[processing] R improvements

This commit:

Deletes Example scripts

Replaces Example scripts with more up to date versions

Adds general categories for r scripts: Basic statistics, Vector processing, Raster processing and Point pattern analysis

adds help files to all r scripts

Adds a groups of r scripts entitled Home range analysis, that includes Kernel href, LSCV Kernel, Minimum convex polygon, single linkage cluster analysis and characteristic hull method, using adehabitatHR()

Adds the following R scripts contributed by Yury Ryabov ( riabovvv(at)gmail.com ): Advanced raster histogram, Monte carlo spatial randomness, Relative distribution (distance covariate), Relative distribution (raster covariate),

Author: volaya

python/plugins/processing/r/scripts/Advanced_Raster_histogram.rsx

@@ -0,0 +1,22 @@
+(dp0
+S'ALG_CREATOR'
+p1
+V
+p2
+sS'ALG_DESC'
+p3
+VThis algorithm generates a histogram or a density plot for the given raster. NOTE that you should not use this algorithm to process large rasters.\u000a\u000aR dependencies: rpanel, rasterVis. If you are using Linux you need to install "tcktk" and "BWidget" from your package master.
+p4
+sS'Dens_or_Hist'
+p5
+VUse 'hist' to produce histogram of the raster values (separate plots for each band) and 'dens' if you want to create a density plot (single plot for all bands).
+p6
+sS'RPLOTS'
+p7
+VRaster histogram.
+p8
+sS'Layer'
+p9
+VA single- or multi-band raster.
+p10
+s.

python/plugins/processing/r/scripts/Advanced_raster_histogram.rsx.help

@@ -0,0 +1,8 @@
+##Home Range Analysis=group
+##Layer=vector
+##Field=Field Layer
+##Home_ranges=Output vector
+library(adehabitatHR)
+library(deldir)
+res <- CharHull(Layer[,Field])
+Home_ranges<-getverticeshr(res)

python/plugins/processing/r/scripts/Characteristic_hull_method.rsx

@@ -0,0 +1,26 @@
+(dp0
+S'ALG_DESC'
+p1
+VThis  script computes the Characteristic Hull method that relies on the calculation of the Delaunay triangulation of the set of relocations. Then, the triangles are ordered according to their area (and not their perimeter). The smallest triangles correspond to the areas the most intensively used by the animals. It is then possible to derive the home range estimated for a given percentage level.\u000a\u000aR depencies: library "adehabitatHR" and "deldir".\u000a
+p2
+sS'Home_ranges'
+p3
+VThe home-range contours.
+p4
+sS'ALG_CREATOR'
+p5
+VFilipe S. Dias, filipesdias(at)gmail.com
+p6
+sS'Layer'
+p7
+VA layer containing the relocations of one or more animals
+p8
+sS'Field'
+p9
+VThe field containing the unique indentifer for each animal (type "string").
+p10
+sS'ALG_HELP_CREATOR'
+p11
+VFilipe S. Dias, filipesdias(at)gmail.com
+p12
+s.

python/plugins/processing/r/scripts/Characteristic_hull_method.rsx.help

@@ -0,0 +1,4 @@
+##Vector processing=group
+##Layer = raster
+##showplots
+hist(as.matrix(Layer),main="Histogram",xlab="Layer")

python/plugins/processing/r/scripts/Compute_Ripley-Rasson_spatial_domain.rsx

@@ -0,0 +1,22 @@
+(dp0
+S'ALG_CREATOR'
+p1
+VFilipe S. Dias
+p2
+sS'Field'
+p3
+VA numeric field.
+p4
+sS'ALG_DESC'
+p5
+VThis tool creates a dotplot of the input numeric field using the function dotchart().\u000a
+p6
+sS'Layer'
+p7
+VA vector layer with a numeric field.
+p8
+sS'ALG_HELP_CREATOR'
+p9
+VFilipe S. Dias
+p10
+s.

python/plugins/processing/r/scripts/Create_random_sampling_grid.rsx

@@ -0,0 +1,8 @@
+##Point pattern analysis=group
+##Layer=vector
+##Nsim=number 10
+##showplots
+library("maptools")
+library("spatstat")
+ppp=as(as(Layer, "SpatialPoints"),"ppp")
+plot(envelope(ppp, Fest, nsim=Nsim))