+dnl PSPP - a program for statistical analysis.
+dnl Copyright (C) 2017, 2019 Free Software Foundation, Inc.
+dnl
+dnl This program is free software: you can redistribute it and/or modify
+dnl it under the terms of the GNU General Public License as published by
+dnl the Free Software Foundation, either version 3 of the License, or
+dnl (at your option) any later version.
+dnl
+dnl This program is distributed in the hope that it will be useful,
+dnl but WITHOUT ANY WARRANTY; without even the implied warranty of
+dnl MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+dnl GNU General Public License for more details.
+dnl
+dnl You should have received a copy of the GNU General Public License
+dnl along with this program. If not, see <http://www.gnu.org/licenses/>.
+dnl
AT_BANNER([EXAMINE])
AT_SETUP([EXAMINE])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [
DATA LIST LIST /QUALITY * W * BRAND * .
BEGIN DATA
/STATISTICS descriptives extreme(3)
.
])
-AT_CHECK([pspp -o pspp.csv examine.sps])
+
+
dnl In the following data, only the extreme values have been checked.
dnl The descriptives have been blindly pasted.
-AT_CHECK([cat pspp.csv], [0], [dnl
+AT_CHECK([pspp -O format=csv examine.sps], [0], [dnl
Table: Reading free-form data from INLINE.
Variable,Format
QUALITY,F8.0
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-Breaking Strain,24.00,100%,.00,0%,24.00,100%
+Breaking Strain,24.00,100.0%,.00,.0%,24.00,100.0%
Table: Extreme Values
,,,Case Number,Value
,,2,16,6.00
,,3,14,5.00
,Lowest,1,3,1.00
-,,2,3,1.00
-,,3,4,1.00
+,,2,4,1.00
+,,3,2,2.00
Table: Descriptives
,,,Statistic,Std. Error
,Kurtosis,,-.36,.92
Table: Case Processing Summary
-,,Cases,,,,,
+,Manufacturer,Cases,,,,,
,,Valid,,Missing,,Total,
-,Manufacturer,N,Percent,N,Percent,N,Percent
-Breaking Strain,Aspeger,8.00,100%,.00,0%,8.00,100%
-,Bloggs,8.00,100%,.00,0%,8.00,100%
-,Charlies,8.00,100%,.00,0%,8.00,100%
+,,N,Percent,N,Percent,N,Percent
+Breaking Strain,Aspeger,8.00,100.0%,.00,.0%,8.00,100.0%
+,Bloggs,8.00,100.0%,.00,.0%,8.00,100.0%
+,Charlies,8.00,100.0%,.00,.0%,8.00,100.0%
Table: Extreme Values
,Manufacturer,,,Case Number,Value
,,,2,5,4.00
,,,3,1,3.00
,,Lowest,1,3,1.00
-,,,2,3,1.00
-,,,3,4,1.00
+,,,2,4,1.00
+,,,3,2,2.00
,Bloggs,Highest,1,7,5.00
,,,2,9,4.00
-,,,3,9,4.00
+,,,3,11,3.00
,,Lowest,1,8,2.00
,,,2,10,2.00
,,,3,11,3.00
,,,3,14,5.00
,,Lowest,1,15,3.00
,,,2,13,4.00
-,,,3,13,4.00
+,,,3,14,5.00
Table: Descriptives
,Manufacturer,,,Statistic,Std. Error
,,Skewness,,.30,.75
,,Kurtosis,,.15,1.48
])
+
AT_CLEANUP
AT_SETUP([EXAMINE -- extremes])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
data list free /V1 W
begin data.
weight by w.
-examine v1
+examine v1
/statistics=extreme(6)
.
])
-AT_CHECK([pspp -o pspp.csv examine.sps])
-AT_CHECK([cat pspp.csv], [0], [dnl
+
+AT_CHECK([pspp -O format=csv examine.sps], [0],[dnl
Table: Case Processing Summary
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-V1,23.00,100%,.00,0%,23.00,100%
+V1,23.00,100.0%,.00,.0%,23.00,100.0%
Table: Extreme Values
,,,Case Number,Value
V1,Highest,1,21,20.00
,,2,20,19.00
,,3,19,18.00
-,,4,19,18.00
-,,5,18,17.00
-,,6,17,16.00
+,,4,18,17.00
+,,5,17,16.00
+,,6,16,15.00
,Lowest,1,1,1.00
,,2,2,2.00
,,3,3,3.00
-,,4,3,3.00
-,,5,4,3.00
-,,6,5,4.00
+,,4,4,3.00
+,,5,5,4.00
+,,6,6,5.00
])
+
+AT_CLEANUP
+
+
+AT_SETUP([EXAMINE -- extremes with fractional weights])
+AT_KEYWORDS([categorical categoricals])
+AT_DATA([extreme.sps], [dnl
+set format=F20.3.
+data list notable list /w * x *.
+begin data.
+ 0.88 300000
+ 0.86 320000
+ 0.98 480000
+ 0.93 960000
+ 1.35 960000
+ 1.31 960000
+ 0.88 960000
+ 0.88 1080000
+ 0.88 1080000
+ 0.95 1200000
+ 1.47 1200000
+ 0.93 1200000
+ 0.98 1320000
+ 1.31 1380000
+ 0.93 1440000
+ 0.88 1560000
+ 1.56 1560000
+ 1.47 1560000
+end data.
+
+weight by w.
+
+
+EXAMINE
+ x
+ /STATISTICS = DESCRIPTIVES EXTREME (5)
+ .
+])
+
+AT_CHECK([pspp -O format=csv extreme.sps], [0], [dnl
+Table: Case Processing Summary
+,Cases,,,,,
+,Valid,,Missing,,Total,
+,N,Percent,N,Percent,N,Percent
+x,19.430,100.0%,.000,.0%,19.430,100.0%
+
+Table: Extreme Values
+,,,Case Number,Value
+x,Highest,1,18,1560000.000
+,,2,17,1560000.000
+,,3,16,1560000.000
+,,4,15,1440000.000
+,,5,14,1380000.000
+,Lowest,1,1,300000.000
+,,2,2,320000.000
+,,3,3,480000.000
+,,4,4,960000.000
+,,5,5,960000.000
+
+Table: Descriptives
+,,,Statistic,Std. Error
+x,Mean,,1120010.293,86222.178
+,95% Confidence Interval for Mean,Lower Bound,939166.693,
+,,Upper Bound,1300853.894,
+,5% Trimmed Mean,,1141017.899,
+,Median,,1200000.000,
+,Variance,,144447748124.869,
+,Std. Deviation,,380062.821,
+,Minimum,,300000.000,
+,Maximum,,1560000.000,
+,Range,,1260000.000,
+,Interquartile Range,,467258.065,
+,Skewness,,-.887,.519
+,Kurtosis,,.340,1.005
+])
+
AT_CLEANUP
dnl Test the PERCENTILES subcommand of the EXAMINE command.
-dnl In particular test that it behaves properly when there are only
+dnl In particular test that it behaves properly when there are only
dnl a few cases.
AT_SETUP([EXAMINE -- percentiles])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
DATA LIST LIST /X *.
BEGIN DATA.
-2.00
-8.00
-5.00
+2.00
+8.00
+5.00
END DATA.
EXAMINE /x
EXAMINE /x
/PERCENTILES=AEMPIRICAL.
])
-AT_CHECK([pspp -o pspp.csv examine.sps])
+AT_CHECK([pspp -o pspp.csv -o pspp.txt examine.sps])
AT_CHECK([cat pspp.csv], [0], [dnl
Table: Reading free-form data from INLINE.
Variable,Format
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-X,3,100%,0,0%,3,100%
+X,3,100.0%,0,.0%,3,100.0%
Table: Percentiles
,,Percentiles,,,,,,
,,5,10,25,50,75,90,95
-X,HAverage,.40,.80,2.00,5.00,8.00,8.00,8.00
+X,Weighted Average,.40,.80,2.00,5.00,8.00,8.00,8.00
,Tukey's Hinges,,,3.50,5.00,6.50,,
Table: Case Processing Summary
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-X,3,100%,0,0%,3,100%
+X,3,100.0%,0,.0%,3,100.0%
Table: Percentiles
,,Percentiles,,,,,,
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-X,3,100%,0,0%,3,100%
+X,3,100.0%,0,.0%,3,100.0%
Table: Percentiles
,,Percentiles,,,,,,
,,5,10,25,50,75,90,95
-X,Rounded,.00,.00,2.00,5.00,5.00,8.00,8.00
+X,Weighted Average,.00,.00,2.00,5.00,5.00,8.00,8.00
,Tukey's Hinges,,,3.50,5.00,6.50,,
Table: Case Processing Summary
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-X,3,100%,0,0%,3,100%
+X,3,100.0%,0,.0%,3,100.0%
Table: Percentiles
,,Percentiles,,,,,,
,,5,10,25,50,75,90,95
-X,Empirical,2.00,2.00,2.00,5.00,8.00,8.00,8.00
+X,Weighted Average,2.00,2.00,2.00,5.00,8.00,8.00,8.00
,Tukey's Hinges,,,3.50,5.00,6.50,,
Table: Case Processing Summary
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-X,3,100%,0,0%,3,100%
+X,3,100.0%,0,.0%,3,100.0%
Table: Percentiles
,,Percentiles,,,,,,
,,5,10,25,50,75,90,95
-X,Empirical with averaging,2.00,2.00,2.00,5.00,8.00,8.00,8.00
+X,Weighted Average,2.00,2.00,2.00,5.00,8.00,8.00,8.00
,Tukey's Hinges,,,3.50,5.00,6.50,,
])
AT_CLEANUP
AT_SETUP([EXAMINE -- missing values])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
DATA LIST LIST /x * y *.
BEGIN DATA.
-1 1
+1 1
2 1
3 1
4 1
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-x,6,85.7143%,1,14.2857%,7,100%
+x,6,85.7%,1,14.3%,7,100.0%
Table: Case Processing Summary
-,,Cases,,,,,
+,y,Cases,,,,,
,,Valid,,Missing,,Total,
-,y,N,Percent,N,Percent,N,Percent
-x,1.00,4,100%,0,0%,4,100%
-,2.00,2,66.6667%,1,33.3333%,3,100%
+,,N,Percent,N,Percent,N,Percent
+x,1.00,4,100.0%,0,.0%,4,100.0%
+,2.00,2,66.7%,1,33.3%,3,100.0%
])
AT_CLEANUP
AT_SETUP([EXAMINE -- user missing values])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine-m.sps], [dnl
DATA LIST notable LIST /x * y *.
BEGIN DATA.
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-x,1,33.3333%,2,66.6667%,3,100%
-y,2,66.6667%,1,33.3333%,3,100%
+x,1,33.3%,2,66.7%,3,100.0%
+y,2,66.7%,1,33.3%,3,100.0%
])
AT_CLEANUP
AT_SETUP([EXAMINE -- missing values and percentiles])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
DATA LIST LIST /X *.
BEGIN DATA.
dnl Tests the trimmed mean calculation in the case
dnl where the data is weighted towards the centre.
AT_SETUP([EXAMINE -- trimmed mean])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
DATA LIST LIST /X * C *.
BEGIN DATA.
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-X,52.00,100%,.00,0%,52.00,100%
+X,52.00,100.0%,.00,.0%,52.00,100.0%
Table: Descriptives
,,,Statistic,Std. Error
AT_CLEANUP
AT_SETUP([EXAMINE -- crash bug])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
data list list /a * x * y *.
begin data.
examine a by x by y
/statistics=DESCRIPTIVES
- .
+ .
])
AT_CHECK([pspp -o pspp.csv examine.sps])
dnl Ignore output -- this is just a no-crash check.
dnl Test that two consecutive EXAMINE commands don't crash PSPP.
AT_SETUP([EXAMINE -- consecutive runs don't crash])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
data list list /y * z *.
begin data.
EXAMINE /VARIABLES= z BY y.
-EXAMINE /VARIABLES= z.
+EXAMINE /VARIABLES= z.
])
AT_CHECK([pspp -o pspp.csv examine.sps])
dnl Ignore output -- this is just a no-crash check.
dnl Test that /DESCRIPTIVES does not crash in presence of missing values.
AT_SETUP([EXAMINE -- missing values don't crash])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
data list list /x * y *.
begin data.
3 1
4 1
end data.
-examine x by y /statistics=descriptives.
+examine x by y /statistics=descriptives.
])
AT_CHECK([pspp -o pspp.csv examine.sps])
dnl Ignore output -- this is just a no-crash check.
dnl Test that having only a single case doesn't crash.
AT_SETUP([EXAMINE -- single case doesn't crash])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
DATA LIST LIST /quality * .
BEGIN DATA
-3
+3
END DATA
EXAMINE
- quality
- /STATISTICS descriptives
+ quality
+ /STATISTICS descriptives
/PLOT = histogram
.
])
-AT_CHECK([pspp -o pspp.csv examine.sps])
+AT_CHECK([pspp -o pspp.csv examine.sps], [0], [ignore])
dnl Ignore output -- this is just a no-crash check.
AT_CLEANUP
dnl Test that all-missing data doesn't crash.
AT_SETUP([EXAMINE -- all-missing data doesn't crash])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine.sps], [dnl
DATA LIST LIST /x *.
BEGIN DATA.
.
END DATA.
-EXAMINE /x PLOT=HISTOGRAM.
+EXAMINE /x
+ PLOT=HISTOGRAM BOXPLOT NPPLOT SPREADLEVEL(1) ALL
+ /ID=x
+ /STATISTICS = DESCRIPTIVES EXTREME (5) ALL
+ /PERCENTILE=AEMPIRICAL
+ .
])
AT_CHECK([pspp -o pspp.csv examine.sps], [0], [ignore])
dnl Ignore output -- this is just a no-crash check.
dnl Test that big input doesn't crash (bug 11307).
AT_SETUP([EXAMINE -- big input doesn't crash])
+AT_KEYWORDS([categorical categoricals slow])
AT_DATA([examine.sps], [dnl
INPUT PROGRAM.
LOOP #I=1 TO 50000.
dnl Another test that big input doesn't crash.
dnl The actual bug that this checks for has been lost.
AT_SETUP([EXAMINE -- big input doesn't crash 2])
-AT_DATA([make-big-input.pl],
- [for ($i=0; $i<100000; $i++) { print "AB12\n" };
- for ($i=0; $i<100000; $i++) { print "AB04\n" };
-])
-AT_CHECK([$PERL make-big-input.pl > large.txt])
+AT_KEYWORDS([categorical categoricals slow])
+AT_CHECK([$PYTHON3 -c '
+for i in range(100000): print("AB12")
+for i in range(100000): print("AB04")
+' > large.txt])
AT_DATA([examine.sps], [dnl
DATA LIST FILE='large.txt' /S 1-2 (A) X 3 .
])
AT_CHECK([pspp -o pspp.csv examine.sps])
dnl Ignore output -- this is just a no-crash check.
-AT_DATA([more-big-input.pl],
- [for ($i=0; $i<25000; $i++) { print "AB04\nAB12\n" };
-])
-AT_CHECK([$PERL more-big-input.pl >> large.txt])
+AT_CHECK([$PYTHON3 -c 'for i in range(25000): print("AB04\nAB12")' >> large.txt])
AT_CHECK([pspp -o pspp.csv examine.sps])
dnl Ignore output -- this is just a no-crash check.
AT_CLEANUP
dnl Test that the ID command works with non-numberic variables
AT_SETUP([EXAMINE -- non-numeric ID])
+AT_KEYWORDS([categorical categoricals])
AT_DATA([examine-id.sps], [dnl
data list notable list /x * y (a12).
300 threehundred
end data.
+set small=0.
examine x
/statistics = extreme
/id = y
.
])
-AT_CHECK([pspp -O format=csv examine-id.sps], [0],
-[Table: Case Processing Summary
+AT_CHECK([pspp -O format=csv examine-id.sps], [0], [dnl
+Table: Case Processing Summary
,Cases,,,,,
,Valid,,Missing,,Total,
,N,Percent,N,Percent,N,Percent
-x,14,100%,0,0%,14,100%
+x,14,100.0%,0,.0%,14,100.0%
Table: Extreme Values
,,,y,Value
x,Highest,1,threehundred,300.00
-,,2,thirty ,30.00
-,,3,twelve ,12.00
-,,4,eleven ,11.00
-,,5,ten ,10.00
-,Lowest,1,one ,1.00
-,,2,two ,2.00
-,,3,three ,3.00
-,,4,four ,4.00
-,,5,five ,5.00
-])
-
-AT_CLEANUP
+,,2,thirty,30.00
+,,3,twelve,12.00
+,,4,eleven,11.00
+,,5,ten,10.00
+,Lowest,1,one,1.00
+,,2,two,2.00
+,,3,three,3.00
+,,4,four,4.00
+,,5,five,5.00
+
+Table: Tests of Normality
+,Shapiro-Wilk,,
+,Statistic,df,Sig.
+x,.37,14,.00
+])
+
+AT_CLEANUP
+
+dnl Test for a crash which happened on cleanup from a bad input syntax
+AT_SETUP([EXAMINE -- Bad Input])
+AT_KEYWORDS([categorical categoricals])
+
+AT_DATA([examine-bad.sps], [dnl
+data list list /h * g *.
+begin data.
+1 1
+2 1
+3 1
+4 1
+5 2
+6 2
+7 2
+8 2
+9 2
+end data.
+
+EXAMINE
+ /VARIABLES= h
+ BY g
+ /STATISTICS = DESCRIPTIVES EXTREME
+ /PLOT = lkajsdas
+ .
+])
+
+AT_CHECK([pspp -o pspp.csv examine-bad.sps], [1], [ignore])
+
+AT_CLEANUP
+
+
+dnl Check the MISSING=REPORT option
+AT_SETUP([EXAMINE -- MISSING=REPORT])
+AT_KEYWORDS([categorical categoricals])
+
+AT_DATA([examine-report.sps], [dnl
+set format = F22.0.
+data list list /x * g *.
+begin data.
+1 1
+2 1
+3 1
+4 1
+5 1
+6 1
+7 1
+8 1
+9 1
+10 2
+20 2
+30 2
+40 2
+50 2
+60 2
+70 2
+80 2
+90 2
+101 9
+201 9
+301 9
+401 9
+501 99
+601 99
+701 99
+801 99
+901 99
+1001 .
+2002 .
+3003 .
+4004 .
+end data.
+
+MISSING VALUES g (9, 99, 999).
+
+EXAMINE
+ /VARIABLES = x
+ BY g
+ /STATISTICS = EXTREME
+ /NOTOTAL
+ /MISSING = REPORT.
+])
+
+
+AT_CHECK([pspp -o pspp.csv -o pspp.txt examine-report.sps])
+AT_CHECK([cat pspp.csv], [0],
+ [[Table: Reading free-form data from INLINE.
+Variable,Format
+x,F8.0
+g,F8.0
+
+Table: Case Processing Summary
+,g,Cases,,,,,
+,,Valid,,Missing,,Total,
+,,N,Percent,N,Percent,N,Percent
+x,.,4,100.0%,0,.0%,4,100.0%
+,1,9,100.0%,0,.0%,9,100.0%
+,2,9,100.0%,0,.0%,9,100.0%
+,9[a],4,100.0%,0,.0%,4,100.0%
+,99[a],5,100.0%,0,.0%,5,100.0%
+Footnote: a. User-missing value.
+
+Table: Extreme Values
+,g,,,Case Number,Value
+x,.,Highest,1,31,4004
+,,,2,30,3003
+,,,3,29,2002
+,,,4,28,1001
+,,,5,0,0
+,,Lowest,1,28,1001
+,,,2,29,2002
+,,,3,30,3003
+,,,4,31,4004
+,,,5,31,4004
+,1,Highest,1,9,9
+,,,2,8,8
+,,,3,7,7
+,,,4,6,6
+,,,5,5,5
+,,Lowest,1,1,1
+,,,2,2,2
+,,,3,3,3
+,,,4,4,4
+,,,5,5,5
+,2,Highest,1,18,90
+,,,2,17,80
+,,,3,16,70
+,,,4,15,60
+,,,5,14,50
+,,Lowest,1,10,10
+,,,2,11,20
+,,,3,12,30
+,,,4,13,40
+,,,5,14,50
+,9[a],Highest,1,22,401
+,,,2,21,301
+,,,3,20,201
+,,,4,19,101
+,,,5,0,0
+,,Lowest,1,19,101
+,,,2,20,201
+,,,3,21,301
+,,,4,22,401
+,,,5,22,401
+,99[a],Highest,1,27,901
+,,,2,26,801
+,,,3,25,701
+,,,4,24,601
+,,,5,23,501
+,,Lowest,1,23,501
+,,,2,24,601
+,,,3,25,701
+,,,4,26,801
+,,,5,27,901
+Footnote: a. User-missing value.
+]])
+
+AT_CLEANUP
+
+
+dnl Run a test of the basic STATISTICS using a "real"
+dnl dataset and comparing with "real" results kindly
+dnl provided by Olaf Nöhring
+AT_SETUP([EXAMINE -- sample unweighted])
+AT_KEYWORDS([categorical categoricals])
+
+AT_DATA([sample.sps], [dnl
+set format = F22.4.
+DATA LIST notable LIST /X *
+BEGIN DATA.
+461.19000000
+466.38000000
+479.46000000
+480.10000000
+483.43000000
+488.30000000
+489.00000000
+491.62000000
+505.62000000
+511.30000000
+521.53000000
+526.70000000
+528.25000000
+538.70000000
+540.22000000
+540.58000000
+546.10000000
+548.17000000
+553.99000000
+566.21000000
+575.90000000
+584.38000000
+593.40000000
+357.05000000
+359.73000000
+360.48000000
+373.98000000
+374.13000000
+381.45000000
+383.72000000
+390.00000000
+400.34000000
+415.32000000
+415.91000000
+418.30000000
+421.03000000
+422.43000000
+426.93000000
+433.25000000
+436.89000000
+445.33000000
+446.33000000
+446.55000000
+456.44000000
+689.49000000
+691.92000000
+695.00000000
+695.36000000
+698.21000000
+699.46000000
+706.61000000
+710.69000000
+715.82000000
+715.82000000
+741.39000000
+752.27000000
+756.73000000
+757.74000000
+759.57000000
+796.07000000
+813.78000000
+817.25000000
+825.48000000
+831.28000000
+849.24000000
+890.00000000
+894.78000000
+935.65000000
+935.90000000
+945.90000000
+1012.8600000
+1022.6000000
+1061.8100000
+1063.5000000
+1077.2300000
+1151.6300000
+1355.2800000
+598.88000000
+606.91000000
+621.60000000
+624.80000000
+636.13000000
+637.38000000
+640.32000000
+649.35000000
+656.51000000
+662.55000000
+664.69000000
+106.22000000
+132.24000000
+174.76000000
+204.85000000
+264.93000000
+264.99000000
+269.84000000
+325.12000000
+331.67000000
+337.26000000
+347.68000000
+354.91000000
+END DATA.
+
+EXAMINE
+ x
+ /STATISTICS=DESCRIPTIVES
+ .
+])
+
+AT_CHECK([pspp -O format=csv sample.sps], [0], [dnl
+Table: Case Processing Summary
+,Cases,,,,,
+,Valid,,Missing,,Total,
+,N,Percent,N,Percent,N,Percent
+X,100,100.0%,0,.0%,100,100.0%
+
+Table: Descriptives
+,,,Statistic,Std. Error
+X,Mean,,587.6603,23.2665
+,95% Confidence Interval for Mean,Lower Bound,541.4946,
+,,Upper Bound,633.8260,
+,5% Trimmed Mean,,579.7064,
+,Median,,547.1350,
+,Variance,,54132.8466,
+,Std. Deviation,,232.6647,
+,Minimum,,106.2200,
+,Maximum,,1355.2800,
+,Range,,1249.0600,
+,Interquartile Range,,293.1575,
+,Skewness,,.6331,.2414
+,Kurtosis,,.5300,.4783
+])
+
+AT_CLEANUP
+
+
+
+dnl Test for a crash which happened on bad input syntax
+AT_SETUP([EXAMINE -- Empty Parentheses])
+AT_KEYWORDS([categorical categoricals])
+
+AT_DATA([examine-empty-parens.sps], [dnl
+DATA LIST notable LIST /X *
+BEGIN DATA.
+2
+3
+END DATA.
+
+
+EXAMINE
+ x
+ /PLOT = SPREADLEVEL()
+ .
+])
+
+AT_CHECK([pspp -o pspp.csv examine-empty-parens.sps], [1], [ignore])
+
+AT_CLEANUP
+
+
+
+
+dnl Test for another crash which happened on bad input syntax
+AT_SETUP([EXAMINE -- Bad variable])
+AT_KEYWORDS([categorical categoricals])
+
+AT_DATA([examine-bad-variable.sps], [dnl
+data list list /h * g *.
+begin data.
+3 1
+4 1
+5 2
+end data.
+
+EXAMINE
+ /VARIABLES/ h
+ BY g
+ .
+])
+
+AT_CHECK([pspp -o pspp.csv examine-bad-variable.sps], [1], [ignore])
+
+AT_CLEANUP
+
+
+
+dnl Test for yet another crash. This time for extremes vs. missing weight values.\0
+AT_SETUP([EXAMINE -- Extremes vs. Missing Weights])
+AT_KEYWORDS([categorical categoricals])
+
+AT_DATA([examine-missing-weights.sps], [dnl
+data list notable list /h * g *.
+begin data.
+3 1
+4 .
+5 1
+2 1
+end data.
+
+WEIGHT BY g.
+
+EXAMINE h
+ /STATISTICS extreme(3)
+ .
+])
+
+AT_CHECK([pspp -O format=csv examine-missing-weights.sps], [0], [dnl
+"examine-missing-weights.sps:13: warning: EXAMINE: At least one case in the data file had a weight value that was user-missing, system-missing, zero, or negative. These case(s) were ignored."
+
+Table: Case Processing Summary
+,Cases,,,,,
+,Valid,,Missing,,Total,
+,N,Percent,N,Percent,N,Percent
+h,3.00,100.0%,.00,.0%,3.00,100.0%
+
+Table: Extreme Values
+,,,Case Number,Value
+h,Highest,1,3,5.00
+,,2,2,4.00
+,,3,1,3.00
+,Lowest,1,4,2.00
+,,2,1,3.00
+,,3,2,4.00
+])
+
+AT_CLEANUP
+
+dnl This is an example from doc/tutorial.texi
+dnl So if the results of this have to be changed in any way,
+dnl make sure to update that file.
+AT_SETUP([EXAMINE tutorial example 1])
+cp $top_srcdir/examples/repairs.sav .
+AT_DATA([repairs.sps], [dnl
+GET FILE='repairs.sav'.
+EXAMINE mtbf /STATISTICS=DESCRIPTIVES.
+COMPUTE mtbf_ln = LN (mtbf).
+EXAMINE mtbf_ln /STATISTICS=DESCRIPTIVES.
+])
+
+AT_CHECK([pspp -O format=csv repairs.sps], [0], [dnl
+Table: Case Processing Summary
+,Cases,,,,,
+,Valid,,Missing,,Total,
+,N,Percent,N,Percent,N,Percent
+Mean time between failures (months) ,30,100.0%,0,.0%,30,100.0%
+
+Table: Descriptives
+,,,Statistic,Std. Error
+Mean time between failures (months) ,Mean,,8.78,1.10
+,95% Confidence Interval for Mean,Lower Bound,6.53,
+,,Upper Bound,11.04,
+,5% Trimmed Mean,,8.20,
+,Median,,8.29,
+,Variance,,36.34,
+,Std. Deviation,,6.03,
+,Minimum,,1.63,
+,Maximum,,26.47,
+,Range,,24.84,
+,Interquartile Range,,6.03,
+,Skewness,,1.65,.43
+,Kurtosis,,3.41,.83
+
+Table: Case Processing Summary
+,Cases,,,,,
+,Valid,,Missing,,Total,
+,N,Percent,N,Percent,N,Percent
+mtbf_ln,30,100.0%,0,.0%,30,100.0%
+
+Table: Descriptives
+,,,Statistic,Std. Error
+mtbf_ln,Mean,,1.95,.13
+,95% Confidence Interval for Mean,Lower Bound,1.69,
+,,Upper Bound,2.22,
+,5% Trimmed Mean,,1.96,
+,Median,,2.11,
+,Variance,,.49,
+,Std. Deviation,,.70,
+,Minimum,,.49,
+,Maximum,,3.28,
+,Range,,2.79,
+,Interquartile Range,,.88,
+,Skewness,,-.37,.43
+,Kurtosis,,.01,.83
+])
+
+AT_CLEANUP
+
+dnl This is an example from doc/tutorial.texi
+dnl So if the results of this have to be changed in any way,
+dnl make sure to update that file.
+AT_SETUP([EXAMINE tutorial example 2])
+cp $top_srcdir/examples/physiology.sav .
+AT_DATA([examine.sps], [dnl
+GET FILE='physiology.sav'.
+EXAMINE height, weight /STATISTICS=EXTREME(3).
+])
+AT_CHECK([pspp -o pspp.csv -o pspp.txt examine.sps])
+AT_CHECK([cat pspp.csv], [0], [dnl
+Table: Case Processing Summary
+,Cases,,,,,
+,Valid,,Missing,,Total,
+,N,Percent,N,Percent,N,Percent
+Height in millimeters ,40,100.0%,0,.0%,40,100.0%
+Weight in kilograms ,40,100.0%,0,.0%,40,100.0%
+
+Table: Extreme Values
+,,,Case Number,Value
+Height in millimeters ,Highest,1,14,1903
+,,2,15,1884
+,,3,12,1802
+,Lowest,1,30,179
+,,2,31,1598
+,,3,28,1601
+Weight in kilograms ,Highest,1,13,92.1
+,,2,5,92.1
+,,3,17,91.7
+,Lowest,1,38,-55.6
+,,2,39,54.5
+,,3,33,55.4
+])
+AT_CLEANUP
+
+
+
+AT_SETUP([EXAMINE -- Crash on unrepresentable graphs])
+AT_DATA([examine.sps], [dnl
+data list notable list /x * g *.
+begin data.
+96 1
+end data.
+
+examine x by g
+ /nototal
+ /plot = all.
+])
+dnl This bug only manifested itself on cairo based drivers.
+AT_CHECK([pspp -O format=pdf examine.sps], [0], [ignore], [ignore])
+AT_CLEANUP
+
+
+dnl This example comes from the web site:
+dnl https://www.spsstests.com/2018/11/shapiro-wilk-normality-test-spss.html
+AT_SETUP([EXAMINE -- shapiro-wilk 1])
+AT_KEYWORDS([shapiro wilk])
+AT_DATA([shapiro-wilk.sps], [dnl
+data list notable list /x * g *.
+begin data.
+96 1
+98 1
+95 1
+89 1
+90 1
+92 1
+94 1
+93 1
+97 1
+100 1
+99 2
+96 2
+80 2
+89 2
+91 2
+92 2
+93 2
+94 2
+99 2
+80 2
+end data.
+
+set format F22.3.
+
+examine x by g
+ /nototal
+ /plot = all.
+])
+
+AT_CHECK([pspp -O format=csv shapiro-wilk.sps], [0],[dnl
+Table: Case Processing Summary
+,g,Cases,,,,,
+,,Valid,,Missing,,Total,
+,,N,Percent,N,Percent,N,Percent
+x,1.00,10,100.0%,0,.0%,10,100.0%
+,2.00,10,100.0%,0,.0%,10,100.0%
+
+Table: Tests of Normality
+,g,Shapiro-Wilk,,
+,,Statistic,df,Sig.
+x,1.00,.984,10,.983
+,2.00,.882,10,.136
+])
+
+AT_CLEANUP
+
+
+dnl This example comes from the web site:
+dnl http://www.real-statistics.com/tests-normality-and-symmetry/statistical-tests-normality-symmetry/shapiro-wilk-expanded-test/
+dnl It uses a dataset larger than 11 samples. Hence the alternative method for
+dnl signficance is used.
+AT_SETUP([EXAMINE -- shapiro-wilk 2])
+AT_KEYWORDS([shapiro wilk])
+AT_DATA([shapiro-wilk2.sps], [dnl
+data list notable list /x *.
+begin data.
+65
+61
+63
+86
+70
+55
+74
+35
+72
+68
+45
+58
+end data.
+
+set format F22.3.
+
+examine x
+ /plot = boxplot.
+])
+
+AT_CHECK([pspp -O format=csv shapiro-wilk2.sps], [0],[dnl
+Table: Case Processing Summary
+,Cases,,,,,
+,Valid,,Missing,,Total,
+,N,Percent,N,Percent,N,Percent
+x,12,100.0%,0,.0%,12,100.0%
+
+Table: Tests of Normality
+,Shapiro-Wilk,,
+,Statistic,df,Sig.
+x,.971,12,.922
+])
+
+AT_CLEANUP
projects / pspp / blobdiff