WebSep 22, 2014 · 1 Answer. aggregate is designed to work on multiple columns with one function and returns a dataframe with one row for each category, while tapply is designed to work on a single vector with results returned as a matrix or array. Only using a two-column matrix does not really allow the capacities of either function (or their salient differences ... WebExample 2: Multiple Functions. In Example 2, I’ll illustrate how to apply multiple functions in the dcast () function. DT_3 <- dcast ( DT_1, ID + feature ~ ., fun.aggregate = list ( mean, sum), value.var = "value_1") head ( DT_3) By executing the previous R syntax, we have created Table 3, i.e. we not only calculated the mean value, but also ...
Group by one or more variables — group_by • dplyr - Tidyverse
WebJul 14, 2024 · How to Use the par () Function in R. You can use the par () function in R to create multiple plots at once. This function uses the following basic syntax: #define plot area as four rows and two columns par (mfrow = c (4, 2)) #create plots plot (1:5) plot (1:20) ... The following examples show how to use this function in practice. WebAug 15, 2024 · How to aggregate data in data.frame in R. I have a large data.frame. The data.frame include a lot of values. df <- data.frame (Company = c ('A', 'A', 'B', 'C', 'A', 'B', 'B', 'C', 'C'), Name = c ("Wayne", … tooth exfoliation
AGGREGATE in R with aggregate() function [WITH …
WebSort list in R. In this section you will learn how to sort a list in R. There are three ways for ordering a list in R: sorting the elements in alphabetical order, creating a custom order, or ordering a specific list element. Consider, for instance, the following sample list: my_list <- list(b = 1:10, a = letters[1:5], c = matrix(1:2, ncol = 2 ... WebMar 25, 2024 · With R, you can aggregate the the number of occurence with n(). For instance, the code below computes the number of years played by each player. ... The fonction nth() is complementary to first() and … WebOct 21, 2024 · The aggregate () function in R can be used to calculate summary statistics for a dataset. This function uses the following basic syntax: aggregate (x, by, FUN) … tooth exposed root