| hanaml.CovarianceMatrix {hana.ml.r} | R Documentation |
hanaml.CovarianceMatrix is a R wrapper for PAL Multivariate Analysis.
hanaml.CovarianceMatrix(conn.context, data, cols=NULL)
conn.context |
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data |
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cols |
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Computes Covriance matrix between any two data samples (columns)
covariance.matrix : Dataframe
Dataframe containing the covariance between any two data samples(columns).
structured as follows:
ID, type NVARCHAR. The values of this column are the column names
from cols.
Covariance columns, type DOUBLE, named after the columns in 'cols'.
The covariance between variables X and Y is in column X, in the
row with ID value Y.
## Not run:
> df
X Y Z
1 1 2.4 5.1
2 5 3.5 6.2
3 3 8.9 8.3
4 10 -1.4 9.4
5 -4 -3.5 11.5
6 11 32.8 12.6
> hanaml.CovarianceMatrix(conn, data = df)
ID X Y Z
1 X 31.86667 44.47333 3.500
2 Y 44.47333 176.67767 17.957
3 Z 3.50000 17.95700 8.555
> hanaml.CovarianceMatrix(conn, data = df, cols = list('X', 'Y'))
ID X Y
1 X 31.86667 44.47333
2 Y 44.47333 176.67767
## End(Not run)