discrimintools.summaryMPCA

discrimintools.summaryMPCA(obj, digits=4, nb_element=10, ncp=3, to_markdown=False, tablefmt='github', **kwargs)

Printing summaries of Mixed Principal Component Analysis model.

Parameters:

• obj (class) – An object of class MPCA.

• digits (int, default = 4) – The number of decimal printed.

• nb_element (int,, default = 10) – Number of element

• ncp (int,, default = 3) – Number of components

• to_markdown (bool, default = False) – To print summaries in markdown-friendly format. Requires the tabulate. package.

• tablefmt (str, default = “github”) – The table format.

• **kwargs – additionals parameters. These parameters will be passed to tabulate.

Return type:

NoneType

See also

summaryGFA

Printing summaries of General Factor Analysis model.

summaryGFALDA

Printing summaries of General Factor Analysis Linear Discriminant Analysis model.

summaryMDA

Printing summaries of Mixed Discriminant Analysis model.

Examples

>>> from discrimintools.datasets import load_heart
>>> from discrimintools import MPCA, summaryMPCA
>>> D = load_heart("subset")
>>> X = D.drop(columns=["disease"])
>>> clf = MPCA()
>>> clf.fit(X)
MPCA()
>>> summaryMPCA(clf)
                    Mixed Principal Component Analysis - Results
Eigenvalues informations:
                         Can1     Can2     Can3     Can4  ...     Can7     Can8     Can9     Can10
Variance               3.5040   2.0055   1.8996   1.3246  ...   0.9318   0.8633   0.7418    0.4526
Difference             1.4985   0.1059   0.5750   0.1522  ...   0.0684   0.1215   0.2892       NaN
% of var.             25.0288  14.3249  13.5684   9.4616  ...   6.6555   6.1667   5.2988    3.2328
Cumulative % of var.  25.0288  39.3536  52.9220  62.3837  ...  85.3017  91.4684  96.7672  100.0000
[4 rows x 10 columns]
Individuals (the 10 first):
     Can1    Can2
0  0.4813 -0.3691
1 -1.5953 -0.7913
2  0.4499  5.0389
3  1.4228  0.1799
4  0.0194 -0.3433
5  0.0610 -0.3194
6 -3.8725  4.3323
7 -2.5126 -0.3472
8 -0.2793 -0.2635
9 -3.4851 -1.5245
Variables (the 10 first):
                   Can1    Can2
age             -0.5010  0.1554
restbpress      -0.3558  0.1148
max_hrate        0.6681  0.0688
asympt          -0.7169 -0.2320
atyp_angina      0.5061  0.1254
non_anginal      0.2706  0.0883
typ_angina       0.1312  0.1470
f                0.3192 -0.9171
t               -0.3192  0.9171
left_vent_hyper  0.0567  0.1085