Liren Large Software Subsidy 9

home *** CD-ROM | disk | FTP | other *** search

/ Liren Large Software Subsidy 9 / 09.iso / e / e220 / 7.ddi / ADVTEST.LIS < prev next >

Wrap

File List | 1988-09-20 | 16.4 KB | 388 lines

SPSS/PC+ The Statistical Package for IBM PC 9/20/88 INC 'advtest.inc' title 'Test Job for SPSS/PC+ ADVANCED STATS'. SET LOG OFF. DATA LIST /CASEID 1-2 SURVIVAL 4 TREATMNT 6 TIME 8-10(1) WEIGHT 12-15(3) APGAR 17-18 SEX 20 AGE 22-23 PO2 25-27 PCO2 29-31 PH 33-35(2) RESP 37. VAR LABELS SURVIVAL 'Infant survival' TREATMNT 'Treatment administered' TIME 'Time to spontaneous respiration' WEIGHT 'Birthweight in kilograms' APGAR 'APGAR score' SEX 'Sex of respondent' AGE 'Gestation age' PO2 'O2 level' PCO2 'CO2 level' PH 'PH level' RESP 'Respiratory level'. RECODE SURVIVAL (0=1)(1=2). VALUE LABELS SURVIVAL 1 'Die' 2 'Survive'/ TREATMNT 1 'THAM' 0 'Sodium bicarbonate'/ SEX 1 'Male' 0 'Female'/ RESP 1 'Yes' 0 'No' 9 'No answer'/. MISSING VALUES PCO2(-1)/RESP(9). BEGIN DATA END DATA. 50 cases are written to the uncompressed active file. This procedure was completed at 9:41:17 * next procedure requires that D module be installed. DSCRIMINANT GROUPS=SURVIVAL(1,2) /VARIABLES=TREATMNT TO AGE PH RESP /METHOD=DIRECT Since ANALYSIS= was omitted for the first analysis all variables on the VARIABLES= list will be entered at level 1. /STATISTICS=13 15 /OPTIONS= 6 7. This Discriminant Analysis requires 2240 ( 2.2K) BYTES of workspace. ------------------------------------------------------------------------------- Page 4 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 ------------------------------------------------------------------------------- Page 5 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 - - - - - - - - D I S C R I M I N A N T A N A L Y S I S - - - - - - - - On groups defined by SURVIVAL Infant survival 50 (unweighted) cases were processed. 2 of these were excluded from the analysis. 0 had missing or out-of-range group codes. 2 had at least one missing discriminating variable. 48 (unweighted) cases will be used in the analysis. Number of Cases by Group Number of Cases SURVIVAL Unweighted Weighted Label 1 26 26.0 Die 2 22 22.0 Survive Total 48 48.0 ------------------------------------------------------------------------------- Page 6 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 - - - - - - - - D I S C R I M I N A N T A N A L Y S I S - - - - - - - - On groups defined by SURVIVAL Infant survival Analysis number 1 Direct method: All variables passing the tolerance test are entered. Minimum Tolerance Level.................. .00100 Canonical Discriminant Functions Maximum number of functions.............. 1 Minimum cumulative percent of variance... 100.00 Maximum significance of Wilks' Lambda.... 1.0000 Prior probability for each group is .50000 ------------------------------------------------------------------------------- Page 7 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 Canonical Discriminant Functions Pct of Cum Canonical After Wilks' Fcn Eigenvalue Variance Pct Corr Fcn Lambda Chisquare DF Sig : 0 .6150 20.419 8 .0089 1* .6261 100.00 100.00 .6205 : * marks the 1 canonical discriminant functions remaining in the analysis. Standardized Canonical Discriminant Function Coefficients FUNC 1 TREATMNT .21531 TIME .13170 WEIGHT 1.16789 APGAR .34638 SEX .00337 AGE -.64084 PH .16862 RESP -.58743 ------------------------------------------------------------------------------- Page 8 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 Structure Matrix: Pooled-within-groups correlations between discriminating variables and canonical discriminant functions (Variables ordered by size of correlation within function) FUNC 1 WEIGHT .73338 RESP -.51940 AGE .49290 TREATMNT .26572 PH .25946 APGAR .19210 TIME -.10157 SEX .03738 ------------------------------------------------------------------------------- Page 9 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 Canonical Discriminant Functions evaluated at Group Means (Group Centroids) Group FUNC 1 1 -.71252 2 .84206 Symbols used in Plots Symbol Group Label ------ ----- -------------------- 1 1 Die 2 2 Survive ------------------------------------------------------------------------------- Page 10 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 All-groups stacked Histogram Canonical Discriminant Function 1 4 ┼ 2 1 2 ┼ │ 2 1 2 │ │ 2 1 2 │ │ 2 1 2 │ 3 ┼ 1 11222 2 2 ┼ │ 1 11222 2 2 │ │ 1 11222 2 2 │ │ 1 11222 2 2 │ 2 ┼ 11 211 11111222222 ┼ │ 11 211 11111222222 │ │ 11 211 11111222222 │ │ 11 211 11111222222 │ 1 ┼ 11 1111 111112211222 22 2 ┼ │ 11 1111 111112211222 22 2 │ │ 11 1111 111112211222 22 2 │ │ 11 1111 111112211222 22 2 │ X────┼────┼────┼────┼────┼────┼────┼────X Out -3.0 -2.0 -1.0 .0 1.0 2.0 3.0 Out Class 11111111111111111111122222222222222222222 Centroids 1 2 ------------------------------------------------------------------------------- Page 11 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 Classification Results - No. of Predicted Group Membership Actual Group Cases 1 2 -------------------- ------ -------- -------- Group 1 26 22 4 Die 84.6% 15.4% Group 2 22 4 18 Survive 18.2% 81.8% Percent of "grouped" cases correctly classified: 83.33% Classification Processing Summary 50 Cases were processed. 0 Cases were excluded for missing or out-of-range group codes. 2 Cases had at least one missing discriminating variable. 48 Cases were used for printed output. ------------------------------------------------------------------------------- Page 12 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 This procedure was completed at 9:41:40 * next procedure requires that A module be installed. FACTOR VARIABLES=TIME WEIGHT APGAR AGE PO2 PCO2 PH RESP. This FACTOR analysis requires 9048 ( 8.8K) BYTES of memory. ------------------------------------------------------------------------------- Page 13 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 - - - - F A C T O R A N A L Y S I S - - - - Analysis Number 1 Listwise deletion of cases with missing values Extraction 1 for Analysis 1, Principal-Components Analysis (PC) Initial Statistics: Variable Communality * Factor Eigenvalue Pct of Var Cum Pct * TIME 1.00000 * 1 2.42206 30.3 30.3 WEIGHT 1.00000 * 2 1.47718 18.5 48.7 APGAR 1.00000 * 3 1.25818 15.7 64.5 AGE 1.00000 * 4 1.01589 12.7 77.2 PO2 1.00000 * 5 .81728 10.2 87.4 PCO2 1.00000 * 6 .54343 6.8 94.2 PH 1.00000 * 7 .35329 4.4 98.6 RESP 1.00000 * 8 .11269 1.4 100.0 PC Extracted 4 factors. ------------------------------------------------------------------------------- Page 14 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 - - - - F A C T O R A N A L Y S I S - - - - Factor Matrix: FACTOR 1 FACTOR 2 FACTOR 3 FACTOR 4 TIME -.54266 -.42015 .44781 .08194 WEIGHT .83066 -.00270 .47583 .05426 APGAR .63996 .38394 -.41556 .12160 AGE .87359 .07287 .37918 -.02601 PO2 .27266 -.37670 -.43019 -.39404 PCO2 -.28290 .53628 .54705 -.20996 PH .19165 -.54704 .04586 .71333 RESP -.27161 .64744 -.16833 .53158 ------------------------------------------------------------------------------- Page 15 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 - - - - F A C T O R A N A L Y S I S - - - - Final Statistics: Variable Communality * Factor Eigenvalue Pct of Var Cum Pct * TIME .67826 * 1 2.42206 30.3 30.3 WEIGHT .91936 * 2 1.47718 18.5 48.7 APGAR .74443 * 3 1.25818 15.7 64.5 AGE .91292 * 4 1.01589 12.7 77.2 PO2 .55657 * PCO2 .71098 * PH .84693 * RESP .80386 * ------------------------------------------------------------------------------- Page 16 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 - - - - F A C T O R A N A L Y S I S - - - - Varimax Rotation 1, Extraction 1, Analysis 1 - Kaiser Normalization. Varimax converged in 6 iterations. Rotated Factor Matrix: FACTOR 1 FACTOR 2 FACTOR 3 FACTOR 4 TIME -.13740 -.80114 .08093 .10490 WEIGHT .94393 .13688 -.03103 .09302 APGAR .23200 .82688 .01238 .08199 AGE .91648 .25785 -.07866 .01765 PO2 -.05948 .21512 -.70881 .06593 PCO2 .12894 -.25480 .46091 -.64575 PH .17304 -.16138 .07883 .88585 RESP -.31910 .32973 .77013 .01463 ------------------------------------------------------------------------------- Page 17 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 - - - - F A C T O R A N A L Y S I S - - - - Factor Transformation Matrix: FACTOR 1 FACTOR 2 FACTOR 3 FACTOR 4 FACTOR 1 .77409 .54215 -.26763 .18773 FACTOR 2 .00090 .51218 .63281 -.58072 FACTOR 3 .63306 -.66311 .33187 -.22222 FACTOR 4 -.00541 .06351 .64637 .76036 ------------------------------------------------------------------------------- Page 18 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 This procedure was completed at 9:42:07 Subtitle Non-linear model for windspeed measurement. DATA LIST / X 1-3 Y 5-9. VAR LABELS X 'anomometer height' Y 'windspeed'. BEGIN DATA END DATA. 5 cases are written to the uncompressed active file. This procedure was completed at 9:42:12 * next procedure requires that N module be installed. MODEL PROGRAM A=100 B=7.06 C=-223.26. ------------------------------------------------------------------------------- Page 20 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 NON-LINEAR MODEL FOR WINDSPEED MEASUREMENT This procedure was completed at 9:42:21 COMPUTE PRED=A*LN(B*X+C). NLR Y WITH X/PRED=PRED/SAVE PRED. All the derivatives will be calculated numerically. ------------------------------------------------------------------------------- Page 21 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 NON-LINEAR MODEL FOR WINDSPEED MEASUREMENT There are 5 cases. There is enough memory for them all. Iteration Residual SS A B C 1 6822.703884 100.000000 7.06000000 -223.26000 1.1 3899.279813 107.235597 2.71055158 -18.043743 2 3899.279813 107.235597 2.71055158 -18.043743 2.1 107.8417730 115.003329 2.27328009 -24.273351 3 107.8417730 115.003329 2.27328009 -24.273351 3.1 7.040578209 115.150921 2.30999733 -22.101959 4 7.040578209 115.150921 2.30999733 -22.101959 4.1 7.013266157 115.147444 2.31056594 -22.026921 5 7.013266157 115.147444 2.31056594 -22.026921 5.1 7.013265848 115.146862 2.31064751 -22.028813 6 7.013265848 115.146862 2.31064751 -22.028813 6.1 7.013265848 115.146870 2.31064641 -22.028787 ------------------------------------------------------------------------------- Page 22 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 NON-LINEAR MODEL FOR WINDSPEED MEASUREMENT Run stopped after 12 model evaluations and 6 derivative evaluations. Iterations have been stopped because the relative reduction between successive residual sums of squares is at most SSCON = 1.000E-08 ------------------------------------------------------------------------------- Page 23 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 NON-LINEAR MODEL FOR WINDSPEED MEASUREMENT Nonlinear Regression Summary Statistics Dependent Variable Y Source DF Sum of Squares Mean Square Regression 3 2314527.69673 771509.23224 Residual 2 7.01327 3.50663 Uncorrected Total 5 2314534.71000 (Corrected Total) 4 75525.34800 R squared = 1 - Residual SS / Corrected SS = .99991 Asymptotic 95 % Asymptotic Confidence Interval Parameter Estimate Std. Error Lower Upper A 115.14686999 2.040556318 106.36706478 123.92667520 B 2.310646412 .280311752 1.104562288 3.516730537 C -22.02878660 6.409417923 -49.60628612 5.548712919 ------------------------------------------------------------------------------- Page 24 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 NON-LINEAR MODEL FOR WINDSPEED MEASUREMENT Asymptotic Correlation Matrix of the Parameter Estimates A B C A 1.0000 -.9963 .9666 B -.9963 1.0000 -.9802 C .9666 -.9802 1.0000 ------------------------------------------------------------------------------- Page 25 Test Job for SPSS/PC+ ADVANCED STATS 9/20/88 NON-LINEAR MODEL FOR WINDSPEED MEASUREMENT This procedure was completed at 9:43:16 STOP. End of Include file.