So i have a data set i am trying to manipulate and i cant seem to find the right way to do this. Iv looked into using dcast and spread but not sure how to get the right manipulation.
so i have something like:
ID var1 var2 var3 category
--------------------------
1 x x x a
1 x x x b
1 x x x b
2 y y y a
2 y y y b
2 y y y c
3 z z z b
3 z z z b
3 z z z c
Id like it to look like this:
ID var1 var2 var3 a b c
--------------------------------
1 x x x 1 1 0
2 y y y 1 1 1
3 z z z 0 1 1
Easy example data
ID <- c(1,1,1,2,2,2,3,3,3)
var1 <- c('x','x','x','y','y','y','z','z','z')
var2 <- c('x','x','x','y','y','y','z','z','z')
var3 <- c('x','x','x','y','y','y','z','z','z')
category <- c('a','b','b','a','b','c','b','b','c')
dat <- data.frame(ID,var1,var2,var3,category)
ID <- c(1,1,1,2,2,2,3,3,3)
var1 <- c("x","x","x","y","y","y","z","z","z")
var2 <- c("x","x","x","y","y","y","z","z","z")
var3 <- c("x","x","x","y","y","y","z","z","z")
category <- c("a","b","b","a","b","c","b","b","c")
dat <- data.frame(ID,var1,var2,var3,category)
library(tidyr)
library(dplyr)
dat %>%
distinct() %>% # get distinct rows
mutate(value = 1) %>% # create a counter
spread(category, value, fill=0) # reshape dataset
# ID var1 var2 var3 a b c
# 1 1 x x x 1 1 0
# 2 2 y y y 1 1 1
# 3 3 z z z 0 1 1