sum two columns in R

tablename$column3=rowSums(cbind(tablename$column1,tablename$column2),na.rm=TRUE)

This can be used to ignore blank values in the excel sheet.
I have used for Euro stat dataset.

This example works in R:

crime_stat_data$All_theft <-rowSums(cbind(crime_stat_data$Theft,crime_stat_data$Theft_of_a_motorised_land_vehicle, crime_stat_data$Burglary, crime_stat_data$Burglary_of_private_residential_premises), na.rm=TRUE)  

You can use a for loop:

for (i in 1:nrow(df)) {
   df$col3[i] <- df$col1[i] + df$col2[i]
}

The sum function will add all numbers together to produce a single number, not a vector (well, at least not a vector of length greater than 1).

It looks as though at least one of your columns is a factor. You could convert them into numeric vectors by checking this

head(as.numeric(data$col1))  # make sure this gives you the right output

And if that looks right, do

data$col1 <- as.numeric(data$col1)
data$col2 <- as.numeric(data$col2)

You might have to convert them into characters first. In which case do

data$col1 <- as.numeric(as.character(data$col1))
data$col2 <- as.numeric(as.character(data$col2))

It's hard to tell which you should do without being able to see your data.

Once the columns are numeric, you just have to do

data$col3 <- data$col1 + data$col2