WebIn R, NA represents all types of missing data. We saw a small example of this in x1 and x2. x1 is a “numeric” object and x2 is a “character” object. Non-NA values cannot be interpreted as missing: Other packages allow you to designate values as “system missing” so that these values will be interpreted in the analysis as missing. WebJan 11, 2015 · Introducing req. The req (...) function was introduced in Shiny 0.13 to simplify dealing with missing inputs and other preconditions. req is short for “require”, so req (x) can be read as either “require x to be …
Formula to Check if a Cell Contains #N/A - Finance Train
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How does R handle missing values? R FAQ - University of …
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