| Name : R-catseyes
| |
| Version : 0.2.5
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:05:38
|
| Group : Development/Libraries/Other
| Source RPM : R-catseyes-0.2.5-lp153.2.13.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : Create Catseye Plots Illustrating the Normal Distribution of the Means
|
Description :
Provides the tools to produce catseye plots, principally by
catseyesplot() function which calls R\'s standard plot() function
internally, or alternatively by the catseyes() function to overlay the
catseye plot onto an existing R plot window. Catseye plots illustrate
the normal distribution of the mean (picture a normal bell curve
reflected over its base and rotated 90 degrees), with a shaded
confidence interval; they are an intuitive way of illustrating and
comparing normally distributed estimates, and are arguably a superior
alternative to standard confidence intervals, since they show the full
distribution rather than fixed quantile bounds. The catseyesplot and
catseyes functions require pre-calculated means and standard errors (or
standard deviations), provided as numeric vectors; this allows the
flexibility of obtaining this information from a variety of sources,
such as direct calculation or prediction from a model. Catseye plots,
as illustrations of the normal distribution of the means, are described
in Cumming (2013 & 2014). Cumming, G. (2013). The new statistics: Why
and how. Psychological Science, 27, 7-29.
< doi:10.1177/0956797613504966> pmid:24220629.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
