r - Summarizing multiple columns with dplyr? - Stack Overflow
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 …
r - dplyr summarise_each with na.rm - Stack Overflow
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 …
Relative frequencies / proportions with dplyr - Stack Overflow
11 For the sake of completeness of this popular question, since version 1.0.0 of dplyr, parameter .groups controls the grouping structure of the summarise function after group_by summarise …
r - Count number of rows by group using dplyr - Stack Overflow
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 …
r - summarizing counts of a factor with dplyr - Stack Overflow
Sep 12, 2014 · I want to group a data frame by a column (owner) and output a new data frame that has counts of each type of a factor at each observation. The real data frame is fairly large, …
r - How to sum a variable by group - Stack Overflow
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
r - Sum across multiple columns with dplyr - Stack Overflow
Mar 5, 2015 · 183 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 …
r - dplyr - summary table for multiple variables - Stack Overflow
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 …
Aggregate / summarize multiple variables per group (e.g. sum, …
A few final notes: By default, summarise() drops the last level of grouping, so all the examples above would still be grouped by year. To drop all grouping, you can add an ungroup() call, or …
Get dplyr count of distinct in a readable way - Stack Overflow
Use filter to filter out any rows where aa has NAs, then group the data by column bb and then summarise by counting the number of unique elements of column aa by group of bb. As you …