Showing 4 of total 4 results (show query)
thibautjombart
adegenet:Exploratory Analysis of Genetic and Genomic Data
Toolset for the exploration of genetic and genomic data. Adegenet provides formal (S4) classes for storing and handling various genetic data, including genetic markers with varying ploidy and hierarchical population structure ('genind' class), alleles counts by populations ('genpop'), and genome-wide SNP data ('genlight'). It also implements original multivariate methods (DAPC, sPCA), graphics, statistical tests, simulation tools, distance and similarity measures, and several spatial methods. A range of both empirical and simulated datasets is also provided to illustrate various methods.
Maintained by Zhian N. Kamvar. Last updated 2 months ago.
182 stars 12.60 score 1.9k scripts 29 dependents
oobianom
quickcode:Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Maintained by Obinna Obianom. Last updated 27 days ago.
5 stars 7.76 score 7 scripts 6 dependents
adamlilith
omnibus:Helper Tools for Managing Data, Dates, Missing Values, and Text
An assortment of helper functions for managing data (e.g., rotating values in matrices by a user-defined angle, switching from row- to column-indexing), dates (e.g., intuiting year from messy date strings), handling missing values (e.g., removing elements/rows across multiple vectors or matrices if any have an NA), text (e.g., flushing reports to the console in real-time); and combining data frames with different schema (copying, filling, or concatenating columns or applying functions before combining).
Maintained by Adam B. Smith. Last updated 6 months ago.
count-decimalsleap-yearmerge-listsmissing-valuesrotate-matrixsampling
4 stars 5.83 score 54 scripts 3 dependents
stuartwagenius
mateable:Assess Mating Potential in Space and Time
Simulate, manage, visualize, and analyze spatially and temporally explicit datasets of mating potential. Implements methods to calculate synchrony, proximity, and compatibility.Synchrony calculations are based on methods described in Augspurger (1983) <doi:10.2307/2387650>, Kempenaers (1993) <doi:10.2307/3676415>, Ison et al. (2014) <doi:10.3732/ajb.1300065>, and variations on these, as described.
Maintained by Stuart Wagenius. Last updated 2 years ago.
4.36 score 23 scripts