Provides a summary of the results of a multivariate data analysis.
Usage
# S4 method for CA
summary(object, margin = 1, active = TRUE, sup = TRUE, rank = 3)
# S4 method for PCA
summary(object, margin = 1, active = TRUE, sup = TRUE, rank = 3)Arguments
- object
- margin
A length-one
numericvector giving the subscript which the data will be summarized:1indicates individuals/rows (the default),2indicates variables/columns.- active
A
logicalscalar: should the active observations be summarized?- sup
A
logicalscalar: should the supplementary observations be summarized?- rank
An
integervalue specifying the maximal number of components to be kept in the results.
Examples
## Load data
data("zuni", package = "folio")
## Compute correspondence analysis
X <- ca(zuni, rank = 5, sup_row = 1:50)
## Rows summary
summary(X, margin = 1)
#> --- Correspondence Analysis (CA) ------------------------------------------------
#>
#> Eigenvalues:
#> eigenvalues variance cumulative
#> F1 0.795 39.122 39.122
#> F2 0.547 26.948 66.071
#> F3 0.305 15.018 81.088
#> F4 0.218 10.748 91.837
#> F5 0.166 8.163 100.000
#>
#> Active rows:
#> inertia CA1_coord CA1_contrib CA1_cos2 CA2_coord CA2_contrib CA2_cos2
#> LZ1009 3.883 0.880 0.037 0.076 1.167 0.094 0.133
#> LZ1008 2.198 0.560 0.011 0.039 1.717 0.146 0.364
#> LZ1007 5.146 0.120 0.001 0.001 1.001 0.089 0.095
#> LZ1004 4.303 0.107 0.001 0.002 0.642 0.057 0.073
#> LZ1001 1.833 1.562 0.100 0.433 0.189 0.002 0.006
#> LZ0988 11.161 2.861 0.950 0.676 -1.884 0.598 0.293
#> LZ0987 1.865 0.321 0.004 0.015 1.184 0.069 0.204
#> LZ0986 5.433 0.810 0.045 0.065 2.080 0.429 0.432
#> LZ0983 19.695 2.861 1.676 0.676 -1.884 1.055 0.293
#> LZ0982 29.543 2.861 2.514 0.676 -1.884 1.582 0.293
#> CA3_coord CA3_contrib CA3_cos2
#> LZ1009 -0.891 0.099 0.078
#> LZ1008 -1.180 0.124 0.172
#> LZ1007 -1.122 0.202 0.119
#> LZ1004 -0.446 0.049 0.035
#> LZ1001 0.976 0.102 0.169
#> LZ0988 -0.536 0.087 0.024
#> LZ0987 -0.444 0.018 0.029
#> LZ0986 -1.083 0.208 0.117
#> LZ0983 -0.536 0.153 0.024
#> LZ0982 -0.536 0.230 0.024
#> (370 more)
#>
#> Supplementary rows:
#> CA1_coord CA1_cos2 CA2_coord CA2_cos2 CA3_coord CA3_cos2
#> LZ1105 0.056 0.001 0.920 0.165 -1.042 0.211
#> LZ1103 0.318 0.067 0.396 0.105 -0.469 0.147
#> LZ1100 0.134 0.014 0.626 0.295 0.106 0.008
#> LZ1099 0.841 0.054 2.064 0.323 -0.523 0.021
#> LZ1097 0.617 0.041 0.774 0.064 -0.465 0.023
#> LZ1096 2.246 0.696 -0.788 0.086 -0.791 0.086
#> LZ1095 0.293 0.024 1.078 0.330 -0.322 0.029
#> LZ1092 0.542 0.074 1.288 0.420 -0.115 0.003
#> LZ1091 0.270 0.034 0.961 0.427 -0.028 0.000
#> LZ1090 2.656 0.728 -1.538 0.244 -0.448 0.021
#> (50 more)
## Columns summary
summary(X, margin = 2)
#> --- Correspondence Analysis (CA) ------------------------------------------------
#>
#> Eigenvalues:
#> eigenvalues variance cumulative
#> F1 0.795 39.122 39.122
#> F2 0.547 26.948 66.071
#> F3 0.305 15.018 81.088
#> F4 0.218 10.748 91.837
#> F5 0.166 8.163 100.000
#>
#> Active columns:
#> inertia CA1_coord CA1_contrib CA1_cos2 CA2_coord CA2_contrib CA2_cos2
#> LINO 651.912 2.550 62.455 0.761 -1.394 27.076 0.227
#> KIAT 148.177 1.246 2.382 0.128 0.492 0.539 0.020
#> RED 322.621 1.376 7.560 0.186 1.403 11.403 0.193
#> GALL 150.034 0.997 1.823 0.097 1.795 8.590 0.313
#> ESC 119.395 0.537 0.395 0.026 1.264 3.183 0.146
#> PUBW 255.598 0.632 2.620 0.081 1.445 19.891 0.426
#> RES 159.994 0.604 1.505 0.075 1.339 10.740 0.367
#> TULA 143.094 -0.367 3.882 0.216 -0.063 0.168 0.006
#> PINE 23.086 -0.476 0.372 0.128 -0.229 0.125 0.030
#> PUBR 147.602 0.731 0.846 0.046 1.619 6.024 0.223
#> CA3_coord CA3_contrib CA3_cos2
#> LINO -0.296 2.195 0.010
#> KIAT 1.441 8.301 0.171
#> RED 2.353 57.559 0.544
#> GALL 0.162 0.126 0.003
#> ESC -0.340 0.414 0.011
#> PUBW -0.789 10.654 0.127
#> RES -0.439 2.069 0.039
#> TULA -0.130 1.268 0.027
#> PINE 0.095 0.039 0.005
#> PUBR -0.959 3.792 0.078
#> (18 more)