iplotCurves: Plot of a bunch of curves, linked to points in scatterplots

In qtlcharts: Interactive Graphics for QTL Experiments

Description

Creates an interactive graph with a panel having a number of curves (say, a phenotype measured over time) linked to one or two (or no) scatter plots (say, of the first vs middle and middle vs last times).

Usage

iplotCurves(
  curveMatrix,
  times = NULL,
  scatter1 = NULL,
  scatter2 = NULL,
  group = NULL,
  chartOpts = NULL,
  digits = 5
)

Arguments

curveMatrix	Matrix (dim n_ind x n_times) with outcomes
times	Vector (length n_times) with time points for the columns of curveMatrix
scatter1	Matrix (dim n_ind x 2) with data for the first scatterplot
scatter2	Matrix (dim n_ind x 2) with data for the second scatterplot
group	Optional vector of groups of individuals (e.g., a genotype)
chartOpts	A list of options for configuring the chart (see the coffeescript code). Each element must be named using the corresponding option.
digits	Round data to this number of significant digits before passing to the chart function. (Use NULL to not round.)

Value

An object of class 'htmlwidget' that will intelligently print itself into HTML in a variety of contexts including the R console, within R Markdown documents, and within Shiny output bindings.

See Also

[iplotCorr()], [iplot()], [scat2scat()]

Examples

# random growth curves, based on some data
times <- 1:16
n <- 100
start <- rnorm(n, 5.2, 0.8)
slope1to5 <- rnorm(n, 2.6, 0.5)
slope5to16 <- rnorm(n, 0.24 + 0.09*slope1to5, 0.195)
y <- matrix(ncol=16, nrow=n)
y[,1] <- start
for(j in 2:5)
    y[,j] <- y[,j-1] + slope1to5
for(j in 6:16)
    y[,j] <- y[,j-1] + slope5to16
y <- y + rnorm(prod(dim(y)), 0, 0.35)


iplotCurves(y, times, y[,c(1,5)], y[,c(5,16)],
            chartOpts=list(curves_xlab="Time", curves_ylab="Size",
                           scat1_xlab="Size at T=1", scat1_ylab="Size at T=5",
                           scat2_xlab="Size at T=5", scat2_ylab="Size at T=16"))

qtlcharts documentation built on Jan. 8, 2022, 1:06 a.m.