- Home
- CRAN
**splancs**: Spatial and Space-Time Point Pattern Analysis**amacrines**: Amacrines on/off data set

# Amacrines on/off data set

### Description

Two two-column matrices of points marked on and off

### Usage

1 | ```
data(amacrines)
``` |

### Format

Two two-column matrices of points marked on and off

### Source

http://www.maths.lancs.ac.uk/~diggle/pointpatterns/Datasets/, Peter J. Diggle, Department of Mathematics and Statistics, Lancaster University, Lancaster LA1 4YF, UK: public-domain spatial point pattern data-sets.

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.

- addpoints: Add points interactively to a point data set
- amacrines: Amacrines on/off data set
- areapl: Calculate area of polygon
- as.points: Creates data in spatial point format
- bbox: Generate a non-closed bounding polygon
- bodmin: Bodmin Moors granite tors
- burkitt: Burkitt's lymphoma in Uganda
- cardiff: Locations of homes of juvenile offenders
- csr: Generate completely spatially random points on a polygon
- delpoints: Select points to delete from a points data set
- dsquare: Distance-squared from a number of points to a number of...
- Fhat: F nearest neighbour distribution function
- Fzero: Theoretical nearest neighbour distribution function
- gen: generate points in polygon
- getpoly: Draw a polygon on the current graphics device
- Ghat: G nearest neighbour distribution function
- gridpts: Generate a grid of points
- inout: Test points for inclusion in a polygon
- inpip: Select points inside a polygon
- is.points: Point Objects
- k12hat: Bivariate K-function
- Kenv.csr: Envelope of Khat from simulations of complete spatial...
- Kenv.label: Envelope of K1hat-K2hat from random labelling of two point...
- Kenv.pcp: Calculate simulation envelope for a Poisson Cluster Process
- Kenv.tor: Envelope of K12hat from random toroidal shifts of two point...
- Kenv.tor1: Modified envelope of K12hat from random toroidal shifts of...
- kernel2d: Kernel smoothing of a point pattern
- kernel3d: Space-time kernel
- kernrat: Ratio of two kernel smoothings
- kerview: A linked-window system for browsing space-time data
- khat: K-function
- khvc: Covariance matrix for the difference between two K-functions
- khvmat: Covariance matrix for the difference between two K-functions
- mpoint: Overlay a number of point patterns
- mse2d: Mean Square Error for a Kernel Smoothing
- n2dist: Nearest neighbours for two point patterns
- nndistF: Nearest neighbour distances as used by Fhat()
- nndistG: Nearest neighbour distances as used by Ghat()
- npts: Number of points in data set
- okblack: Oklahoma black offenders
- okwhite: Oklahoma white offenders
- pcp: Fit a Poisson cluster process
- pcp.sim: Generate a Poisson Cluster Process
- pdense: Overall density for a point pattern
- pip: Points inside or outside a polygon
- plt: bins nearest neighbour distances
- pointmap: Graphics
- polymap: Graphics
- print.ribfit: Display the fit from tribble()
- ranpts: adjust number of random points in polygon
- rlabel: Randomly label two or more point sets
- rtor.shift: Random toroidal shift on a point data set
- sbox: Generate a box surrounding a point object
- secal: Standard errors for the difference between two K-functions
- shift: Shift a point data set
- southlancs: Cancer cases in Chorley-Ribble
- splancs: Return version number and author information
- spoints: Point Objects
- stdiagn: Summary plots for clustering analysis
- stkhat: Space-time K-functions
- stmctest: Monte-Carlo test of space-time clustering
- stsecal: Standard error for space-time clustering
- stvmat: Variance matrix for space-time clustering
- thin: Randomly thin a point data set
- tor.shift: Toroidal shift on a point data set
- tribble: Diggle-Rowlingson Raised Incidence Model
- triblik: Log-likelihood for the Diggle-Rowlingson raised incidence...
- uganda: Craters in Uganda
- zoom: Interactively specify a region of a plot for expansion