Currently need some help with the below dataframe (which is also the same format in Excel so this could be done in Excel or R)
Dataframe:
Company_id    Year    Month    Employee_Range   Employees Cheese Chips Eggs
1             2014    NA       NA               NA         1       0    0   
1             2014    NA       NA               NA         1       0    0  
1             2014    NA       NA               NA         1       0    0 
2             2014    NA       NA               NA         0       1    0
3             2014    NA       NA               NA         0       0    1 
3             2014    NA       NA               NA         0       0    1
The dataframe continues on for about 630,000 rows, here is some further information
1) for the column company_id, each company is numbered so 1 = company 1, 2 = company 2 and so on. Each company is repeated based on if they received Chips, Eggs or Cheese more than once, which is why company 2 only has one row.
2) the numbers under the columns, cheese, chips and eggs just means 1 = "yes they ordered it" and 0 = "no they did not order it", so it works like a tally table but each company is a row
3) the rest of the information is NA as it is not needed
4) if a company chose one of eggs, cheese or chips then it is just that column only! There are no cases or occurences where a company chose more than one item, so all numbers are contained to a single column for that company.
I would like a way to find the sum of the count of a given company row, so i would like to produce a dataframe or excel table such as :
   Company_id    Year    Month    Employee_Range   Employees Cheese Chips Eggs
        1          2014    NA       NA               NA         3       0    0
        2          2014    NA       NA               NA         0       1    0
        3          2014    NA       NA               NA         0       0   2
Any ideas are helpful,
Thank you,
 
     
    