Insert Column Name into its Value using R - r

Question

I need to insert Column Name, Department, into its value. i have code like here:
Department <- c("Store1","Store2","Store3","Store4","Store5")
Department2 <- c("IT1","IT2","IT3","IT4","IT5")
x <- c(100,200,300,400,500)
Result <- data.frame(Department,Department2,x)
Result
The expected result is like:
Department <- c("Department_Store1","Departmentz_Store2","Department_Store3","Department_Store4","Department_Store5")
Department2 <- c("Department2_IT1","Department2_IT2","Department2_IT3","Department2_IT4","Department2_IT5")
x <- c(100,200,300,400,500)
Expected.Result <- data.frame(Department,Department2,x)
Expected.Result
Can somebody help? Thanks

Answer 1

Another way with dplyr and tidyr:
library(dplyr)
library(tidyr)
# Convert to character to avoid warning message, will convert all columns to character
Result[] <- lapply(Result, as.character)
Result %>%
mutate_if(is.factor, as.character) %>% # optional, only convert factor to character, retain all other types
gather(key, value, -x) %>%
mutate(var = paste(key, value, sep = "_")) %>%
select(-value) %>%
spread(key,var)
x Department Department2
1 100 Department_Store1 Department2_IT1
2 200 Department_Store2 Department2_IT2
3 300 Department_Store3 Department2_IT3
4 400 Department_Store4 Department2_IT4
5 500 Department_Store5 Department2_IT5
Data:
Result <- data.frame(
Department = c("Store1","Store2","Store3","Store4","Store5"),
Department2 = c("IT1","IT2","IT3","IT4","IT5"),
x = c(100,200,300,400,500)
)

Answer 2

If you gather the column names in question into a vector dep_col, this is a clean base R solution with a for loop:
df <- data.frame(x = 1:5,
Department = paste0("Store", 1:5),
Department2 = paste0("IT", 1:5))
dep_col <- names(df)[-1]
for (c in dep_col)
df[[c]] <- paste(c, df[[c]], sep = "_")

Answer 3

If I understand correctly, the OP wants to prepend the values in all columns starting with "Department" by the respective column name.
Edit By request of the OP, the code to select columns has been generalized to pick additional column names.
Here is a solution using data.table's fast set() function:
library(data.table)
setDT(Result)
cols <- stringr::str_subset(names(Result), "^(Department|Division|Team)")
for (j in cols) {
set(Result, NULL, j, paste(j, Result[[j]], sep = "_"))
}
Result
Department Department2 x
1: Department_Store1 Department2_IT1 100
2: Department_Store2 Department2_IT2 200
3: Department_Store3 Department2_IT3 300
4: Department_Store4 Department2_IT4 400
5: Department_Store5 Department2_IT5 500
Note that set() updates by reference, i.e., without copying the whole object.