scalegram_rescale: Rescales variance

In imarkonis/scalegram: A cross-scale visualization tool for model-observation integration.

Description

Rescales variance

Usage

rescale_scalegram(scalegram_coarse, scalegram_fine, scale_ratio, stat)

Arguments

scalegram_coarse	A vector, time series or a matrix.
scalegram_fine	the statistic used.
scale_ratio	the ratio between coarser and finer scale.
stat	the statistic used.

Value

A list with the scalegram of x for statistic MODE and the corresponding plot [ggplot object].

Examples

site_a = owda[owda$Lat == 46.25 & owda$Lon == 16.5,]$scPDSI
site_b = owda[owda$Lat == 46.25 & owda$Lon == 16.5 & owda$Time %in% seq(992, 2012, 2) ,]$scPDSI
sg_a = scalegram(site_a)
sg_b = scalegram(site_b)
sg_a$scalegram_plot +
geom_line(data=sg_b$scalegram_df, col = "red") +
geom_point(data=sg_b$scalegram_df, col = "red")

 \item{"mean" for mean,}
 \item{"cv" for coefficient of variance,}

imarkonis/scalegram documentation built on May 27, 2019, 7:44 a.m.