Is this what you mean?
library(dplyr)
# Sample data on a copy/paste friendly format
sample_df <- data.frame(stringsAsFactors=FALSE,
check.names = FALSE,
ticket.first.char = c("1", "2", "3", "4", "5", "6", "7", "8", "9", "A", "C",
"F", "L", "P", "S", "W"),
`0` = c(54, 98, 229, 8, 3, 5, 8, 2, 0, 27, 31, 3, 3, 23, 44,
11),
`1` = c(92, 85, 72, 2, 0, 1, 1, 0, 1, 2, 16, 4, 1, 42, 21, 2),
None = c(64, 95, 128, 1, 0, 3, 4, 0, 1, 13, 30, 6, 1, 33, 33, 6)
)
sample_df %>%
mutate(sum_0_1 = `0` + `1`)
#> ticket.first.char 0 1 None sum_0_1
#> 1 1 54 92 64 146
#> 2 2 98 85 95 183
#> 3 3 229 72 128 301
#> 4 4 8 2 1 10
#> 5 5 3 0 0 3
#> 6 6 5 1 3 6
#> 7 7 8 1 4 9
#> 8 8 2 0 0 2
#> 9 9 0 1 1 1
#> 10 A 27 2 13 29
#> 11 C 31 16 30 47
#> 12 F 3 4 6 7
#> 13 L 3 1 1 4
#> 14 P 23 42 33 65
#> 15 S 44 21 33 65
#> 16 W 11 2 6 13
Created on 2020-01-16 by the reprex package (v0.3.0.9000)
If not, please provide a proper REPRoducible EXample (reprex) illustrating your issue.