How to create a table that makes individual entries for grouped values in R

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How to create a table that makes individual entries for grouped values in R



Let us say I have a data frame as follows:


data <- data.frame("Company" = c("X", "Y"),
"Chocolate" = c(1, 2),
"Vanilla" = c(2 ,1))
data

Company Chocolate Vanilla
1 X 1 2
2 Y 2 1



How do I reshape this data.frame into the format below:


Company Type
X "Chocolate"
X "Vanilla"
X "Vanilla"
Y "Chocolate"
Y "Chocolate"
Y "Vanilla"



I am attempting to make an empty data frame then somehow using a "for" loop, but I struggle to understand how to make it work




1 Answer
1



If you are open to using some packages, you can


library(dplyr)
library(tidyr)
library(splitstackshape)

data %>%
gather(Type, freq, -Company) %>% # Change the structure to have the types in a column for type
expandRows("freq") %>% # Repeat each row how many times indicated
arrange(Company) # Sort by company

Company Type
1 X Chocolate
2 X Vanilla
3 X Vanilla
4 Y Chocolate
5 Y Chocolate
6 Y Vanilla





And to sort by Company result[order(result$Company), ]
– RobJan
Aug 8 at 18:29


result[order(result$Company), ]





Thanks for this. Is there any way to do it in Base R?
– bbbrrr
Aug 8 at 18:42





There probably are ways to do this in base R, but I am not sure exactly how to do all the steps. You can repeat the rows using the answers from stackoverflow.com/questions/2894775/… some of which are in base R. You can sort it as @RobJan suggested in base R.
– Kerry Jackson
Aug 8 at 18:46






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