1/18 options(guitoolkit = "RGtk2") library(gwidgets) library(rgtk2) library(cairodevice) library(cairo) lista_plec=c("","mężczyzna","kobieta") lista_wyksztalcenie=c("","bw-brak lub niepełne podstawowe","po-podstawowe","gmgimnazjalne","zz-zasadnicze zawodowe","lz-średnie zawodowe 4-letnie", średnie zawodowe","so-średnie ogólnokształcące","pp-pomaturalne/policealne", wyższe (w tym licencjat)") lista_stan_cywilny=c("","ka/pa-kawaler/panna","zo/me-żonaty/mężatka","ry/rarozwiedziony/rozwiedziona","sm/sk-w separacji","wy/wo-wolny/wolna", wdowiec/wdowa") lista_zawod=c("","0-brak","1-przedst. władz publ., \nwyżsi urzędnicy i kierownicy","2-specjaliści","3-technicy i inny średni personel", biurowi","5-pracownicy usług i sprzedawcy", rybacy","7-robotnicy przemysłowi i rzemieślnicy", maszyn i urządzeń","9-pracownicy przy pracach prostych") lista_liczba_dzieci=c("","0-1","2-3","4-5","6 i więcej") lista_wiek=c("","do 25 lat","od 25 do 34 lat","od 35 do 44 lat","od 45 do 54 lat","55 lat i więcej") lista_staz=c("", "do 5 lat","od 5 do 10 lat","od 10 do 20 lat","od 20 do 30 lat","30 i więcej lat") lista_wsp_ufnosci=c(0.9,0.95,0.975,0.99) lista_gmina=c("","miejska","miejsko-wiejska","wiejska") program = gwindow("profil") dane1=ggroup(horizontal=true,cont=program,expand=true) uklad=glayout(cont=dane1) uklad[1,1,anchor=c(1,0)]="1." uklad[2,1,anchor=c(1,0)]="2." uklad[3,1,anchor=c(1,0)]="3." uklad[4,1,anchor=c(1,0)]="4." uklad[5,1,anchor=c(1,0)]="5." uklad[6,1,anchor=c(1,0)]="6." uklad[7,1,anchor=c(1,0)]="7." uklad[8,1,anchor=c(1,0)]="8." uklad[11,1,anchor=c(1,0)]="9." uklad[12,1,anchor=c(1,0)]="10." uklad[1,2,anchor=c(-1,0)]="płeć:" uklad[2,2,anchor=c(-1,0)]="stan cywilny:" uklad[3,2,anchor=c(-1,0)]="wykształcenie:" uklad[4,2,anchor=c(-1,0)]="grupa zawodów:" uklad[5,2,anchor=c(-1,0)]="liczba dzieci:" uklad[6,2,anchor=c(-1,0)]="wiek:" uklad[7,2,anchor=c(-1,0)]="staż pracy:" uklad[8,2,anchor=c(-1,0)]="rodzaj gminy:" uklad[11,2,anchor=c(-1,0)]="rekomendacja I" uklad[12,2,anchor=c(-1,0)]="rekomendacja II" uklad[14,1:3]=gseparator(horizontal=true) uklad[15,2,anchor=c(1,0)]="numer ewidencyjny:" ne=gedit("",width=0.5) uklad[15,3]=ne lista_sz=c("dowolne","nie brak","brak","aktywizacja-biznes","specjalistyczne ciężkie","biurowo-sklepowo-językowe","transport","lekkie,opieka") funkcja6=function(...) {if (svalue(r1)==lista_sz[3]) {svalue(r2)=lista_sz[3]
2/18 r1=gdroplist(lista_sz,cont=uklad,handler=funkcja6) r2=gdroplist(lista_sz,cont=uklad) uklad[11,3]=r1 uklad[12,3]=r2 a1=gdroplist(lista_plec,cont=uklad) a2=gdroplist(lista_stan_cywilny,cont=uklad) a3=gdroplist(lista_wyksztalcenie,cont=uklad) a4=gdroplist(lista_zawod,cont=uklad) a5=gdroplist(lista_liczba_dzieci,cont=uklad) a6=gdroplist(lista_wiek,cont=uklad) a7=gdroplist(lista_staz,cont=uklad) a8=gdroplist(lista_gmina,cont=uklad) p1=gdroplist(lista_wsp_ufnosci,cont=uklad) uklad[1,3]=a1 uklad[2,3]=a2 uklad[3,3]=a3 uklad[4,3]=a4 uklad[5,3]=a5 uklad[6,3]=a6 uklad[7,3]=a7 uklad[8,3]=a8 uklad[9,2]=p1 uklad[1,5,anchor=c(0,0)]="prognoza CZASU TRWANIA" uklad[2,4,anchor=c(-1,0)]="bez szkoleń" uklad[3,4,anchor=c(-1,0)]="wariant optymistyczny:" uklad[4,4,anchor=c(-1,0)]="wariant pesymistyczny:" b1=gedit("",cont=uklad,coerce.with=as.numeric) c1=gedit("",cont=uklad,coerce.with=as.numeric) d1=gedit("",cont=uklad,coerce.with=as.numeric) e1=gedit("",cont=uklad) e2=gedit("",cont=uklad) uklad[2,5]=b1 uklad[3,5]=c1 uklad[4,5]=d1 dane3=ggroup(horizontal=true,cont=program,expand=true) uklad[5,5,anchor=c(0,0)]="indywidualny EFEKT SZKOLEŃ" uklad[6,4,anchor=c(-1,0)]="aktywizacja-biznes:" uklad[7,4,anchor=c(-1,0)]="specjalistyczne ciężkie:" uklad[8,4,anchor=c(-1,0)]="biurowo-sklepowo-językowe:" uklad[9,4,anchor=c(-1,0)]="transport:" uklad[10,4,anchor=c(-1,0)]="lekkie,opieka:" uklad[11,5,anchor=c(0,0)]="rekomendacje" uklad[12,4,anchor=c(1,0)]="i" uklad[13,4,anchor=c(1,0)]="ii" b2=gedit("",cont=uklad,coerce.with=as.numeric) b3=gedit("",cont=uklad,coerce.with=as.numeric) b4=gedit("",cont=uklad,coerce.with=as.numeric) b5=gedit("",cont=uklad,coerce.with=as.numeric)
3/18 b6=gedit("",cont=uklad,coerce.with=as.numeric) uklad[6,5]=b2 uklad[7,5]=b3 uklad[8,5]=b4 uklad[9,5]=b5 uklad[10,5]=b6 uklad[12,5]=e1 uklad[13,5]=e2 #wektory ocen parametrów modeli dla szkoleń c_k_0=c(633.225214364173,-74.3863847449752,105.189435965965,51.1198247645793, 152.030960500761,254.584900779515,118.601321235287,29.4002550767856, 7.66164700540387, +35.9621039056159,-1.4408710528038,-84.7753052139005,-15.1481911457802, 14.0584646594223,137.64837452304,-77.3270184561152,-83.7572750008997,- 148.028417650758, +50.0806975998072,-57.455494763255,-101.468171973577,125.888356428328,- 20.6640055967324,57.3068957766303,126.550723516636,-238.32549936051,- 271.891878606414, +-181.802060863156,-232.479911387441,-120.384751706163,-94.3729717854275,- 78.4893816824009,-32.9915085700303,73.5878124106947,72.4526426573316) c_k_1=c(418.465745296717,-16.8256879029161,186.687975931534,154.545462615469, 126.073307897799,132.015876391779,293.86581553898,-198.575863641011,- 366.672161200257, +-180.015065240607,-193.757888820762,-207.209526289222,-245.301183234089,- 133.89735675898,-151.053425869282,-72.2212344502577,-138.602344179377,- 192.671245513845, +-234.998671128041,-89.6690621637109,-196.721591229297,-115.502550387124,- 88.5690959239942,-75.7816948956807,-39.2023893582232,-284.046182229623,- 209.91693770681, +-66.6214912816259,-156.573346063177,162.096696296978,129.677561926596, 115.571708151912,97.8903258624655,378.760935594995,373.367749513683) c_k_2=c(697.420896336156,-708.024880767845,-804.855014274774,-640.691721191198, 290.96201598629,323.098530205273,266.784011223547,183.598002484653, 107.755980067153, +240.834821248124,292.72745697581,60.4111961299601,-151.426825184469, 84.0698358929489,45.0710404733456,199.994870733265,61.6028143262826, 81.0313538532167, +-10.0717697917614,209.45859534159,204.703288953651,645.372807485462,- 238.354403123299,-245.830633481458,-210.27807736262,-220.780016787265, 199.711627182355, +284.591686978983,196.766351724231,99.5096426321552,-68.1471009753338,- 51.2663172275737) c_k_3=c(1409.83714977516,-11.5041287500859,-115.539697970453,-162.193343451316,- 5.99815820484241,-255.438624554047,-36.8125218755419,-649.884206505305, +-715.675713075006,-848.539221252763,-696.764989493925,-745.195334725625,- 856.033989501438,-809.037930698895,-830.092981538904,31.0264538640477,- 49.2526609840241, +-78.9641938426028,-201.94763849909,37.0046599269012,-19.2640126164224,- 100.58620619011,-55.8990379204847,-30.6686302278344,34.0042524285515, 110.574679844101, +-162.278972103195,-216.058344410605,-82.2936947010143,-155.680177351033, 51.7578508552641,53.7419743820667,-54.5940082366148,-9.41834215697691, 209.305387775132,197.00779676386) c_k_4=c(1128.20382633189,33.8411833795769,-301.298928837003,-336.008596852458,- 470.732985494726,-280.191109512542,-137.503645909878,-238.361858281232,- 246.692338345836,
4/18 +-316.658549091807,-258.603923154578,-247.111947924148,-308.366883120675,- 146.190250255476,-196.773041506979,259.81537427537,4.49743664029335,- 43.7838689773062,86.4926330825451, +171.837014853906,119.438123967129,-13.1714459472464,119.4877984208,- 102.827700832985,-69.8697480915797,-317.76461747942,-279.50490031045,- 191.019846825089,-109.373554380655, +94.542477253536,69.8164769174749,109.794225630731,35.6705451055343, 14.5881937749679) c_k_5=c(1099.21943803905,-239.475859735166,148.297290986237,97.0598150460421, 73.5426431362092,244.875880461706,-16.2634224352502,-527.123534699867,- 552.945049270759,-463.596729888902, +-515.325700779576,-550.686053938035,-548.228248561379,-512.157980633895,- 653.219455819427,-142.514791559549,109.462669399823,41.0181694943933,- 124.464635178566,-79.6323907918489, +236.086482610987,-124.674806990168,69.188580651283,71.7587626308804, 216.183347000389,139.244842087895,227.12116823133,159.020680347972, 229.06521593534,224.121914422083,-60.3019978623943, +-50.7535095622534,-166.709423670867,-244.035716307571,-232.323355996088,- 222.005572498283) c_b_1=c(730.499670309199,-6.27093789344098,475.452895054498,471.065837487058, 471.52975163282,121.942258235832,454.594824617603,-7.46272958077383,- 115.69253513094,-356.652855169672, +-161.286307962391,-131.235014643426,-222.297151073514,-29.6877256289358,- 61.6551273785012,-23.3495443631656,-0.329162403332976,0.956007429281633, 68.4947662757264,-107.357015992422, +-6.25594815909096,6.76099334475156,-4.04252951600069,-148.470354987448,- 30.772126392392,161.792391828878,-25.7637307146373,-25.2806231116948,- 273.264639449381,-302.675311621882, +-282.287912155156,-118.527955480114,-240.758420179461,-103.570306541708) c_b_2=c(-176.9870295646,21.9150635569226,-52.4422273245845,47.4937875348632, 569.832573228328,735.818627657603,698.475962008228,470.977420762193, 606.617422050745,-297.52660669153, +-393.341449381542,-500.826555061863,-666.273394887956,-468.729936114709,- 328.824831921761,-295.843243791809,347.984305172211,410.24197890966, 997.13396900718,-91.7536353664189, +-283.159091217257,-350.77030652911,-116.998491681935,316.621807654623, 653.766053331072,451.089132198648,219.960896827962,-172.852476364093, 36.5693347956965) c_b_3=c(-693.399971387769,-110.945287685524,488.328135822014,491.82864537492, 497.108636777499,270.688526142247,510.697190786332,-73.7674264666915,- 25.9281086849354,-19.9580454207878, +21.758907926087,16.4246768983206,-67.295124838609,-61.1763881496983, 27.2291682609497,-29.6056266184918,-69.3540603188082,-43.5477013308553,- 60.1636078391549,-40.5670180588817, +89.2897252205914,118.495135714631,231.971426988414,318.666135864798, 699.529204965912,-376.797319006596,-320.204825425083,-369.371317703609,- 210.196337658248,509.570317591426, +415.416688796441,511.903659796719,427.722235278626,432.856934615848, 449.747961369712) c_b_4=c(716.633510080487,109.387004500637,484.494089763262,396.095277236845, 698.59033542428,760.434620628965,634.151622202305,-729.048240076917,- 408.377508926589,-488.938280799178, +-490.583830364358,-494.202505810462,-547.374813681436,-184.515528487751, 65.0400116999262,-341.391702538808,136.478463640034,-140.684815563392, 73.3282425854211,30.8619856385909, +39.9939921277847,105.139381375472,-201.219967683397,-146.103959408998,- 148.307405842732,-150.538649141648,-187.404935146064,-83.1612776470842,- 99.4669422054176,-147.731596318293,-41.99218614126,-61.0799499190843, 39.0012477471267)
5/18 c_b_5=c(680.400255483984,-180.791904991241,438.43983419641,342.585238934719, 451.53818642004,-244.791904991241,136.810078241582,32.3232439951324, 316.53260716435,326.182146861728, +120.2129209406,349.621798025851,-902.953088766121,-1474.43764906108,- 890.139238687799,-1119.16604505713,-937.550293628713,-1082.92235403025,- 858.195296871382,-821.694108555376, +18.7199425731098,264.878044657028,163.60893544323,442.929030250342, 279.639635809176,479.178590828898,484.555737247942,-117.870972833569,- 353.902201071052,47.3104059325853) #wariancje resztowe war_k_0=104012.3 wk_k_0=c(20453.1840505588,-38.8614315021,-3600.0995013712,-3690.7486717413,- 3739.6144591091,-3678.7624744265,-3776.9830419122,-3724.2705758229,- 3583.2428100817,-3734.5193880945,-3568.7403113129,-3625.4933879187,- 3514.1242444808,-3722.6448557131,-959.6575029691,-982.9949024815,- 982.8485506303,-1029.8457168896,-917.9432734703,-881.1236853415,-870.9625396897, -849.8559423962,-4600.3101467134,-4599.5588584542,-4552.8290352089, 30.7202003507,53.3165563665,-137.4025363786,-240.1983767477,-2390.8346166875,- 2373.8058386155,-2247.6013500136,-2149.8664179065,-5347.4212334053,- 5353.3147998689,-38.8614315021,173.7459283243,-52.5658974774,-7.3881752723,- 14.4935769419,-56.5784274076,21.973023889,-23.9643680349,-26.7435112587,- 19.3211770493,-9.1471582185,0.0514371178,17.6032711071,18.1407582461,- 5.6723908335,-3.3223869041,-8.1074905792,-1.1934091373,31.4969322486,- 56.8831145605,-63.2203952157,-32.1124853722,-29.9467912754,-3.222941188,- 4.8943375389, +34.0305453955,14.192195879,19.4313330706,16.4153925608,37.4501668976, 24.3393510247,23.0220942226,18.4512048467,-9.9588105023,-8.8895061955,- 3600.0995013712,-52.5658974774,3834.1472231846,3637.1153026527,3605.8186212687, 3649.2632053451,3589.1132834563,-91.5473212406,-113.9819590319,-99.2838882215,- 113.8918734581,-126.2659484165,-146.1733799185,-123.2772277749,46.1436598071, 61.6252191406,36.9910260871,3.8393708031,23.2429911807,17.0434635581, 54.849800099,-7.6054312679,50.1407646311,91.6406371018,172.401071535,- 201.4911685779,-129.7655544511,-26.0944270042,-27.0246976003,7.9511557634, 50.4253857442,68.638441788,13.9487842486,33.7569586334,26.3147547801,- 3690.7486717413,-7.3881752723,3637.1153026527,3686.0061352088,3610.9034391238, 3620.7905789059,3614.3084417126,-80.0896049611,-93.6300294778,-92.4745463018,- 96.3253027389,-99.7723376411,-122.4553149048,-75.4847492504,44.2831071148, +71.9479109762,37.4012883034,17.293081758,17.7770036488,17.9679167569, 50.3295339416,-3.1864533607,60.3195913841,56.1169814552,147.1858159373,- 28.2420770559,-28.7717182828,12.249881395,-2.1808894894,52.6968682409, 60.6983494922,79.9703617583,24.021627051,34.5695662095,24.6830747652,- 3739.6144591091,-14.4935769419,3605.8186212687,3610.9034391238,4877.1933315866, 3625.0235011382,3616.6998152498,-49.9878572294,-39.7576564973,-45.9313648703,- 28.976240664,-37.6799067883,-56.8637185203,-7.5484722188,51.5162368317, 67.4823440805,39.6004283493,12.5755075262,20.0956810861,32.8709565543, 61.015687393,19.4526503492,96.4130026589,105.9664963353,203.7502366592,- 11.5614472056,-1.2190920189,-10.0033477096,-13.5851781684,43.2876854347, 36.0484701389,75.9264909774,4.6118143726,1.6218315287,13.0806898697,- 3678.7624744265,-56.5784274076,3649.2632053451,3620.7905789059,3625.0235011382, +4206.7842605041,3613.1527688562,-107.2297069123,-104.7788990502,-110.150882574, -104.4506275778,-112.0458313375,-131.4244913939,-82.6149754595,45.7394812547, 62.758896035,41.4957534097,7.6043904788,15.6777670366,16.3706389974, 51.4124901439,-3.9191525018,52.7871955129,97.8745537104,207.4476942826, 1.8291435352,13.4202910553,29.4079330249,-21.7029145171,-21.06205839, 9.5387207021,30.2302948925,-0.5274228451,90.1738730656,91.7285878726,- 3776.9830419122,21.973023889,3589.1132834563,3614.3084417126,3616.6998152498, 3613.1527688562,7156.9813618801,92.76400549,78.4812114967,84.6752876143, 102.8910049075,73.9274495249,101.87447585,103.2128030874,60.689036073, 44.355936459,23.2344526486,-26.7895090095,27.8218251618,33.8841934454, 52.5432188734,-26.7581245171,8.6396559088,-26.1574557297,157.9861195002, 111.5023286402,119.6336777442,151.5855185192,79.4134207075,-79.6965882215,
6/18 +-87.3992322844,-32.2762126524,-129.6147357885,8.7871698144,5.6753795041,- 3724.2705758229,-23.9643680349,-91.5473212406,-80.0896049611,-49.9878572294,- 107.2297069123,92.76400549,3769.1454013778,3637.2506097986,3636.204709339, 3599.5965540665,3630.7998894561,3598.3230744017,3614.741309745,13.4207858967, 57.6441389062,103.8531506563,48.3841889846,35.1878810447,47.8812812215, 12.7322289521,9.3904133074,71.6333369073,97.1256075901,5.4700670865, 37.3074202946,11.8640270492,-26.6180402564,25.6524883263,35.4261627309, 75.5792868571,20.8968155383,25.5011079916,32.7466370592,18.8823262888,- 3583.2428100817,-26.7435112587,-113.9819590319,-93.6300294778,-39.7576564973,- 104.7788990502,78.4812114967,3637.2506097986,5273.3197448522,3647.5374571243, 3686.0959713845,3754.2831899904,3674.1539433542,3715.3019628182,-28.068201761,- 12.7149432194,49.3198205606,22.9685542615,38.748141485,48.1336604105, +21.8616130798,71.2461098494,20.3504986282,52.3914721931,-22.0059970179,- 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7/18 +7.6043904788,-26.7895090095,48.3841889846,22.9685542615,117.4162284202,- 135.056096866,-45.8098402544,-166.595305424,-167.7198286489,1033.6374905707, 1198.3127773183,1127.7915382418,1896.638451021,986.8661813155,915.6903251958, 935.4542185384,930.0111054916,-2.0074720872,33.3708002102,62.1406017884,- 67.3885326802,-107.1197662999,-23.411771776,-27.3491240507,77.5280829718, 97.0829232316,33.9960906786,22.4824825445,-15.0623570795,18.674921686,- 917.9432734703,31.4969322486,23.2429911807,17.7770036488,20.0956810861, 15.6777670366,27.8218251618,35.1878810447,38.748141485,66.5906571945, 11.2263503123,11.7319523299,14.7663388614,36.1358097759,972.1694895643, 977.6746097454,972.4898860361,986.8661813155,1134.4120906224,910.4279407451, 909.9924428046,909.9258094929,-35.2832650406,-14.6825282538,21.541581673,- 126.0937387815,-116.9683296993,-14.6424597719,-28.7096969193,32.9612078757, +12.0331688549,-21.1609057195,-6.2249169516,-32.6241267442,2.687589828,- 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8/18 +-11.4777157133,-4.1565800315,-23.411771776,-14.6424597719,-28.9011650145,- 28.4971377195,-4.5978194403,32.0778054841,-26.6575044521,-4.6192456751, 621.2949807561,614.4599146108,759.2741267425,502.4558685628,-459.3205137535,- 482.2245000055,-388.6617913689,-214.979988006,26.3627510155,24.0649688505,- 240.1983767477,16.4153925608,-27.0246976003,-2.1808894894,-13.5851781684,- 21.7029145171,79.4134207075,25.6524883263,8.2989537402,0.9991484544,- 1.5378555002,13.3770501704,10.4438853,16.646924929,-36.5042025235,-23.123039956, -22.6568038982,-27.3491240507,-28.7096969193,-33.2747050882,-18.8462158272,- 53.3392809636,69.859952158,28.4053270823,6.207247882,504.2987319955, 496.7764813445,502.4558685628,648.7977300812,-313.900742343,-326.0248135282,- 341.7555652024,-248.1050754093,26.7764680354,21.6830949071,-2390.8346166875, 37.4501668976,7.9511557634,52.6968682409,43.2876854347, +-21.06205839,-79.6965882215,35.4261627309,61.8546265754,75.7816318141, 78.9825079312,72.4339931346,50.3693508967,96.6417653424,-3.4321840374,- 17.5894389572,1.6348608025,77.5280829718,32.9612078757,54.9053665063, 43.9354561476,7.9378265725,105.3261320565,90.961524957,34.5588816895,- 525.3594057915,-524.1264998991,-459.3205137535,-313.900742343,2678.670241482, 2562.5498496554,2459.5658470138,2329.5091744332,29.5944541869,12.4771428618,- 2373.8058386155,24.3393510247,50.4253857442,60.6983494922,36.0484701389, 9.5387207021,-87.3992322844,75.5792868571,99.5274638712,93.9133261557, 103.9545500635,95.6254444807,86.9545673722,134.337502414,17.4536446235,- 6.4129209609,-0.1953480615,97.0829232316,12.0331688549,33.2626808926, 30.2726057635,-13.1768787308,79.5613795188,67.6070341062,20.6923628739,- 463.6212232284,-492.0588235975,-482.2245000055,-326.0248135282,2562.5498496554, +2744.7241171556,2461.2620874036,2332.1909011775,23.7889611775,11.5270353374,- 2247.6013500136,23.0220942226,68.638441788,79.9703617583,75.9264909774, 30.2302948925,-32.2762126524,20.8968155383,26.6583456832,32.2887638623, 30.8254382342,22.656339218,11.1316513137,56.8881250742,-21.5041208733,- 55.204176394,-37.1697778374,33.9960906786,-21.1609057195,-8.8061443853,- 53.3649438224,-49.0673231966,45.8710093174,21.8654850146,-8.3971656674,- 357.1465982627,-367.1622870908,-388.6617913689,-341.7555652024,2459.5658470138, 2461.2620874036,2684.3367383895,2333.8622707588,18.0513372388,10.7958573589,- 2149.8664179065,18.4512048467,13.9487842486,24.021627051,4.6118143726,- 0.5274228451,-129.6147357885,25.5011079916,20.5672464066,33.6248740841, 21.0150414888,16.6354252453,8.6305702333,58.4249503089,-3.2875608115,- 55.1891346916,-30.3523583211,22.4824825445,-6.2249169516,-7.2605655145, +-55.1550530683,-6.5239082485,-4.3938838717,-24.2817103073,-52.004299134,- 207.7974674332,-209.2541557558,-214.979988006,-248.1050754093,2329.5091744332, 2332.1909011775,2333.8622707588,2682.7357482102,-5.9036273677,-4.524023245,- 5347.4212334053,-9.9588105023,33.7569586334,34.5695662095,1.6218315287, 90.1738730656,8.7871698144,32.7466370592,-16.199230086,37.2777191152, 3.1557631603,30.9132573343,-16.3169896855,77.725202573,-32.830138032,- 3.0224754482,-16.3921707009,-15.0623570795,-32.6241267442,-26.3994231438,- 45.4009223986,-31.0975034545,32.6389214294,29.0697730547,12.7641162685, 48.8464504992,23.2177184908,26.3627510155,26.7764680354,29.5944541869, 23.7889611775,18.0513372388,-5.9036273677,5303.5414537497,5231.5251508677,- 5353.3147998689,-8.8895061955,26.3147547801,24.6830747652,13.0806898697, 91.7285878726,5.6753795041,18.8823262888,-19.6511129653,28.9484271578, +-5.1275281678,40.3507090777,-16.8716228351,87.7548348488,-14.2418830166, 25.2923464522,10.6489790078,18.674921686,2.687589828,-7.276172769,- 32.9409686299,-16.065281264,49.8590865048,43.6773299626,13.7084760345, 34.2638862618,10.2197755008,24.0649688505,21.6830949071,12.4771428618, 11.5270353374,10.7958573589,-4.524023245,5231.5251508677,5293.4707217276) macierz_k_0=array(wk_k_0,dim=c(length(wk_k_0)^0.5,length(wk_k_0)^0.5)) funkcja1=function(...) {if ((svalue(a1)=="") (svalue(a2)=="") (svalue(a3)=="") (svalue(a4)=="") (svalue(a5)=="") (svalue(a6)=="") (svalue(a7)=="") (svalue(a8)=="")) {gmessage("uzupełnij brakujące dane", title="brak",icon="error") else {x=c(1:44)
9/18 for (i in(1:2)) {x[i]=ifelse(svalue(a1)==lista_plec[i+1],1,0) for (i in(1:6)) {x[i+2]=ifelse(svalue(a2)==lista_stan_cywilny[i+1],1,0) for (i in(1:9)) {x[i+8]=ifelse(svalue(a3)==lista_wyksztalcenie[i+1],1,0) for (i in(1:10)) {x[i+17]=ifelse(svalue(a4)==lista_zawod[i+1],1,0) for (i in(1:4)) {x[i+27]=ifelse(svalue(a5)==lista_liczba_dzieci[i+1],1,0) for (i in(1:5)) {x[i+31]=ifelse(svalue(a6)==lista_wiek[i+1],1,0) for (i in(1:5)) {x[i+36]=ifelse(svalue(a7)==lista_staz[i+1],1,0) for (i in(1:3)) {x[i+41]=ifelse(svalue(a8)==lista_gmina[i+1],1,0) xx_k_0=c(1,x[1],x[3],x[4],x[5],x[7],x[8],x[10],x[11],x[12],x[14],x[15],x[16], x[17],x[18],x[20],x[21],x[22],x[23],x[25],x[26],x[27],x[28],x[29],x[30],x[32], x[33],x[34],x[35],x[37],x[38],x[39],x[40],x[42],x[44]) xx_k_1=c(1,x[1],x[3],x[4],x[5],x[6],x[7],x[10],x[11],x[12],x[13],x[14],x[15], x[16],x[17],x[18],x[20],x[21],x[22],x[23],x[24],x[25],x[27],x[28],x[29],x[32], x[33],x[34],x[35],x[37],x[38],x[39],x[40],x[42],x[44]) xx_k_2=c(1,x[3],x[4],x[7],x[10],x[11],x[12],x[14],x[15],x[16],x[17],x[18],x[20], x[21],x[23],x[24],x[25],x[26],x[27],x[28],x[29],x[30],x[32],x[33],x[34],x[35], x[37],x[38],x[39],x[40],x[42],x[44]) xx_k_3=c(1,x[1],x[3],x[4],x[5],x[6],x[7],x[9],x[10],x[11],x[12],x[14],x[15], x[16],x[17],x[18],x[20],x[21],x[22],x[23],x[24],x[25],x[27],x[28],x[29],x[30], x[32],x[33],x[34],x[35],x[37],x[38],x[39],x[40],x[42],x[44]) xx_k_4=c(1,x[1],x[3],x[4],x[6],x[7],x[8],x[9],x[10],x[11],x[12],x[14],x[15], x[16],x[17],x[18],x[21],x[22],x[23],x[24],x[25],x[26],x[27],x[28],x[29],x[32], x[33],x[34],x[35],x[37],x[38],x[39],x[40],x[42]) xx_k_5=c(1,x[1],x[3],x[4],x[5],x[6],x[7],x[9],x[10],x[11],x[12],x[14],x[15], x[16],x[17],x[18],x[20],x[21],x[22],x[23],x[24],x[25],x[27],x[28],x[29],x[30], x[32],x[33],x[34],x[35],x[37],x[38],x[39],x[41],x[42],x[44]) xx_b_1=c(1,x[1],x[3],x[4],x[5],x[6],x[7],x[10],x[11],x[12],x[14],x[15],x[16], x[17],x[18],x[20],x[21],x[22],x[23],x[24],x[25],x[27],x[28],x[29],x[33],x[34], x[35],x[36],x[37],x[38],x[39],x[40],x[42],x[44]) xx_b_2=c(1,x[3],x[4],x[7],x[10],x[11],x[12],x[14],x[15],x[18],x[21],x[23],x[24], x[25],x[26],x[27],x[28],x[29],x[30],x[32],x[33],x[34],x[35],x[37],x[38],x[39], x[40],x[42],x[44]) xx_b_3=c(1,x[1],x[3],x[4],x[6],x[7],x[8],x[10],x[11],x[12],x[14],x[15],x[16], x[17],x[18],x[20],x[21],x[22],x[23],x[24],x[25],x[26],x[28],x[29],x[30],x[32], x[33],x[34],x[35],x[37],x[38],x[39],x[40],x[42],x[44]) xx_b_4=c(1,x[1],x[3],x[4],x[5],x[6],x[7],x[9],x[10],x[11],x[12],x[14],x[15], x[17],x[18],x[20],x[21],x[22],x[23],x[25],x[26],x[27],x[28],x[29],x[32],x[33], x[34],x[35],x[37],x[38],x[39],x[40],x[44]) xx_b_5=c(1,x[1],x[3],x[4],x[5],x[8],x[10],x[11],x[12],x[14],x[15],x[17],x[18], x[20],x[21],x[22],x[23],x[24],x[25],x[27],x[28],x[29],x[31],x[32],x[33],x[34], x[35],x[37],x[38],x[42]) #prognozy prognoza_k_0=t(xx_k_0)%*%c_k_0*(t(xx_k_0)%*%c_k_0>=0) prognoza_k_1=t(xx_k_1)%*%c_k_1*(t(xx_k_1)%*%c_k_1>=0) prognoza_k_2=t(xx_k_2)%*%c_k_2*(t(xx_k_2)%*%c_k_2>=0) prognoza_k_3=t(xx_k_3)%*%c_k_3*(t(xx_k_3)%*%c_k_3>=0) prognoza_k_4=t(xx_k_4)%*%c_k_4*(t(xx_k_4)%*%c_k_4>=0) prognoza_k_5=t(xx_k_5)%*%c_k_5*(t(xx_k_5)%*%c_k_5>=0) prognoza_b_1=t(xx_b_1)%*%c_b_1*(t(xx_b_1)%*%c_b_1>=0) prognoza_b_2=t(xx_b_2)%*%c_b_2*(t(xx_b_2)%*%c_b_2>=0) prognoza_b_3=t(xx_b_3)%*%c_b_3*(t(xx_b_3)%*%c_b_3>=0) prognoza_b_4=t(xx_b_4)%*%c_b_4*(t(xx_b_4)%*%c_b_4>=0) prognoza_b_5=t(xx_b_5)%*%c_b_5*(t(xx_b_5)%*%c_b_5>=0)
10/18 svalue(b1)=round(prognoza_k_0,0) svalue(b2)=ifelse((-1)*round(prognoza_b_1-prognoza_k_1,0)>svalue(b1),(- 1)*svalue(b1),round(prognoza_B_1-prognoza_K_1,0)) svalue(b3)=ifelse((-1)*round(prognoza_b_2-prognoza_k_2,0)>svalue(b1),(- 1)*svalue(b1),round(prognoza_B_2-prognoza_K_2,0)) svalue(b4)=ifelse((-1)*round(prognoza_b_3-prognoza_k_3,0)>svalue(b1),(- 1)*svalue(b1),round(prognoza_B_3-prognoza_K_3,0)) svalue(b5)=ifelse((-1)*round(prognoza_b_4-prognoza_k_4,0)>svalue(b1),(- 1)*svalue(b1),round(prognoza_B_4-prognoza_K_4,0)) svalue(b6)=ifelse((-1)*round(prognoza_b_5-prognoza_k_5,0)>svalue(b1),(- 1)*svalue(b1),round(prognoza_B_5-prognoza_K_5,0)) #krańce przedziałów ufności dla szkoleń dg_k_0=prognoza_k_0-abs(qnorm((1- svalue(p1))/2))*(t(xx_k_0)%*%macierz_k_0%*%xx_k_0+war_k_0)^0.5 gg_k_0=prognoza_k_0+abs(qnorm((1- svalue(p1))/2))*(t(xx_k_0)%*%macierz_k_0%*%xx_k_0+war_k_0)^0.5 svalue(c1)=round(dg_k_0,0)*(round(dg_k_0,0)>=0) svalue(d1)=round(gg_k_0,0)*(round(gg_k_0,0)>=0) #wykres1=barplot(c(svalue(b2),svalue(b3),svalue(b4),svalue(b5),svalue(b6)), xlim=c(-600,700),cex.main=c(0.8),width=0.9,names.arg=c("ab","sc","bsj","tr", "LO"),horiz=TRUE,main="INDYWIDUALNY EFEKT SZKOLEŃ",col=c("green")) nazwy=c("aktywizacja-biznes","specjalistyczne ciężkie","biurowo-sklepowojęzykowe","transport","lekkie,opieka") y=c(svalue(b2),svalue(b3),svalue(b4),svalue(b5),svalue(b6)) yy=cbind(y,nazwy) zz=yy[order(y),] svalue(e1)=ifelse(zz[1,1]<0,zz[1,2],"") svalue(e2)=ifelse(zz[2,1]<0,zz[2,2],"") dev.off() funkcja2=function(...) { svalue(a1)="" svalue(a2)="" svalue(a3)="" svalue(a4)="" svalue(a5)="" svalue(a6)="" svalue(a7)="" svalue(a8)="" svalue(b1)="" svalue(b2)="" svalue(b3)="" svalue(b4)="" svalue(b5)="" svalue(b6)="" svalue(c1)="" svalue(d1)="" svalue(e1)="" svalue(e2)="" svalue(ne)="" svalue(r1)="dowolne" svalue(r2)="dowolne" dev.off()
11/18 funkcja3=function(...) { wykres1=barplot(c(svalue(b2),svalue(b3),svalue(b4),svalue(b5),svalue(b6)), xlim=c(-600,700),cex.main=c(0.8),width=0.9,names.arg=c("ab","sc","bsj","tr", "LO"),horiz=TRUE,main="INDYWIDUALNY EFEKT SZKOLEŃ",col=c("green")) funkcja4=function(...) { if (((svalue(r1)==lista_sz[4]) & (svalue(r2)==lista_sz[4])) ((svalue(r1)==lista_sz[5]) & (svalue(r2)==lista_sz[5])) ((svalue(r1)==lista_sz[6]) & (svalue(r2)==lista_sz[6])) ((svalue(r1)==lista_sz[7]) & (svalue(r2)==lista_sz[7])) ((svalue(r1)==lista_sz[8]) & (svalue(r2)==lista_sz[8]))) {gmessage(c("w zakresie określonych typów szkoleń REKOMENDACJA1 nie może byc równa REKOMENDACJA2"),title="Błąd", icon="error") else { setwd("c:\\bazy") dane1=read.csv2("danebieżąceprofil.csv") if (sum(duplicated(dane1$nrewid))>0) {gmessage(c("wielokrotne identyfikatory: ", sum(duplicated(dane1$nrewid))), title="błąd",icon="error") else {teryt=read.csv2("teryt.csv") dane=merge(dane1,teryt,by.x="ktg",by.y="kod",all=false) attach(dane) plec=ifelse(płeć=="mężczyzna",1,0) sc_ka_pa=ifelse((stanc=="rps007 KA" StanC=="RPs007 PA"),1,0) sc_zo_me=ifelse((stanc=="rps007 ZO" StanC=="RPs007 ME"),1,0) sc_ra_ry=ifelse((stanc=="rps007 RA" StanC=="RPs007 RY"),1,0) sc_sm_sk=ifelse((stanc=="rps007 SM" StanC=="RPs007 SK"),1,0) sc_wy_wo=ifelse((stanc=="rps007 WY" StanC=="RPs007 WO"),1,0) sc_wa_wb=ifelse((stanc=="rps007 WA" StanC=="RPs007 WB"),1,0) wyksz_bw=ifelse(poziomw=="rps002 BW",1,0) wyksz_po=ifelse(poziomw=="rps002 PO",1,0) wyksz_gm=ifelse(poziomw=="rps002 GM",1,0) wyksz_zz=ifelse(poziomw=="rps002 ZZ",1,0) wyksz_lz=ifelse(poziomw=="rps002 LZ",1,0) wyksz_sz=ifelse(poziomw=="rps002 SZ",1,0) wyksz_so=ifelse(poziomw=="rps002 SO",1,0) wyksz_pp=ifelse(poziomw=="rps002 PP",1,0) wyksz_wy=ifelse(poziomw=="rps002 WY",1,0) zawod_0=ifelse(is.na(zawód),1,ifelse(substring(zawód,1,1)==0,1,0)) zawod_1=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==1,1,0)) zawod_2=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==2,1,0)) zawod_3=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==3,1,0)) zawod_4=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==4,1,0)) zawod_5=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==5,1,0)) zawod_6=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==6,1,0)) zawod_7=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==7,1,0)) zawod_8=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==8,1,0)) zawod_9=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==9,1,0)) dane$zawód=ifelse(is.na(dane$zawód),0,dane$zawód) LD01=ifelse((Dzieci==0 Dzieci==1),1,0)
12/18 LD23=ifelse((Dzieci==2 Dzieci==3),1,0) LD45=ifelse((Dzieci==4 Dzieci==5),1,0) LD6=ifelse(Dzieci>=6,1,0) wiek_do25=ifelse(wiek<25,1,0) wiek_od25do35=ifelse((wiek>=25 & Wiek<35),1,0) wiek_od35do45=ifelse((wiek>=35 & Wiek<45),1,0) wiek_od45do55=ifelse((wiek>=45 & Wiek<55),1,0) wiek_od55=ifelse(wiek>=55,1,0) KAT.WIEK=1+wiek_do25+2*wiek_od25do35+3*wiek_od35do45+4*wiek_od45do55+5*wiek_od55 dni=as.numeric(ifelse(okreszas<=99,okreszas,ifelse(okreszas>=100 & OkresZas<=999,substring(OkresZas,2,3),ifelse(OkresZas>=1000 & OkresZas<=9999, substring(okreszas,3,4),ifelse(okreszas>=10000 & OkresZas<=99999, substring(okreszas,4,5),substring(okreszas,5,6)))))) miesiace=as.numeric(ifelse(okreszas<=99,0,ifelse(okreszas>=100 & OkresZas<=999, substring(okreszas,1,1),ifelse(okreszas>=1000 & OkresZas<=9999, substring(okreszas,1,2),ifelse(okreszas>=10000 & OkresZas<=99999, substring(okreszas,2,3),substring(okreszas,3,4)))))) lata=as.numeric(ifelse(okreszas<=9999,0,ifelse(okreszas>=10000 & OkresZas<=99999,substring(OkresZas,1,1),substring(OkresZas,1,2)))) staz=lata+miesiace/12+dni/365 staz_do5lat=ifelse(staz<5,1,0) staz_od5do10lat=ifelse(staz>=5 & staz<10,1,0) staz_od10do20lat=ifelse(staz>=10 & staz<20,1,0) staz_od20do30lat=ifelse(staz>=20 & staz<30,1,0) staz_od30lat=ifelse(staz>=30,1,0) KAT. STAZ=1+staz_do5lat+2*staz_od5do10lat+3*staz_od10do20lat+4*staz_od20do30lat+5*staz_od30la gm=ifelse(is.na(rodzaj.gminy),0,ifelse(rodzaj.gminy=="miejska",1,0)) gmw=ifelse(is.na(rodzaj.gminy),0,ifelse(rodzaj.gminy=="miejsko-wiejska",1,0)) gw=ifelse(is.na(rodzaj.gminy),0,ifelse(rodzaj.gminy=="wiejska",1,0)) XXX=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_WY_WO,sc_WA_WB,wyksz_PO,wyksz_GM, wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_7,zawod_8,zawod_9,ld01,ld23,ld45, dane$prognoza=round(xxx%*%c_k_0,0) dane$zagrożenie=ifelse(dane$prognoza>365,"tak","") XXX_B_1=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_PO, wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23, wiek_od25do35,wiek_od35do45,wiek_od45do55,wiek_od55, XXX_B_2=cbind(1,sc_KA_PA,sc_ZO_ME,sc_WY_WO,wyksz_PO,wyksz_GM,wyksz_ZZ,wyksz_SZ, wyksz_so, +zawod_0,zawod_3,zawod_5,zawod_6,zawod_7,zawod_8,zawod_9,ld01,ld23,ld45, XXX_B_3=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_SM_SK,sc_WY_WO,sc_WA_WB,wyksz_PO, wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy,
13/18 +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_8,ld01,ld23,ld45, XXX_B_4=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_BW, wyksz_po,wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_7,zawod_8,zawod_9,ld01,ld23, +staz_do5lat,staz_od5do10lat,staz_od10do20lat,staz_od20do30lat,gw) XXX_B_5=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_WA_WB,wyksz_PO,wyksz_GM, wyksz_zz,wyksz_sz,wyksz_so,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23,ld6, +staz_do5lat,staz_od5do10lat,gm) XXX_K_1=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_PO, wyksz_gm,wyksz_zz,wyksz_lz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23, XXX_K_2=cbind(1,sc_KA_PA,sc_ZO_ME,sc_WY_WO,wyksz_PO,wyksz_GM,wyksz_ZZ,wyksz_SZ, wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_5,zawod_6,zawod_7,zawod_8,zawod_9,ld01,ld23,ld45, XXX_K_3=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_BW, wyksz_po,wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23,ld45, XXX_K_4=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_SM_SK,sc_WY_WO,sc_WA_WB,wyksz_BW, wyksz_po,wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_8,zawod_9,ld01,ld23, +staz_do5lat,staz_od5do10lat,staz_od10do20lat,staz_od20do30lat,gm) XXX_K_5=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_BW, wyksz_po,wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23,ld45, +staz_do5lat,staz_od5do10lat,staz_od10do20lat,staz_od30lat,gm,gw) progn_b_1=xxx_b_1%*%c_b_1 progn_b_2=xxx_b_2%*%c_b_2 progn_b_3=xxx_b_3%*%c_b_3 progn_b_4=xxx_b_4%*%c_b_4 progn_b_5=xxx_b_5%*%c_b_5 progn_k_1=xxx_k_1%*%c_k_1 progn_k_2=xxx_k_2%*%c_k_2 progn_k_3=xxx_k_3%*%c_k_3 progn_k_4=xxx_k_4%*%c_k_4 progn_k_5=xxx_k_5%*%c_k_5 dane$ab=ifelse((-1)*round(progn_b_1-progn_k_1,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_1-progn_K_1,0)) dane$sc=ifelse((-1)*round(progn_b_2-progn_k_2,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_2-progn_K_2,0))
14/18 dane$bsj=ifelse((-1)*round(progn_b_3-progn_k_3,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_3-progn_K_3,0)) dane$tr=ifelse((-1)*round(progn_b_4-progn_k_4,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_4-progn_K_4,0)) dane$lo=ifelse((-1)*round(progn_b_5-progn_k_5,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_5-progn_K_5,0)) nazwy=c("aktywizacja-biznes","specjalistyczne ciężkie","biurowo-sklepowojęzykowe","transport","lekkie,opieka") for (i in(1:length(dane$nrewid))) { y=c(dane$ab[i],dane$sc[i],dane$bsj[i],dane$tr[i],dane$lo[i]) yy=cbind(y,nazwy) zz=yy[order(y),] dane$rekomendacja1[i]=ifelse(zz[1,1]<0,zz[1,2],"") dane$rekomendacja2[i]=ifelse(zz[2,1]<0,zz[2,2],"") #TWORZENIE ZDEFINIOWANEJ GRUPY wyb1=svalue(a1) wyb2a=substring(svalue(a2),1,2) wyb2b=substring(svalue(a2),4,5) wyb3=substring(svalue(a3),1,2) wyb4=substring(svalue(a4),1,1) wyb5=as.numeric(substring(svalue(a5),1,1)) wyb6=svalue(a6) wyb7=svalue(a7) wyb8=svalue(a8) wybr1=svalue(r1) wybr2=svalue(r2) dane_wyb=subset(dane,((if (wyb1!=""){płeć==wyb1 else {!is.na(płeć)) &(if(wyb2a!="") {substring(stanc,8,9)==wyb2a substring(stanc,8,9)==wyb2b else {!is.na(stanc)) &(if(wyb3!="") {substring(poziomw,8,9)==wyb3 else{!is.na(poziomw)) &(if(wyb4!="") {substring(zawód,1,1)==wyb4 else {!is.na(zawód)) &(if(is.na(wyb5)) {!is.na(dzieci) else {if(wyb5==6) {Dzieci>=6 else {Dzieci>=wyb5 & Dzieci<=wyb5+1) &(if(wyb6==lista_wiek[1]) {!is.na(wiek) else{kat.wiek==sum(c(lista_wiek==wyb6)*c(1:6))) &(if(wyb7==lista_staz[1]) {!is.na(okresb) else{kat.staz==sum(c(lista_staz==wyb7)*c(1:6))) &(if(wyb8!="") {substring(rodzaj.gminy,7,21)==wyb8 else {!is.na(rodzaj.gminy)) &(if(wybr1==lista_sz[1]) {REKOMENDACJA1=="" REKOMENDACJA1!="" else {if(wybr1==lista_sz[2]){rekomendacja1!="" else {if(wybr1==lista_sz[3]){rekomendacja1=="" else {REKOMENDACJA1==wybr1) &(if(wybr2==lista_sz[1]) {REKOMENDACJA2=="" REKOMENDACJA2!="" else {if(wybr2==lista_sz[2]){rekomendacja2!="" else {if(wybr2==lista_sz[3]){rekomendacja2=="" else {REKOMENDACJA2==wybr2) ),select=true) gtable(dane_wyb,chosencol=19,cont=true) write.csv(dane,file="wynikowe.csv") sink("wynikowe.txt") print(dane_wyb) sink() gmessage(c("wygenerowano listę osób",length(dane_wyb$nrewid)))
15/18 funkcja5=function(...) { setwd("c:\\bazy") #wybrany numer identyfikacyjny wyb_ne=svalue(ne) if (wyb_ne==""){gmessage(c("wpisz identyfikator"),icon="error") else {dane1=read.csv2("danebieżąceprofil.csv") if (sum(duplicated(dane1$nrewid))>0) {gmessage(c("wielokrotne identyfikatory: ", sum(duplicated(dane1$nrewid))), title="błąd",icon="error") else {teryt=read.csv2("teryt.csv") dane=merge(dane1,teryt,by.x="ktg",by.y="kod",all=false) attach(dane) plec=ifelse(płeć=="mężczyzna",1,0) sc_ka_pa=ifelse((stanc=="rps007 KA" StanC=="RPs007 PA"),1,0) sc_zo_me=ifelse((stanc=="rps007 ZO" StanC=="RPs007 ME"),1,0) sc_ra_ry=ifelse((stanc=="rps007 RA" StanC=="RPs007 RY"),1,0) sc_sm_sk=ifelse((stanc=="rps007 SM" StanC=="RPs007 SK"),1,0) sc_wy_wo=ifelse((stanc=="rps007 WY" StanC=="RPs007 WO"),1,0) sc_wa_wb=ifelse((stanc=="rps007 WA" StanC=="RPs007 WB"),1,0) wyksz_bw=ifelse(poziomw=="rps002 BW",1,0) wyksz_po=ifelse(poziomw=="rps002 PO",1,0) wyksz_gm=ifelse(poziomw=="rps002 GM",1,0) wyksz_zz=ifelse(poziomw=="rps002 ZZ",1,0) wyksz_lz=ifelse(poziomw=="rps002 LZ",1,0) wyksz_sz=ifelse(poziomw=="rps002 SZ",1,0) wyksz_so=ifelse(poziomw=="rps002 SO",1,0) wyksz_pp=ifelse(poziomw=="rps002 PP",1,0) wyksz_wy=ifelse(poziomw=="rps002 WY",1,0) zawod_0=ifelse(is.na(zawód),1,ifelse(substring(zawód,1,1)==0,1,0)) zawod_1=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==1,1,0)) zawod_2=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==2,1,0)) zawod_3=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==3,1,0)) zawod_4=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==4,1,0)) zawod_5=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==5,1,0)) zawod_6=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==6,1,0)) zawod_7=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==7,1,0)) zawod_8=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==8,1,0)) zawod_9=ifelse(is.na(zawód),0,ifelse(substring(zawód,1,1)==9,1,0)) dane$zawód=ifelse(is.na(dane$zawód),0,dane$zawód) LD01=ifelse((Dzieci==0 Dzieci==1),1,0) LD23=ifelse((Dzieci==2 Dzieci==3),1,0) LD45=ifelse((Dzieci==4 Dzieci==5),1,0) LD6=ifelse(Dzieci>=6,1,0) wiek_do25=ifelse(wiek<25,1,0) wiek_od25do35=ifelse((wiek>=25 & Wiek<35),1,0) wiek_od35do45=ifelse((wiek>=35 & Wiek<45),1,0) wiek_od45do55=ifelse((wiek>=45 & Wiek<55),1,0) wiek_od55=ifelse(wiek>=55,1,0) KAT.WIEK=1+wiek_do25+2*wiek_od25do35+3*wiek_od35do45+4*wiek_od45do55+5*wiek_od55
16/18 dni=as.numeric(ifelse(okreszas<=99,okreszas,ifelse(okreszas>=100 & OkresZas<=999,substring(OkresZas,2,3),ifelse(OkresZas>=1000 & OkresZas<=9999, substring(okreszas,3,4),ifelse(okreszas>=10000 & OkresZas<=99999, substring(okreszas,4,5),substring(okreszas,5,6)))))) miesiace=as.numeric(ifelse(okreszas<=99,0,ifelse(okreszas>=100 & OkresZas<=999, substring(okreszas,1,1),ifelse(okreszas>=1000 & OkresZas<=9999, substring(okreszas,1,2),ifelse(okreszas>=10000 & OkresZas<=99999, substring(okreszas,2,3),substring(okreszas,3,4)))))) lata=as.numeric(ifelse(okreszas<=9999,0,ifelse(okreszas>=10000 & OkresZas<=99999,substring(OkresZas,1,1),substring(OkresZas,1,2)))) staz=lata+miesiace/12+dni/365 staz_do5lat=ifelse(staz<5,1,0) staz_od5do10lat=ifelse(staz>=5 & staz<10,1,0) staz_od10do20lat=ifelse(staz>=10 & staz<20,1,0) staz_od20do30lat=ifelse(staz>=20 & staz<30,1,0) staz_od30lat=ifelse(staz>=30,1,0) KAT. STAZ=1+staz_do5lat+2*staz_od5do10lat+3*staz_od10do20lat+4*staz_od20do30lat+5*staz_od30la gm=ifelse(is.na(rodzaj.gminy),0,ifelse(rodzaj.gminy=="miejska",1,0)) gmw=ifelse(is.na(rodzaj.gminy),0,ifelse(rodzaj.gminy=="miejsko-wiejska",1,0)) gw=ifelse(is.na(rodzaj.gminy),0,ifelse(rodzaj.gminy=="wiejska",1,0)) XXX=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_WY_WO,sc_WA_WB,wyksz_PO,wyksz_GM, wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_7,zawod_8,zawod_9,ld01,ld23,ld45, dane$prognoza=round(xxx%*%c_k_0,0) dane$zagrożenie=ifelse(dane$prognoza>365,"tak","") XXX_B_1=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_PO, wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23, wiek_od25do35,wiek_od35do45,wiek_od45do55,wiek_od55, XXX_B_2=cbind(1,sc_KA_PA,sc_ZO_ME,sc_WY_WO,wyksz_PO,wyksz_GM,wyksz_ZZ,wyksz_SZ, wyksz_so, +zawod_0,zawod_3,zawod_5,zawod_6,zawod_7,zawod_8,zawod_9,ld01,ld23,ld45, XXX_B_3=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_SM_SK,sc_WY_WO,sc_WA_WB,wyksz_PO, wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_8,ld01,ld23,ld45, XXX_B_4=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_BW, wyksz_po,wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_7,zawod_8,zawod_9,ld01,ld23, +staz_do5lat,staz_od5do10lat,staz_od10do20lat,staz_od20do30lat,gw) XXX_B_5=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_WA_WB,wyksz_PO,wyksz_GM, wyksz_zz,wyksz_sz,wyksz_so,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23,ld6,
17/18 +staz_do5lat,staz_od5do10lat,gm) XXX_K_1=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_PO, wyksz_gm,wyksz_zz,wyksz_lz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23, XXX_K_2=cbind(1,sc_KA_PA,sc_ZO_ME,sc_WY_WO,wyksz_PO,wyksz_GM,wyksz_ZZ,wyksz_SZ, wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_5,zawod_6,zawod_7,zawod_8,zawod_9,ld01,ld23,ld45, XXX_K_3=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_BW, wyksz_po,wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23,ld45, XXX_K_4=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_SM_SK,sc_WY_WO,sc_WA_WB,wyksz_BW, wyksz_po,wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_8,zawod_9,ld01,ld23, +staz_do5lat,staz_od5do10lat,staz_od10do20lat,staz_od20do30lat,gm) XXX_K_5=cbind(1,plec,sc_KA_PA,sc_ZO_ME,sc_RA_RY,sc_SM_SK,sc_WY_WO,wyksz_BW, wyksz_po,wyksz_gm,wyksz_zz,wyksz_sz,wyksz_so,wyksz_pp,wyksz_wy, +zawod_0,zawod_2,zawod_3,zawod_4,zawod_5,zawod_6,zawod_7,zawod_9,ld01,ld23,ld45, +staz_do5lat,staz_od5do10lat,staz_od10do20lat,staz_od30lat,gm,gw) progn_b_1=xxx_b_1%*%c_b_1 progn_b_2=xxx_b_2%*%c_b_2 progn_b_3=xxx_b_3%*%c_b_3 progn_b_4=xxx_b_4%*%c_b_4 progn_b_5=xxx_b_5%*%c_b_5 progn_k_1=xxx_k_1%*%c_k_1 progn_k_2=xxx_k_2%*%c_k_2 progn_k_3=xxx_k_3%*%c_k_3 progn_k_4=xxx_k_4%*%c_k_4 progn_k_5=xxx_k_5%*%c_k_5 dane$ab=ifelse((-1)*round(progn_b_1-progn_k_1,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_1-progn_K_1,0)) dane$sc=ifelse((-1)*round(progn_b_2-progn_k_2,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_2-progn_K_2,0)) dane$bsj=ifelse((-1)*round(progn_b_3-progn_k_3,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_3-progn_K_3,0)) dane$tr=ifelse((-1)*round(progn_b_4-progn_k_4,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_4-progn_K_4,0)) dane$lo=ifelse((-1)*round(progn_b_5-progn_k_5,0)>dane$prognoza,(- 1)*dane$PROGNOZA,round(progn_B_5-progn_K_5,0)) nazwy=c("aktywizacja-biznes","specjalistyczne ciężkie","biurowo-sklepowojęzykowe","transport","lekkie,opieka") for (i in(1:length(dane$nrewid))) { y=c(dane$ab[i],dane$sc[i],dane$bsj[i],dane$tr[i],dane$lo[i]) yy=cbind(y,nazwy) zz=yy[order(y),] dane$rekomendacja1[i]=ifelse(zz[1,1]<0,zz[1,2],"") dane$rekomendacja2[i]=ifelse(zz[2,1]<0,zz[2,2],"") dane_ne=subset(dane,nrewid==substring(wyb_ne,1,12),select=true) gtable(dane_ne,chosencol=19,cont=true) write.csv(t(dane_ne),file="wynikowe_nrewid.csv") sink("wynikowe_nrewid.txt")