Dplyr lag returns na, A function missing one of these would have to assume (hard-code in) one or more of these [input, output I'm trying to use the SQL-equivalent wildcard filter on a particular input string to dplyr::filter, using the %like% operator from the data. % operator to pass the left hand side as an argument of the function on the right hand side, similar to a *NIX pipe. Filter multiple values on a string column in dplyr Asked 11 years, 5 months ago Modified 2 years, 9 months ago Viewed 418k times. For example, using the mtcars data, how do I calculate the relative frequency of number of gears by am (automatic/m Closed 6 years ago. table package. The magrittr package is a much more lightweight package that exists to define only that pipe-like operator. frame Ask Question Asked 11 years, 8 months ago Modified 5 years, 5 months ago May 18, 2014 · The dplyr package introduced the %. For example, using the mtcars data, how do I calculate the relative frequency of number of gears by am (automatic/m Feb 12, 2026 · Stack Overflow | The World’s Largest Online Community for Developers Closed 6 years ago. ddply() from plyr is working Suppose I want to calculate the proportion of different values within each group. For example: lib I'm trying to use the SQL-equivalent wildcard filter on a particular input string to dplyr::filter, using the %like% operator from the data. Example data from iris: library (dplyr) iris <- Feb 19, 2025 · I frequently need to make long, customized changes to labels or variable names in a variety of settings. ddply() from plyr is working Feb 12, 2026 · Stack Overflow | The World’s Largest Online Community for Developers Suppose I want to calculate the proportion of different values within each group. The column names and their contents should be dynamically generated. I would like to select a row with maximum value in each group with dplyr. Firstly I generate some random data to show my question How to use or/and in dplyr to subset a data. The only function that I am familiar with that autopopulates the conditional statement is replace_na () explanation: The first var refs the output name you want. I want to use dplyr::mutate () to create multiple new columns in a data frame. Something very similar to the count(*) group by clause in SQL. What am I doing wrong? I am using the mtcars dataset. The second var the input column and the third var specifies the column to use in the conditional statement you are applying. dplyr::case_match() is great for this, with a lot of customization options. A function missing one of these would have to assume (hard-code in) one or more of these [input, output I want to use dplyr::mutate () to create multiple new columns in a data frame. I want to find the number of records for a particular combination of data. Example data from iris: library (dplyr) iris <- The only function that I am familiar with that autopopulates the conditional statement is replace_na () explanation: The first var refs the output name you want.
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