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How to create a frequency table in R that includes zero frequency for value that are not available?
When we use table function in R, the output shows the frequency of values that are available in the vector or in column of the data frame. If we want to create the table with the frequency zero for values that are not part of the vector or the column then first we need to convert them to factor first and then use the table function.
Example1
x1<−c(1,1,1,1,1,1,1,2,2,2,2,2,3,3,3,3,4,4,4,4,6,6) x1<−factor(x1,levels=c(1:6)) table(x1)
Output
x1 1 2 3 4 5 6 7 5 4 4 0 2
Example2
x2<−sample(c(1,2,3,5,6,7),200,replace=TRUE) x2
Output
[1] 2 3 1 7 7 2 3 5 5 3 1 3 7 6 7 2 6 3 2 1 1 1 5 7 3 6 6 5 5 5 5 2 2 7 7 6 3 [38] 7 1 6 2 7 3 6 5 2 6 7 7 2 3 1 3 3 7 1 1 5 7 5 3 1 6 2 3 1 2 5 3 3 1 3 7 2 [75] 1 6 2 1 6 7 7 2 1 3 7 6 7 6 3 5 6 7 7 7 3 3 2 6 2 1 3 7 6 1 3 5 5 3 7 1 3 [112] 2 1 2 3 1 3 6 3 3 5 3 2 2 7 7 6 3 2 2 3 5 3 7 6 6 6 6 2 7 1 7 7 5 3 6 5 3 [149] 5 1 6 2 5 5 1 6 3 6 3 6 5 5 1 1 6 3 3 7 2 3 5 3 1 1 7 1 3 2 3 3 7 7 7 3 5 [186] 1 3 7 6 7 5 3 6 3 6 1 1 1 3 7
Example
x2<−factor(x2,levels=c(1:7)) table(x2)
Output
x2 1 2 3 4 5 6 7 32 26 48 0 26 31 37
Example3
x3<−sample(c(0,1,2,4,5,6),500,replace=TRUE) x3
Output
[1] 5 4 4 6 6 4 2 2 5 0 1 1 1 1 0 2 2 1 0 1 5 2 4 5 0 5 4 2 5 2 6 0 1 6 4 2 4 [38] 6 0 6 2 6 5 1 6 0 0 2 4 2 4 5 4 4 0 1 5 1 5 6 4 2 5 4 5 6 0 2 1 1 2 4 5 2 [75] 6 0 4 0 5 5 0 2 5 6 1 5 6 2 6 2 0 0 1 6 2 2 5 6 1 5 5 6 1 1 6 5 1 6 5 2 2 [112] 4 0 1 4 4 0 6 0 4 5 6 5 2 4 5 5 0 4 2 1 4 5 5 1 2 5 2 4 4 2 1 6 0 0 2 5 6 [149] 2 6 0 0 1 1 4 6 2 1 2 1 1 6 0 4 6 6 4 1 5 0 5 1 0 0 6 6 1 6 5 4 2 2 1 6 1 [186] 0 0 1 4 4 4 4 1 0 5 1 0 1 1 5 1 4 1 5 1 0 0 5 6 5 0 0 0 4 5 1 6 2 5 6 1 2 [223] 5 6 6 4 6 5 1 6 6 2 0 5 6 5 5 5 2 4 1 6 2 2 0 6 6 5 4 5 4 4 4 5 6 0 2 5 1 [260] 6 5 6 6 2 6 2 0 0 5 4 4 4 0 4 1 6 5 5 1 4 6 4 5 4 6 6 1 4 0 2 1 5 6 2 2 5 [297] 1 5 2 1 1 6 2 2 0 6 5 0 1 6 4 2 5 0 2 5 0 2 0 1 6 5 1 2 6 0 2 6 5 4 5 5 0 [334] 2 5 0 2 1 4 0 2 5 6 6 1 2 2 5 5 5 1 0 4 4 0 2 0 0 2 0 4 2 5 6 0 5 5 2 5 1 [371] 4 5 0 5 6 6 6 4 6 6 5 2 5 5 4 6 5 1 1 6 6 2 0 1 5 6 4 1 0 5 5 2 6 5 0 4 4 [408] 6 4 0 6 2 2 5 6 2 2 5 4 5 0 6 0 4 1 6 0 2 2 6 2 2 2 5 0 2 1 5 5 1 0 4 6 5 [445] 1 5 5 1 1 6 2 0 1 5 2 6 4 4 5 2 1 6 1 5 4 5 0 4 6 1 0 4 0 4 1 1 2 4 5 6 2 [482] 1 1 0 1 0 1 5 5 5 5 2 6 6 5 2 1 5 2 2
Output
x3<−factor(x3,levels=c(0:6)) table(x3)
Output
x3 0 1 2 3 4 5 6 74 80 84 0 71 104 87
Example4
x4<−sample(c(0,1,2,5),500,replace=TRUE) x4
Output
[1] 0 0 5 0 0 0 0 2 2 2 1 5 0 1 1 1 2 5 1 5 2 5 5 0 1 2 0 1 1 5 1 5 0 0 1 2 2 [38] 2 0 2 2 0 2 1 2 2 2 1 2 5 1 1 5 0 1 5 2 1 1 0 1 0 5 1 2 2 1 0 0 5 2 2 1 5 [75] 5 0 2 2 2 0 5 0 2 2 2 5 0 5 1 1 1 5 1 5 2 0 5 2 0 0 5 0 1 1 1 5 5 5 2 1 1 [112] 0 5 2 5 2 1 2 1 5 0 0 0 1 2 2 0 0 1 0 5 5 0 0 1 1 2 5 5 5 1 2 2 0 0 1 1 5 [149] 0 1 5 2 1 0 5 0 5 0 0 2 0 2 2 2 2 2 1 1 2 5 1 1 1 5 5 0 1 1 5 1 2 0 1 2 1 [186] 2 1 5 0 0 0 0 5 0 5 2 5 2 1 0 2 2 2 2 1 5 5 2 0 1 0 1 0 1 0 0 2 0 1 0 5 1 [223] 0 2 0 0 1 2 2 1 5 0 5 5 5 5 2 5 1 0 5 2 0 1 0 5 1 0 5 2 5 0 2 0 2 1 5 5 1 [260] 2 5 0 0 5 0 1 1 1 0 2 0 0 2 2 2 1 0 1 2 2 0 0 0 1 2 0 5 2 5 2 1 1 2 2 1 1 [297] 1 0 0 5 5 5 5 1 5 0 1 5 0 2 5 5 2 5 0 1 0 2 0 1 2 0 1 2 5 5 0 5 0 5 5 1 2 [334] 1 2 1 2 5 2 2 1 2 2 5 1 5 2 5 0 0 1 5 1 1 0 0 0 1 1 0 0 2 1 2 1 1 1 5 1 1 [371] 1 1 1 2 2 2 1 1 1 2 5 2 0 1 1 5 2 5 2 0 0 0 0 5 5 1 0 2 0 5 0 5 0 2 1 0 0 [408] 5 1 1 2 0 5 1 1 0 2 5 0 5 2 5 2 5 2 0 0 5 0 0 0 1 2 5 5 2 2 1 2 2 0 5 1 5 [445] 5 0 1 1 1 1 5 1 5 5 0 1 5 0 1 2 5 0 1 2 0 2 1 5 0 1 1 2 1 0 0 0 1 5 1 5 1 [482] 5 2 0 2 5 5 1 1 0 5 1 2 1 5 2 2 5 1 0
Example
x4<−factor(x4,levels=c(0:5)) table(x4)
Output
x4 0 1 2 3 4 5 128 135 120 0 0 117
Example5
x5<−sample(c(0,1,5,10),500,replace=TRUE) x5
Output
[1] 1 0 1 0 5 5 10 0 0 1 10 0 0 5 10 1 5 1 10 0 1 0 1 5 1 [26] 5 10 5 10 1 10 1 0 1 1 0 5 5 5 0 10 5 10 5 5 0 5 0 0 1 [51] 0 5 5 0 1 10 10 0 0 1 0 0 0 10 5 0 1 1 0 0 5 10 0 5 1 [76] 10 10 5 1 1 0 0 0 0 0 5 5 0 10 0 10 0 5 0 10 5 0 1 1 5 [101] 0 1 5 1 1 0 0 5 1 10 0 10 5 5 0 1 5 0 10 1 10 10 0 10 0 [126] 5 0 10 5 5 10 10 10 10 10 5 0 5 0 0 0 5 0 10 0 10 5 10 1 0 [151] 10 5 0 10 10 0 5 10 0 0 0 5 5 0 1 5 5 1 5 5 0 10 10 10 1 [176] 0 5 0 0 10 5 5 0 10 10 5 10 0 1 1 1 1 0 0 10 10 1 10 1 5 [201] 1 0 5 10 10 10 1 10 5 5 0 5 10 5 1 5 5 10 5 1 1 0 0 10 0 [226] 0 5 1 1 0 0 1 5 0 10 1 5 0 0 1 10 1 5 0 5 0 5 1 0 5 [251] 1 10 5 0 5 0 1 5 1 1 10 5 10 0 5 0 1 0 0 5 0 5 1 10 10 [276] 0 0 0 10 0 1 5 10 5 5 0 5 5 0 1 5 0 10 1 0 5 1 0 5 0 [301] 1 5 5 1 1 0 10 0 10 10 10 5 10 0 10 5 5 0 5 10 0 10 5 10 5 [326] 0 10 1 0 1 0 1 1 5 1 10 5 0 5 5 5 10 10 10 10 1 10 1 1 10 [351] 5 1 1 1 1 5 0 10 0 10 10 5 10 1 10 5 10 10 10 1 0 0 0 0 10 [376] 5 0 5 0 5 10 1 10 10 1 0 10 10 1 10 1 5 10 0 0 1 0 5 0 0 [401] 5 1 0 10 1 0 10 5 10 5 5 10 0 10 1 0 10 10 1 0 10 0 0 10 10 [426] 5 5 10 1 10 0 5 0 5 1 5 10 5 1 0 5 0 10 0 5 5 5 0 0 10 [451] 5 0 10 5 10 1 5 1 5 0 1 10 5 10 0 1 10 0 0 10 1 1 0 0 5 [476] 0 5 10 5 5 10 5 5 1 5 1 10 1 1 10 0 1 0 1 1 5 1 1 0 10
Example
x5<−factor(x5,levels=c(0:10)) table(x5)
Output
x5 0 1 2 3 4 5 6 7 8 9 10 144 104 0 0 0 129 0 0 0 0 123
Updated on: 09-Feb-2021
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