RSamplePlots: Random sample elements in a cartesian arena

In vitorpaciello/Rsampleplot: Sample plots from a cartesian space and return descriptive statistics

Description

Draw a sample from data with elements in a cartesian coordinate system

Usage

RSamplePlots(plotdata, nsamples, dimx = NULL, dimy = NULL, xname = "gx",
  yname = "gy", shape = c("rectangle", "circle"), size = c(5, 5),
  distance = 0, showplots = FALSE, maxiter = 10^5)

Arguments

plotdata	a data frame with a forest plot census data.
nsamples	numeric value. The number of sample units.
dimx	numeric vector with two positions minimum and maximum value of the x coordinate.
dimy	numeric vector with two positions minimum maximum value of the y coordinate.
xname	character string with the name of the x coordinate variable.
yname	character string with the name of the y coordinate variable.
shape	a character string. Two shapes are possible: "rectangle" and "circle"
size	numeric vector. For ”rectangle” the dimension of x and y sidesand for ”circle” the radius size.
distance	numeric value. The minimum distance among plots
showplots	Boolean. True if plot should be plotted in a graph.
maxiter	numeric value. indicating the maximum number of trails to sample units without overlaping.

Value

a data frame with the same columns as plotdata plus a 'sample' representing the sample unit number that the element are in.

Details

Draw sample from elements in a cartesian coordinate system and return the subset of data in the sample.

Examples

## Not run: 
data(bci7)
plotData <- RSamplePlots(bci7, nsamples = 100, shape = "circle", size = 10)

## End(Not run)

vitorpaciello/Rsampleplot documentation built on May 15, 2019, 3:21 p.m.