polyboxplotmap {GeoXp} | R Documentation |
Parallel Boxplots of a numerical variable by levels of a factor. It interacts with a map.
polyboxplotmap(long, lat, var2, var1, listvar = NULL, listnomvar = NULL, carte = NULL, criteria = NULL, label = "", labmod = "", labvar = "", symbol = 0, color = 1, axis = FALSE, lablong = "", lablat = "")
long |
a vector $x$ of size $n$ |
lat |
a vector $y$ of size $n$ |
var2 |
a vector of factor of size $n$ |
var1 |
a vector of numerical values of size $n$ |
listvar |
matrix of variables fo size $n times p$ for optional additional graph and bubbles |
listnomvar |
list of character of size $p$ with names of variables inluded in $listvar$ |
carte |
matrix with 2 columns for drawing spatial polygonal contours : $x$ and $y$ coordinates of the vertices of the polygon |
criteria |
a vector of size $n$ of boolean with TRUE on specific sites (these for non interactive selection) |
label |
vector of character of size n with name of each site |
labmod |
names of factors $var2$ |
labvar |
list of names for variables $var2$ and $var1$ |
symbol |
0 or 1, choice of representation of selected points. If 0, selected points are circles, if 1, selected points are stars |
color |
0 or 1, choice of representation of selected points. If 0, sites are represented in blue, if 1, sites are represented with different colors for each factor of $var2$ |
axis |
a boolean with TRUE for drawing axes on the map |
lablong |
name of the x-axis that will be printed on the map |
lablat |
name of the y-axis that will be printed on the map |
Each site is associated to a value of $var1$ and a level of $var2$. There is an interactivity only in one direction : the sites selected by quartile-intervals on one of the boxplots are then represented on the map in red (or colors according to the options).
A vector of boolean of size $n$. TRUE if the site was in the last selection.
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''
dblehistomap
, histobarmap
, scattermap
, dbledensitymap
# Data eire data(eire) data(eire.polys) eire.contours<-polylist2list(eire.polys) polyboxplotmap(eire$V1,eire$V2,eire$pale,eire$POPCHG, listvar=eire,listnomvar=names(eire),carte=eire.contours, labvar="Appartenance ou non à la région du Pale", labmod=c("Hors Pale","Pale"))