dataSets¶

Retrieves a commonly analyzed data set.

Synopsis¶

dataSets (dataSetChoice)

Required Arguments¶

int dataSetChoice (Input): Data set indicator. Set dataSetChoice = 0 to print a description of all fourteen data sets. In this case, any optional arguments are ignored.

dataSetChoice	`nObservations`	`nVariables`	Description of Data Set
1	16	7	Longley
2	176	2	Wolfer sunspot
3	150	5	Fisher iris
4	144	1	Box and Jenkins Series G
5	13	5	Draper and Smith Appendix B
6	197	1	Box and Jenkins Series A
7	296	2	Box and Jenkins Series J
8	100	4	Robinson Multichannel Time Series
9	113	34	Afifi and Azen Data Set A
10	958	10	Tic-Tac-Toe Endgame
11	4601	58	Spambase Data Set
12	690	16	Credit Approval
13	20000	17	Letter Recognition Data
14	366	35	Dermatology Database

Return Value¶

If dataSetChoice ≠ 0, the requested data set is returned. If dataSetChoice = 0 or an error occurs, None is returned.

Optional Arguments¶

nObservations (Output): Number of observations or rows in the output matrix.
nVariables (Output): Number of variables or columns in the output matrix.
printNone: No printing is performed. This option is the default.
printBrief: Rows 1 through 10 of the data set are printed.
printAll: All rows of the data set are printed.

Description¶

Function dataSets retrieves a standard data set frequently cited in statistics text books or in this manual. The following table gives the references for each data set:

`dataSetChoice`	Reference
1	Longley (1967)
2	Anderson (1971, p.660)
3	Fisher (1936); Mardia et al. (1979, Table 1.2.2)
4	Box and Jenkins (1976, p. 531)
5	Draper and Smith (1981, pp. 629-630)
6	Box and Jenkins (1976, p. 525)
7	Box and Jenkins (1976, pp. 532-533)
8	Robinson (1976, p. 204)
9	Afifi and Azen (1979, pp. 16-22)
10	Aha, D. W. (1991, pp. 117-121), and Asuncion, A. & Newman, D.J. (2007)
11	Asuncion, A. & Newman, D.J. (2007)
12	Quinlan (1987, pp. 221-234, 1997), and Asuncion, A. & Newman, D.J. (2007)
13	P. W. Frey and D. J. Slate, (Machine Learning Vol 6 #2 March 91), and Asuncion, A. & Newman, D.J. (2007)
14	G. Demiroz, H. A. Govenir, and N. Ilter, (Artificial Intelligence in Medicine ), and Asuncion, A. & Newman, D.J. (2007)

Example¶

In this example, dataSets is used to copy the Draper and Smith (1981, Appendix B) data set into x.

from pyimsl.stat.dataSets import dataSets
from pyimsl.stat.writeMatrix import writeMatrix

x = dataSets(5)
writeMatrix("Draper and Smith, Appendix B", x)

Output¶

 
                   Draper and Smith, Appendix B
              1            2            3            4            5
        7.0         26.0          6.0         60.0         78.5
        1.0         29.0         15.0         52.0         74.3
       11.0         56.0          8.0         20.0        104.3
       11.0         31.0          8.0         47.0         87.6
        7.0         52.0          6.0         33.0         95.9
       11.0         55.0          9.0         22.0        109.2
        3.0         71.0         17.0          6.0        102.7
        1.0         31.0         22.0         44.0         72.5
        2.0         54.0         18.0         22.0         93.1
       21.0         47.0          4.0         26.0        115.9
        1.0         40.0         23.0         34.0         83.8
       11.0         66.0          9.0         12.0        113.3
       10.0         68.0          8.0         12.0        109.4