samplePPMix: Take Observations from Points and Polygons within the latent...

In nmmarquez/PointPolygon: Evaluate Point and Polygon Data Simulatneously

Description

Takes binomial trials from a probability field created by simField randomly from the field where each observation takes place at the point level and then p replaced with representative polygon data.

Usage

samplePPMix(field, N, M, times = NULL, p = 0.5, polygonList = NULL,
  rWidth = NULL, replace = TRUE, ...)

Arguments

field	field object which simulated underlying data
N	int, Number of points sampled for each polygon
M	int, Number of trials for each point
times	vector of int, times to sample from
p	numeric >0 & <=1, percentage of polygons sampled
polygonList	list, list of polygons to sample from
rWidth	integer, instead of using a polygon list divide the original bounding box into approximately equal sized squares with rWidth number squares along the x axis.
replace	logical, replace values in the sampling
...	further argumnets for compatibility

Value

list of data.frames with observation number, number of trials, and the id of the pixel that the trail took place in.

Examples

require(sp)

set.seed(123)
unitSim <- simField(
    N = 300, 
    offset = c(0.1, 0.2), 
    max.edge = c(0.05,0.2),
    beta0 = -2,
    betaList = list(
        list(type="random", value=2),
        list(type="spatial", value=-.5),
        list(type="cluster", value=-2)
    ))

mixSample <- samplePPMix(unitSim, 30, 150, p=.5, rWidth=3)
head(mixSample$pointDF)
head(mixSample$polyDF)

nmmarquez/PointPolygon documentation built on Dec. 10, 2020, 1:15 a.m.