csa.plot: CSA curve plotting

In csa: A Cross-Scale Analysis Tool for Model-Observation Visualization and Integration

CSA curve plotting

Description

Function for plotting single CSA curves.

Usage

csa.plot(x, log_x = TRUE, log_y = TRUE, smooth = FALSE, wn = FALSE)

Arguments

x	A matrix or data.frame composed of two columns; scale for the temporal or spatial scale and value for the estimate of a given statistic (e.g., variance) at the given aggregated scale.
log_x	logical. If TRUE (the default) the x axis of the CSA plot is set to the logarithmic scale.
log_y	logical. If TRUE (the default) the y axis of the CSA plot is set to the logarithmic scale.
smooth	logical. If TRUE (the default) the aggregation curves are smoothed (loess function).
wn	logical. The argument wn (default FALSE) is used to plot a line presenting the standardized variance of the white noise process. Therefore, it should be used only with stat = "var" and std = T in the csa/csas functions.

Value

The CSA plot as a ggplot object.

Examples

## Not run: 
aa <- rnorm(1000)
csa_aa <- csa(aa, chk = TRUE, plot = FALSE)
csa.plot(csa_aa)

## End(Not run)

csa documentation built on Oct. 24, 2023, 5:07 p.m.