Packed bar charts are a variation of treemaps for visualizing skewed data.  The concept was introduced by Xan Gregg at 'JMP'.

Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2025) <doi:10.1007/978-3-031-89669-9>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

'PADRINO' houses textual representations of
    Integral Projection Models which can be converted from their 
    table format into full kernels to reproduce or extend an 
    already published analysis. 'Rpadrino' is an R interface to this database. For
    more information on Integral Projection Models, see Easterling et al. (2000) 
  <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) 
  <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>,
  and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. See Levin et al. (2021)
  for more information on 'ipmr', the engine that powers model reconstruction
  <doi:10.1111/2041-210X.13683>.

A part of precision agriculture is linked to the spectral image obtained from the cameras. With the image information of the agricultural experiment, the included functions facilitate the collection of spectral data associated with the experimental units. Some designs generated in R are linked to the images, which allows the use of the information of each pixel of the image in the experimental unit and the treatment. Tables and images are generated for the analysis of the precision agriculture experiment during the entire vegetative period of the crop.

'PaleoClim' <http://www.paleoclim.org> (Brown et al. 2019, 
  <doi:10.1038/sdata.2018.254>) is a set of free, high resolution paleoclimate 
  surfaces covering the whole globe. It includes data on surface temperature,
  precipitation and the standard bioclimatic variables commonly used in 
  ecological modelling, derived from the 'HadCM3' general circulation model and 
  downscaled to a spatial resolution of up to 2.5 minutes. Simulations are
  available for key time periods from the Late Holocene to mid-Pliocene. Data on
  current and Last Glacial Maximum climate is derived from 'CHELSA'  (Karger et 
  al. 2017, <doi:10.1038/sdata.2017.122>) and reprocessed by 'PaleoClim' to 
  match their format; it is available at up to 30 seconds resolution. This 
  package provides a simple interface for downloading 'PaleoClim' data in R, 
  with support for caching and filtering retrieved data by period, resolution,
  and geographic extent.