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purrr.tidyverse.org | ||
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testthat.r-lib.org
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| | | | | These functions provide two levels of strictness when comparing a computation to a reference value. expect_identical() is the baseline; expect_equal() relaxes the test to ignore small numeric differences. In the 2nd edition, expect_identical() uses identical() and expect_equal uses all.equal(). In the 3rd edition, both functions use waldo. They differ only in that expect_equal() sets tolerance = testthat_tolerance() so that small floating point differences are ignored; this also implies that (e.g.) 1 and 1L are treated as equal. | |
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dplyr.tidyverse.org
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| | | | | Select (and optionally rename) variables in a data frame, using a concise mini-language that makes it easy to refer to variables based on their name (e.g. a:f selects all columns from a on the left to f on the right) or type (e.g. where(is.numeric) selects all numeric columns). Overview of selection features Tidyverse selections implement a dialect of R where operators make it easy to select variables: : for selecting a range of consecutive variables. ! for taking the complement of a set of variables. & ... | |
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magrittr.tidyverse.org
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| | | | | Pipe an object forward into a function or call expression. | |
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blog.darkwolfsolutions.com
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| | | September 16, 2024 Episode 13 The Evolving Threat Landscape: A Catalyst for Innovation Author: Brian "BP" Panarello Throughout this series, we've embarked on a journey into the evolving realm of cloud security, navigating the complexities of Zero Trust architectures, the critical role of Cloud | ||
