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STATISTIC MISSING VALUEName:
In computing a simple statistic LET sub-command such as
it is relatively easy to omit missing values with a SUBSET clause. For example
You can also do this with the commands
Although in this simple case there is no need to use the SET STATISTIC MISSING VALUE, there are 20+ commands (such as CROSS TABULATE, STATISTIC PLOT) that utilize the built-in statistics. In these cases, using the SET STATISTIC MISSING VALUE can be more convenient than using the SUBSET clause. Enter HELP STATISTICS for a list of built-in statistics and the commands that can utilize them.
where <value> is a number or parameter that specifies a value that will be interpreted as a missing value code.
SET STATISTIC MISSING VALUE -1
read matrix m 2 4 7 -9999 2 -9999 2 3 1 2 -9999 3 end of data . set statistic missing value -9999 . let meanv = matrix row mean m . set write decimals 3 print meanvThe following output is generated. --------------- MEANV --------------- 4.333 2.333 2.000Program 2: let n1 = 105 let n2 = 192 let n3 = 145 let n = n1 + n2 + n3 let x = 3 for i = 1 1 n let x = 1 for i = 1 1 n1 let istrt = n1 + 1 let istop = n1 + n2 let x = 2 for i = istrt 1 istop . set statistic missing value -99 . . Group 1 values . let y1 = 0 for i = 1 1 n let y2 = 0 for i = 1 1 n let y1 = 1 for i = 1 1 81 let y2 = 1 for i = 1 1 34 . . Group 2 values (have unequal samples here, so fill . with missing values . let istrt = n1 + 1 let istop1 = istrt + 118 - 1 let istop2 = istrt + 69 - 1 let y1 = 1 for i = istrt 1 istop1 let y2 = 1 for i = istrt 1 istop2 let istrt2 = n1 + 174 + 1 let istop2 = n1 + n2 let y2 = -99 for i = istrt2 1 istop2 . . Group 3 values . let istrt = n1 + n2 + 1 let istop1 = istrt + 82 - 1 let istop2 = istrt + 52 - 1 let y1 = 1 for i = istrt 1 istop1 let y2 = 1 for i = istrt 1 istop2 . odds ratio chi-square test y1 y2 xThe following output is generated. Summary of Log(Odds Ratio) --------------------------------------------------------------------------------------------- | Log of Standard | Odds Ratio Odds Ratio Error 1/SE(L(i))**2 w(i)* Group | O(i) L(i) SE(L(i)) w(i) L(i)**2 --------------------------------------------------------------------------------------------- 1 | 6.894114 1.930668 0.3099319 10.41040 38.80455 2 | 2.414514 0.8814980 0.2138429 21.86806 16.99233 3 | 2.313836 0.8389067 0.2400251 17.35748 12.21558 --------------------------------------------------------------------------------------------- Total | 49.63594 68.01245 Chi-Square Analysis of Log(Odds Ratio) Number of Groups: 3 Estimate of Combined Log(Odds Ratio): 1.086652 Standard Error of Combined Log(Odds Ratio): 0.1419390 Chi-Square Test Statistic (Total): 68.01245 Degrees of Freeedom: 3 CDF of Test Statistic: 1.000000 Chi-Square Test Statistic (Association): 58.61072 Degrees of Freedom: 1 CDF of Test Statistic: 1.000000 Chi-Square Test Statistic (Homogeneity): 9.401734 Degrees of Freedom: 2 CDF of Test Statistic: 0.9978321 Chi-Square Test for Consistency of Association (Homogeneity) --------------------------------------------------------------------------- Null Hypothesis Null Null Confidence Critical Acceptance Hypothesis Hypothesis Level Value Interval Conclusion --------------------------------------------------------------------------- Consistent 50.0% 1.39 (0,0.500) REJECT Consistent 80.0% 3.22 (0,0.800) REJECT Consistent 90.0% 4.61 (0,0.900) REJECT Consistent 95.0% 5.99 (0,0.950) REJECT Consistent 97.5% 7.38 (0,0.975) REJECT Consistent 99.0% 9.21 (0,0.990) REJECT Chi-Square Test for Overall Degree of Association --------------------------------------------------------------------------- Null Hypothesis Null Null Confidence Critical Acceptance Hypothesis Hypothesis Level Value Interval Conclusion --------------------------------------------------------------------------- No Association 50.0% 0.45 (0,0.500) REJECT No Association 80.0% 1.64 (0,0.800) REJECT No Association 90.0% 2.71 (0,0.900) REJECT No Association 95.0% 3.84 (0,0.950) REJECT No Association 97.5% 5.02 (0,0.975) REJECT No Association 99.0% 6.63 (0,0.990) REJECT Large Sample Confidence Interval for Log(Odds Ratio) --------------------------------------------------------------------------------------------------------- Log(Odds Ratio) Odds Ratio ( 1.086652 ) ( 2.964332 ) Confidence Lower Upper Lower Upper Value (%) Limit Limit Limit Limit --------------------------------------------------------------------------------------------------------- 50.00 0.9909154 1.182388 2.693699 3.262156 80.00 0.9047496 1.268554 2.471313 3.555707 90.00 0.8531829 1.320121 2.347105 3.743874 95.00 0.8084564 1.364847 2.244441 3.915125 97.50 0.7685093 1.404794 2.156549 4.074689 99.00 0.7210411 1.452263 2.056573 4.272771
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Date created: 06/04/2016 |