How to spread data based on two ID's and fill new columns with response from corresponding column

Question

This is my dataset

ID <- c(1,1,2,2,3,3)
ID_2<-c("A","A","B","B","C","C")
Type<-c("EM","PA","EM","PA","EM","PA")
INT <- c("R", "I", "S", "S", "R", "R")
ORG <- c("EC", "EC", "KP", "KP", "MM", "MM")

Data_sum<- data.frame(ID, ID_2, Type, INT, ORG)
Data_sum

I would like to data to look like this. So the rows are condensed based on "ID" and "ID_2" and spreading the column "Type" into individual columns and filling the responses with the information from "INT"

ID         ID_2      EM      PA       ORG  
1          A         R       I        EC
2          B         S       S        KP
3          C         R       R        MM

Answer 1

here is a data.table approach

library(data.table)
dcast(setDT(Data_sum), ID + ID_2 + ORG ~ Type, value.var = "INT")

#    ID ID_2 ORG EM PA
# 1:  1    A  EC  R  I
# 2:  2    B  KP  S  S
# 3:  3    C  MM  R  R

Answer 2

Here is a tidyverse solution.

library(tidyr)

pivot_wider(
  Data_sum,
  id_cols = c(ID, ID_2, ORG),
  names_from = Type,
  values_from = INT
)
## A tibble: 3 x 5
#     ID ID_2  ORG   EM    PA   
#  <dbl> <chr> <chr> <chr> <chr>
#1     1 A     EC    R     I    
#2     2 B     KP    S     S    
#3     3 C     MM    R     R