c# pdf reader text : Copy pages from pdf into new pdf software control project winforms web page windows UWP tabout_tutorial2-part684

ofthemorerecentadditionstotabout:the
dpcomma
option(whichcanbeabbreviatedto
dpc
).周is
optionreplaces the period used for decimal points with a comma (and the thousands separator
becomesaperiod,alsocalledafull-stop).
StatacodeforTable7
sysuse nlsw88, clear
la var south ”Location”
la def south 0 ”Does not live in the South” ///
1 ”Lives in the South”
la val south south
la var industry ”Industry”
la var occupation ”Occupation”
tabout occ ind south using table7.txt, ///
c(col cell) f(1) clab(Col_% Cell_%) npos(row) nlab(Sample size) ///
lay(cb) dpcomma ///
rep ///
style(tex) bt font(bold) cl1(2-7) cl2(2-4 5-7) ///
h3(& \multicolumn{3}{c}{Column percentages} & ///
\multicolumn{3}{c}{Cell percentages} \\) ///
topf(top.tex) botf(bot.tex) topstr(13cm) botstr(nlsw88.dta)
Tutorialfortaboutversion2.0.7–5January2015
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Basic tableswithsurveydata
Table8:Surveydatashowingrowpercentageswithconfidenceintervals
Location
DoesnotliveintheSouth
LivesintheSouth
Total
Row%
95%CI
Row%
95%CI
Row%
Education
Notcollegegraduate(n=1,714)
58.8
[56.1,61.4]
41.2
[38.6,43.9]
100.0
Collegegraduate(n=532)
59.6
[54.8,64.3]
40.4
[35.7,45.2]
100.0
Total(n=2,246)
59.0
[56.6,61.3]
41.0
[38.7,43.4]
100.0
Pearson:Uncorrectedchi2(1)=
0.1124
Design-basedF(1.00,2245.00)=
0.0850
Pr=
0.771
Race
White(n=1,637)
66.9
[64.3,69.5]
33.1
[30.5,35.7]
100.0
Black(n=583)
36.0
[31.7,40.6]
64.0
[59.4,68.3]
100.0
Other(n=26)
87.5
[63.8,96.5]
12.5
[3.5,36.2]
100.0
Total(n=2,246)
59.0
[56.6,61.3]
41.0
[38.7,43.4]
100.0
Pearson:Uncorrectedchi2(2)=
182.1039
Design-basedF(1.99,4466.01)=
63.6567
Pr=
0.000
Maritalstatus
Single(n=804)
58.7
[54.7,62.6]
41.3
[37.4,45.3]
100.0
Married(n=1,442)
59.1
[56.2,62.0]
40.9
[38.0,43.8]
100.0
Total(n=2,246)
59.0
[56.6,61.3]
41.0
[38.7,43.4]
100.0
Pearson:Uncorrectedchi2(1)=
0.0390
Design-basedF(1.00,2245.00)=
0.0293
Pr=
0.864
Source: nlsw88.dta
Whenitcomestosurveydata,confidenceintervalsareeasily handled bytabout. 周e
c(rowci)
optionindicatesthatCIsarerequired,andthedefaultsettingsincludesquarebracketsandacomma
separator(thoughtheformercanberemovedandthelattermodifiedusing
cibnone
and
cisep()
).周e
percent
optionalsoturnsproportionsintopercentages. Inthisexample,thesurveychi2resultsare
alsoincluded. Notetheuseofthe
npos(lab)
optiontopresentncountswithinthevaluelabelsofthe
verticalvariables.
StatacodeforTable8
sysuse nlsw88, clear
la var south ”Location”
la def south 0 ”Does not live in the South” ///
1 ”Lives in the South”
la val south south
la var race ”Race”
la def race 1 ”White” 2 ”Black” 3 ”Other”
la val race race
la var married ”Marital status”
la def married 0 ”Single” 1 ”Married”
la val married married
la var collgrad ”Education”
22
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la def collgrad 0 ”Not college graduate” 1 ”College graduate”
la val collgrad collgrad
gen wt = 10 * runiform()
svyset [pw=wt]
tabout coll race married south using table8.txt, ///
c(row ci) f(1 1) clab(Row_% 95%_CI) svy stats(chi2) ///
npos(lab) percent ///
rep ///
style(tex) bt font(bold) cl1(2-6) ///
topf(top.tex) botf(bot.tex) topstr(14cm) botstr(nlsw88.dta)
Table9:Sametableillustratingthenewdpcommaoptionandthecisepoption
Location
DoesnotliveintheSouth
LivesintheSouth
Total
Row%
95%CI
Row%
95%CI
Row%
Education
Notcollegegraduate(n=1.714)
57,2
[54,4-59,9]
42,8
[40,1-45,6]
100,0
Collegegraduate(n=532)
58,9
[54,0-63,6]
41,1
[36,4-46,0]
100,0
Total(n=2.246)
57,6
[55,2-59,9]
42,4
[40,1-44,8]
100,0
Pearson:Uncorrectedchi2(1)=
0,5001
Design-basedF(1,00,2245,00)=
0,3747
Pr=
0,540
Race
White(n=1.637)
64,9
[62,2-67,5]
35,1
[32,5-37,8]
100,0
Black(n=583)
35,8
[31,5-40,4]
64,2
[59,6-68,5]
100,0
Other(n=26)
84,8
[60,6-95,3]
15,2
[4,7-39,4]
100,0
Total(n=2.246)
57,6
[55,2-59,9]
42,4
[40,1-44,8]
100,0
Pearson:Uncorrectedchi2(2)=
156,3044
Design-basedF(2,00,4484,45)=
56,7473
Pr=
0,000
Maritalstatus
Single(n=804)
56,2
[52,1-60,1]
43,8
[39,9-47,9]
100,0
Married(n=1.442)
58,3
[55,4-61,2]
41,7
[38,8-44,6]
100,0
Total(n=2.246)
57,6
[55,2-59,9]
42,4
[40,1-44,8]
100,0
Pearson:Uncorrectedchi2(1)=
0,9755
Design-basedF(1,00,2245,00)=
0,7459
Pr=
0,388
Source: nlsw88.dta
周e
dpcomma
option(abbreviatedto
dpc
)switchesaround periodsand commaswhenitcomes
todecimalpoints. Obviously,forconfidenceintervals(asshowninTable8)thiscanbeconfusing,
souserswillneedtomodifytheCIseparator.周isiseasilydonewiththe
cisep
option,whichinthis
examplemakesuseofadash.
Tutorialfortaboutversion2.0.7–5January2015
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StatacodeforTable9
sysuse nlsw88, clear
la var south ”Location”
la def south 0 ”Does not live in the South” ///
1 ”Lives in the South”
la val south south
la var race ”Race”
la def race 1 ”White” 2 ”Black” 3 ”Other”
la val race race
la var married ”Marital status”
la def married 0 ”Single” 1 ”Married”
la val married married
la var collgrad ”Education”
la def collgrad 0 ”Not college graduate” 1 ”College graduate”
la val collgrad collgrad
gen wt = 10 * runiform()
svyset [pw=wt]
tabout coll race married south using table9.txt, ///
c(row ci) f(1 1) clab(Row_% 95%_CI) svy stats(chi2) ///
npos(lab) per dpc cisep(-) ///
rep ///
style(tex) bt font(bold) cl1(2-6) ///
topf(top.tex) botf(bot.tex) topstr(14cm) botstr(nlsw88.dta)
24
Tutorialfortaboutversion2.0.7–5January2015
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Summarytables
Summarytablesintaboutcanbeassimpleasthefollowingtable,wheretwovariables(incandcan-
didate)arecross-tabulatedandthecellcontentsarebasedonthemeanofanothervariable(pfrac).
周isisessentiallythesameasStata’stablecommand.Notethatthe
sum
optionisrequiredtoindic-
atethatthisisasummarytable.
Table10:Simpletwowaysummarytableillustratingatableofmeans
Candidatevotedfor,1992
FamilyIncome
Clinton
Bush
Perot
Total
%
%
%
%
<$15k
8.3
3.2
2.5
4.7
$15-30k
10.8
8.4
4.8
8.0
$30-50k
12.3
11.4
6.3
10.0
$50-75k
8.0
8.4
3.6
6.7
$75k+
4.7
6.2
2.1
4.3
Total
8.8
7.5
3.9
6.7
Source:voter.dta
StatacodeforTable10
sysuse voter, clear
tabout inc candidat using table10.txt, ///
c(mean pfrac) f(1) clab(%) sum ///
rep ///
style(tex) bt font(bold) cl1(2-5) ///
topf(top.tex) botf(bot.tex) topstr(12cm) botstr(voter.dta)
Table11:Twowaysummarytableillustratinginter-quartilerange
Inter-quartilerangeofweight
RepairRecord1978
Domestic
Foreign
Total
N
1
3,100
3,100
2
2
3,354
3,354
8
3
3,442
2,010
3,299
30
4
3,532
2,208
2,870
18
5
1,960
2,403
2,323
11
Total
3,368
2,263
3,032
69
N
48
21
69
Source:auto.dta
Table11showsanotherexampleof asummarytable,inthis casetheinter-quartilerange. As
mentionedearlier,thisisbutoneofalargenumberofpossiblesummarymeasuresavailablewith
thisoption: Nmeanvarsdskewnesskurtosissumuwsumminmaxcountmedianiqrr9010r9050
r7525r1050p1p5p10p25p50p75p90p95p99. Notethattaboutworksoutthatthisisatwoway
tableandusesthelastvariableinthelist(foreign)asthe‘horizontal’variable.
Tutorialfortaboutversion2.0.7–5January2015
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StatacodeforTable11
sysuse auto, clear
tabout rep78 foreign using table11.txt, ///
c(mean weight) f(0c) sum h3(nil) npos(both) ///
rep ///
style(tex) bt font(bold) cl1(2-4) cltr1(.5em) ///
h1(& \multicolumn{3}{c}{\textbf{Inter-quartile range of
weight}} \\) ///
topf(top.tex) botf(bot.tex) topstr(10cm)
botstr(auto.dta)
Table12:Onewaysummarytableillustratingmultiplesummarymeasures
Mean
Median
MPG
Weight
(lbs)
Length
(in)
Price
Headroom
(in)
Cartype
Domestic(70%)
19.8
3,317.1
196.1
$4,782.50
3.5
Foreign(29%)
24.8
2,315.9
168.5
$5,759.00
2.5
Total(100%)
21.3
3,019.5
187.9
$5,006.50
3.0
RepairRecord1978
1(2%)
21.0
3,100.0
189.0
$4,564.50
1.8
2(11%)
19.1
3,353.8
199.4
$4,638.00
3.8
3(43%)
19.4
3,299.0
194.0
$4,741.00
3.5
4(26%)
21.7
2,870.0
184.8
$5,751.50
3.0
5(15%)
27.4
2,322.7
170.2
$5,397.00
2.5
Total(100%)
21.3
3,032.0
188.3
$5,079.00
3.0
Source:auto.dta
周istableillustratesaonewaysummarytable,butitisnotnecessarytospecify
oneway
because
taboutworksthisout fromthe
cells
contents. Itisessential,however,toincludethe
sum
optionto
indicate that this is asummary table. Whiletabout only allowsa singlesummary measurein a
twoway table (asshowninTables10and 11above),ifoneway tablesarechosentabout does not
limit thenumber ofsummary measuresyoucanuse(though pagespace might). 周e
clab
option
alsoshowstheuseofunderscorestoindicatespaces.Finally,the
npos(tufte)
optionisshown.
StatacodeforTable12
sysuse auto, clear
tabout foreign rep78 using table12.txt, ///
c(mean mpg mean weight mean length median price median headroom) ///
f(1c 1c 1c 2cm 1c) ///
clab(MPG Weight_(lbs) Length_(in) Price Headroom_(in)) ///
sum npos(tufte) ///
rep ///
style(tex) bt cl2(2-4 5-6) cltr2(.75em 1.5em) ///
topf(top.tex) botf(bot.tex) topstr(10cm) botstr(auto.dta)
26
Tutorialfortaboutversion2.0.7–5January2015
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Summarytableswithsurveydata
Table13:Twowaysummarytablewithstandarderrors
Education
Notcollegegraduate
Collegegraduate
Total
Mean
wage
SE
Mean
wage
SE
Mean
wage
SE
Occupation
Professional/technical(n=317)
9.73
(0.51)
12.31
(0.69)
10.91
(0.43)
Managers/admin(n=264)
9.88
(0.68)
13.63
(0.94)
10.98
(0.56)
Sales(n=726)
6.86
(0.23)
8.34
(0.57)
7.06
(0.22)
Clerical/unskilled(n=102)
8.43
(1.13)
7.38
(1.49)
8.23
(0.96)
Craftsmen(n=53)
6.75
(0.51)
11.00
(1.02)
7.17
(0.51)
Operatives(n=246)
5.50
(0.28)
4.47
(1.47)
5.49
(0.28)
Transport(n=28)
3.30
(0.33)
3.30
(0.33)
Laborers(n=286)
4.88
(0.24)
6.45
(0.97)
4.99
(0.24)
Farmers(n=1)
8.05
(0.00)
8.05
(0.00)
Farmlaborers(n=9)
2.98
(0.26)
2.51
(0.00)
2.94
(0.24)
Service(n=16)
5.88
(0.69)
4.03
(0.00)
5.84
(0.67)
Householdworkers(n=2)
6.46
(0.14)
6.46
(0.14)
Other(n=187)
4.55
(0.39)
9.51
(0.40)
8.98
(0.39)
Total(n=2,237)
6.94
(0.16)
10.40
(0.31)
7.78
(0.14)
Location
DoesnotliveintheSouth(n=1,304)
7.62
(0.22)
10.73
(0.40)
8.39
(0.20)
LivesintheSouth(n=942)
6.01
(0.20)
9.92
(0.50)
6.93
(0.20)
Total(n=2,246)
6.94
(0.16)
10.40
(0.31)
7.77
(0.14)
Race
White(n=1,637)
7.43
(0.21)
10.19
(0.32)
8.13
(0.18)
Black(n=583)
5.72
(0.18)
11.02
(0.85)
6.76
(0.24)
Other(n=26)
6.84
(0.82)
11.80
(1.75)
8.89
(1.06)
Total(n=2,246)
6.94
(0.16)
10.40
(0.31)
7.77
(0.14)
Source: nlsw88
Whenitcomestosurveydata,youcanincludestandarderrorsandconfidenceintervalsinyour
summarytables.Youare,however,restrictedtoasinglemeasure:themean.周isisbecausetabout
usesStata’ssvy:meancommand. 周istableillustratesoneapproachtopresentingstandarderrors.
Notethatyoumustincludeboththe
sum
optionandthe
svy
optionfortableslikethese.
StatacodeforTable13
sysuse nlsw88, clear
la var south ”Location”
la def south 0 ”Does not live in the South” ///
1 ”Lives in the South”
la val south south
la var race ”Race”
la def race 1 ”White” 2 ”Black” 3 ”Other”
la val race race
la var collgrad ”Education”
la def collgrad 0 ”Not college graduate” 1 ”College graduate”
la val collgrad collgrad
Tutorialfortaboutversion2.0.7–5January2015
27
la var occupation ”Occupation”
gen wt = 10 * runiform()
svyset [pw=wt]
tabout occ south race coll using table13.txt, ///
c(mean wage se) f(2 2) clab(Mean_wage SE) ///
sum svy npos(lab) ///
rep ///
style(tex) bt cl1(2-7) font(bold) ///
topf(top.tex) botf(bot.tex) topstr(14cm) botstr(nlsw88)
Table14:TwowaysummarytablewithlowerandupperCIbounds
Averagewagesaccordingtolocation
DoesnotliveintheSouth
LivesintheSouth
Total
Mean
LB
UB
Mean
LB
UB
Mean
LB
UB
Education
Notcollegegraduate
$7.74
$7.29
$8.19
$5.96
$5.61
$6.32
$7.00
$6.69
$7.30
Collegegraduate
$10.90
$10.07 $11.72
$9.78
$8.93
$10.63 $10.44
$9.84
$11.05
Total
$8.51
$8.10
$8.91
$6.85
$6.50
$7.21
$7.82
$7.54
$8.10
Race
White
$8.54
$8.08
$8.99
$7.47
$6.97
$7.97
$8.17
$7.82
$8.51
Black
$8.21
$7.35
$9.07
$5.87
$5.43
$6.30
$6.76
$6.32
$7.19
Other
$10.03
$6.79
$13.28
$4.73
$0.74
$8.71
$9.50
$6.43
$12.57
Total
$8.51
$8.10
$8.91
$6.85
$6.50
$7.21
$7.82
$7.54
$8.10
Source: nlsw88.dta
AswellasacombinedCI,taboutalsoallowsforseparatelowerboundandupperboundestim-
atesusingthe
lb
and
ub
options.周isexamplealsoillustratesthemoneyformat(
f(2m))
.Currencies
otherthanthe$canbespecifiedusingthe
money()
option.Incomparisontotheearlierapproachof
relabellingthevariable,inthisexamplethe
h1
optionisusedtochangethedefaultlabelforheading
number1. Inthecaseofthe
tex
output,theusermust takeresponsibility foralloftheL
A
T
E
Xcode
neededforthisheading.
StatacodeforTable14
sysuse nlsw88, clear
la var south ”Location”
la def south 0 ”Does not live in the South” ///
1 ”Lives in the South”
la val south south
la var race ”Race”
la def race 1 ”White” 2 ”Black” 3 ”Other”
la val race race
la var collgrad ”Education”
la def collgrad 0 ”Not college graduate” 1 ”College graduate”
28
Tutorialfortaboutversion2.0.7–5January2015
la val collgrad collgrad
gen wt = 10 * runiform()
svyset [pw=wt]
tabout coll race south using table14.txt, ///
c(mean wage lb ub) f(2m) svy sum ///
rep ///
style(tex) bt font(italic) cl1(2-10) cl2(2-4 5-7 8-10) ///
h1(& \multicolumn{9}{c}{\emph{Average wages according to location}} \\) ///
topf(top.tex) botf(bot.tex) topstr(14cm) botstr(nlsw88.dta)
Table15:TwowaysummarytablewithstandarderrorsandCIsinrowlayout
Location
Doesnotlivein
theSouth
Livesinthe
South
Total
Averagewage
Education
Notcollegegraduate(n=1,714)
7.74
6.01
6.98
(SE)
(0.21)
(0.20)
(0.15)
(90%CI)
[7.39,8.09]
[5.68,6.33]
[6.73,7.22]
Collegegraduate(n=532)
10.98
10.12
10.63
(SE)
(0.42)
(0.48)
(0.32)
(90%CI)
[10.29,11.66]
[9.33,10.92]
[10.11,11.15]
Total(n=2,246)
8.55
6.93
7.85
(SE)
(0.19)
(0.20)
(0.14)
(90%CI)
[8.23,8.87]
[6.60,7.26]
[7.62,8.08]
Race
White(n=1,637)
8.54
7.59
8.20
(SE)
(0.22)
(0.27)
(0.17)
(90%CI)
[8.18,8.90]
[7.14,8.04]
[7.92,8.48]
Black(n=583)
8.56
5.87
6.86
(SE)
(0.45)
(0.26)
(0.24)
(90%CI)
[7.81,9.30]
[5.44,6.30]
[6.46,7.26]
Other(n=26)
8.71
8.89
8.73
(SE)
(1.38)
(2.36)
(1.27)
(90%CI)
[6.45,10.98]
[5.01,12.76]
[6.63,10.82]
Total(n=2,246)
8.55
6.93
7.85
(SE)
(0.19)
(0.20)
(0.14)
(90%CI)
[8.23,8.87]
[6.60,7.26]
[7.62,8.08]
Source:nlsw88.dta
周is table showssimilar data, butwith thelayoutdesignatedasrow. 周e
level
option(abbre-
viatedto
l
)is inherited fromStata’s survey commandsand setstheconfidenceinterval level. 周e
defaultis95%,sotheoptioncanusuallybele晴outsincethisdefaultisaverycommonone. Here,
forpurposesofillustration,thelevelhasbeenchangedto90%,using
level(90)
.
Notetheuseofthefirstunderscorein
clab(_(SE)(90%_CI)
toindicateanemptylabel. 周issuits
rowlayoutwherethevaluelabelsforthe‘vertical’variablesoccupy themainpartofthefirst row.
Noticealsotheuseofthe
h3
optiontoplaceusefulinformationabovethedatainthetable.Normally,
Tutorialfortaboutversion2.0.7–5January2015
29
thislinewouldbeoccupiedbytheSEandCIinformation,buttherowlayoutleavesthislineblank.
Youcaneitherissuea
h3(nil)
tocloseupthisblankline,oryoucaninsertsomethinguseful.
Inthesyntax below, the
h3
lineisshownintwoversions: thefirst onefortab-delimited out-
putandthesecond fortexoutput. Ifyouareusing
style(tex)
makesureyoucommentoutthefirst
occurrenceof
h3
.
StatacodeforTable15
sysuse nlsw88, clear
la var south ”Location”
la def south 0 ”Does not live in the South” ///
1 ”Lives in the South”
la val south south
la var race ”Race”
la def race 1 ”White” 2 ”Black” 3 ”Other”
la val race race
la var collgrad ”Education”
la def collgrad 0 ”Not college graduate” 1 ”College graduate”
la val collgrad collgrad
gen wt = 10 * runiform()
svyset [pw=wt]
tabout coll race south using table15.txt, ///
c(mean wage se ci) f(2 2) sum svy npos(lab) lay(row) ///
level(90) clab(_ (SE) (90%_CI)) ///
h3( | Average wage | Average wage | Average wage) ///
rep ///
style(tex) bt
cl1(2-4) cl2(2-4) font(bold) ///
h3(& \multicolumn{3}{c}{Average wage} \\) ///
topf(top.tex) botf(bot.tex) topstr(12cm) botstr(nlsw88.dta)
30
Tutorialfortaboutversion2.0.7–5January2015
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