VGAM (version 1.1-5)

spikeplot: Spike Plot

Description

Produces a spike plot of a numeric vector.

Usage

spikeplot(x, freq = FALSE, as.table = FALSE,
    col = par("col"), lty = par("lty"), 
    lwd = par("lwd"), lend = par("lend"),
    type = "h", xlab = NULL, ylab = NULL,
    capped = FALSE, cex = sqrt(lwd) / 2, pch = 19, pcol = col,
    scol = NULL, slty = NULL, slwd = NULL, ...)

Arguments

x

Numeric, passed into table.

freq

Logical. If TRUE then the y-axis measures the frequencies, else the sample proportions. Intended to be as hist.

as.table

Logical. If TRUE then the call to plot is closer to plot(table(x), ...), meaning the labelling differs from as.table = FALSE. The default is to convert table(x) into a numeric vector which is then passed into plot so that the labelling is more uniform along the x-axis.

col, type, lty, lwd

See par.

lend, xlab, ylab

See par.

capped, cex, pch, pcol

First argument is logical. If TRUE then the others argument are used to place points at the top using points with pcol being its colour. See par.

scol, slty, slwd

Similar to col, lty and lwd but apply to some selected values. The input may be a named list such as scol = list("green" = c(2, 4, 6), "blue" = 5), slty = list("dashed" = c(2, 4, 6), "dotted" = 5), slwd = list("2" = c(2, 4, 6), "3" = 5), else a named vector such as scol = c("green" = 2, "green" = 4, "green" = 6, "blue" = 5), slty = c("dashed" = 2, "dashed" = 4, "dashed" = 6, "dotted" = 5), slwd = c("2" = 2, "2" = 4, "2" = 6, "3" = 5). The three arguments are ignored if as.table = TRUE.

…

Additional graphical arguments passed into an ordinary plot, for example, xlim, las, main.

Value

Returns invisibly table(x).

Details

Heaping is a very commonly occurring phenomenon in retrospective self-reported survey data. Also known as digit preference data, it is often characterized by an excess of multiples of 10 or 5 upon rounding. For this type of data this simple function is meant to be convenient for plotting the frequencies or sample proportions of a vector x representing a discrete random variable. This type of plot is known as a spike plot in STATA circles. If table(x) works then this function should hopefully work. The default for type means that any heaping and seeping should easily be seen. If such features exist then GAIT regression is potentially useful---see gaitpoisson etc. Currently missing values are ignored totally because table(x) is used without further arguments; this might change in the future.

See Also

table, plot, par, dgaitplot, gaitpoisson.

Examples

# NOT RUN {
spikeplot(with(marital.nz, age), col = "pink2", lwd = 2)
# }