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10.85947965126180	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.76995615991161	0	0	0	0	1	0
NA	0	0	0	0	1	0
11.84581988024360	0	0	0	0	0	1
10.60410674793480	0	0	0	0	0	0
10.71432887591270	0	0	0	0	0	0
9.81219429408974	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.88471239720979	0	0	0	0	0	0
9.97975390798958	0	0	0	0	1	0
10.30521234102860	0	0	0	0	0	0
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12.22719792714510	0	0	0	0	1	0
12.30944117850720	0	0	1	0	0	0
9.87775940396340	0	1	0	0	0	0
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10.49404814432100	0	1	0	0	0	0
9.73843600690713	0	0	0	0	0	0
NA	1	0	0	0	0	0
10.86513398613110	1	0	0	0	0	0
13.13147573349230	0	1	0	0	0	0
9.86537023042300	0	0	0	0	0	0
NA	0	0	1	0	0	0
NA	0	0	1	0	0	0
13.51775121326930	0	0	1	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.84686428959504	0	0	0	0	0	0
9.87898992093573	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
12.47055389836490	0	0	0	0	0	0
10.06573394489900	1	0	0	0	0	0
NA	0	0	0	0	0	0
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10.28503558058410	1	0	0	0	0	0
NA	1	0	0	0	0	0
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NA	0	0	0	0	0	0
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11.21984216545130	0	0	0	0	0	0
9.67136632218957	0	0	0	0	0	0
10.09823162932860	0	0	0	1	0	0
9.79812703687830	0	0	0	1	0	0
10.19279330610400	0	0	1	0	0	0
NA	0	0	1	0	0	0
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10.95875731169170	0	0	0	0	0	0
10.18979367880800	0	0	0	0	0	0
10.13879680074920	0	0	0	0	0	0
10.96597167452920	0	0	0	1	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.67308638525640	0	0	0	0	0	0
10.73639667547120	0	0	0	1	0	0
10.48324204574100	0	0	0	0	0	0
10.47067460596790	0	0	1	0	0	0
NA	0	0	1	0	0	0
10.03372602945990	1	0	0	0	0	0
9.95754951063466	0	0	0	0	1	0
12.13634736303860	0	0	0	0	1	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.35443577524670	0	0	0	0	0	0
12.95870968666140	1	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	1	0	0	0	0
9.62575581093752	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.42614678817650	0	0	0	0	0	1
10.93324981665700	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.72483924110847	0	1	0	0	0	0
10.27842472227530	0	0	1	0	0	0
9.63730601153035	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.41919703354210	0	0	0	0	0	1
14.72463124640180	0	0	0	0	0	0
10.06475570013230	0	0	0	0	0	0
12.27377334919440	0	0	0	0	0	0
12.41087298408460	0	0	0	0	0	0
NA	0	0	0	0	0	0
14.96568820400740	0	0	0	0	0	0
11.51292546497020	1	0	0	0	0	0
9.68034400122192	1	0	0	0	0	0
9.86005799460879	0	0	0	0	0	0
NA	0	0	0	0	0	0
12.21231313311960	0	0	0	0	0	0
10.16246146085120	0	0	0	0	0	0
11.07865956725630	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.81602152675485	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	0	0	0	0	1
11.29290204099230	0	0	0	0	0	1
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
13.16712448342790	0	1	0	0	0	0
11.28978191365600	0	1	0	0	0	0
NA	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.22194128365470	0	0	0	0	0	0
10.51325312415700	0	0	0	0	0	0
9.90348755253613	0	0	0	1	0	0
NA	0	0	0	0	0	0
NA	0	0	1	0	0	0
NA	0	0	0	0	0	1
13.30431986756960	0	0	0	0	0	0
10.59853293037920	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.10708124460560	0	0	0	0	0	0
14.21362068438510	0	0	0	0	0	0
NA	0	1	0	0	0	0
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10.71501758882440	0	0	0	1	0	0
9.76995615991161	0	0	0	0	1	0
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12.39741588429460	1	0	0	0	0	0
10.22546235014530	0	0	0	0	0	1
10.58703883942260	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.95227771670556	0	0	0	0	0	0
10.35774282481370	0	0	0	0	0	0
11.36719424183570	0	0	1	0	0	0
NA	0	0	0	0	0	1
NA	0	0	0	0	0	0
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14.50205347832750	1	0	0	0	0	0
9.91343788338930	0	0	0	0	0	0
10.41717906571520	0	0	0	1	0	0
9.72692935563128	0	0	0	0	0	0
NA	0	0	1	0	0	0
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NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.70357212734113	0	0	0	1	0	0
11.34599682698380	0	0	1	0	0	0
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11.53409970020160	0	0	1	0	0	0
10.43128828050810	0	0	0	0	0	0
NA	0	0	0	0	0	1
NA	0	0	0	0	0	1
10.71441776875250	0	0	0	0	0	0
12.73651558530560	0	0	0	0	0	1
11.56898438570020	0	0	0	0	0	1
10.20706758014070	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.20728900686780	0	0	0	0	0	0
10.38997949928670	0	0	0	0	0	0
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11.73606901628440	0	0	0	0	1	0
11.28586173980540	0	0	0	0	1	0
NA	0	0	0	0	0	0
9.70161613649746	0	0	0	0	0	0
13.23430538743570	0	0	0	0	0	0
NA	0	1	0	0	0	0
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NA	0	0	0	0	1	0
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9.69769263955653	0	1	0	0	0	0
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10.30638269444170	0	1	0	0	0	0
10.89664672866690	0	0	1	0	0	0
NA	0	0	1	0	0	0
12.12356022395570	0	0	0	0	0	0
10.52846295299270	0	0	0	1	0	0
11.09429912658420	0	0	1	0	0	0
NA	1	0	0	0	0	0
11.20934433636510	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.15778087284260	0	0	0	0	0	0
9.79812703687830	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.25786545933570	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	1	0	0	0	0	0
NA	1	0	0	0	0	0
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10.20776859664330	0	0	0	0	0	0
9.70302239150588	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.91343788338930	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	1	0	0
10.05620863955380	0	0	0	1	0	0
NA	0	0	0	0	0	0
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10.26193093187080	1	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	1	0	0	0	0
12.46065672267870	0	0	0	0	0	0
11.69417144353730	0	0	0	0	0	0
NA	0	1	0	0	0	0
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NA	0	0	0	1	0	0
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12.81909378161080	0	0	0	0	0	0
10.12077398436590	0	0	0	0	0	1
NA	0	0	0	0	0	0
14.81834589123860	0	0	0	0	0	0
NA	1	0	0	0	0	0
NA	1	0	0	0	0	0
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NA	1	0	0	0	0	0
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NA	0	0	0	0	0	0
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11.43205157863010	0	0	0	0	0	0
9.85029772402201	0	0	0	0	0	0
NA	0	0	0	0	0	0
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11.39030575142230	0	1	0	0	0	0
9.94539695561334	0	0	1	0	0	0
NA	0	0	1	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.90348755253613	0	0	0	0	1	0
10.65784741726410	0	0	0	1	0	0
NA	0	0	0	1	0	0
NA	0	0	0	0	0	0
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10.38436929992900	0	0	0	0	0	0
9.88364192431542	0	0	0	0	0	1
NA	0	1	0	0	0	0
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11.38206478852050	0	0	1	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	1	0	0	0
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14.65234241170330	0	0	0	0	0	0
10.21097225228410	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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13.14828840099590	0	0	0	0	0	0
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10.98065486599270	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	1	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	1	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	1	0
NA	0	0	0	0	0	0
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10.87064248675100	0	0	0	1	0	0
10.14199251096300	0	0	0	1	0	0
NA	0	0	0	0	0	0
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10.08460004537340	0	0	0	0	0	0
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NA	0	1	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	1	0	0	0
NA	0	0	1	0	0	0
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9.90348755253613	0	0	0	0	0	0
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NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.92108186093708	0	0	0	1	0	0
NA	1	0	0	0	0	0
NA	1	0	0	0	0	0
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NA	0	1	0	0	0	0
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NA	1	0	0	0	0	0
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NA	0	0	0	0	0	1
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	1	0	0	0
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NA	0	0	0	0	0	0
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NA	1	0	0	0	0	0
NA	1	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	1	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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11.30480598495510	0	0	0	0	0	0
9.85828095969805	1	0	0	0	0	0
NA	1	0	0	0	0	0
10.18236850853480	0	0	0	0	0	0
NA	0	0	0	1	0	0
14.70417106669210	0	0	0	1	0	0
10.12663110385030	0	0	0	0	0	0
9.63560810738053	0	0	0	0	0	0
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10.22672980038650	0	0	0	0	0	0
10.08618403903520	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.04324949491130	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.79020686607716	0	0	0	0	0	0
10.44138344782480	1	0	0	0	0	0
9.63756697186586	0	0	0	0	0	0
9.73920235822827	0	0	0	1	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	1	0	0
11.65354790657490	0	0	0	0	0	0
10.29890232479080	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.71441776875250	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.03245228381710	0	1	0	0	0	0
11.22183759938360	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	1	0	0	0	0	0
11.34301457625270	0	0	0	0	0	0
9.82433611423069	0	0	0	0	0	0
10.37258452088910	0	0	0	0	0	0
10.59663473309610	1	0	0	0	0	0
10.50506753957060	0	0	0	0	0	0
10.17309475426040	0	0	0	0	0	0
NA	0	1	0	0	0	0
12.04053150669610	0	0	0	0	1	0
10.23228757570880	0	0	0	0	0	0
11.00209984120420	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.15843980036500	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
14.04489539189080	0	0	0	0	0	0
10.90003020096730	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	1	0	0	0	0
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12.05815251545360	0	0	0	0	0	0
9.95275379383905	1	0	0	0	0	0
NA	1	0	0	0	0	0
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10.01806545724360	0	0	0	0	0	0
9.68669876685993	0	0	0	0	0	0
NA	0	0	0	1	0	0
10.49127421743820	0	0	0	0	0	0
9.79812703687830	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.87776413360890	0	0	1	0	0	0
NA	0	0	1	0	0	0
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10.30895266064430	0	0	0	0	0	0
10.60698102515020	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	1	0	0	0	0
NA	0	0	0	1	0	0
NA	0	0	0	1	0	0
NA	0	0	0	0	0	0
10.22194128365470	1	0	0	0	0	0
10.88187006471730	1	0	0	0	0	0
9.69965631225429	1	0	0	0	0	0
11.41451849505730	0	1	0	0	0	0
11.10476171881170	0	0	1	0	0	0
NA	0	0	1	0	0	0
13.11342353583490	1	0	0	0	0	0
9.99975182250619	0	0	1	0	0	0
9.74096862303835	0	0	0	0	0	0
NA	1	0	0	0	0	0
13.43757111872080	0	0	0	0	0	1
12.43742640069300	0	0	0	0	0	1
11.67290767972600	0	0	0	0	0	0
9.63743650021064	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
12.01140721564490	1	0	0	0	0	0
10.80364890248040	0	0	0	0	0	1
10.13459927349950	0	0	0	0	0	0
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12.01370075288270	0	0	0	0	0	0
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9.92358425423525	0	0	0	0	0	0
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10.43678869881730	1	0	0	0	0	0
11.19553991314500	0	0	0	0	0	0
9.75266466280154	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	1	0
11.73947122221280	0	0	0	0	0	0
10.48592661111170	0	0	0	0	0	0
11.16400608304730	0	0	0	0	0	0
10.85821022502580	0	0	0	0	0	0
9.71111565988867	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.31890299149750	0	0	0	0	0	0
NA	0	0	0	0	0	0
12.04237655285940	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.46310334047150	0	0	0	0	0	0
9.99879773234045	0	1	0	0	0	0
9.63462723432493	0	1	0	0	0	0
12.47138640211990	0	0	0	0	0	0
NA	0	0	0	1	0	0
13.70703408162820	0	0	0	0	0	0
10.30705085335470	0	0	0	0	0	0
10.40489900169150	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.64120170642120	1	0	0	0	0	0
NA	0	0	1	0	0	0
10.90963726977860	0	0	0	0	0	1
9.90348755253613	1	0	0	0	0	0
NA	1	0	0	0	0	0
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13.72843954283270	0	0	0	0	0	0
9.90438714777896	0	0	0	0	0	0
10.12663110385030	0	0	0	0	0	0
11.05690363324490	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
10.90097109968720	1	0	0	0	0	0
9.82010594359708	0	0	0	1	0	0
13.01700286174650	0	0	0	0	0	0
NA	1	0	0	0	0	0
10.01157933488700	1	0	0	0	0	0
10.99500808739050	0	0	0	0	0	0
9.97580821411575	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.02190246850040	0	0	0	0	0	0
9.90348755253613	0	0	0	0	0	0
14.97866136777000	0	0	0	0	0	0
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10.12137732690180	0	0	0	0	0	0
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NA	0	0	1	0	0	0
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9.80366721725392	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	1	0	0	0	0	0
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12.59678614842530	0	0	0	0	0	0
11.26382287448590	0	0	0	0	0	0
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NA	0	0	0	0	0	0
9.92329017983231	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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14.10784578766870	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	1	0	0	0	0
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9.73489137036065	1	0	0	0	0	0
9.90348755253613	0	0	0	0	1	0
10.73454714004760	0	1	0	0	0	0
NA	0	0	0	1	0	0
NA	0	0	0	1	0	0
NA	0	0	0	0	0	0
9.71111565988867	0	0	0	0	0	0
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10.78487623240100	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	1	0	0	0	0
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9.96203943948574	0	0	0	0	0	0
9.90348755253613	0	0	0	0	0	0
NA	0	0	0	0	1	0
NA	0	0	0	1	0	0
NA	0	0	0	0	0	0
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9.93648703079924	0	0	0	0	0	0
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NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.79812703687830	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	1	0	0	0
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NA	0	0	0	0	0	0
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10.91508846421460	1	0	0	0	0	0
NA	1	0	0	0	0	0
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NA	0	0	0	0	0	0
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9.79255599182885	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	1	0
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NA	0	1	0	0	0	0
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NA	0	0	1	0	0	0
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NA	0	0	0	1	0	0
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9.82994864920126	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.79188537595483	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	1	0	0
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NA	0	0	0	1	0	0
NA	0	0	1	0	0	0
NA	0	0	1	0	0	0
9.87816974455184	0	0	0	0	0	0
10.02104834127530	0	0	0	0	0	0
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NA	0	0	0	1	0	0
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NA	1	0	0	0	0	0
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NA	1	0	0	0	0	0
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NA	0	0	0	0	0	0
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14.33608847317290	0	0	0	0	0	0
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NA	0	0	0	0	0	1
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NA	1	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	1	0	0	0	0	0
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NA	0	1	0	0	0	0
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13.90536314489160	1	0	0	0	0	0
10.82871820397980	1	0	0	0	0	0
NA	1	0	0	0	0	0
NA	1	0	0	0	0	0
9.63240035365618	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.95227771670556	0	0	0	0	0	0
NA	0	0	1	0	0	0
NA	0	0	1	0	0	0
10.80972794855680	0	1	0	0	0	0
11.02565359415800	0	0	0	0	0	0
13.83558275676590	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.44871460301950	0	0	0	0	0	0
13.03024808849650	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.66567230272930	0	0	0	0	0	0
12.49125158776380	0	0	0	0	0	1
NA	1	0	0	0	0	0
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NA	1	0	0	0	0	0
12.36414420010070	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.34397412711440	0	0	1	0	0	0
NA	0	0	1	0	0	0
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11.13671814292900	0	0	0	0	0	0
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12.32740493069770	0	0	0	0	0	0
9.88328484521861	0	0	0	0	0	0
NA	1	0	0	0	0	0
NA	0	0	0	0	0	0
10.32170434456950	0	0	0	0	0	0
NA	0	0	0	0	0	0
12.06912399214390	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.75730504235805	0	0	0	0	1	0
9.81224907210186	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.54534143870850	1	0	0	0	0	0
NA	0	0	0	0	0	0
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10.26813066612400	0	0	0	0	0	0
NA	1	0	0	0	0	0
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9.92260366972836	1	0	0	0	0	0
NA	1	0	0	0	0	0
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10.56519566426070	0	1	0	0	0	0
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NA	0	0	0	0	0	0
9.64949812105082	1	0	0	0	0	0
10.84933708665180	0	0	0	1	0	0
NA	0	0	0	0	0	0
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12.56238602411200	0	0	0	0	0	0
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10.46213143975760	0	0	0	0	0	0
10.28919203246610	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	1	0	0	0	0	0
NA	1	0	0	0	0	0
9.99524597777567	0	0	0	0	0	0
NA	0	0	1	0	0	0
NA	1	0	0	0	0	0
13.05622357489980	0	0	0	0	0	1
NA	0	0	0	0	0	0
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12.88603073109800	1	0	0	0	0	0
11.02059442384040	1	0	0	0	0	0
NA	1	0	0	0	0	0
NA	0	0	1	0	0	0
11.11253744660230	0	0	0	0	0	0
9.83910901859992	1	0	0	0	0	0
10.51867319162640	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.12663110385030	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.65542279319880	0	0	0	0	0	1
10.36577398063750	0	0	0	0	0	0
10.98019500581620	0	0	0	0	0	0
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10.59663473309610	0	0	0	0	0	0
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14.51905549402050	0	0	0	0	0	0
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9.78678518274999	0	1	0	0	0	0
10.01444736284440	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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12.33849029317090	0	0	0	0	0	0
11.91839057307840	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.52485403583550	0	0	0	0	0	0
10.01153445661930	0	1	0	0	0	0
NA	0	1	0	0	0	0
NA	0	0	0	1	0	0
10.12663110385030	0	0	1	0	0	0
10.07162566481360	1	0	0	0	0	0
NA	1	0	0	0	0	0
9.74998666155037	0	1	0	0	0	0
10.49305041683950	0	1	0	0	0	0
10.57479803848690	1	0	0	0	0	0
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12.23611676687860	0	0	0	0	0	1
10.90527685101240	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	1	0	0	0	0
9.76995615991161	0	0	0	0	0	0
9.71323462541589	0	0	0	0	0	0
NA	0	1	0	0	0	0
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9.96345313370356	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	1	0	0	0	0
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12.64357568095550	0	0	0	0	0	0
11.65268740734540	0	0	0	0	0	0
9.92818016512650	0	0	0	0	0	0
9.64192796422992	0	1	0	0	0	0
NA	0	1	0	0	0	0
14.29350219793220	0	0	0	0	0	0
9.95227771670556	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.33154746288850	0	0	1	0	0	0
NA	0	0	1	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
12.64863120577540	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	1	0
10.66865302338470	0	0	0	0	1	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.29876763558590	1	0	0	0	0	0
NA	1	0	0	0	0	0
10.31144954084290	1	0	0	0	0	0
NA	1	0	0	0	0	0
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9.71111565988867	0	0	0	0	0	0
14.51493797648140	0	0	0	0	0	0
9.78712226140486	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.91990209380422	0	0	0	0	0	0
9.94884325425692	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.69350698774820	0	0	0	1	0	0
NA	0	0	0	0	0	0
14.98814686288100	0	0	0	0	0	0
NA	1	0	0	0	0	0
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9.62905070683437	0	0	0	0	0	0
10.55602105021080	0	0	0	0	0	1
NA	0	0	0	0	1	0
NA	0	0	0	0	1	0
10.82396948902880	0	0	0	0	0	0
11.90361528749620	0	0	1	0	0	0
14.25725552067560	0	0	1	0	0	0
11.19680276488660	0	0	0	0	0	0
9.71111565988867	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.01717331693990	0	0	0	0	0	0
10.12262308245280	0	0	0	0	1	0
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11.04509547166530	1	0	0	0	0	0
10.60323788422960	0	0	0	0	0	0
NA	0	1	0	0	0	0
NA	1	0	0	0	0	0
9.67438880418324	0	0	0	0	0	0
12.17087542725470	0	1	0	0	0	0
NA	0	1	0	0	0	0
9.92083619087074	0	0	0	0	1	0
10.12663110385030	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.78931907692560	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.04081174339930	0	0	0	0	0	0
13.25549118860080	0	1	0	0	0	0
9.74096862303835	0	0	1	0	0	0
NA	0	0	0	0	0	0
11.46643116329040	0	0	0	0	0	0
11.75717275754890	0	0	0	0	0	0
11.20525834858540	0	0	0	0	0	0
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11.40275339231520	1	0	0	0	0	0
11.19643231066430	1	0	0	0	0	0
NA	1	0	0	0	0	0
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11.04469626050130	0	0	0	0	0	0
10.44871460301950	0	0	0	0	0	0
NA	0	0	0	0	0	1
10.54534143870850	0	0	0	0	0	0
12.32620846677020	0	0	0	0	0	0
11.65789123522040	0	0	0	0	0	0
11.22632280973800	0	0	0	0	0	0
11.24127420959100	1	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
12.02791441007410	0	0	0	0	0	0
9.91591007253469	0	0	0	0	0	0
10.85096682586630	0	0	0	0	0	0
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9.94951199084741	0	0	0	0	0	0
9.80917687306489	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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11.22791980772190	0	0	0	0	0	0
9.90348755253613	0	0	0	0	0	0
11.00209984120420	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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10.15225986348420	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	1	0	0
10.21178074889200	0	0	0	0	0	0
14.10441638132740	0	0	0	0	0	1
9.70972074805743	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.10389457687650	0	0	0	0	0	0
9.75446536614310	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.89942091206250	0	0	0	0	0	0
11.69774390196280	0	0	1	0	0	0
NA	0	0	0	0	0	0
9.82552601106642	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	1	0	0	0
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10.84933708665180	0	0	0	0	0	0
9.87539667236960	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
12.12725127505400	1	0	0	0	0	0
13.51641830292750	0	0	0	0	0	0
10.53539742362490	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.86899962207745	0	1	0	0	0	0
9.69276652122048	0	1	0	0	0	0
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9.74308403104310	0	1	0	0	0	0
NA	0	1	0	0	0	0
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14.57238483679730	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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11.53517607390500	0	0	0	0	0	0
10.06556388410190	0	0	0	0	0	0
NA	0	0	0	0	1	0
NA	0	0	1	0	0	0
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9.91095956737483	0	0	0	0	0	0
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14.03302147574030	0	0	0	0	0	1
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	1	0	0	0	0
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9.62085935438703	0	0	0	0	0	0
10.37464676383970	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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14.56835063229920	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	1	0	0	0	0
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NA	0	1	0	0	0	0
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13.12498992500620	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	1	0	0	0	0	0
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NA	0	0	1	0	0	0
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NA	1	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	1	0	0	0	0
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NA	0	0	0	0	0	0
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12.61271705798550	0	0	0	0	0	1
10.00333288750580	1	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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12.10625231024800	0	0	0	0	0	0
12.86490525810050	0	1	0	0	0	0
NA	1	0	0	0	0	0
9.73323289696031	0	0	0	0	0	1
NA	0	0	0	0	0	1
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9.92818016512650	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	1	0	0	0	0	0
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11.34918225693750	0	0	0	0	0	0
10.51737505211040	0	0	0	0	0	0
10.06598898188080	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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10.61189273548510	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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9.82978718960617	0	0	0	0	0	0
10.46310334047150	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	1	0
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11.47221804721910	0	0	0	0	0	0
NA	1	0	0	0	0	0
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NA	0	0	0	0	1	0
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10.77726736445810	0	0	0	0	0	0
10.81500691953140	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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10.45036541359460	0	0	0	0	0	0
12.29733372970900	0	0	0	0	0	0
10.30895266064430	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.95702831946416	0	0	0	0	0	0
11.62973024451230	0	0	0	0	0	0
9.69879767988017	0	0	0	0	0	0
9.69387701550450	1	0	0	0	0	0
NA	1	0	0	0	0	0
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11.00209984120420	1	0	0	0	0	0
12.46843690999770	0	0	0	0	0	0
10.42942836411100	1	0	0	0	0	0
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NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.30895266064430	0	0	0	0	0	0
10.08647555387320	0	0	0	0	0	0
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NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.65054598570310	0	0	0	0	0	0
11.44862158296940	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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9.90348755253613	0	0	0	0	0	0
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10.70398576635860	0	0	0	0	0	0
9.65130131576919	0	0	0	1	0	0
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11.19862559461420	0	0	0	1	0	0
10.20651379872250	0	0	0	1	0	0
NA	1	0	0	0	0	0
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12.06870533373730	0	0	0	0	0	0
11.05515075673710	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.59663473309610	1	0	0	0	0	0
11.65572626360190	1	0	0	0	0	0
NA	0	0	0	0	0	0
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10.59715959533180	0	1	0	0	0	0
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NA	0	0	0	0	0	0
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9.97137981857905	0	0	1	0	0	0
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9.85345661893056	0	0	0	0	0	0
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13.16443578982620	0	0	1	0	0	0
9.90448705286921	0	1	0	0	0	0
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NA	0	0	0	0	0	0
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10.04450957024800	0	0	0	0	0	0
11.21187442477950	0	0	0	0	0	0
11.33881014472340	0	0	0	0	0	0
10.33624352088020	0	0	0	0	0	0
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NA	1	0	0	0	0	0
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10.00784756786040	0	0	0	0	0	0
10.41631117896480	0	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	1	0	0	0	0
9.70296129108733	0	0	0	0	0	0
NA	0	0	0	0	0	0
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9.98612688605693	1	0	0	0	0	0
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10.66082944513810	0	0	0	0	0	0
9.80719689221784	0	0	0	0	0	0
NA	1	0	0	0	0	0
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9.79812703687830	0	0	0	0	0	0
9.77468780514454	0	1	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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9.71715797434464	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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10.40426284044860	0	0	0	1	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	1
14.86654195100290	0	1	0	0	0	0
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NA	0	0	0	0	0	0
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13.61598343060100	0	0	0	0	0	0
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15.03100918407880	0	0	0	0	0	1
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NA	0	0	0	0	1	0
NA	0	0	0	0	1	0
9.75504554717585	0	0	0	0	0	0
NA	0	0	0	0	0	0
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10.16819522292800	0	0	1	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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9.90078390096181	0	0	0	0	0	0
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9.85087760226383	0	0	0	0	0	0
NA	0	0	0	0	1	0
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NA	0	0	0	0	0	0
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10.21533770979370	0	0	1	0	0	0
NA	0	0	1	0	0	0
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NA	1	0	0	0	0	0
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10.60388339793200	1	0	0	0	0	0
NA	1	0	0	0	0	0
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10.36091239957500	0	0	1	0	0	0
12.10735667259100	0	0	0	0	0	0
NA	0	1	0	0	0	0
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9.90348755253613	1	0	0	0	0	0
NA	1	0	0	0	0	0
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9.82119230980930	0	0	0	0	0	0
NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	0	0	0	0
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NA	0	0	1	0	0	0
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14.21563141094670	0	0	0	0	0	0
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NA	0	1	0	0	0	0
NA	0	1	0	0	0	0
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10.77128107732470	0	0	0	0	0	0
9.62145615159316	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.18619759739940	1	0	0	0	0	0
NA	0	1	0	0	0	0
11.46268424853350	1	0	0	0	0	0
14.06544948512150	0	0	0	0	0	0
NA	0	0	0	1	0	0
12.82233878175420	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.66567442723748	0	0	1	0	0	0
13.00792848047080	0	0	0	0	0	0
11.51292546497020	0	0	1	0	0	0
NA	0	0	0	0	1	0
NA	0	0	0	0	1	0
10.82637646843850	0	0	0	0	0	0
9.99870681911706	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.58742978713830	0	0	0	0	0	0
10.37349118178190	0	0	0	0	1	0
10.80035078674420	0	0	0	0	0	0
NA	0	0	0	0	0	0
12.09514108482290	0	0	0	0	0	0
10.13400385817980	0	0	0	0	0	0
NA	0	0	0	0	0	0
13.13429194826960	0	0	0	1	0	0
NA	0	0	0	1	0	0
NA	0	0	0	0	0	0
13.48882705498170	1	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.73240262766816	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.91412436325500	0	0	0	0	0	0
9.86266555801587	0	0	0	0	0	0
9.63932667512569	0	0	0	1	0	0
NA	0	0	0	1	0	0
11.06866755214290	1	0	0	0	0	0
9.72400197056138	0	0	1	0	0	0
11.32653564400030	0	0	0	0	0	0
NA	0	0	0	0	0	0
13.29719193163930	0	0	0	0	0	0
10.01663765046880	0	1	0	0	0	0
NA	0	1	0	0	0	0
11.30936392838370	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.86526633971593	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.13559084522180	0	1	0	0	0	0
9.64859530290734	0	1	0	0	0	0
11.67717639369100	0	1	0	0	0	0
11.00209984120420	0	1	0	0	0	0
10.06734808168650	0	0	0	0	0	0
13.26057977821910	0	0	0	0	0	0
11.20638671766810	0	0	0	0	0	0
10.30895266064430	0	0	0	0	0	0
NA	0	0	0	1	0	0
11.66540617975320	0	0	0	0	0	0
10.29231501949130	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.37349118178190	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.64542489726550	0	0	0	0	0	0
12.04920243780350	0	0	1	0	0	0
NA	0	0	1	0	0	0
9.62918227712599	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
9.91086030686554	1	0	0	0	0	0
9.69947238165692	1	0	0	0	0	0
11.62204889198860	0	0	0	0	0	1
10.49182961872990	0	0	0	0	0	0
9.79812703687830	0	0	0	0	0	0
11.47626148059860	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.46310334047150	0	0	0	0	0	0
NA	0	0	0	1	0	0
10.16761948452760	0	0	0	0	0	0
13.27206876296360	0	0	0	0	0	0
9.77854771798028	0	0	0	0	0	0
10.43373337754160	0	0	0	0	0	0
10.90595598065130	0	0	0	0	0	0
13.80984956473550	0	1	0	0	0	0
11.77608172342000	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	1	0	0	0	0
12.70015894529190	0	0	0	0	0	0
15.06938690642210	0	0	0	0	0	1
11.53105021482880	0	0	0	0	0	0
9.94232357632133	0	0	0	0	0	0
11.75665564989280	0	0	0	0	0	0
9.72853875007159	0	0	0	0	0	0
11.01039864401890	0	0	0	0	0	0
10.04102964155460	0	0	0	0	1	0
NA	0	0	0	0	1	0
NA	0	0	0	0	0	0
12.27839330710980	0	0	0	0	0	0
10.24835303851540	0	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	1	0	0	0	0
11.30913100674860	0	0	0	0	0	0
9.83552985935290	0	1	0	0	0	0
11.60823564477460	0	0	0	0	0	0
NA	0	1	0	0	0	0
NA	0	0	0	0	0	0
NA	0	0	0	0	0	0
11.28978191365600	0	0	0	0	0	0
11.08214254887780	0	0	0	0	0	0
12.01793420341470	0	0	0	0	0	0
11.13377117165190	0	1	0	0	0	0
10.85849887252190	0	1	0	0	0	0
9.96697865031733	0	0	0	1	0	0
9.75481351515439	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.22201400828290	0	0	0	0	0	0
10.04324949491130	0	0	0	0	0	0
11.39196614024430	1	0	0	0	0	0
10.22012144693770	0	0	0	0	0	0
NA	0	0	0	0	0	0
10.84060000010260	0	1	0	0	0	0
NA	0	0	0	0	0	0
13.35679814236460	0	0	0	0	0	0
11.68813848252690	1	0	0	0	0	0

library(lattice)
library(lmtest)
library(car)
library(MASS)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
mywarning <- ''
par6 <- as.numeric(par6)
if(is.na(par6)) {
par6 <- 12
mywarning = 'Warning: you did not specify the seasonality. The seasonal period was set to s = 12.'
}
par1 <- as.numeric(par1)
if(is.na(par1)) {
par1 <- 1
mywarning = 'Warning: you did not specify the column number of the endogenous series! The first column was selected by default.'
}
if (par4=='') par4 <- 0
par4 <- as.numeric(par4)
if (!is.numeric(par4)) par4 <- 0
if (par5=='') par5 <- 0
par5 <- as.numeric(par5)
if (!is.numeric(par5)) par5 <- 0
x <- na.omit(t(y))
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
(n <- n -1)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par3 == 'Seasonal Differences (s)'){
(n <- n - par6)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-Bs)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+par6,j] - x[i,j]
}
}
x <- x2
}
if (par3 == 'First and Seasonal Differences (s)'){
(n <- n -1)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
(n <- n - par6)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-Bs)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+par6,j] - x[i,j]
}
}
x <- x2
}
if(par4 > 0) {
x2 <- array(0, dim=c(n-par4,par4), dimnames=list(1:(n-par4), paste(colnames(x)[par1],'(t-',1:par4,')',sep='')))
for (i in 1:(n-par4)) {
for (j in 1:par4) {
x2[i,j] <- x[i+par4-j,par1]
}
}
x <- cbind(x[(par4+1):n,], x2)
n <- n - par4
}
if(par5 > 0) {
x2 <- array(0, dim=c(n-par5*par6,par5), dimnames=list(1:(n-par5*par6), paste(colnames(x)[par1],'(t-',1:par5,'s)',sep='')))
for (i in 1:(n-par5*par6)) {
for (j in 1:par5) {
x2[i,j] <- x[i+par5*par6-j*par6,par1]
}
}
x <- cbind(x[(par5*par6+1):n,], x2)
n <- n - par5*par6
}
if (par2 == 'Include Seasonal Dummies'){
x2 <- array(0, dim=c(n,par6-1), dimnames=list(1:n, paste('M', seq(1:(par6-1)), sep ='')))
for (i in 1:(par6-1)){
x2[seq(i,n,par6),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
(k <- length(x[n,]))
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
print(x)
(k <- length(x[n,]))
head(x)
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
sresid <- studres(mylm)
hist(sresid, freq=FALSE, main='Distribution of Studentized Residuals')
xfit<-seq(min(sresid),max(sresid),length=40)
yfit<-dnorm(xfit)
lines(xfit, yfit)
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqPlot(mylm, main='QQ Plot')
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
print(z)
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, mywarning)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Multiple Linear Regression - Ordinary Least Squares', 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,formatC(signif(mysum$coefficients[i,1],5),format='g',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,2],5),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,3],4),format='e',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4],4),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4]/2,4),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a,formatC(signif(sqrt(mysum$r.squared),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$adj.r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a,formatC(signif(mysum$fstatistic[1],6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a,formatC(signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a,formatC(signif(mysum$sigma,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a,formatC(signif(sum(myerror*myerror),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
myr <- as.numeric(mysum$resid)
myr
a <-table.start()
a <- table.row.start(a)
a <- table.element(a,'Menu of Residual Diagnostics',2,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Description',1,TRUE)
a <- table.element(a,'Link',1,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Histogram',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_histogram.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Central Tendency',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_centraltendency.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'QQ Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_fitdistrnorm.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Kernel Density Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_density.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Skewness/Kurtosis Test',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_skewness_kurtosis.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Skewness-Kurtosis Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_skewness_kurtosis_plot.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Harrell-Davis Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_harrell_davis.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Bootstrap Plot -- Central Tendency',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_bootstrapplot1.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Blocked Bootstrap Plot -- Central Tendency',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_bootstrapplot.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'(Partial) Autocorrelation Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_autocorrelation.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Spectral Analysis',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_spectrum.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Tukey lambda PPCC Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_tukeylambda.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Box-Cox Normality Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_boxcoxnorm.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Summary Statistics',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_summary1.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable7.tab')
if(n < 200) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,formatC(signif(x[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(x[i]-mysum$resid[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$resid[i],6),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,1],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,2],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,3],6),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,formatC(signif(numsignificant1/numgqtests,6),format='g',flag=' '))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of fitted values',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_fitted <- resettest(mylm,power=2:3,type='fitted')
a<-table.element(a,paste('
',RC.texteval('reset_test_fitted'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of regressors',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_regressors <- resettest(mylm,power=2:3,type='regressor')
a<-table.element(a,paste('
',RC.texteval('reset_test_regressors'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of principal components',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_principal_components <- resettest(mylm,power=2:3,type='princomp')
a<-table.element(a,paste('
',RC.texteval('reset_test_principal_components'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable8.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Variance Inflation Factors (Multicollinearity)',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
vif <- vif(mylm)
a<-table.element(a,paste('
',RC.texteval('vif'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable9.tab')