QLines: Plot Quantiles

In einaooka/tea.eo.plots: TEA's plotting functions

Description

Add quantile lines to existing plot. QLines is for long data. QMatLines is for short data.

Usage

QLines(x, ys, qs = c(0.05, 0.95), mean.lwd = 1, mean.col = rainbow.f(1,
  1), q.col = rainbow.f(1, 1))

QMatLines(x, ys, qs = c(0.05, 0.95), mean.lwd = 1, mean.col = rainbow.f(1,
  1), q.col = rainbow.f(1, 1))

Arguments

x	an array of x variable. For QLines, it should be repeating itself, and for QMatLines, non-repeating.
ys	Either an array or matrix of y variable. For QLines, it should be an array, and for QMatLines, a matrix with columns for iterations.
qs	an array of quantiles. Default at c(0.05,0.95).
mean.lwd	An integer for indicating the width of mean. Default at 1.
mean.col	Color for mean. Default at rainbow.f(1,1).
q.col	Color for quantiles. Default at rainbow.f(1,1).

Functions

• QMatLines: for short table

Examples

# Generate a long table
niter <- 100
df <- data.frame("Date"=rep(seq(as.Date("2010-1-1"), by="month", length.out = 12),niter)
, "Iter" = rep(1:niter,each=12), "Y"=rnorm(12*niter))
for (i in 2:nrow(df))if(diff(df$Iter)[i-1]==0) df$Y[i] <- df$Y[i] + df$Y[i-1]

plot(df$Date, df$Y, col=red.f(0.05), pch=19)
QLines(df$Date, df$Y, mean.lwd = 2)

# A short Table
df <- cast(df, Date ~ Iter, value="Y")
QMatLines(df$Date, df[,-1], qs=c(0.25,0.75), q.col=gray.f(0.5))

einaooka/tea.eo.plots documentation built on May 16, 2019, 1:25 a.m.