matlab, aspace, jpeg, dplyr, scales, utils

Plot Jacobson-Truax Reliable Change Indices
person("Maximilian", "Hagspiel", role = c("aut", "cre","cph"), email = "maxhag@mailbox.org")
The concept of reliable and clinically significant change
(Jacobson & Truax, 1991) helps you answer the following questions for a
sample with two measurements at different points in time (pre & post):
Which proportion of my sample has a (considering the reliability of the
instrument) probably not-just-by-chance difference in pre- vs. post-scores?
Which proportion of my sample does not only change in a statistically
significant way (see question one), but also in a clinically significant way
(e.g. change from a test score regarded "dysfunctional" to a score regarded
"functional")?
This package allows you to very easily create a scatterplot of your sample
in which the x-axis maps to the pre-scores, the y-axis maps to the
post-scores and several graphical elements (lines, colors) allow you to gain
a quick overview about reliable changes in these scores.
An example of this kind of plot is Figure 2 of Jacobson & Truax (1991).
Referenced article:
Jacobson, N. S., & Truax, P. (1991) <doi:10.1037/0022-006X.59.1.12>.

c(person("Jonas", "Geschke", role = c("aut"), email = "jonas.e.geschke@gmail.com", comment = c(ORCID = "0000-0002-5654-9313")),
person("Kevin", "Cazelles", role = c("aut", "cre"), email = "kevin.cazelles@gmail.com", comment = c(ORCID = "0000-0001-6619-9874")),
person("Ignasi", "Bartomeus", role = c("aut"), comment = c(ORCID = "0000-0001-7893-4389")),
person("Jonathan", "Goldenberg", role = c("ctb")),
person("Marie-Bé", "Leduc", role = c("ctb")),
person("Yasmine", "Verzelen", role = c("ctb")))
A programmatic interface to the Species+ <https://speciesplus.net/> database via the Species+/CITES Checklist API <https://api.speciesplus.net/>.
Jonas Geschke [aut] (<https://orcid.org/0000-0002-5654-9313>),
Kevin Cazelles [aut, cre] (<https://orcid.org/0000-0001-6619-9874>),
Ignasi Bartomeus [aut] (<https://orcid.org/0000-0001-7893-4389>),
Jonathan Goldenberg [ctb],
Marie-Bé Leduc [ctb],
Yasmine Verzelen [ctb]