qicharts (version 0.5.10)

trc: Trellis run charts for multivariate data

Description

Run charts for multivariate data in trellis (grid) layout.

Usage

trc(
  x,
  chart = c("run", "i"),
  xscale = "same",
  yscale = "same",
  dec = NULL,
  xpad = 0.1,
  pch = 20,
  cex = 0.7,
  gap = 0.5,
  target = NA,
  ...
)

Value

Returns an object of class "trellis".

Arguments

x

Formula object to plot. The formula is of the form y ~ x | g1 + g2 + ..., indicating that plots of y (on the y-axis) versus x (on the x-axis) should be produced conditional on the variables g1, g2.

chart

Type of chart: 'run' or 'i'.

xscale

Scaling of x-axes: 'same' or 'free'.

yscale

Scaling of y-axes: 'same' or 'free'.

dec

Number of decimals of median value. The default behaviour (smart rounding to at least two significant digits) should be satisfactory in most cases.

xpad

Number specifying the fraction by which to extend the x-axis in order to make space for the median label.

pch

Plotting character.

cex

Number indicating the magnification of plotting character.

gap

Number indicating spacing between panels.

target

Value specifying a target line to plot.

...

Further arguments to xyplot.

Details

This function is a wrapper for xyplot from the lattice package. Some usefull arguments from xyplot are main, ylab, xlab, and layout.

See Also

xyplot, qic

Examples

# Trellis run chart on 1 conditioning variable
d1 <- data.frame(y = rnorm(96, 12, 3),
                 expand.grid(x = 1:24,
                             g = LETTERS[1:4]))
trc(y ~ x | g, data = d1, main = 'Trellis run chart')

# Add target line
trc(y ~ x | g, data = d1, main = 'Trellis run chart', target = 20)

# Trellis run chart on 2 conditioning variables
d2 <- data.frame(y = rnorm(144, 12, 3),
                 expand.grid(x = seq.Date(as.Date('2014-1-1'),
                                          by = 'week',
                                          length.out = 24),
                             g1 = LETTERS[1:3],
                             g2 = letters[1:2]))
trc(y ~ x | g1 + g2, data = d2, main = 'Trellis run chart')

# Introduce a shift in process performance
d2$y[132:144] <- d2$y[132:144] * 3
trc(y ~ x | g1 + g2, data = d2, main = 'Trellis run chart')

# Make I chart
trc(y ~ x | g1 + g2, data = d2, main = 'Trellis run chart', chart = 'i')