graphique {GeoXp} | R Documentation |
The function `graphique' draws a specific graphic. Possibility to draw one of these graphics : Histogram, Barplot, Boxplot, Polyboxplot, Scatterplot, Densityplot, Neighbourplot, Lorentz, Moran, Angleplot, Variocloud, Cluster and PCA (graphics of individuals and variables). This function is called in most of the functions of GeoXp (this is not an interactive function).
graphique(var1, var2, var3, obs, num, graph = "", couleurs = "", symbol = 0, col = 0, labvar = "", nbcol = 10, alpha1, W, Xpoly, Ypoly, F, G, opt1 = 1, opt2 = 1, quantiles = 0.5, labmod = "", direct, inertie, label = 0, kernel, obsq, locmoran = 0, bin = NULL)
var1 |
1st variable of size $n$ |
var2 |
2nd variable of size $n$ |
var3 |
3rd variable of size $n$ (used for variocloudmap) |
obs |
a vector of boolean of size $n$ with sites selected |
num |
number of windows which must be activated (3 ou 4) |
graph |
name of graphic which must be drawn : Histogram, Barplot, Boxplot, Polyboxplot, Scatterplot, Densityplot1, Densityplot2, Neighbourplot, Lorentz, Moran, Quadrant, Angleplot, Variocloud, Cluster, Acp1, Acp2 |
couleurs |
Possibilty to change colors (for admin only) |
symbol |
0 or 1, choice of representation of points selected (0, selected points are in red or 1, selectd points are stars) |
col |
0 or 1, choice of representation of points selected (0, sites are represented in blue and 1, sites are represented with different colors for each factor) |
labvar |
name(s) of variable(s) studied |
nbcol |
number of cells if the graphic choosen is the histogram (10 by default) |
alpha1 |
regression smoothing paramater |
W |
Spatial weight matrix |
Xpoly |
x-coordinates of the vertices of selected polygon |
Ypoly |
y-coordinates of the vertices of selected polygon |
F |
Used for Ginimap |
G |
Used for Ginimap |
opt1 |
Option for scattermap (1 graphic only, 2 drawing of the conditionnal median regression spline, 3 drawing of the conditionnal quantile regression spline (user has to give option quantiles)) |
opt2 |
Option for drawing robust empirical variogram |
quantiles |
vector which contains the values of $α$ for conditionnal quantile |
labmod |
names of factor if the graphic choosed is a barplot |
direct |
Used for PCA |
inertie |
Used for PCA |
label |
Name of sites |
kernel |
Name of the kernel choosed in densitymap |
obsq |
Used for clustermap and barmap |
locmoran |
Print local moran for each site |
bin |
The bins chosen to calculte empirical variogram |
This function is called by any function which draws a graphic. A lot of options are considered because of the large number of graphics proposed
No values, only drawing of a graphic
Thomas-Agnan C., Aragon Y., Ruiz-Gazen A., Laurent T., Robidou L.
Aragon Yves, Perrin Olivier, Ruiz-Gazen Anne, Thomas-Agnan Christine (2008), ``Statistique et Econométrie pour données géoréférencées : modèles et études de cas''