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Script started on Sun Nov 13 20:44:37 2005
jakson@:src$ ./statist gss94.dat --labels gss94.labels
STATIST --- Version 1.3.2
(C) Dirk Melcher 1997-1999
(C) Bernhard Reiter 1998-2005.
(C) Jakson Aquino 2005
STATIST comes with ABSOLUTELY NO WARRANTY; it is Free Software under GNU GPL.
Read the file COPYING for details.
Hint: You can often answer "all" for the number of columns.
Column 1 = degree
Column 2 = sex
Column 3 = abdefect
Column 4 = abnomore
Column 5 = abhlth
Column 6 = abpoor
Column 7 = abrape
Column 8 = absingle
Reading 8 columns ...
Read data sets:
Column degree: 2992
Column sex: 2992
Column abdefect: 2992
Column abnomore: 2992
Column abhlth: 2992
Column abpoor: 2992
Column abrape: 2992
Column absingle: 2992
--- Please, continue with <RETURN> ... ---
MAIN MENU:
0 = Quit
1 = Data management
2 = Regressions and correlations
3 = Tests
4 = Miscellaneous
5 = Data manipulation
6 = Preferences
Your choice: 7
> statist-error
Illegal instruction!
================================================
MAIN MENU:
0 = Quit
1 = Data management
2 = Regressions and correlations
3 = Tests
4 = Miscellaneous
5 = Data manipulation
6 = Preferences
Your choice: 1
================================================
DATA MANAGEMENT:
0 = Main menu
1 = List data of columns
2 = Read another file
3 = List names of columns
4 = Rename column
5 = Read column from terminal
6 = Export columns as ASCII-data
7 = Export data base as fixed width data file
Your choice: 3
Include value labels? (y/N) y
Column 1 = degree : Rs highest degree
0 Lt high school
1 High school
2 Junior college
3 Bachelor
4 Graduate
Column 2 = sex : Respondents sex
0 Male
1 Female
Column 3 = abdefect : Strong chance of serious defect
1 Yes
0 No
Column 4 = abnomore : Married--wants no more children
1 Yes
0 No
Column 5 = abhlth : Womans health seriously endangered
1 Yes
0 No
Column 6 = abpoor : Low income--cant afford more children
1 Yes
0 No
Column 7 = abrape : Pregnant as result of rape
1 Yes
0 No
Column 8 = absingle : Not married
1 Yes
0 No
--- Please, continue with <RETURN> ... ---
DATA MANAGEMENT:
0 = Main menu
1 = List data of columns
2 = Read another file
3 = List names of columns
4 = Rename column
5 = Read column from terminal
6 = Export columns as ASCII-data
7 = Export data base as fixed width data file
Your choice: 1
Columns:
degree sex abdefect abnomore abhlth abpoor abrape absingle
Column for variable 1: s
Column for variable 2: d
Column for variable 3: abd
Column for variable 4:
Data from columns:
sex degree abdefect
1: Female High schoo M
2: Male High schoo M
3: Female Lt high sc M
4: Male Lt high sc M
5: Female High schoo Yes
6: Female High schoo No
7: Female Lt high sc No
8: Male High schoo M
9: Female High schoo Yes
10: Female High schoo Yes
11: Female Lt high sc M
12: Female Graduate M
13: Male Bachelor M
14: Male Bachelor Yes
15: Male Graduate Yes
16: Female Bachelor Yes
17: Female Graduate M
18: Female Bachelor Yes
19: Male High schoo Yes
20: Male Bachelor Yes
21: Male Bachelor Yes
---> Please, choose: <RETURN> to continue,
<Any letter> to stop, or a row number: 500
sex degree abdefect
500: Male Lt high sc No
501: Female High schoo Yes
502: Male High schoo Yes
503: Female High schoo Yes
504: Male Lt high sc No
505: Female Lt high sc M
506: Female Lt high sc No
507: Female High schoo M
508: Male High schoo No
509: Female Junior col M
510: Female High schoo M
511: Female High schoo Yes
512: Male High schoo Yes
513: Female High schoo M
514: Female Bachelor M
515: Female Junior col Yes
516: Male High schoo Yes
517: Male High schoo Yes
518: Female Lt high sc Yes
519: Female Bachelor M
520: Female Lt high sc Yes
---> Please, choose: <RETURN> to continue,
<Any letter> to stop, or a row number: q
--- Please, continue with <RETURN> ... ---
DATA MANAGEMENT:
0 = Main menu
1 = List data of columns
2 = Read another file
3 = List names of columns
4 = Rename column
5 = Read column from terminal
6 = Export columns as ASCII-data
7 = Export data base as fixed width data file
Your choice:
================================================
MAIN MENU:
0 = Quit
1 = Data management
2 = Regressions and correlations
3 = Tests
4 = Miscellaneous
5 = Data manipulation
6 = Preferences
Your choice: 4
================================================
MISCELLANEOUS:
0 = Main menu
1 = Standard deviation, mean, median, etc.
2 = Probit analysis
3 = Outliers & Box-Whisker-plot
4 = Percentiles
5 = Frequency table
6 = Compare means
9 = Enter gnuplot commands
Your choice: 1
Columns:
degree sex abdefect abnomore abhlth abpoor abrape absingle
Column name: de
10 rows with missing values were deleted for this analysis
Number of classes (0 or RETURN for auto):
Minimum (0.000000):
Maximum (4.000000):
Discrete data with exactly 5 classes!
Creating gnuplot-graphic ...
Result general statistical information:
Count : 2982
Mean : 1.43964 [1.39784, 1.48144] (95%)
Median : 1 [1, 1] (95%)
25% quartile : 1
75% quartile : 2
Standard deviation : 1.16396
Variation coefficient : 80.850564 %
Standard error of mean : 0.0213149
Minimum : 0
Maximum : 4
--- Please, continue with <RETURN> ... ---
MISCELLANEOUS:
0 = Main menu
1 = Standard deviation, mean, median, etc.
2 = Probit analysis
3 = Outliers & Box-Whisker-plot
4 = Percentiles
5 = Frequency table
6 = Compare means
9 = Enter gnuplot commands
Your choice: 5
Columns:
degree sex abdefect abnomore abhlth abpoor abrape absingle
Column name: deg
Frequencies: Rs highest degree
=============================================================
Value N % Valid % Cum. % V. Cum. %
-------------------------------------------------------------
Missing 10 0.33 --- 0.33 ---
Lt high school 507 16.95 17.00 17.28 17.00
High school 1586 53.01 53.19 70.29 70.19
Junior college 176 5.88 5.90 76.17 76.09
Bachelor 497 16.61 16.67 92.78 92.76
Graduate 216 7.22 7.24 100.00 100.00
=============================================================
--- Please, continue with <RETURN> ... ---
MISCELLANEOUS:
0 = Main menu
1 = Standard deviation, mean, median, etc.
2 = Probit analysis
3 = Outliers & Box-Whisker-plot
4 = Percentiles
5 = Frequency table
6 = Compare means
9 = Enter gnuplot commands
Your choice: 6
Please select columns to compare means,
(the first one will be taken as y-value)
Columns:
degree sex abdefect abnomore abhlth abpoor abrape absingle
Column for variable 1: s
Column for variable 2: d
Column for variable 3: abs
Column for variable 4: abp
Column for variable 5:
Comparison of means: Respondents sex
===============================================================================
sex degree absingle abpoor
------------- --------------------- -------------------- --------------------
value N mean sdev N mean sdev N mean sdev N
-------------------------------------------------------------------------------
Male 1290 1.4875 1.1991 1284 0.4835 0.5000 850 0.5030 0.5003 845
Female 1702 1.4034 1.1357 1698 0.4706 0.4994 1088 0.5056 0.5002 1080
===============================================================================
--- Please, continue with <RETURN> ... ---
MISCELLANEOUS:
0 = Main menu
1 = Standard deviation, mean, median, etc.
2 = Probit analysis
3 = Outliers & Box-Whisker-plot
4 = Percentiles
5 = Frequency table
6 = Compare means
9 = Enter gnuplot commands
Your choice:
================================================
MAIN MENU:
0 = Quit
1 = Data management
2 = Regressions and correlations
3 = Tests
4 = Miscellaneous
5 = Data manipulation
6 = Preferences
Your choice: 2
================================================
REGRESSION &am; CORRELATION:
0 = Main menu
1 = Linear regression and correlation
2 = SPEARMAN rank-correlation-coefficient
3 = Multiple linear correlation
4 = Partial linear correlation (maximum: 5 variables)
5 = Polynomial regression
6 = Matrix of the linear correlation coefficients
7 = Matrix of SPEARMAN correlation coefficients
8 = Point-biserial (linear) correlation
9 = Cross-validation of multiple linear regression
10 = Randomization of multiple linear regression
Your choice: 3
First selected column will be taken as y-value!
Columns:
degree sex abdefect abnomore abhlth abpoor abrape absingle
Column for variable 1: d
Column for variable 2: s
Column for variable 3: abh
Column for variable 4:
1061 rows with missing values were deleted for this analysis
y = Column degree
x[1] = Column sex
x[2] = Column abhlth
Results multiple linear regression:
Regressed equation: y = B[0] + B[1]*x[1] + B[2]*x[2] +...+ B[n]*x[n]
B[0] = 1.172210
B[1] = -0.068943
B[2] = 0.316486
Creating gnuplot-graphic ...
New column resi created!
Coefficient of determination r^2 = 0.007419
Correlation coefficient r = 0.086132
Standard deviation s = 1.142750
Number of data points n = 1931
F-value = 7.205109
Degree of freedom f1 = 2
Degree of freedom f2 = 1928
F-Test:
Hypothesis H0: r=0 against hypothesis H1: r#0
Probability of H0: 0.0011
--- Please, continue with <RETURN> ... ---
REGRESSION & CORRELATION:
0 = Main menu
1 = Linear regression and correlation
2 = SPEARMAN rank-correlation-coefficient
3 = Multiple linear correlation
4 = Partial linear correlation (maximum: 5 variables)
5 = Polynomial regression
6 = Matrix of the linear correlation coefficients
7 = Matrix of SPEARMAN correlation coefficients
8 = Point-biserial (linear) correlation
9 = Cross-validation of multiple linear regression
10 = Randomization of multiple linear regression
Your choice:
================================================
MAIN MENU:
0 = Quit
1 = Data management
2 = Regressions and correlations
3 = Tests
4 = Miscellaneous
5 = Data manipulation
6 = Preferences
Your choice: 0
================================================
Removing temporary files ... done
jakson@:src$ exit
Script done on Sun Nov 13 20:50:02 2005
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