R:

A B C D E F G I J K L M N O P Q R S U

"[.fasp"	Extract Subset of Function Array
"[.ppp"	Extract Subset of Point Pattern

-- A --

affine	Apply Affine Transformation
affine.owin	Apply Affine Transformation To Window
affine.ppp	Apply Affine Transformation To Point Pattern
allstats	Calculate four standard summary functions of a point pattern.
alltypes	Calculate Statistic for All Types in a Multitype Point Pattern
area.owin	Area of a Window
as.mask	Pixel Image Approximation of a Window
as.owin	Convert Data To Class owin
as.ppp	Convert Data To Class ppp
as.rectangle	Window Frame

-- B --

bdist.pixels	Distance to Boundary of Window
bdist.points	Distance to Boundary of Window
bounding.box	Bounding Box of a Window
bramblecanes	Hutchings' Bramble Canes data

-- C --

catHughes	Hughes' Cat Retina Data
catWaessle	Cat Retina Data
cells	Biological Cells Point Pattern
complement.owin	Take Complement of a Window
concatxy	Concatenate x,y Coordinate Vectors
conspire	Plot Together According to a Formula
corners	Corners of a rectangle

-- D --

default.dummy	Generate a Default Pattern of Dummy Points
demopat	Artificial Data Point Pattern
diameter	Diameter of a Window Frame
dirichlet.weights	Compute Quadrature Weights Based on Dirichlet Tessellation

-- E --

empty.space	Estimate the empty space function F
erode.owin	Erode a Window
eroded.areas	Areas of Morphological Erosions

-- F --

fasp.object	Function Arrays for Spatial Patterns
Fest	Estimate the empty space function F

-- G --

Gcross	Multitype Nearest Neighbour Distance Function (i-to-j)
Gdot	Multitype Nearest Neighbour Distance Function (i-to-any)
Gest	Nearest Neighbour Distance Function G
Geyer	Geyer's Saturation Point Process Model
Gmulti	Marked Nearest Neighbour Distance Function
gridcenters	Rectangular grid of points
gridcentres	Rectangular grid of points
gridweights	Compute Quadrature Weights Based on Grid Counts

-- I --

Test Whether Points Are Inside A Window

-- J --

Jcross	Multitype J Function (i-to-j)
Jdot	Multitype J Function (i-to-any)
Jest	Estimate the J-function
Jmulti	Marked J Function

-- K --

kaplan.meier	Kaplan-Meier Estimator using Histogram Data
Kcross	Multitype K Function (Cross-type)
Kdot	Multitype K Function (i-to-any)
Kest	K-function
Kinhom	Inhomogeneous K-function
kmrs	Kaplan-Meier and Reduced Sample Estimator using Histograms
Kmulti	Marked K-Function

-- L --

lansing	Lansing Woods Point Pattern
longleaf	Longleaf Pines Point Pattern

-- M --

mpl	Fit Point Process Model by Maximum Pseudolikelihood
MultiStrauss	The Multitype Strauss Point Process Model
MultiStraussHard	The Multitype/Hard Core Strauss Point Process Model

-- N --

nearest.neighbour	Nearest Neighbour Distance Function G
nearest.raster.point	Find Pixel Nearest to a Given Point
nztrees	New Zealand Trees Point Pattern

-- O --

Ord	Generic Ord Interaction model
ord.family	Ord Interaction Process Family
OrdThresh	Ord's Interaction model
owin	Create a Window
owin.object	Class owin

-- P --

PairPiece	The Piecewise Constant Pairwise Interaction Point Process Model
pairsat.family	Saturated Pairwise Interaction Point Process Family
Pairwise	Generic Pairwise Interaction model
pairwise.family	Pairwise Interaction Process Family
pcf	Pair Correlation Function
plot.fasp	Plot a Function Array
plot.owin	Plot a Spatial Window
plot.ppm	plot a Fitted Point Process Model
plot.ppp	plot a Spatial Point Pattern
Poisson	Poisson Point Process Model
ppm.object	Class of Fitted Point Process Models
ppp	Create a Point Pattern
ppp.object	Class of Point Patterns
predict.ppm	Prediction from a Fitted Point Process Model
print.ppm	Print a Fitted Point Process Model

-- Q --

quad.object	Class of Quadrature Schemes
quadscheme	Generate a Quadrature Scheme from a Point Pattern

-- R --

raster.x	Cartesian Coordinates for a Pixel Raster
raster.y	Cartesian Coordinates for a Pixel Raster
reduced.sample	Reduced Sample Estimator using Histogram Data
redwood	California Redwoods Point Pattern
rMatClust	Simulate Matern Cluster Process
rMaternI	Simulate Matern Model I
rMaternII	Simulate Matern Model II
rmh	Simulate point patterns using the Metropolis-Hastings algorithm.
rNeymanScott	Simulate Neyman-Scott Process
rotate	Rotate
rotate.owin	Rotate a Window
rotate.ppp	Rotate a Point Pattern
rpoispp	Generate Poisson Point Pattern
rSSI	Simple Sequential Inhibition
rThomas	Simulate Thomas Process
runifpoint	Generate N Uniform Random Points

-- S --

Saturated	Saturated Pairwise Interaction model
shift	Apply Vector Translation
shift.owin	Apply Vector Translation To Window
shift.ppp	Apply Vector Translation To Point Pattern
simdat	Simulated Point Pattern
Softcore	The Soft Core Point Process Model
spokes	Spokes pattern of dummy points
stratrand	Stratified random point pattern
Strauss	The Strauss Point Process Model
StraussHard	The Strauss / Hard Core Point Process Model
subset.fasp	Extract Subset of Function Array
subset.ppp	Extract Subset of Point Pattern
superimpose	Superimpose Several Point Patterns
swedishpines	Swedish Pines Point Pattern

-- U --

union.quad	Union of Data and Dummy Points
unmark	Remove Marks from a Marked Point Pattern