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accessrmd, AFheritability, afmToolkit, alakazam, alookr, AmpliconDuo, Anaconda, Anaquin, AneuFinder, apisensr, applicable, ausplotsR, bacon, BasketballAnalyzeR, bayesDP, bayesnec, bbnet, bde, bhm, biclustermd, bmscstan, bootnet, bpcp, braidReports, bunching, CalibrationCurves, caret, CellNOptR, ceterisParibus, cfda, changepoint.geo, changeS, CHETAH, ChIPQC, circhelp, cjoint, ClassificationEnsemble
Welcome to the Cookbook for R. The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data. Most of the code in these pages can be copied and pasted into the R command window if you want to see them in action. Basics Numbers Strings Formulas Data input and output Manipulating data Statistical analysis Graphs Scripts and functions Tools for experiments My book ab
There are now a few elegant ways to generate a Gantt chart in R. Using Candela library(candela) data <- list( list(name='Do this', level=1, start=0, end=5), list(name='This part 1', level=2, start=0, end=3), list(name='This part 2', level=2, start=3, end=5), list(name='Then that', level=1, start=5, end=15), list(name='That part 1', level=2, start=5, end=10), list(name='That part 2', level=2, start
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