I have the following code for calculating certain quantities of interest, specifically the sum of the two right-most columns.

library(dplyr)
library(janitor)

m = c(0, 0.8, 2.3, 4.1, 2.1)
l = c(0.3, 0.8, 0.9, 0.75, 0.25)

mytable = data.frame(l, m)
rownames(mytable) = paste("Group", 1:5)

# Initial population
n0 = c(1,1,1,1,1)

mytable = mytable %>%
  mutate(lm = l * m) %>%
  mutate(n = n0) %>%
  mutate(offspring = lm * n) %>%
  adorn_totals("row") 

This gives the following output:

> mytable
     l   m    lm n offspring
   0.3 0.0 0.000 1     0.000
   0.8 0.8 0.640 1     0.640
   0.9 2.3 2.070 1     2.070
  0.75 4.1 3.075 1     3.075
  0.25 2.1 0.525 1     0.525
 Total 9.3 6.310 5     6.310

I have the following issues:

• How to isolate the row totals for specific columns? In my case, I would like the row totals for just columns n and offspring. I read the documentation for the adorn_totals() function but I could not figure out how to do this.
• The row names assigned are missing. How can I make the row names appear and have the word "Total" as the row name for the new row of totals?
• The row total does not appear for the first column, which is strange.

CodePudding user response：

An option is to convert the columns other than the required columns to character class and then change it later. Regarding the row names, tibble doesn't allow for row names. We may need to create a column first with rownames_to_column

library(dplyr)
library(tibble)
library(janitor)
out <- mytable %>% 
    rownames_to_column('rn') %>%
    mutate(lm = l *m, n = n0, offspring = lm * n) %>% 
    mutate(across(-c(n, offspring), as.character)) %>% 
    adorn_totals('row', fill = NA) %>%
    type.convert(as.is = TRUE)

-output

> out
      rn    l   m    lm n offspring
 Group 1 0.30 0.0 0.000 1     0.000
 Group 2 0.80 0.8 0.640 1     0.640
 Group 3 0.90 2.3 2.070 1     2.070
 Group 4 0.75 4.1 3.075 1     3.075
 Group 5 0.25 2.1 0.525 1     0.525
   Total   NA  NA    NA 5     6.310
> str(out)
Classes ‘tabyl’ and 'data.frame':   6 obs. of  6 variables:
 $ rn       : chr  "Group 1" "Group 2" "Group 3" "Group 4" ...
 $ l        : num  0.3 0.8 0.9 0.75 0.25 NA
 $ m        : num  0 0.8 2.3 4.1 2.1 NA
 $ lm       : num  0 0.64 2.07 3.075 0.525 ...
 $ n        : int  1 1 1 1 1 5
 $ offspring: num  0 0.64 2.07 3.075 0.525 ...
 - attr(*, "core")='data.frame':    5 obs. of  6 variables:
  ..$ rn       : chr [1:5] "Group 1" "Group 2" "Group 3" "Group 4" ...
  ..$ l        : chr [1:5] "0.3" "0.8" "0.9" "0.75" ...
  ..$ m        : chr [1:5] "0" "0.8" "2.3" "4.1" ...
  ..$ lm       : chr [1:5] "0" "0.64" "2.07" "3.075" ...
  ..$ n        : num [1:5] 1 1 1 1 1
  ..$ offspring: num [1:5] 0 0.64 2.07 3.075 0.525
 - attr(*, "tabyl_type")= chr "two_way"
 - attr(*, "totals")= chr "row"