I have the following dataset in R

I have a pseudo table like this.

I have a dataframe

My goal is to create a binary variable (k) that turns 1 if in any column between mpg and wt the values 3.90 and/or 160.0 appears.

This seemed really simple to me at first, but is unexpectedly giving me trouble. Let’s say my dataset looked like this:

In book R for Data Science, there is opreator %$% ,the example code as below. But when I run , error message poped –“there is no such operator” .Anyone can help on this ? Thanks!

I’m trying to rename a bunch of files in r with library(“tidyverse”).

library(tidyverse) df <- data.frame(continent = c(“europe”, “africa”), region = c(“north”, “west”, “south”), number = 1:18) I am trying to convert from a long to a wide format but the following syntaxis didn’t work. df_long <- df |> pivot_wider(names_from = region, values_from = number) r tidyverse

I have R dataframe which has one column delivery_by_region which is a JSON string which when parsed returns a multiple row dataframe. I want to create a new dataframe which has all the rows from parsed dataframe of each row and also keep some of the orignal columns like spend and impressions. Here’s my code:

I have searched for an answer over the past two days and can’t figure this out. I have tidyverse loaded but can use any solution.