I have a data frame looks like this:
structure(list(Policy_Number = c(81300000293, 81300000455, 81300000536,
81300000617, 81300000690, 81300000771, 81300000852, 81300000933,
81300001184, 81300001265), Every_2_Month = c(NA, 1, NA, NA, NA,
NA, 1, NA, NA, NA), Annual = c(NA, NA, NA, 8, NA, NA, NA, 10,
NA, NA), Quarterly = c(NA, 1, NA, NA, 43, NA, NA, NA, NA, NA),
Semi_Annual = c(NA, NA, 2, NA, NA, NA, NA, NA, NA, NA), Monthly = c(26,
NA, NA, 36, NA, 70, 126, NA, 60, 58)), row.names = c(NA,
-10L), problems = structure(list(row = 292488L, col = "Policy_Number",
expected = "a double", actual = "Grand Total", file = "'C:/Users/roozb/Dropbox/Roozbeh-Emad/Life Insurance/2- Original Data/type_of_payment.csv'"), row.names = c(NA,
-1L), class = c("tbl_df", "tbl", "data.frame")), class = c("tbl_df",
"tbl", "data.frame"))
What I want to do is to create a new column and put total number of time that a number occurred in each row of the dataframe in it. so the result would be:
Policy_Number Every_2_Month Annual Quarterly Semi_Annual Monthly Total_int
<dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 81300000293 NA NA NA NA 26 1
2 81300000455 1 NA 1 NA NA 2
3 81300000536 NA NA NA 2 NA 1
4 81300000617 NA 8 NA NA 36 1
5 81300000690 NA NA 43 NA NA 1
6 81300000771 NA NA NA NA 70 1
7 81300000852 1 NA NA NA 126 2
8 81300000933 NA 10 NA NA NA 1
9 81300001184 NA NA NA NA 60 1
10 81300001265 NA NA NA NA 58 1
