Spine plots are a special cases of mosaic plots, and can be seen as a generalization of stacked (or highlighted) bar plots. Analogously, spinograms are an extension of histograms.
spineplot(x, ...) ## S3 method for class 'default': spineplot((x, y = NULL, breaks = NULL, tol.ylab = 0.05, off = NULL, ylevels = NULL, col = NULL, main = "", xlab = NULL, ylab = NULL, xaxlabels = NULL, yaxlabels = NULL, xlim = NULL, ylim = c(0, 1), axes = TRUE, ...)) ## S3 method for class 'formula': spineplot((formula, data = NULL, breaks = NULL, tol.ylab = 0.05, off = NULL, ylevels = NULL, col = NULL, main = "", xlab = NULL, ylab = NULL, xaxlabels = NULL, yaxlabels = NULL, xlim = NULL, ylim = c(0, 1), axes = TRUE, ..., subset = NULL))
- an object, the default method expects either a single variable (interpreted to be the explanatory variable) or a 2-way table. See details.
"factor"interpreted to be the dependent variable
y ~ xwith a single dependent
"factor"and a single explanatory variable.
- an optional data frame.
- if the explanatory variable is numeric, this controls how it is discretized.
breaksis passed to
histand can be a list of arguments.
- convenience tolerance parameter for y-axis annotation. If the distance between two labels drops under this threshold, they are plotted equidistantly.
- vertical offset between the bars (in per cent). It is fixed to
2for spine plots.
- a character or numeric vector specifying in which order the levels of the dependent variable should be plotted.
- a vector of fill colors of the same length as
levels(y). The default is to call
- main, xlab, ylab
- character strings for annotation
- xaxlabels, yaxlabels
- character vectors for annotation of x and y axis. Default to
levels(x), respectively for the spine plot. For
xaxlabelsin the spinogram, the breaks are used.
- xlim, ylim
- the range of x and y values with sensible defaults.
- logical. If
FALSEall axes (including those giving level names) are suppressed.
- additional arguments passed to
- an optional vector specifying a subset of observations to be used for plotting.
spineplot creates either a spinogram or a spine plot. It can be called via
spineplot(x, y) or
spineplot(y ~ x) where
y is interpreted to be the dependent variable (and has to be categorical) and
x the explanatory variable.
x can be either categorical (then a spine plot is created) or numerical (then a spinogram is plotted). Additionally,
spineplot can also be called with only a single argument which then has to be a 2-way table, interpreted to correspond to
table(x, y). Both, spine plots and spinograms, are essentially mosaic plots with special formatting of spacing and shading. Conceptually, they plot P(y | x) against P(x). For the spine plot (where both x and y are categorical), both quantities are approximated by the corresponding empirical relative frequencies. For the spinogram (where x is numerical), x is first discretized (by calling
breaks argument) and then empirical relative frequencies are taken. Thus, spine plots can also be seen as a generalization of stacked bar plots where not the heights but the widths of the bars corresponds to the relative frequencies of
x. The heights of the bars then correspond to the conditional relative frequencies of
y in every
x group. Analogously, spinograms extend stacked histograms.
The table visualized is returned invisibly.
Friendly, M. (1994), Mosaic displays for multi-way contingency tables. Journal of the American Statistical Association, 89, 190--200.
Hartigan, J.A., and Kleiner, B. (1984), A mosaic of television ratings. The American Statistician, 38, 32--35.
Hofmann, H., Theus, M. (2005), Interactive graphics for visualizing conditional distributions, Unpublished Manuscript.
Hummel, J. (1996), Linked bar charts: Analysing categorical data graphically. Computational Statistics, 11, 23--33.
## treatment and improvement of patients with rheumatoid arthritis treatment <- factor(rep(c(1, 2), c(43, 41)), levels = c(1, 2), labels = c("placebo", "treated")) improved <- factor(rep(c(1, 2, 3, 1, 2, 3), c(29, 7, 7, 13, 7, 21)), levels = c(1, 2, 3), labels = c("none", "some", "marked")) ## (dependence on a categorical variable) (spineplot(improved ~ treatment)) ## applications and admissions by department at UC Berkeley ## (two-way tables) (spineplot(margin.table(UCBAdmissions, c(3, 2)), main = "Applications at UCB")) (spineplot(margin.table(UCBAdmissions, c(3, 1)), main = "Admissions at UCB")) ## NASA space shuttle o-ring failures fail <- factor(c(2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1), levels = c(1, 2), labels = c("no", "yes")) temperature <- c(53, 57, 58, 63, 66, 67, 67, 67, 68, 69, 70, 70, 70, 70, 72, 73, 75, 75, 76, 76, 78, 79, 81) ## (dependence on a numerical variable) (spineplot(fail ~ temperature)) (spineplot(fail ~ temperature, breaks = 3)) (spineplot(fail ~ temperature, breaks = quantile(temperature))) ## highlighting for failures spineplot(fail ~ temperature, ylevels = 2:1)
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