csa.multiplot: Multiple CSA plotting

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

Multiple CSA plotting

Description

Function for plotting multiple CSA curves in a single plot.

Usage

csa.multiplot(df, log_x = TRUE, log_y = TRUE, wn = FALSE, smooth = FALSE)

Arguments

df	A matrix or data.frame composed of three columns; scale for the temporal or spatial scale; value for the estimate of a given statistic (e.g., variance) at the given aggregated scale and variable for defining the corresponding dataset.
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.
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.
smooth	logical. If TRUE (the default) the aggregation curves are smoothed (loess function).

Value

The CSA plot as a ggplot object.

Examples

aa <- rnorm(1000)
csa_aa <- data.frame(csa(aa, plot = FALSE, chk = TRUE), variable = 'wn')
bb <- as.numeric(arima.sim(n = 1000, list(ar = c(0.8897, -0.4858), ma = c(-0.2279, 0.2488))))
csa_bb <- data.frame(csa(bb, plot = FALSE, chk = TRUE), variable = 'arma(2, 2)')
csa.multiplot(rbind(csa_aa, csa_bb), wn = TRUE)
csa.multiplot(rbind(csa_aa, csa_bb), wn = TRUE, smooth = TRUE)

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