characterize.emp.dist: Characterize empirical distributions
In JGCRI/fldgen: Generate Temperature Fields with Spatial and Temporal Correlation

Given a vector of residuals in a single grid cell that empirically characterizes the distribution of residuals, return a CDF and quantile function for that grid cell.

1	characterize.emp.dist(inputresids, len = NULL)

`inputresids`	Matrix of the original, input residuals for each grid cell (columns)
`len`	Maximum length of the time series to read. If the data read is longer, it will be trimmed. (Default: read entire time series, regardless of length.)

The output will be a list with two fields:

cdf: List of empirical CDF functions for each grid cell
quant: List of empirical quantile functions for each grid cell.

Conventionally, we refer to the output list as empiricaldistribution. Notably, any other function with a empiricaldistribution argument is expecting one of these structures.

JGCRI/fldgen documentation built on July 18, 2020, 1:42 p.m.