Nov 25, 2014 · Update 2 R has defined a |> pipe. Unlike magrittr's %>% it can only substitute into the first argument of the right hand side. Although limited, it works via syntax transformation so it has no performance impact. As of R v4.1.0, |>, is included in base-R and being advocated by the Tidyverse in place of %>% for most use cases. See R for Data ...

May 28, 2021 · |>is the base R "pipe" operator. It was new in version 4.1.0. In brief, the pipe operator provides the result of the left hand side (LHS) of the operator as the first argument of the right hand side (RHS).

\r (Carriage Return) → moves the cursor to the beginning of the line without advancing to the next line \n (Line Feed) → moves the cursor down to the next line without returning to the beginning of the line — In a *nix environment \n moves to the beginning of the line. \r\n (End Of Line) → a combination of \r and \n

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@Konrad Rudolph R uses some rules/principles when designing the language and code interpretation for efficiency and usability that not saw in other languages. I believe most people who ask the difference between = and <- is curious about why R has more than one assignment operator compared with other popular Science/math language such as Python.

R doFuture: how to redirect various outputs to files, rather than to the main R session? I have a script with a foreach()-%dofuture% {} loop, see {doFuture}. In the loop, various messages are created by cat() and by packages called within the loop.

Aug 14, 2009 · More importantly, Unix tends to use \n as a line separator; Windows tends to use \r\n as a line separator and Macs (up to OS 9) used to use \r as the line separator. (Mac OS X is Unix-y, so uses \n instead; there may be some compatibility situations where \r is used instead though.) For more information, see the Wikipedia newline article.

Jul 7, 2015 · The above is more or less a quote from section 3.2.1. in the R language definition ...

fixed=TRUE prevents R from using regular expressions, which allow more flexible pattern matching but take time to compute. If all that's needed is removing a single constant string "e", they aren't necessary. –

The reshape comments and similar argument names aren't all that helpful. However, I have found that for long to wide, you need to provide data = your data.frame, idvar = the variable that identifies your groups, v.names = the variables that will become multiple columns in wide format, timevar = the variable containing the values that will be appended to v.names in wide format, direction = wide ...