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    Related websites

    How to change the now deprecated dplyr::funs () which includes …

    WEBNote the difference between the .funs argument of mutate_if and the funs() function which wrapped other functions to pass to .funs; i.e. .funs = gsub still works. You only needed funs() if you needed to apply multiple functions to selected columns or to name them something by passing them as named arguments.

    Stackoverflow.com


    Using functions of multiple columns in a dplyr mutate_at call

    WEBAug 29, 2016 · I'd like to use dplyr's mutate_at function to apply a function to several columns in a dataframe, where the function inputs the column to which it is directly applied as well as another column in the

    Stackoverflow.com


    r - Dplyr/tidyverse: rename_at `.funs` must contain one renaming

    WEBMay 17, 2018 · While the earlier answer by @docendodiscimus is more succinct, for what it's worth, there are two issues with your code:

    Stackoverflow.com


    r - dplyr summarise_each with na.rm - Stack Overflow

    WEBSep 10, 2014 · One can still specify na.rm = TRUE within the funs argument (cf @flodel 's answer: just replace summarise_each with summarise_all). But you can also add na.rm = TRUE after the funs argument. That is useful when you want to call more than only one function, e.g.: edit. the funs() argument is now (soft)deprecated, thanks to comment …

    Stackoverflow.com


    dplyr: Error in `summarise_at ()`: ! `.funs` must be a one sided

    WEBAug 15, 2022 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research!

    Stackoverflow.com


    Confusing .funs argument to mutate_all in dplyr - Stack Overflow

    WEBOct 23, 2019 · I do not understand the .funs argument to mutate_all() in the dplyr package. In all likelihood the problem lies with me but i would like to understand what I am missing. I often have to recode multiple variables, like sets of likert items.

    Stackoverflow.com


    r - How does mutate_all(.funs=~./sum(x)) work? - Stack Overflow

    WEBJun 17, 2020 · 0. mutate_all applies the function in .funs to all values. Each value (.) is divided by the sum (x), to get you the "relative abundance" which is essentially the fraction of the total value, which is the sum (x). You can think of ~ as a "function of". So you are saying each cell in the dataframe is a function of itself divided by the overall

    Stackoverflow.com


    Replacing dplyr::funs () within imap that refers to the .y value

    WEBThere are several posts asking about how to replace the soft deprecated funs(), but none of the solutions worked for me. I have a named list of tibbles and want to use the names to rename several columns in preperation for joining …

    Stackoverflow.com


    r - How to debug "contrasts can be applied only to factors with 2 …

    WEB@李哲源ZheyuanLi Oh I have been, looked at pretty much every single one I could find! They either say the cause is 'NA' values or a Factor variable with only 1 level.

    Stackoverflow.com


    r - How to switch from funs to list in dplyr when the column name …

    WEBNow available on Stack Overflow for Teams! AI features where you work: search, IDE, and chat. Learn more Explore Teams

    Stackoverflow.com


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