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Chapter5:Usingpspp
23
5.3 HypothesisTesting
One of the most fundamentalpurposes s of f statistical analysis is s hypothesis s testing. . Re-
searchers commonlyneedtotesthypothesesaboutasetofdata. . Forexample,shemight
wanttotestwhetheronesetofdatacomesfromthesamedistributionasanother,orwhether
themeanofadatasetsignificantlydiffersfromaparticularvalue.Thissectionpresentsjust
someofthepossibleteststhatpsppoffers.
Theresearcherstartsbymakinganullhypothesis. Oftenthisisahypothesiswhichhe
suspectstobefalse. Forexample,ifhesuspectsthatAisgreaterthanBhewillstatethe
nullhypothesisasA=B.
2
The p-value e isa a recurringconcept inhypothesis testing. . It t is the highestacceptable
probabilitythattheevidenceimplyinganullhypothesisisfalse,couldhavebeenobtained
whenthenullhypothesisisinfacttrue.Notethatthisisnotthesameas“theprobability
ofmakinganerror”norisitthesameas“theprobabilityofrejectingahypothesiswhenit
istrue”.
5.3.1 Testingfordifferencesofmeans
Acommonstatisticaltestinvolveshypothesesaboutmeans.TheT-TESTcommandisused
tofindoutwhetherornottwoseparatesubsetshavethesamemean.
Example 5.6uses the file physiology.sav previously encountered. . Aresearcher r sus-
pectedthattheheightsandcorebodytemperatureofpersonsmightbedifferentdepending
upontheirsex. Toinvestigatethis,heposedtwonullhypotheses:
 Themeanheightsofmalesandfemalesinthepopulationareequal.
 Themeanbodytemperatureofmalesandfemalesinthepopulationareequal.
Forthepurposesoftheinvestigationtheresearcherdecidedtouseap-valueof0.05.
InadditiontotheT-test,theT-TESTcommandalsoperformstheLevenetestforequal
variances. If f the variances are e equal, then n a more e powerful l form of f the e T-test t can be
used. Howeverifitisunsafetoassumeequalvariances,thenanalternativecalculationis
necessary. psppperformsbothcalculations.
Fortheheightvariable,theoutputshowsthesignificanceoftheLevenetesttobe0.33
whichmeansthereisa33%probabilitythattheLevenetestproducesthisoutcomewhen
thevariancesareequal. Hadthesignificancebeenlessthan0.05,thenitwouldhavebeen
unsafetoassumethatthevarianceswereequal. However,becausethevalueishigherthan
0.05thehomogeneityofvariancesassumptionissafeandthe“EqualVariances”row(the
morepowerfultest)canbeused. Examiningthis s row,the twotailedsignificanceforthe
height t-testislessthan0.05,soitissafetorejectthenullhypothesisandconcludethat
themeanheightsofmalesandfemalesareunequal.
For the temperature variable,thesignificanceoftheLevenetestis 0.58soagain,itis
safe touse the rowfor equalvariances. . The e equalvariances row indicates thatthe two
tailedsignificancefortemperature is0.20. . Sincethisis s greaterthan0.05we must reject
thenullhypothesisandconcludethatthereisinsufficientevidencetosuggestthatthebody
temperatureofmaleandfemalepersonsaredifferent.
2
ThisexampleassumesthatitisalreadyproventhatBisnotgreaterthanA.
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Chapter5:Usingpspp
24
PSPP> get t file=’/usr/local/share/pspp/examples/physiology.sav’.
PSPP> recode e height t (179 9 = SYSMIS).
PSPP> t-test t group=sex(0,1) ) /variables = = height temperature.
Output:
1.1 T-TEST. . Group p Statistics
#==================#==#=======#==============#========#
#
sex | | N| | Mean n |Std. . Deviation|SE. Mean#
#==================#==#=======#==============#========#
#height
Male |22|1796.49|
49.71|
10.60#
#
Female|17|1610.77|
25.43|
6.17#
#temperature Male e |22| | 36.68|
1.95|
.42#
#
Female|18| 37.43|
1.61|
.38#
#==================#==#=======#==============#========#
1.2 T-TEST. . Independent t Samples s Test
#===========================#=========#===============================
=#
#
# Levene’s| | t-test for Equality y of Means
#
#
#----+----+------+-----+------+---------+-
-#
#
#
|
|
|
|
|
|
#
#
#
|
|
|
|Sig. 2|
|
#
#
# F F |Sig.|
t | df f |tailed|Mean Diff|
#
#===========================#====#====#======#=====#======#=========#=
=#
#height
Equal variances# .97| | .33| 14.02|37.00|
.00|
185.72| ... . #
#
Unequal variances#
|
| 15.15|32.71|
.00|
185.72| ... . #
#temperature Equal l variances# .31| | .58| -1.31|38.00|
.20|
-.75| ... . #
#
Unequal variances#
|
| -1.33|37.99|
.19|
-.75| ... . #
#===========================#====#====#======#=====#======#=========#=
=#
 
Example 5.6: : The e T-TEST commandtests for differences of means. . Here, , the height
variable’stwotailedsignificance isless than0.05,sothenullhypothesiscanbe rejected.
Thus,theevidence suggeststhere isadifferencebetweentheheightsof maleandfemale
persons. Howeverthesignificanceofthetestforthetemperature e variableisgreaterthan
0.05sothenullhypothesiscannotberejected,andthereisinsufficientevidencetosuggest
adifferenceinbodytemperature.
5.3.2 LinearRegression
Linearregressionisatechniqueusedtoinvestigateifandhowavariableislinearlyrelated
toothers. If f avariable is foundtobelinearly related, thenthis canbeusedtopredict
futurevaluesofthatvariable.
InexampleExample5.7,theservicedepartmentofthecompanywantedtobeableto
predictthetimetorepairequipment,inordertoimprovetheaccuracyoftheirquotations.
Itwassuggestedthatthetimetorepairmightberelatedtothetimebetweenfailuresand
thedutycycleoftheequipment. Thep-valueof0.1waschosenforthisinvestigation. In
order toinvestigatethishypothesis,theREGRESSIONcommandwas used. . Thiscommand
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Chapter5:Usingpspp
25
notonlytestsifthevariablesarerelated,butalsoidentifiesthepotentiallinearrelationship.
SeeSection15.16[REGRESSION],page152.
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Chapter5:Usingpspp
26
PSPP> get t file=’/usr/local/share/pspp/examples/repairs.sav’.
PSPP> regression /variables = = mtbf duty_cycle /dependent = mttr.
PSPP> regression /variables = = mtbf /dependent = mttr.
Output:
1.3(1) REGRESSION. . Coefficients
#=============================================#====#==========#====#=====#
#
# B B |Std. Error|Beta| | t #
#========#====================================#====#==========#====#=====#
#
|(Constant)
#9.81|
1.50| .00| 6.54#
#
|Mean time between failures (months) #3.10|
.10| .99|32.43#
#
|Ratio of working to non-working g time#1.09|
1.78| .02| | .61#
#
|
#
|
|
|
#
#========#====================================#====#==========#====#=====#
1.3(2) REGRESSION. . Coefficients
#=============================================#============#
#
#Significance#
#========#====================================#============#
#
|(Constant)
#
.10#
#
|Mean time between failures (months) #
.00#
#
|Ratio of working to non-working g time#
.55#
#
|
#
#
#========#====================================#============#
2.3(1) REGRESSION. . Coefficients
#============================================#=====#==========#====#=====#
#
# B |Std. . Error|Beta| | t #
#========#===================================#=====#==========#====#=====#
#
|(Constant)
#10.50|
.96| .00|10.96#
#
|Mean time between failures (months)# 3.11|
.09| .99|33.39#
#
|
#
|
|
|
#
#========#===================================#=====#==========#====#=====#
2.3(2) REGRESSION. . Coefficients
#============================================#============#
#
#Significance#
#========#===================================#============#
#
|(Constant)
#
.06#
#
|Mean time between failures (months)#
.00#
#
|
#
#
#========#===================================#============#
 
Example5.7: Linearregressionanalysistofindapredictorformttr. Thefirstattempt,
includingduty
cycle, produces s some unacceptable highsignificancevalues. . Howeverthe
second attempt, which excludes duty
cycle, produces significance values s no higher r than
0.06.Thissuggeststhatmtbf alonemaybeasuitablepredictorformttr.
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Chapter5:Usingpspp
27
Thecoefficientsinthefirsttablesuggestthattheformulamttr=9:81+3:1mtbf +
1:09duty
cyclecanbeusedtopredictthetimetorepair.However,thesignificancevalue
fortheduty
cyclecoefficientisveryhigh,whichwouldmakethisanunsafepredictor.For
this reason,the testwas repeated,butomitting the duty
cycle variable. . This s time, , the
significance ofallcoefficients no higher than0.06, suggesting that at the 0.06level, the
formulamttr=10:5+3:11mtbf isareliablepredictorofthetimetorepair.
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Chapter6:Thepspplanguage
28
6 Thepspplanguage
This chapter r discusses s elements common n tomany y psppcommands. . Later r chapters will
describeindividualcommandsindetail.
6.1 Tokens
psppdividesmostsyntaxfilelinesintoseriesofshortchunkscalledtokens.Tokensarethen
groupedtoformcommands,eachofwhichtells pspptotake someaction—readindata,
writeoutdata,performastatisticalprocedure,etc. Eachtypeoftokenisdescribedbelow.
Identifiers Identifiers s are names that typically specify variables, , commands,or r subcom-
mands. Thefirstcharacter r inanidentifiermustbea letter,‘#’,or‘@’. . The
remainingcharactersintheidentifiermustbeletters,digits,oroneofthefol-
lowingspecialcharacters:
. _ _ $ $ # @
Identifiersmaybeanylength,butonlythefirst64bytesaresignificant. Iden-
tifiersarenotcase-sensitive: foobar,Foobar,FooBar,FOOBAR,andFoObaRare
differentrepresentationsofthesameidentifier.
Someidentifiersarereserved.Reservedidentifiersmaynotbeusedinanycon-
textbesidesthoseexplicitlydescribedinthismanual. Thereservedidentifiers
are:
ALL AND D BY Y EQ GE GT LE LT NE NOT OR TO WITH
Keywords Keywordsareasubclassofidentifiersthatformafixedpartofcommandsyntax.
Forexample,commandandsubcommandnamesarekeywords.Keywordsmay
beabbreviatedtotheirfirst3characters ifthisabbreviationisunambiguous.
(Uniqueabbreviationsof3ormorecharactersarealsoaccepted:‘FRE’,‘FREQ’,
and‘FREQUENCIES’areequivalentwhenthelastisakeyword.)
Reservedidentifiersarealwaysusedaskeywords.Otheridentifiersmaybeused
bothaskeywordsandasuser-definedidentifiers,suchasvariablenames.
Numbers Numbersareexpressedindecimal. . Adecimalpointisoptional.Numbersmay
beexpressedinscientificnotationbyadding‘e’andabase-10exponent,sothat
‘1.234e3’hasthevalue1234.Herearesomemoreexamplesofvalidnumbers:
-5 3.14159265359 1e100 -.707 8945.
Negativenumbersareexpressedwitha‘-’prefix.However,insituationswhere
aliteral‘-’tokenisexpected,whatappearstobeanegativenumberistreated
as‘-’followedbyapositivenumber.
Nowhitespaceisallowedwithinanumbertoken,exceptforhorizontalwhite
spacebetween‘-’andtherestofthenumber.
Thelastexampleabove,‘8945.’willbeinterpretedastwotokens,‘8945’and
‘.’,ifit is s the last token n on a line. . See Section6.2 [Formingcommands of
tokens],page29.
Strings
Stringsareliteralsequencesofcharactersenclosedinpairsofsinglequotes(‘’’)
ordoublequotes(‘"’). Toincludethecharacterusedforquotinginthestring,
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Chapter6:Thepspplanguage
29
double it,e.g.‘’it’’sanapostrophe’’. . Whitespace e andcaseoflettersare
significantinsidestrings.
Stringscanbeconcatenatedusing‘+’,sothat‘"a"+’b’+’c’’is equivalent
to‘’abc’’. Sothatalongstringmaybebrokenacrosslines,alinebreakmay
precedeorfollow, or r bothprecede andfollow,the‘+’. . (However,anentirely
blank line preceding or following the ‘+’is interpretedasending the current
command.)
Strings may y also o be expressed as hexadecimal character r values by y prefixing
theinitial quote character r by ‘x’or ‘X’. . Regardless s of the syntax file or ac-
tivedataset’sencoding,thehexadecimaldigitsinthestringareinterpretedas
UnicodecharactersinUTF-8encoding.
IndividualUnicode codepoints mayalsobeexpressedbyspecifying thehex-
adecimalcodepointnumberinsingleordoublequotesprecededby‘u’or‘U’.
Forexample,UnicodecodepointU+1D11E,themusicalGclefcharacter,could
beexpressedasU’1D11E’. InvalidUnicodecodepoints(aboveU+10FFFFor
inbetweenU+D800andU+DFFF)arenotallowed.
When strings are concatenated with ‘+’, each segment’s s prefix is considered
individually.Forexample,’TheGclefsymbolis:’+u"1d11e"+"."inserts
aGclefsymbolinthemiddleofanotherwiseplaintextstring.
PunctuatorsandOperators
Thesetokensarethepunctuatorsandoperators:
, / / = ( ) ) + + - * / / ** < < <= <> > > > >= ~= & | .
Most of these appear r within n the e syntax of f commands, , but t the e period d (‘.’)
punctuator isusedonlyat theendofacommand. . Itis s apunctuatoronly as
thelastcharacteronaline(exceptwhitespace). Whenitisthelastnon-space
characteronaline,aperiodisnottreatedaspartofanothertoken,evenifit
wouldotherwisebepartof,e.g.,anidentifierorafloating-pointnumber.
6.2 Formingcommandsoftokens
Most pspp p commands s share acommonstructure. . Acommand d begins s with h acommand
name,suchas FREQUENCIES,DATALIST,orNOFCASES. . Thecommandnamemaybeab-
breviatedtoitsfirstword,andeachwordinthecommandnamemaybeabbreviatedtoits
firstthreeormorecharacters,wheretheseabbreviationsareunambiguous.
Thecommandnamemaybefollowedbyoneormoresubcommands. Eachsubcommand
beginswithasubcommandname,whichmaybeabbreviatedtoitsfirstthreeletters. Some
subcommandsacceptaseriesofoneormorespecifications,whichfollowthesubcommand
name,optionallyseparatedfromitbyanequalssign(‘=’).Specificationsmaybeseparated
fromeachotherbycommasorspaces.Eachsubcommandmustbeseparatedfromthenext
(ifany)byaforwardslash(‘/’).
Therearemultiplewaystomarktheendofacommand. Themostcommonwayisto
endthelastline ofthecommandwithaperiod(‘.’)asdescribedintheprevioussection
(seeSection6.1[Tokens],page28). Ablankline,oronethatconsistsonlyofwhitespace
orcomments,alsoendsacommand.
Chapter6:Thepspplanguage
30
6.3 SyntaxVariants
Therearethreevariantsofcommandsyntax,whichvaryonlyinhowtheydetecttheend
ofonecommandandthestartofthenext.
In interactive mode, which is s thedefault for syntax typedat a command d prompt, a
periodasthelastnon-blankcharacteronalineendsacommand.Ablanklinealsoendsa
command.
Inbatchmode,anend-of-lineperiodorablanklinealsoendsacommand. Additionally,
ittreatsanylinethathasanon-blankcharacterintheleftmostcolumnasbeginninganew
command. Thus,inbatchmodethesecondandsubsequentlinesinacommandmust t be
indented.
Regardlessofthesyntaxmode,aplussign,minussign,orperiodintheleftmostcolumn
ofalineisignoredandcausesthatlinetobeginanewcommand. This s ismostusefulin
batchmode,inwhichthefirstlineofanewcommandcouldnototherwisebeindented,but
itisacceptedregardlessofsyntaxmode.
The defaultmode for reading commands from afile is auto mode. . It t is the same as
batchmode,exceptthatalinewithanon-blankintheleftmostcolumnonlystartsanew
commandifthatlinebeginswiththenameofapsppcommand. Thiscorrectlyinterprets
mostvalidpsppsyntaxfilesregardlessofthesyntaxmodeforwhichtheyareintended.
The --interactive(or -i) or --batch(or -b) options set thesyntax modeforfiles
listedonthepsppcommandline.SeeSection3.1[MainOptions],page4,formoredetails.
6.4 TypesofCommands
Commandsinpspparedividedroughlyintosixcategories:
Utilitycommands
Setordisplayvariousglobaloptionsthataffectpsppoperations. Mayappear
anywhereinasyntaxfile.SeeChapter16[Utilitycommands],page156.
Filedefinitioncommands
Giveinstructionsforreadingdatafromtextfilesorfromspecialbinary“system
files”. Mostofthesecommandsreplaceanypreviousdataorvariableswithnew
dataorvariables.Atleastonefiledefinitioncommandmustappearbeforethe
firstcommandinanyofthecategoriesbelow. SeeChapter8[DataInputand
Output],page64.
Inputprogramcommands
Thoughrarelyused,theseprovidetoolsforreadingdatafilesinarbitrarytextual
orbinaryformats. SeeSection8.9[INPUTPROGRAM],page73.
Transformations
Performoperationsondataandwritedatatooutputfiles.Transformationsare
notcarriedoutuntilaprocedureisexecuted.
Restrictedtransformations
Transformationsthatcannotappearincertaincontexts.SeeSection6.5[Order
ofCommands],page31,fordetails.
Chapter6:Thepspplanguage
31
Procedures
Analyzedata,writingresultsofanalysestothelistingfile. Causetransforma-
tionsspecifiedearlier inthe filetobe performed. . Inamore e generalsense,a
procedureisanycommandthatcausestheactivedataset(thedata)toberead.
6.5 OrderofCommands
psppdoesnotplacemanyrestrictionsonorderingofcommands. Themainrestrictionis
thatvariablesmustbedefinedbeforetheyareotherwisereferenced. Thissectiondescribes
thedetailsofcommandordering,butmostuserswillhavenoneedtorefertothem.
pspppossessesfiveinternalstates,calledinitial,input-programfile-type,transformation,
andprocedure states. . (PleasenotethedistinctionbetweentheINPUTPROGRAMandFILE
TYPEcommandsandtheinput-programandfile-typestates.)
psppstartsintheinitialstate. Eachsuccessfulcompletionofacommandmaycausea
statetransition. Eachtypeofcommandhasitsownrulesforstatetransitions:
Utilitycommands
 Validinanystate.
 Donotcausestatetransitions.Exception:whenNOFCASESisexecutedin
theprocedurestate,itcausesatransitiontothetransformationstate.
DATALIST
 Validinanystate.
 Whenexecutedintheinitialorprocedurestate,causesatransitiontothe
transformationstate.
 Clearsthe e active dataset if executedinthe procedureortransformation
state.
INPUTPROGRAM
 Invalidininput-programandfile-typestates.
 Causesatransitiontotheintput-programstate.
 Clearstheactivedataset.
FILETYPE
 Invalidinintput-programandfile-typestates.
 Causesatransitiontothefile-typestate.
 Clearstheactivedataset.
Otherfiledefinitioncommands
 Invalidininput-programandfile-typestates.
 Causeatransitiontothetransformationstate.
 Cleartheactivedataset,exceptforADDFILES,MATCHFILES,andUPDATE.
Transformations
 Invalidininitialandfile-typestates.
 Causeatransitiontothetransformationstate.
Restrictedtransformations
 Invalidininitial,input-program,andfile-typestates.
Chapter6:Thepspplanguage
32
 Causeatransitiontothetransformationstate.
Procedures
 Invalidininitial,input-program,andfile-typestates.
 Causeatransitiontotheprocedurestate.
6.6 Handlingmissingobservations
psppincludesspecialsupportforunknownnumericdatavalues. Missingobservationsare
assignedaspecialvalue,calledthesystem-missingvalue.This“value”actuallyindicatesthe
absenceofavalue;itmeansthattheactualvalueisunknown. Procedures s automatically
exclude from analyses s those e observations or cases s that t have missing values. . Details s of
missingvalueexclusiondependontheprocedureandcanoftenbecontrolledbytheuser;
refertodescriptionsofindividualproceduresfordetails.
Thesystem-missingvalueexistsonlyfornumericvariables.Stringvariablesalwayshave
adefinedvalue,evenifitisonlyastringofspaces.
Variables,whethernumeric or string,canhave designateduser-missing values. . Every
user-missingvalue is anactualvalue for that variable. . However, , most t of thetime user-
missingvaluesaretreatedinthesamewayasthesystem-missingvalue.
Formoreinformationonmissingvalues,seethefollowingsections:Section6.7[Datasets],
page32,Section11.6[MISSINGVALUES],page102,Chapter7[Expressions],page46.See
alsothedocumentationonindividualproceduresforinformationonhowtheyhandlemissing
values.
6.7 Datasets
psppworkswithdataorganizedintodatasets.Adatasetconsistsofasetofvariables,which
takentogetheraresaidtoformadictionary,andoneormorecases,eachofwhichhasone
valueforeachvariable.
Atanygiventimepspphasexactlyonedistinguisheddataset,calledtheactivedataset.
Mostpsppcommandsworkonlywiththeactivedataset. Inadditiontotheactivedataset,
psppalsosupportsanynumberofadditionalopendatasets. TheDATASETcommandscan
chooseanewactivedatasetfromamongthosethatareopen,aswellascreateanddestroy
datasets(seeSection8.4[DATASET],page65).
Thesectionsbelowdescribevariablesinmoredetail.
6.7.1 AttributesofVariables
Eachvariablehasanumberofattributes,including:
Name
Anidentifier,upto64byteslong. Eachvariablemusthaveadifferentname.
SeeSection6.1[Tokens],page28.
Somesystemvariablenamesbeginwith‘$’,butuser-definedvariables’names
maynotbeginwith‘$’.
Thefinalcharacterinavariablenameshouldnotbe‘.’,becausesuchaniden-
tifierwillbemisinterpretedwhenit isthefinaltokenonaline: : FOO. . willbe
dividedintotwoseparatetokens,‘FOO’and‘.’,indicatingend-of-command.See
Section6.1[Tokens],page28.
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