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T-tests and Confidence Intervals 51
Figure 43.26: Output of the CONF program.
ManyConfPlot (data(,), names$(), ci, col$)
Plot stacked “confidence interval” plots of the datasets data(,). These confidence intervals
are based on T-tests. Each column of the data(,) is taken as an independent
dataset, and gets its own confidence interval plot. The plot is scaled so all data points
are within the graph coordinates.
Your confidence interval ci should be a number such as .95 for a 95% confidence
interval.
Datasets need not have the same numbers of elements; just pad the short datasets
with missing values. Each dataset’s name is displayed on the frame beside its box plot.
Pass the names in the names$() array. Size(names$) must equal Size(data,1).
The color scheme col$ has the usual meaning; thus, “red green blue” gives a red title,
green frame, and blue box plot. If you give multiple data colors, the intervals are drawn
with that sequence of colors.
By default, the actual data values are not displayed. Call SetDataStyle(ps) with ps ≠ 0
to display data points. The first dataset is drawn with point style ps, the next with
ps+1, and so forth. When the end of the point styles are reached, the styles will cycle
back to style 2 (skipping style 1 because it’s hard to see). Intervals and points are
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