ggConfidenceCurve
Confidence curves are a way to show the confidence in an estimate computed from sample data. They are useful because they show all confidence levels simultaneously, thereby giving a good sense of the accuracy of the estimate, without forcing the researchers to make a more or less arbitrary choice for one confidence level.
 Keywords
 hplot
Usage
ggConfidenceCurve(metric = "d",
value = NULL,
n = NULL,
conf.level = NULL,
wRange = c(0.05, 0.8),
curveSize = 1,
curveColor = "black",
confRange = c(1e04, 0.9999),
confLines = c(0.5, 0.8, 0.95, 0.99),
confLineColor = "grey",
confLineSize = 1,
xlab = metric,
steps = 1000,
theme = theme_bw())
Arguments
 metric
 The metric, currently only 'd' (Cohen's d) and 'r' (Pearson's r) are implemented.
 value
 The value for which to create the confidence curve plot.
 n

The sample size for which to create the confidence curve plot. If
n
is specified, the y axis shows confidence levels (i.e. a conventional confidence curve is generated). Ifn
is set toNULL
, the y axis shows sample sizes. Eithern
orconf.level
must beNULL
.  conf.level

The confidence level for which to create the confidence curve plot. If
conf.level
is specified, the y axis shows sample sizes. Ifconf.level
is set toNULL
, the y axis shows confidence levels (i.e. a conventional confidence curve is generated). Eithern
orconf.level
must beNULL
.  wRange

The range of 'halfwidths', or margins of error, to plot in the confidence curve plot if no sample size is specified (if
n=NULL
).  curveSize
 The line size of the confidence curve line.
 curveColor
 The color of the confidence curve line.
 confRange
 The range of confidence levels to plot.
 confLines
 If a traditional confidence curve is generated, lines can be added to indicate the metric values corresponding to the lower and upper confidence interval bounds.
 confLineColor

If confidence lines are added (see
confLines
), this is the color in which they are drawn.  confLineSize

If confidence lines are added (see
confLines
), this is the size in which they are drawn.  xlab
 The label on the x axis.
 steps
 The number of steps to use when generating the data for the confidence curves' more steps yield prettier, smoother curves, but take more time.
 theme

The
ggplot
theme to use.
Value
A ggplot2
plot.
References
Bender, R., Berg, G., & Zeeb, H. (2005). Tutorial: Using confidence curves in medical research. Biometrical Journal, 47(2), 237247. http://doi.org/10.1002/bimj.200410104
Birnbaum, A. (1961). Confidence curves: An omnibus technique for estimation and testing statistical hypotheses. Journal of the American Statistical Association, 56(294), 246249. http://doi.org/10.1080/01621459.1961.10482107
See Also
Examples
ggConfidenceCurve(metric='d', value = .5, n = 128);
ggConfidenceCurve(metric='d', value = .5, conf.level = .95);
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