Convert data frame of counts to data frame of cases. data frame must contain a column with frequencies (counts) as generated by as.data.frame from a contingency table
Source:R/counts_to_cases.R
counts_to_cases.Rd
Convert data frame of counts to data frame of cases. data frame must contain a column with frequencies (counts) as generated by as.data.frame from a contingency table
Arguments
- x
a
data.frame
of counts generated from a contingency table.- countcol
character string, name of the column of x containing the counts. Default name of the column is "Freq".
Examples
counts_to_cases(as.data.frame(HairEyeColor[, , 1]), countcol = "Freq")
#> Hair Eye
#> 1 Black Brown
#> 1.1 Black Brown
#> 1.2 Black Brown
#> 1.3 Black Brown
#> 1.4 Black Brown
#> 1.5 Black Brown
#> 1.6 Black Brown
#> 1.7 Black Brown
#> 1.8 Black Brown
#> 1.9 Black Brown
#> 1.10 Black Brown
#> 1.11 Black Brown
#> 1.12 Black Brown
#> 1.13 Black Brown
#> 1.14 Black Brown
#> 1.15 Black Brown
#> 1.16 Black Brown
#> 1.17 Black Brown
#> 1.18 Black Brown
#> 1.19 Black Brown
#> 1.20 Black Brown
#> 1.21 Black Brown
#> 1.22 Black Brown
#> 1.23 Black Brown
#> 1.24 Black Brown
#> 1.25 Black Brown
#> 1.26 Black Brown
#> 1.27 Black Brown
#> 1.28 Black Brown
#> 1.29 Black Brown
#> 1.30 Black Brown
#> 1.31 Black Brown
#> 2 Brown Brown
#> 2.1 Brown Brown
#> 2.2 Brown Brown
#> 2.3 Brown Brown
#> 2.4 Brown Brown
#> 2.5 Brown Brown
#> 2.6 Brown Brown
#> 2.7 Brown Brown
#> 2.8 Brown Brown
#> 2.9 Brown Brown
#> 2.10 Brown Brown
#> 2.11 Brown Brown
#> 2.12 Brown Brown
#> 2.13 Brown Brown
#> 2.14 Brown Brown
#> 2.15 Brown Brown
#> 2.16 Brown Brown
#> 2.17 Brown Brown
#> 2.18 Brown Brown
#> 2.19 Brown Brown
#> 2.20 Brown Brown
#> 2.21 Brown Brown
#> 2.22 Brown Brown
#> 2.23 Brown Brown
#> 2.24 Brown Brown
#> 2.25 Brown Brown
#> 2.26 Brown Brown
#> 2.27 Brown Brown
#> 2.28 Brown Brown
#> 2.29 Brown Brown
#> 2.30 Brown Brown
#> 2.31 Brown Brown
#> 2.32 Brown Brown
#> 2.33 Brown Brown
#> 2.34 Brown Brown
#> 2.35 Brown Brown
#> 2.36 Brown Brown
#> 2.37 Brown Brown
#> 2.38 Brown Brown
#> 2.39 Brown Brown
#> 2.40 Brown Brown
#> 2.41 Brown Brown
#> 2.42 Brown Brown
#> 2.43 Brown Brown
#> 2.44 Brown Brown
#> 2.45 Brown Brown
#> 2.46 Brown Brown
#> 2.47 Brown Brown
#> 2.48 Brown Brown
#> 2.49 Brown Brown
#> 2.50 Brown Brown
#> 2.51 Brown Brown
#> 2.52 Brown Brown
#> 3 Red Brown
#> 3.1 Red Brown
#> 3.2 Red Brown
#> 3.3 Red Brown
#> 3.4 Red Brown
#> 3.5 Red Brown
#> 3.6 Red Brown
#> 3.7 Red Brown
#> 3.8 Red Brown
#> 3.9 Red Brown
#> 4 Blond Brown
#> 4.1 Blond Brown
#> 4.2 Blond Brown
#> 5 Black Blue
#> 5.1 Black Blue
#> 5.2 Black Blue
#> 5.3 Black Blue
#> 5.4 Black Blue
#> 5.5 Black Blue
#> 5.6 Black Blue
#> 5.7 Black Blue
#> 5.8 Black Blue
#> 5.9 Black Blue
#> 5.10 Black Blue
#> 6 Brown Blue
#> 6.1 Brown Blue
#> 6.2 Brown Blue
#> 6.3 Brown Blue
#> 6.4 Brown Blue
#> 6.5 Brown Blue
#> 6.6 Brown Blue
#> 6.7 Brown Blue
#> 6.8 Brown Blue
#> 6.9 Brown Blue
#> 6.10 Brown Blue
#> 6.11 Brown Blue
#> 6.12 Brown Blue
#> 6.13 Brown Blue
#> 6.14 Brown Blue
#> 6.15 Brown Blue
#> 6.16 Brown Blue
#> 6.17 Brown Blue
#> 6.18 Brown Blue
#> 6.19 Brown Blue
#> 6.20 Brown Blue
#> 6.21 Brown Blue
#> 6.22 Brown Blue
#> 6.23 Brown Blue
#> 6.24 Brown Blue
#> 6.25 Brown Blue
#> 6.26 Brown Blue
#> 6.27 Brown Blue
#> 6.28 Brown Blue
#> 6.29 Brown Blue
#> 6.30 Brown Blue
#> 6.31 Brown Blue
#> 6.32 Brown Blue
#> 6.33 Brown Blue
#> 6.34 Brown Blue
#> 6.35 Brown Blue
#> 6.36 Brown Blue
#> 6.37 Brown Blue
#> 6.38 Brown Blue
#> 6.39 Brown Blue
#> 6.40 Brown Blue
#> 6.41 Brown Blue
#> 6.42 Brown Blue
#> 6.43 Brown Blue
#> 6.44 Brown Blue
#> 6.45 Brown Blue
#> 6.46 Brown Blue
#> 6.47 Brown Blue
#> 6.48 Brown Blue
#> 6.49 Brown Blue
#> 7 Red Blue
#> 7.1 Red Blue
#> 7.2 Red Blue
#> 7.3 Red Blue
#> 7.4 Red Blue
#> 7.5 Red Blue
#> 7.6 Red Blue
#> 7.7 Red Blue
#> 7.8 Red Blue
#> 7.9 Red Blue
#> 8 Blond Blue
#> 8.1 Blond Blue
#> 8.2 Blond Blue
#> 8.3 Blond Blue
#> 8.4 Blond Blue
#> 8.5 Blond Blue
#> 8.6 Blond Blue
#> 8.7 Blond Blue
#> 8.8 Blond Blue
#> 8.9 Blond Blue
#> 8.10 Blond Blue
#> 8.11 Blond Blue
#> 8.12 Blond Blue
#> 8.13 Blond Blue
#> 8.14 Blond Blue
#> 8.15 Blond Blue
#> 8.16 Blond Blue
#> 8.17 Blond Blue
#> 8.18 Blond Blue
#> 8.19 Blond Blue
#> 8.20 Blond Blue
#> 8.21 Blond Blue
#> 8.22 Blond Blue
#> 8.23 Blond Blue
#> 8.24 Blond Blue
#> 8.25 Blond Blue
#> 8.26 Blond Blue
#> 8.27 Blond Blue
#> 8.28 Blond Blue
#> 8.29 Blond Blue
#> 9 Black Hazel
#> 9.1 Black Hazel
#> 9.2 Black Hazel
#> 9.3 Black Hazel
#> 9.4 Black Hazel
#> 9.5 Black Hazel
#> 9.6 Black Hazel
#> 9.7 Black Hazel
#> 9.8 Black Hazel
#> 9.9 Black Hazel
#> 10 Brown Hazel
#> 10.1 Brown Hazel
#> 10.2 Brown Hazel
#> 10.3 Brown Hazel
#> 10.4 Brown Hazel
#> 10.5 Brown Hazel
#> 10.6 Brown Hazel
#> 10.7 Brown Hazel
#> 10.8 Brown Hazel
#> 10.9 Brown Hazel
#> 10.10 Brown Hazel
#> 10.11 Brown Hazel
#> 10.12 Brown Hazel
#> 10.13 Brown Hazel
#> 10.14 Brown Hazel
#> 10.15 Brown Hazel
#> 10.16 Brown Hazel
#> 10.17 Brown Hazel
#> 10.18 Brown Hazel
#> 10.19 Brown Hazel
#> 10.20 Brown Hazel
#> 10.21 Brown Hazel
#> 10.22 Brown Hazel
#> 10.23 Brown Hazel
#> 10.24 Brown Hazel
#> 11 Red Hazel
#> 11.1 Red Hazel
#> 11.2 Red Hazel
#> 11.3 Red Hazel
#> 11.4 Red Hazel
#> 11.5 Red Hazel
#> 11.6 Red Hazel
#> 12 Blond Hazel
#> 12.1 Blond Hazel
#> 12.2 Blond Hazel
#> 12.3 Blond Hazel
#> 12.4 Blond Hazel
#> 13 Black Green
#> 13.1 Black Green
#> 13.2 Black Green
#> 14 Brown Green
#> 14.1 Brown Green
#> 14.2 Brown Green
#> 14.3 Brown Green
#> 14.4 Brown Green
#> 14.5 Brown Green
#> 14.6 Brown Green
#> 14.7 Brown Green
#> 14.8 Brown Green
#> 14.9 Brown Green
#> 14.10 Brown Green
#> 14.11 Brown Green
#> 14.12 Brown Green
#> 14.13 Brown Green
#> 14.14 Brown Green
#> 15 Red Green
#> 15.1 Red Green
#> 15.2 Red Green
#> 15.3 Red Green
#> 15.4 Red Green
#> 15.5 Red Green
#> 15.6 Red Green
#> 16 Blond Green
#> 16.1 Blond Green
#> 16.2 Blond Green
#> 16.3 Blond Green
#> 16.4 Blond Green
#> 16.5 Blond Green
#> 16.6 Blond Green
#> 16.7 Blond Green