reclassifion_matrix: Create reclassification matrix

In Issoufou-Liman/SpatialProbs: Solving Spatial Problems under Uncertainity

Description

Create reclassification matrix based on boxplot statistics and outliers or user defined specifications.

Usage

reclassifion_matrix(x, split_IQR = FALSE, custum_rclmat = NULL,
  sample = FALSE, size = 1000)

Arguments

x	numeric vector, data.frame, or raster object.
split_IQR	logical. Should the inter-quartile range be split at the median to form different ranges? The default is TRUE
custum_rclmat	numeric vector indicating the limits based on which to reclassify x.
sample	Logical. Should the data be sampled? If TRUE, the result is based on a ramdon sampling of the original data.
size	Integer. Sample size (if sample is TRUE or if the data cannot be process in memory).
...	Additional arguments passed to get_boxplot_range_1d.

Value

a matrix (if x is one dimensional) or list of matrix.

Author(s)

Issoufou Liman

Examples

sample <- rnorm(100)
reclassifion_matrix (sample)

Issoufou-Liman/SpatialProbs documentation built on Oct. 30, 2019, 7:27 p.m.