magrittr

There must be an R-ly way to call wilcox.test over multiple observations in parallel using group_by. I've spent a good deal of time reading up on this but still can't figure out a call to wilcox.test that does the job. Example data and code below, using magrittr pipes and summarize() . library(dplyr) library(magrittr) # create a data frame where x is the dependent variable, id1 is a category variable (here with five levels), and id2 is a binary category variable used for the two-sample wilcoxon test df <- data.frame(x=abs(rnorm(50)),id1=rep(1:5,10), id2=rep(1:2,25)) # make sure piping and

Is it possible to set all column names to upper or lower within a dplyr or magrittr chain? In the example below I load the data and then, using a magrittr pipe, chain it through to my dplyr mutations. In the 4th line I use the tolower function , but this is for a different purpose: to create a new variable with lowercase observations. mydata <- read.csv('myfile.csv') %>% mutate(Year = mdy_hms(DATE), Reference = (REFNUM), Event = tolower(EVENT) I'm obviously looking for something like colnames = tolower but know this doesn't work/exist. I note the dplyr rename function but this isn't really

I'm new to R, and I just discovered I suffer from Bracket Phobia (see comment in the link). I like the way magrittr notation %>% works, because it avoids nested parenthesis in some situations, and makes code more readable. I came from Mathematica , where there is a very similar native // notation to do what %>% does. Here are some R and Mathematica comparisons: #R Notation c(1.5,-2.3,3.4) %>% round %>% abs %>% sum #Mathematica Notation {1.5,-2.3,3.4}//Round//Abs//Total So far so good, but, my question is: Is there some way to mimic Mathematica @ notation , with right-to-left associativity in R

Can someone explain why table() doesn't work inside a chain of dplyr-magrittr piped operations? Here's a simple reprex: tibble( type = c("Fast", "Slow", "Fast", "Fast", "Slow"), colour = c("Blue", "Blue", "Red", "Red", "Red") ) %>% table(.$type, .$colour) Error in sort.list(y) : 'x' must be atomic for 'sort.list' Have you called 'sort' on a list? But this works of course: df <- tibble( type = c("Fast", "Slow", "Fast", "Fast", "Slow"), colour = c("Blue", "Blue", "Red", "Red", "Red") ) table(df$type, df$colour) Blue Red Fast 1 2 Slow 1 1 This behavior is by design: https://github.com/tidyverse

How can one pipe a data frame to a function whose argument pipes a dot? mpg %>% rbind(., . %>% rev()) Error in rep(xi, length.out = nvar) : attempt to replicate an object of type 'closure' Another example: mpg %>% { . %>% arrange(manufacturer) } Functional sequence with the following components: arrange(., manufacturer) Use 'functions' to extract the individual functions. Wrap the dot to be piped in parentheses like (.) : mpg %>% rbind(., (.) %>% rev()) Or, for lambda function: mpg %>% { (.) %>% arrange(manufacturer) } 来源： https://stackoverflow.com/questions/37757191/pipe-a-data-frame-to-a