burt.RdComputes a Burt table from a data frame composed of categorical variables.
burt(data)data frame with n rows (individuals) and p columns (categorical variables)
A Burt table is a symmetric table that is used in correspondence analysis. It shows the frequencies for all combinations of categories of pairs of variables.
Returns a square matrix. Its dimension is equal to the total number of categories in the data frame.
Le Roux B. and Rouanet H., Multiple Correspondence Analysis, SAGE, Series: Quantitative Applications in the Social Sciences, Volume 163, CA:Thousand Oaks (2010).
Le Roux B. and Rouanet H., Geometric Data Analysis: From Correspondence Analysis to Stuctured Data Analysis, Kluwer Academic Publishers, Dordrecht (June 2004).
## Burt table of variables in columns 1 to 5
## in the Music example data set
data(Music)
burt(Music[,1:5])
#> FrenchPop.No FrenchPop.Yes FrenchPop.NA Rap.No Rap.Yes Rap.NA
#> FrenchPop.No 194 0 0 159 33 2
#> FrenchPop.Yes 0 301 0 255 43 3
#> FrenchPop.NA 0 0 5 3 1 1
#> Rap.No 159 255 3 417 0 0
#> Rap.Yes 33 43 1 0 77 0
#> Rap.NA 2 3 1 0 0 6
#> Rock.No 146 211 3 304 52 4
#> Rock.Yes 47 86 2 108 25 2
#> Rock.NA 1 4 0 5 0 0
#> Jazz.No 150 242 3 327 63 5
#> Jazz.Yes 37 56 2 82 12 1
#> Jazz.NA 7 3 0 8 2 0
#> Classical.No 139 208 4 283 64 4
#> Classical.Yes 52 89 1 129 11 2
#> Classical.NA 3 4 0 5 2 0
#> Rock.No Rock.Yes Rock.NA Jazz.No Jazz.Yes Jazz.NA Classical.No
#> FrenchPop.No 146 47 1 150 37 7 139
#> FrenchPop.Yes 211 86 4 242 56 3 208
#> FrenchPop.NA 3 2 0 3 2 0 4
#> Rap.No 304 108 5 327 82 8 283
#> Rap.Yes 52 25 0 63 12 2 64
#> Rap.NA 4 2 0 5 1 0 4
#> Rock.No 360 0 0 300 52 8 255
#> Rock.Yes 0 135 0 91 42 2 93
#> Rock.NA 0 0 5 4 1 0 3
#> Jazz.No 300 91 4 395 0 0 304
#> Jazz.Yes 52 42 1 0 95 0 41
#> Jazz.NA 8 2 0 0 0 10 6
#> Classical.No 255 93 3 304 41 6 351
#> Classical.Yes 99 41 2 84 54 4 0
#> Classical.NA 6 1 0 7 0 0 0
#> Classical.Yes Classical.NA
#> FrenchPop.No 52 3
#> FrenchPop.Yes 89 4
#> FrenchPop.NA 1 0
#> Rap.No 129 5
#> Rap.Yes 11 2
#> Rap.NA 2 0
#> Rock.No 99 6
#> Rock.Yes 41 1
#> Rock.NA 2 0
#> Jazz.No 84 7
#> Jazz.Yes 54 0
#> Jazz.NA 4 0
#> Classical.No 0 0
#> Classical.Yes 142 0
#> Classical.NA 0 7