predict.homals: Classification tables for homals solutions

Description Usage Arguments Details Value See Also Examples

Description

Given a multiple homals solution we can reconstruct the indicator matrix by assigning each object to the closest category point of the variable. We can then find out how well we have reconstructed the original data in terms of a classification table.

Usage

1
2
## S3 method for class 'homals'
predict(object, ...)

Arguments

object

Object of class "homals"

...

Further arguments ignored

Details

For variables with rank restrictions we first project the objects on the hyperplane spanned by the category quantifications, and then compute distances in that plane. If there are sets of variables, the percentage correctly classified for a variable is usually not the best thing to look at; except in some special cases, in which some sets consist of a single variable (such as regression and discriminant analysis). In any case a square table with observed vs. predicted values is computed.

Value

cl.table

List of classification tables for each variable.

cr.vec

Vector with classification rates.

See Also

homals

Examples

1
2
3
4
5
  data(galo)
  res <- homals(galo, active=c(TRUE, TRUE,TRUE, TRUE, FALSE))
  pr.res <- predict(res)
  pr.res
  summary(pr.res)

Example output

Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE 
3: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 

Classification rate:
  Variable Cl. Rate %Cl. Rate
1   gender   0.7023     70.23
2       IQ   0.5147     51.47
3   advice   0.6481     64.81
4      SES   0.4760     47.60
5   School   0.0302      3.02


Classification Tables (observed vs. predicted): 

Variable: gender 
   pre
obs   F   M
  F 344 291
  M  93 562

Variable: IQ 
   pre
obs   1   2   3   4   5   6   7   8   9
  1   4   0   0   0   1   0   0   0   0
  2   0  15   2   0   0   0   0   0   0
  3  19  23  69   9   1   0   0   0   0
  4  89   4  19  75  37   5   5   0   0
  5   0   0  10 118 168  77  17   0   0
  6   0   0   0   0  42 178  24   0   0
  7   0   0   0   1   7  52  97  40   0
  8   0   0   0   0   0   0   6  42  15
  9   0   0   0   0   0   0   0   3  16

Variable: advice 
      pre
obs    Agr Ext Gen Grls Man None Uni
  Agr   11   0   1    0   0    0   0
  Ext   11  93   0    0  24   32   1
  Gen   45   0 166  166  29    0   1
  Grls   0   0   5   13   0    0   0
  Man   30  49  10    9 409    2   0
  None   0   3   0    0   0    8   0
  Uni   36   0   0    0   0    0 136

Variable: SES 
       pre
obs     LoWC MidWC Prof Shop Skil Unsk
  LoWC     7     9   12    0   12    3
  MidWC    1   117   50   45   29    1
  Prof    14    51   78    0   19    1
  Shop    10   125   26  235   60   45
  Skil     7    51   18   54  163   33
  Unsk     0     0    0    0    0   14

Variable: School 
    pre
obs  11 13 15 16 17 18  2 20 23 24 25 26 27 28 29  3 30 32 34 35 36 37  4  5  6
  1   0  0  0  0  1  1  3  1  0  6  2  0  0  2  1  0  6  0  0  0  0  0  1  4  0
  10  0  1  0  2  1  0  4  1  0  6  3  0  0  5  0  1  1  1  0  1  0  0  0  4  0
  11  0  0  0  2  0  0  4  1  0  6  3  0  0  2  0  1  5  0  0  0  0  0  0  6  0
  12  0  0  0  2  0  0 11  0  1  2  5  0  0  2  0  0  4  2  0  1  0  0  1  5  0
  13  0  1  0  1  1  0 15  1  0  7  2  0  0  5  0  2  4  5  0  0  0  1  1  6  0
  14  0  0  0  2  0  0  5  1  0  5  0  0  0  2  0  5  1  6  0  0  0  0  0  2  0
  15  0  0  0  1  0  0  5  0  0  3  6  0  0  6  0  3  1  4  0  0  0  0  1  3  0
  16  1  0  0  3  1  0 13  7  0  1  0  0  0  1  0  8  4 20  0  0  0  0  3  3  0
  17  0  0  2  1  2  0 13  2  0  8  2  0  0  0  1  4  2 14  0  0  1  0  4  0  0
  18  0  0  0  1  0  0  4  1  0  4  5  0  0  1  1  1  1  3  0  0  0  1  1  5  1
  19  0  0  0  0  0  1  3  0  0  5  2  0  0  2  0  4  2  1  0  0  0  0  1  5  0
  2   0  0  0  0  0  0 15  2  0  0  0  1  0  0  1  2  3  7  0  0  0  0  0  2  0
  20  0  0  1  1  0  0  7  1  0  5  0  0  0  1  1  2  2  0  0  0  0  1  0  5  0
  21  0  0  0  1  1  0  3  0  0  5  0  0  0  4  1  1  3  0  0  0  0  0  0  3  0
  22  0  0  0  0  0  0  4  1  0  3  1  0  0  1  1  0  6  4  0  0  0  0  2  4  0
  23  0  0  1  1  0  0  3  4  0  4  1  0  1  2  1  3  1  2  0  0  0  0  1  1  0
  24  0  0  1  0  0  0  3  1  0  9  7  0  0  1  0  1  2  1  0  1  0  2  0  7  0
  25  0  0  2  0  0  0  0  0  0  0  5  0  0  3  0  0  0  1  0  0  0  0  0  0  0
  26  0  0  1  2  1  0  8  0  0  5  1  0  0  1  0  1  3  1  0  0  0  0  0  3  0
  27  0  0  0  2  1  0  3  4  0  0  1  0  0  0  1  0  1  1  0  0  0  0  1  0  0
  28  0  0  0  0  0  0  1  2  0  2  3  0  0  4  0  2  1  2  0  0  0  2  2  6  0
  29  0  1  0  3  1  0  4  1  0  0  1  0  0  1  0  1  1  1  0  0  0  0  0  4  0
  3   0  0  0  2  0  0 12  2  0  2  0  0  0  1  0  1  4  3  0  0  0  0  1  3  0
  30  0  0  0  0  0  0  7  0  0  6  3  0  0  0  0  5  5  0  0  0  0  1  1  4  0
  31  0  0  0  2  1  0 12  2  0  2  1  0  0  4  2  2  5 15  0  0  0  0  0  1  0
  32  0  0  5  2  1  0 11  0  0  3  2  2  0  0  0  2  1 24  0  0  0  2  0  2  0
  33  0  0  0  2  1  0 13  2  0  1  1  0  0  4  1  1  3  6  0  0  0  0  0  2  0
  34  0  0  0  2  0  0 14  1  0  1  0  0  0  2  0  2  5 10  0  0  0  0  0  2  0
  35  0  0  0  0  0  0  6  2  0  5  3  0  0  4  0  5  1  2  0  1  0  1  1  4  0
  36  0  0  1  1  1  0  6  0  0  3  0  0  0  1  1  0  2  0  0  1  0  0  0 10  0
  37  0  0  0  0  0  0  1  0  0  3  3  0  0  0  0  2  1  1  0  0  0  0  0  2  0
  4   1  1  1  6  0  0 16  3  0  5  0  0  0  1  0  4  0 14  1  0  0  0 10  3  0
  5   0  0  0  0  1  1  3  1  0  6  8  0  0  4  0  4  6  0  0  0  0  0  0  5  0
  6   1  1  0  2  0  0  5  1  1  5  3  0  0  1  2  5  9  3  0  0  0  1  2  3  0
  7   1  0  0  3  1  1  6  1  0  6  3  0  0  0  1  3  3  6  0  0  0  0  2  2  0
  8   0  1  0  0  1  0  4  0  0  6  4  0  0  2  0  1  3  4  0  1  0  0  0  4  0
  9   0  1  1  2  0  1 17  0  0  1  1  0  0  3  1  4  6 12  0  0  0  0  0  3  0
    pre
obs   7  8
  1   1  0
  10  0  0
  11  0  0
  12  0  0
  13  0  0
  14  0  0
  15  0  0
  16  0  0
  17  1  0
  18  0  1
  19  0  0
  2   0  0
  20  0  0
  21  3  0
  22  0  0
  23  0  0
  24  0  0
  25  0  0
  26  0  0
  27  0  0
  28  0  0
  29  0  1
  3   0  0
  30  0  0
  31  0  0
  32  0  0
  33  0  0
  34  0  0
  35  0  0
  36  1  0
  37  3  0
  4   0  0
  5   0  0
  6   0  0
  7   0  0
  8   0  0
  9   0  0

homals documentation built on May 2, 2019, 6:51 p.m.