. On the left side, usa map with states coloured regarding the result of a pam clustering, colours are chosen thanks to the RColorBrewer package. On the right side, there is a 2d representation of the clusters computed and plotted by clusplot and also a silhouette plot. ...
146)
multipanel geographic Lattice plot
by
Karl Hufthammer.
Plot showing the geographic distribution of murder rates (1976)
for the United States of America. It is created by dividing the
murder rates into partially overlapping intervals, and colouring the
corresponding states using Lattice graphics. See Cleveland and McGill (1984) for alternative
w ...
140)
Seasonal temperature
by
Michael Toews.
Seasonal temperature normals for Vancouver, BC, Canada, between 1975 and 2004, made with plot.seas.temp. The boxplots are from the daily mean values and the thick vertical lines diurnal variability as derived from the median of the daily maximum and minimum temperatures. In this case the whiskers of ...
147)
Correlation Ellipses
by
The corrgram function produces a graphical display of a correlation matrix, called a correlogram. The cells of the matrix can be shaded or colored to show the correlation value.
See the corrgram package ...
30)
Kernel density estimatorIllustration of the kernels
by
Romain Francois.
That graph nicely shows the construction of the kernel density estimator (R function
density on a sample of size 5. Note that this is just illustrative, 5 points is really small to consider an estimation of the density. The colors of the components to the density are chosen by the package ...
61)
Augmented Convex Hull
by
Maja Pohar,
Gaj Vidmar.
Plots 2D convex hulls or bivariate density contours, one for each group of data. Descriptive statistics are plotted as error bars or confidence ellipses within convex hulls. Marginal distributions as well as a special legend are added by default. ...
138)
See wave
by
Jerome Sueur.
This is a graphical representation of a tree cricket calling song (Oecanthus pellucens).
An oscillogram (amplitude vs time) is associated to a spectrogram (time vs frequency vs amplitude).
Different colour palettes can be applied to the spectrogram.
...
79)
Colored Dendrogram
by
Romain Francois.
This is a colored dendrogram. Each cluster have its color. Plus, the plot displays a
factor below in order to compare it with the clusters resulting of the tree cut. On the left is shown the evolution of the hubertgamma criterion. ...
117)
Spinogram
by
Achim Zeileis.
Spinograms are an extension of histograms.
References :
Hummel, J. (1996), Linked bar charts: Analysing categorical data graphically.
Computational Statistics, 11, 23–33.
Hofmann, H., Theus, M. (2005), Interactive graphics for visualizing
conditional distributions, Unpublished M ...
128)
quiver episode 2
by
Romain Francois.
This is a sequel of plot 80 by B.D. Ripley and R. Hankin. Here quiver is much closer to its matlab definition.
We used argument plot.axes of filled.contour to add gray contour lines and arrows inside a filled.contour plot. ...
134)
teapot
by
Deepayan Sarkar,
David Forrest.
The teapot is a common example of 3d graphics. This graph uses R to
transform and display the teapot as viewed from any angle. It also
demonstrates plotting a solid object comprised of 3d patches on a 2d
graph. ...
32)
Fourfold Display
by
Achim Zeileis,
David Meyer,
Alexandros Karatzoglou,
Kurt Hornik.
The fourfold display depicts frequencies by quarter circles, whose radius is proportional to `\sqrt{n_{ij}}` , so the area is proportional to the cell count . The cell frequencies
are usually scaled to equate the marginal totals, and so that the ratio of diagonally opposite segments depicts the odd ...
65)
Bollinger Bands
by
Dirk Eddelbuettel.
This graph is a particular chart that practioners in Finance
like to look at to complement other analyses: Bollinger
Bands of (typically 2) standard deviation around the current price.
The code also colors up-moves and down-moves differently, and shows
where day's open and close ...
106)
Spie chart
by
Romain Francois.
Spie charts are useful to compare two partitions, the first one sets the angles of the slices and the second one sets the radii.
References :
D. G. Feitelson (2003), "Comparing Partitions with Spie Charts". School of Computer Science and Engineering, The Hebrew University of Jerusalem. http:/ ...
113)
US 2004 elections map
by
Hedderik van Rijn.
This plot is based on a plot that appeared in a New York Times flash-based editoral. Note that there are some differences in the maps shown here and the NYT maps, most notably with respect to some missing data in some New England states, some mismatches in county names, and the representation of NYC ...
60)
Balloon plot
by
Greg Warnes.
Plot a graphical matrix where each cell contains a dot whose size reflects the relative magnitude of the corresponding component. ...
57)
bar plot
by
R Development Core Team .
Creates a bar plot with vertical or horizontal bars. Default gray colors are particularly well chosen with the barplot function. The alliance with the dark blue border is great.
Note that axis annotations are horizontal thanks to par. ...
92)
Coplot for Contingency Tables
by
Achim Zeileis.
cotabplot is a generic function for creating trellis-like coplots (conditional plots) for contingency tables. cotabplot takes on computing the conditioning information and setting up the trellis display, and then relies on a panel function to create plots from the full table and the conditioning inf ...
101)
Frequency polygon
by
Romain Francois.
The frequency polygon is a density etsimator based on the histogram. It just consists of linking the mid points of the histogram bars, which is quite easy to do with R. The frequency polygon is continuous and then smoother than the histogram. However, it is not derivable in all points.
This code ...
141)
Seasonal precipitation
by
Michael Toews.
Seasonal precipitation in Vancouver, BC, Canada, between 1975 and 2004, created from image.seas.sum. The upper-left frame is the normalized sum of precipitation in 11-day groups for the years of data, which sum to the upper-right frame (same as annual precipitation totals); the lower-left frame is s ...
6)
Notched boxplots
by
R Development Core Team .
Boxplots: I couldn't resist the capability for filling the "box".
The use of color seems like a useful addition, it focuses attention
on the central bulk of the data.
...
67)
cluster plot
by
R Development Core Team .
Creates a bivariate plot visualizing a partition (clustering) of the data. All observation are represented by points in the plot, using principal components or multidimensional scaling. Around each cluster an ellipse is drawn. ...
132)
SOM representatives star plot
by
R Development Core Team .
Star plot of the representatives of a batch Self Organizing map (SOM) applied on crabs data.
References
Kohonen, T. (1995) Self-Organizing Maps. Springer-Verlag.
Ripley, B. D. (1996)
Pattern Recognition and Neural Networks. Cambridge.
Venables, W. N. and Ripley, B. D. (2002)
Mode ...
105)
Conditionned Highest density regions
by
Rob J Hyndman.
Plot of highest density regions for a conditional density estimate.
Reference :
Hyndman, R.J., Bashtannyk, D.M. and Grunwald, G.K. (1996)
"Estimating and visualizing conditional densities". Journal of
Computational and Graphical Statistics, 5, 315-336. ...
52)
Lattice : confidence intervals
by
Sander Oom.
The function plotmeans{gplots} provides an easy option to plot means and confidence intervals for a variable at different levels of a single factor. This code is a workaround to allow plotting of means and confidence intervals of a variable at different levels of multiple factors, using library(latt ...
143)
hexbin pie
by
Bálint Czúcz.
This plotting function can be used to visualize a categorical variable
against a pair of continuous variables (x,y). The original data on the
x,y plane are divided into hexagonal bins with the aid of
biocunductor's hexbin package. The data falling into the same bin are
then visualized by small p ...
36)
Mosaic plot
by
R Development Core Team .
Mosaicplot graph represents a contingency table, each cell corresponding to a piece of the plot, which size is proportional to cell entry.
Extended mosaic displays show the standardized residuals of a
loglinear model of the counts from by the color and outline of the
mosaic's tiles. ...
