Tools to calculate stability indices with parametric,
 non-parametric and probabilistic approaches. The basic data format requirement for 'toolStability' is a data frame with 3 columns including numeric trait values, genotype,and environmental labels. Output format of each function is the dataframe with chosen stability index for each genotype. 
 Function "table_stability" offers the summary table of all stability indices in this package. 
 This R package toolStability is part of the main publication: 
 Wang, Casadebaig and Chen (2023) <doi:10.1007/s00122-023-04264-7>. 
 Analysis pipeline for main publication can be found on github: <https://github.com/Illustratien/Wang_2023_TAAG>. 
 Sample dataset in this package is derived from another publication:  
 Casadebaig P, Zheng B, Chapman S et al. (2016) <doi:10.1371/journal.pone.0146385>. 
 For detailed documentation of dataset, please see on Zenodo <doi:10.5281/zenodo.4729636>. 
 Indices used in this package are from: 
 Döring TF, Reckling M (2018) <doi:10.1016/j.eja.2018.06.007>. 
 Eberhart SA, Russell WA (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>. 
 Eskridge KM (1990) <doi:10.2135/cropsci1990.0011183X003000020025x>. 
 Finlay KW, Wilkinson GN (1963) <doi:10.1071/AR9630742>. 
 Hanson WD (1970) Genotypic stability. <doi:10.1007/BF00285245>. 
 Lin CS, Binns MR (1988). 
 Nassar R, Hühn M (1987). 
 Pinthus MJ (1973) <doi:10.1007/BF00021563>. 
 Römer T (1917). 
 Shukla GK (1972). 
 Wricke G (1962).

An R wrapper for using 'TooManyCells', a command line program for clustering, visualizing, and quantifying cell clade relationships. See <https://gregoryschwartz.github.io/too-many-cells/> for more details.

Language specific cardinal to ordinal number conversion.

Two- and three-dimensional morphometric maps of enamel and 
	dentine thickness and multivariate analysis. 
	Volume calculation of dental materials. 
	Principal component analysis of thickness maps with 
	associated morphometric map variations.

Several datasets which describe the chef contestants in Top Chef, 
    the challenges that they compete in, and the results of those challenges. 
    This data is useful for practicing data wrangling, graphing, and analyzing 
    how each season of Top Chef played out.