logmult (version 0.7.4)

plot.unidiff: Plot Layer Coefficients From a UNIDIFF Model

Description

Plots the layer coefficient estimates from a UNIDIFF model, together with confidence bars based on quasi-standard errors or “traditional” standard errors.

Usage

# S3 method for unidiff
plot(x, what = c("layer.coef", "phi", "maor"),
     se.type = c("quasi.se", "se"),
     conf.int = 0.95, numeric.auto = TRUE, type = "p",
     xlab = names(dimnames(x$data))[3], ylab = NULL,
     add = FALSE, ylim, ...)

Arguments

x

an object resulting from a call to unidiff

what

“layer.coefficient” to plot the layer coefficients in the log odds ratio scale, with a reference of 1 for the first layer; “phi” to plot the intrinsic association coefficient (on the log odds ratio scale); “maor” to plot the mean absolute odds ratio (see maor).

se.type

whether to use quasi-standard errors or “traditional” standard errors to compute confidence intervals.

conf.int

the confidence level to retain for confidence bars.

numeric.auto

whether layer names should be converted to numeric values when possible (see “Details” below).

type

what type of plot should be drawn: see plot. Set to “o” or “b” join points with lines.

xlab

a title for the x axis: see see title.

ylab

a title for the y axis: see see title; if NULL, an appropriate default is used.

add

whether to create a new plot using plot, or draw over the existing plot by calling points and segments directly.

ylim

the y limits of the plot.

...

Further arguments passed to plot.

Details

If numeric.auto = TRUE and layer names (issued from the dimnames of the third dimension of the original table) can be converted to numeric (i.e. they consist of figures), the position of points on the x axis will be determined by the value of the name. This makes most sense when layers represent years, especially when they are not regularly spaced. If this behaviour is disabled, layers will be placed regularly on the x axis, disregarding their possible interpretation as numeric values.

See Also

unidiff, summary.unidiff

Examples

# NOT RUN {
  # See ?unidiff
# }