Changing observation`s name using dplyr - r

Question

Suppose I have this dataset:
Variable <- c("GDP")
Country <- c("Brazil", "Chile")
df <- data.frame(Variable, Country)
I want to change the GDP to "Country_observation" GDP, i.e, Brazil GDP and Chile GDP.
I have a much larger dataset and I've been trying to do this by using
df %>% mutate(Variable = replace(Variable, Variable == "GDP", paste(Country, "GDP")))
However, it will print the first observation of variable "Country" for every observation in "Variable" that meets the conditional. Is there any way to make paste() use the value of Country on the row it is applying to?
I've tried to use rowwise() and it did not work. I've tried the following code as well and encountered the same problem
df %>% mutate(Country = ifelse(Country == "Chile", replace(Variable, Variable == "GDP",
paste(Country, "GDP")), Variable))
Thanks to everyone!
EDIT
I can't simply use unite because I still need the variable Country. So a workaround that I found was (I had several other observations that I needed to change their names)
df %>% mutate(Variable2 = ifelse(Variable == "GDP", paste0(Country, " ",
Variable), Variable)) %>%
mutate(Variable2 = replace(Variable2, Variable2 ==
"CR", "Country Risk")) %>%
mutate(Variable2 = replace(Variable2, Variable2
== "EXR", "Exchange Rate")) %>%
mutate(Variable2 = replace(Variable2,mVariable2 == "INTR", "Interest Rate"))
%>% select(-Variable) %>%
select(Horizon, Variable = Variable2, Response, Low, Up, Shock, Country,
Status)
EDIT 2
My desired output was
Horizon Variable Response Shock Country
1 Brazil GDP 0.0037 PCOM Brazil
2 Brazil GDP 0.0060 PCOM Brazil
3 Brazil GDP 0.0053 PCOM Brazil
4 Brazil GDP 0.0033 PCOM Brazil
5 Brazil GDP 0.0021 PCOM Brazil
6 Brazil GDP 0.0020 PCOM Brazil

Answer 1

This example should help:
library(tidyr)
library(dplyr)
Variable <- c("GDP")
Country <- c("Brazil", "Chile")
value = c(5,10)
df <- data.frame(Variable, Country, value)
# original data
df
# Variable Country value
# 1 GDP Brazil 5
# 2 GDP Chile 10
# update
df %>% unite(NewGDP, Variable, Country)
# NewGDP value
# 1 GDP_Brazil 5
# 2 GDP_Chile 10
If you want to use paste you can do:
df %>% mutate(NewGDP = paste0(Country,"_",Variable))
# Variable Country value NewGDP
# 1 GDP Brazil 5 Brazil_GDP
# 2 GDP Chile 10 Chile_GDP