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The use of summarise really sped up my similar operation. I wasn't doing any grouping, just concatenating the full column, so didn't think of it. Good call. Cut my paste0 down from 5+ minutes to ~3 secs.
Sep 10, 2014 · Is there a way to instruct dplyr to use summarise_each with na.rm=TRUE? I would like to take the mean of variables with summarise_each('mean') but I don't know how to specify it to ignore missing v...
May 3, 2024 · The default behavior of summarise() is to remove the last level of grouping after it is called, so in the top example your data is still grouped by start_station_name and start_lat after it is summarised, so your slice(1:20) call returns 20 rows (or all if less than 20) per the number of start_station_name x start_lat groups. When you use summarise(.groups = 'drop') the data …
Jun 1, 2020 · I started getting a new message (see post title) when running group_by and summarise() after updating to dplyr development version 0.8.99.9003. Here is an example to recreate the output: library(
Jan 4, 2016 · How to create simple summary statistics using dplyr from multiple variables? Using the summarise_each function seems to be the way to go, however, when applying multiple functions to multiple colum...
I'm struggling a bit with the dplyr-syntax. I have a data frame with different variables and one grouping variable. Now I want to calculate the mean for each column within each group, using dplyr i...
I am using the mtcars dataset. I want to find the number of records for a particular combination of data. Something very similar to the count(*) group by clause in SQL. ddply() from plyr is working...
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Here are some more examples of how to summarise data by group using dplyr functions using the built-in dataset mtcars: # several summary columns with arbitrary names
Mar 5, 2015 · My question involves summing up values across multiple columns of a data frame and creating a new column corresponding to this summation using dplyr. The data entries in the columns are binary(0,1)...
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