Les exemples des fonctions graphiques de haut niveau
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1 Fiche TD avec le logiciel : tdr79 Les exemples des fonctions graphiques de haut niveau P r Jean R. Lobry Table des matières 1 Introduction 3 2 boot glm.diag.plots : Diagnostics plots for generalized linear models jack.after.boot : Jackknife-after-Bootstrap Plots plot.boot : Plots of the Output of a Bootstrap Simulation cluster bannerplot : Plot Banner (of Hierarchical Clustering) clusplot.default : Bivariate Cluster Plot (clusplot) Default Method clusplot : Bivariate Cluster Plot (of a Partitioning Object) ellipsoidhull : Compute the Ellipsoid Hull or Spanning Ellipsoid of a Point Set plot.agnes : Plots of an Agglomerative Hierarchical Clustering plot.diana : Plots of a Divisive Hierarchical Clustering plot.mona : Banner of Monothetic Divisive Hierarchical Clusterings plot.partition : Plot of a Partition of the Data Set pltree : Plot Clustering Tree of a Hierarchical Clustering graphics assocplot : Association Plots barplot : Bar Plots boxplot : Box Plots boxplot.matrix : Draw a Boxplot for each Column (Row) of a Matrix cdplot : Conditional Density Plots contour : Display Contours coplot : Conditioning Plots curve : Draw Function Plots
2 4.9 dotchart : Cleveland s Dot Plots filled.contour : Level (Contour) Plots fourfoldplot : Fourfold Plots hist.posixt : Histogram of a Date or Date-Time Object hist : Histograms image : Display a Color Image matplot : Plot Columns of Matrices mosaicplot : Mosaic Plots pairs : Scatterplot Matrices panel.smooth : Simple Panel Plot persp : Perspective Plots pie : Pie Charts plot : Generic X-Y Plotting plot.data.frame : Plot Method for Data Frames plot.default : The Default Scatterplot Function plot.design : Plot Univariate Effects of a Design or Model plot.factor : Plotting Factor Variables plot.formula : Formula Notation for Scatterplots plot.raster : Plotting Raster Images plot.table : Plot Methods for table Objects plot.histogram : Plot Histograms smoothscatter : Scatterplots with Smoothed Densities Color Representation spineplot : Spine Plots and Spinograms stars : Star (Spider/Radar) Plots and Segment Diagrams stripchart : 1-D Scatter Plots sunflowerplot : Produce a Sunflower Scatter Plot symbols : Draw Symbols (Circles, Squares, Stars, Thermometers, Boxplots) lattice barchart.table : table methods for barchart and dotplot cloud : 3d Scatter Plot and Wireframe Surface Plot histogram : Histograms and Kernel Density Plots levelplot : Level plots and contour plots panel.smoothscatter : Lattice panel function analogous to smoothscatter print.trellis : Plot and Summarize Trellis Objects equal.count : shingles splom : Scatter Plot Matrices xyplot : Common Bivariate Trellis Plots xyplot.ts : Time series plotting methods MASS boxcox : Box-Cox Transformations for Linear Models eqscplot : Plots with Geometrically Equal Scales hist.scott : Plot a Histogram with Automatic Bin Width Selection ldahist : Histograms or Density Plots of Multiple Groups logtrans : Estimate log Transformation Parameter version ( ) Page 2/81 Compilé le
3 6.6 pairs.lda : Produce Pairwise Scatterplots from an lda Fit parcoord : Parallel Coordinates Plot plot.lda : Plot Method for Class lda plot.mca : Plot Method for Objects of Class mca plot.profile : Plotting Functions for profile Objects truehist : Plot a Histogram Matrix image-methods : Methods for image() in Package Matrix mgcv exclude.too.far : Exclude prediction grid points too far from data plot.gam : Default GAM plotting polys.plot : Plot geographic regions defined as polygons vis.gam : Visualization of GAM objects nlme plot.lme : Plot an lme or nls object stats biplot : Biplot of Multivariate Data biplot.princomp : Biplot for Principal Components cpgram : Plot Cumulative Periodogram dendrogram : General Tree Structures ecdf : Empirical Cumulative Distribution Function heatmap : Draw a Heat Map interaction.plot : Two-way Interaction Plot lag.plot : Time Series Lag Plots monthplot : Plot a Seasonal or other Subseries from a Time Series plot.acf : Plot Autocovariance and Autocorrelation Functions plot.isoreg : Plot Method for isoreg Objects plot.lm : Plot Diagnostics for an lm Object plot.ppr : Plot Ridge Functions for Projection Pursuit Regression Fit plot.spec : Plotting Spectral Densities plot.stepfun : Plot Step Functions plot.ts : Plotting Time-Series Objects qqnorm : Quantile-Quantile Plots termplot : Plot Regression Terms survival plot.survfit : Plot method for survfit objects Introduction Les fonctions graphiques de haut niveau «high level plot», abrégé en hplot pour help.search(), disponibles dans un paquet, par exemple ici le paquet graphics, sont données par : help.search(package = "graphics", keyword = "hplot", rebuild = TRUE) version ( ) Page 3/81 Compilé le
4 Les paquets explorés ici sont ceux de la distribution standard, c est à dire ceux qui sont décrits comme base ou recommended. Leur liste peut être obtenue ainsi : pcklist <- installed.packages() pcklist <- pcklist[!is.na(pcklist[, "Priority"]), c(1, 3, 4)] pcklist Package Version Priority base "base" "3.3.1" "base" boot "boot" "1.3-18" "recommended" class "class" "7.3-14" "recommended" cluster "cluster" "2.0.5" "recommended" codetools "codetools" "0.2-15" "recommended" compiler "compiler" "3.3.1" "base" datasets "datasets" "3.3.1" "base" foreign "foreign" "0.8-67" "recommended" graphics "graphics" "3.3.1" "base" grdevices "grdevices" "3.3.1" "base" grid "grid" "3.3.1" "base" KernSmooth "KernSmooth" " " "recommended" lattice "lattice" " " "recommended" MASS "MASS" "7.3-45" "recommended" Matrix "Matrix" " " "recommended" methods "methods" "3.3.1" "base" mgcv "mgcv" "1.8-15" "recommended" nlme "nlme" " " "recommended" nnet "nnet" "7.3-12" "recommended" parallel "parallel" "3.3.1" "base" rpart "rpart" "4.1-10" "recommended" spatial "spatial" "7.3-11" "recommended" splines "splines" "3.3.1" "base" stats "stats" "3.3.1" "base" stats4 "stats4" "3.3.1" "base" survival "survival" "2.39-5" "recommended" tcltk "tcltk" "3.3.1" "base" tools "tools" "3.3.1" "base" utils "utils" "3.3.1" "base" Les graphiques ci-après sont ceux que l on obtient en exécutant les exemples de la documentation, par exemple : example(plot). On peut utiliser par(ask = FALSE) pour les faire apparaître plus progressivement sur la fenêtre graphique. 2 boot glm.diag.plots : Diagnostics plots for generalized linear models version ( ) Page 4/81 Compilé le
5 2.2 jack.after.boot : Jackknife-after-Bootstrap Plots 2.3 plot.boot : Plots of the Output of a Bootstrap Simulation version ( ) Page 5/81 Compilé le
6 3 cluster bannerplot : Plot Banner (of Hierarchical Clustering) version ( ) Page 6/81 Compilé le
7 3.2 clusplot.default : Bivariate Cluster Plot (clusplot) Default Method version ( ) Page 7/81 Compilé le
8 3.3 clusplot : Bivariate Cluster Plot (of a Partitioning Object) 3.4 ellipsoidhull : Compute the Ellipsoid Hull or Spanning Ellipsoid of a Point Set version ( ) Page 8/81 Compilé le
9 3.5 plot.agnes : Plots of an Agglomerative Hierarchical Clustering 3.6 plot.diana : Plots of a Divisive Hierarchical Clustering version ( ) Page 9/81 Compilé le
10 3.7 plot.mona : Banner of Monothetic Divisive Hierarchical Clusterings version ( ) Page 10/81 Compilé le
11 3.8 plot.partition : Plot of a Partition of the Data Set version ( ) Page 11/81 Compilé le
12 3.9 pltree : Plot Clustering Tree of a Hierarchical Clustering version ( ) Page 12/81 Compilé le
13 4 graphics assocplot : Association Plots version ( ) Page 13/81 Compilé le
14 4.2 barplot : Bar Plots version ( ) Page 14/81 Compilé le
15 version ( ) Page 15/81 Compilé le
16 4.3 boxplot : Box Plots version ( ) Page 16/81 Compilé le
17 4.4 boxplot.matrix : Draw a Boxplot for each Column (Row) of a Matrix 4.5 cdplot : Conditional Density Plots version ( ) Page 17/81 Compilé le
18 4.6 contour : Display Contours version ( ) Page 18/81 Compilé le
19 4.7 coplot : Conditioning Plots version ( ) Page 19/81 Compilé le
20 version ( ) Page 20/81 Compilé le
21 4.8 curve : Draw Function Plots version ( ) Page 21/81 Compilé le
22 4.9 dotchart : Cleveland s Dot Plots 4.10 filled.contour : Level (Contour) Plots version ( ) Page 22/81 Compilé le
23 4.11 fourfoldplot : Fourfold Plots version ( ) Page 23/81 Compilé le
24 4.12 hist.posixt : Histogram of a Date or Date-Time Object version ( ) Page 24/81 Compilé le
25 4.13 hist : Histograms version ( ) Page 25/81 Compilé le
26 4.14 image : Display a Color Image version ( ) Page 26/81 Compilé le
27 4.15 matplot : Plot Columns of Matrices version ( ) Page 27/81 Compilé le
28 4.16 mosaicplot : Mosaic Plots version ( ) Page 28/81 Compilé le
29 4.17 pairs : Scatterplot Matrices version ( ) Page 29/81 Compilé le
30 4.18 panel.smooth : Simple Panel Plot version ( ) Page 30/81 Compilé le
31 4.19 persp : Perspective Plots version ( ) Page 31/81 Compilé le
32 4.20 pie : Pie Charts version ( ) Page 32/81 Compilé le
33 4.21 plot : Generic X-Y Plotting version ( ) Page 33/81 Compilé le
34 4.22 plot.data.frame : Plot Method for Data Frames version ( ) Page 34/81 Compilé le
35 4.23 plot.default : The Default Scatterplot Function version ( ) Page 35/81 Compilé le
36 4.24 plot.design : Plot Univariate Effects of a Design or Model version ( ) Page 36/81 Compilé le
37 4.25 plot.factor : Plotting Factor Variables 4.26 plot.formula : Formula Notation for Scatterplots version ( ) Page 37/81 Compilé le
38 4.27 plot.raster : Plotting Raster Images version ( ) Page 38/81 Compilé le
39 4.28 plot.table : Plot Methods for table Objects 4.29 plot.histogram : Plot Histograms version ( ) Page 39/81 Compilé le
40 4.30 smoothscatter : Scatterplots with Smoothed Densities Color Representation 4.31 spineplot : Spine Plots and Spinograms version ( ) Page 40/81 Compilé le
41 4.32 stars : Star (Spider/Radar) Plots and Segment Diagrams version ( ) Page 41/81 Compilé le
42 version ( ) Page 42/81 Compilé le
43 version ( ) Page 43/81 Compilé le
44 4.33 stripchart : 1-D Scatter Plots version ( ) Page 44/81 Compilé le
45 4.34 sunflowerplot : Produce a Sunflower Scatter Plot version ( ) Page 45/81 Compilé le
46 4.35 symbols : Draw Symbols (Circles, Squares, Stars, Thermometers, Boxplots) version ( ) Page 46/81 Compilé le
47 5 lattice barchart.table : table methods for barchart and dotplot version ( ) Page 47/81 Compilé le
48 5.2 cloud : 3d Scatter Plot and Wireframe Surface Plot version ( ) Page 48/81 Compilé le
49 5.3 histogram : Histograms and Kernel Density Plots 5.4 levelplot : Level plots and contour plots version ( ) Page 49/81 Compilé le
50 5.5 panel.smoothscatter : Lattice panel function analogous to smoothscatter 5.6 print.trellis : Plot and Summarize Trellis Objects version ( ) Page 50/81 Compilé le
51 5.7 equal.count : shingles 5.8 splom : Scatter Plot Matrices version ( ) Page 51/81 Compilé le
52 5.9 xyplot : Common Bivariate Trellis Plots version ( ) Page 52/81 Compilé le
53 version ( ) Page 53/81 Compilé le
54 5.10 xyplot.ts : Time series plotting methods version ( ) Page 54/81 Compilé le
55 version ( ) Page 55/81 Compilé le
56 6 MASS boxcox : Box-Cox Transformations for Linear Models 6.2 eqscplot : Plots with Geometrically Equal Scales 6.3 hist.scott : Plot a Histogram with Automatic Bin Width Selection 6.4 ldahist : Histograms or Density Plots of Multiple Groups 6.5 logtrans : Estimate log Transformation Parameter version ( ) Page 56/81 Compilé le
57 6.6 pairs.lda : Produce Pairwise Scatterplots from an lda Fit 6.7 parcoord : Parallel Coordinates Plot 6.8 plot.lda : Plot Method for Class lda 6.9 plot.mca : Plot Method for Objects of Class mca version ( ) Page 57/81 Compilé le
58 6.10 plot.profile : Plotting Functions for profile Objects 6.11 truehist : Plot a Histogram 7 Matrix image-methods : Methods for image() in Package Matrix version ( ) Page 58/81 Compilé le
59 8 mgcv exclude.too.far : Exclude prediction grid points too far from data version ( ) Page 59/81 Compilé le
60 8.2 plot.gam : Default GAM plotting version ( ) Page 60/81 Compilé le
61 8.3 polys.plot : Plot geographic regions defined as polygons version ( ) Page 61/81 Compilé le
62 8.4 vis.gam : Visualization of GAM objects version ( ) Page 62/81 Compilé le
63 9 nlme plot.lme : Plot an lme or nls object 10 stats biplot : Biplot of Multivariate Data version ( ) Page 63/81 Compilé le
64 10.2 biplot.princomp : Biplot for Principal Components 10.3 cpgram : Plot Cumulative Periodogram version ( ) Page 64/81 Compilé le
65 10.4 dendrogram : General Tree Structures version ( ) Page 65/81 Compilé le
66 10.5 ecdf : Empirical Cumulative Distribution Function version ( ) Page 66/81 Compilé le
67 10.6 heatmap : Draw a Heat Map version ( ) Page 67/81 Compilé le
68 version ( ) Page 68/81 Compilé le
69 10.7 interaction.plot : Two-way Interaction Plot version ( ) Page 69/81 Compilé le
70 10.8 lag.plot : Time Series Lag Plots version ( ) Page 70/81 Compilé le
71 10.9 monthplot : Plot a Seasonal or other Subseries from a Time Series version ( ) Page 71/81 Compilé le
72 10.10 plot.acf : Plot Autocovariance and Autocorrelation Functions version ( ) Page 72/81 Compilé le
73 10.11 plot.isoreg : Plot Method for isoreg Objects version ( ) Page 73/81 Compilé le
74 version ( ) Page 74/81 Compilé le
75 10.12 plot.lm : Plot Diagnostics for an lm Object version ( ) Page 75/81 Compilé le
76 version ( ) Page 76/81 Compilé le
77 10.13 plot.ppr : Plot Ridge Functions for Projection Pursuit Regression Fit plot.spec : Plotting Spectral Densities version ( ) Page 77/81 Compilé le
78 10.15 plot.stepfun : Plot Step Functions version ( ) Page 78/81 Compilé le
79 10.16 plot.ts : Plotting Time-Series Objects version ( ) Page 79/81 Compilé le
80 10.17 qqnorm : Quantile-Quantile Plots version ( ) Page 80/81 Compilé le
81 10.18 termplot : Plot Regression Terms 11 survival plot.survfit : Plot method for survfit objects version ( ) Page 81/81 Compilé le
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