#import dataset: registracija file “reg.csv” that we previously saved in visualisation section
reg <- read.csv("reg.csv")#quick intro into dataset
summary(reg)## X MR2015 Marka Tip.vozila
## Min. : 1 Length:6168 Length:6168 Length:6168
## 1st Qu.:1543 Class :character Class :character Class :character
## Median :3084 Mode :character Mode :character Mode :character
## Mean :3084
## 3rd Qu.:4626
## Max. :6168
##
## Vrsta Godina Zapremina.motora MSM
## Length:6168 Min. :1958 Min. : 0 Min. : 0.00
## Class :character 1st Qu.:2002 1st Qu.: 1598 1st Qu.: 66.00
## Mode :character Median :2004 Median : 1896 Median : 77.00
## Mean :2005 Mean : 2015 Mean : 84.37
## 3rd Qu.:2009 3rd Qu.: 1995 3rd Qu.: 96.00
## Max. :2015 Max. :12902 Max. :397.00
## NA's :88 NA's :77
## Gorivo Eko.karakteristike Katalizator Boja.vozila
## Length:6168 Length:6168 Length:6168 Length:6168
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## Broj.osovina Vlasnistvo
## Min. : 1.000 Length:6168
## 1st Qu.: 2.000 Class :character
## Median : 2.000 Mode :character
## Mean : 2.004
## 3rd Qu.: 2.000
## Max. :21.000
## Dole se nalazi funkcija koja ce odjednom to da uradi za cijeli dataset, i to na način da je label = names To nam se nalazi u library Hmisc
labels.reg <- names(reg )
label(reg ) = lapply(names(reg ), function(x) labels.reg[(match(x,names(reg)))])#formiraj tabele sa labels Cros section radimo preko varijable Vlasnistvo, i zelimo i da vidimo koliko za svaki ima NA
r <- reg %>%
tab_cells(add_val_lab(if_na(X %to% Vlasnistvo,"NA"),c("NA"=NA))) %>%
tab_cols(Vlasnistvo) %>%
tab_stat_cases() %>%
tab_pivot()#spasiti a u excel
library(openxlsx)
wb = createWorkbook()
sh = addWorksheet(wb, "reg.vlasnistvo")#ovo je naziv sheeta
xl_write(r, wb, sh)
saveWorkbook(wb, "reg.crossection.xlsx", overwrite = T)#output
Kada odete u folder u kojem radite (getwd()) tu cete naci file reg.crossection.xlsx.
Problem je sto su u tabeli bile i numericke varijable koje su prepoznate kao factor u ovom slučaju, tako da tabela nema smisla u dijelu numerickih varijabli.
Radi toga mozemo formirati samo categorical data i samo numerical.
library(dplyr)
reg.f <- select(reg, -c(1,7,8)) #excluding numerical variablesvars.reg.f <- names(reg.f)
apply(reg.f[,vars.reg.f],2,function(x) table(factor(x),reg.f$Vlasnistvo, useNA = "ifany"))#da se koristi i NA## $MR2015
##
## Fizicko Lice - Bih Fizicko Lice - Strano
## Banovici 23 0
## Banja Luka 295 0
## Bihac 96 0
## Bijeljina 173 0
## Bileca 11 0
## Bosanska Dubica/Kozarska Dubica 38 0
## Bosanska Gradiska/Gradiska 87 0
## Bosanska Krupa 36 0
## Bosanska Krupa/Krupa Na Uni 2 0
## Bosanski Brod/Brod 28 0
## Bosanski Novi/Novi Grad 32 0
## Bosanski Petrovac 5 0
## Bosanski Petrovac/Petrovac 4 0
## Bosanski samac/samac 27 0
## Bratunac 15 0
## Brcko Distrikt Bih 211 0
## Breza 20 1
## Bugojno 40 0
## Busovaca 15 0
## Buzim 28 0
## cajnice 4 0
## capljina 20 0
## Cazin 100 0
## celic 9 0
## celinac 36 0
## citluk 36 0
## Derventa 42 0
## Doboj 108 0
## Doboj Istok 15 0
## Doboj Jug 11 0
## Dobretici 1 0
## Domaljevac/samac 3 0
## Donji Vakuf 10 0
## Drvar 9 0
## Drvar/Istocni Drvar 1 0
## Foca 11 0
## Foca-Fbih 0 0
## Fojnica 21 0
## Gacko 11 0
## Glamoc 3 0
## Gorazde 25 0
## Gornji Vakuf/Uskoplje 27 0
## Gracanica 63 0
## Gracanica/Petrovo 12 0
## Gradacac 70 0
## Gradacac/Pelagicevo 4 0
## Grude 27 0
## Hadzici 39 0
## Han Pijesak 7 0
## Ilidza 109 1
## Ilidza/Istocna Ilidza 12 0
## Ilijas 18 0
## Jablanica 12 0
## Jajce 28 0
## Jajce/Jezero 2 0
## Kakanj 50 0
## Kalesija 50 0
## Kalesija/Osmaci 5 0
## Kalinovik 2 0
## Kiseljak 52 0
## Kladanj 11 0
## Kljuc 31 0
## Kljuc/Ribnik 6 0
## Konjic 30 0
## Kostajnica 5 0
## Kotor Varos 23 0
## Kresevo 7 0
## Kupres 4 0
## Laktasi 84 0
## Livno 23 0
## Lopare 22 0
## Lukavac 55 0
## Ljubinje 1 0
## Ljubuski 22 0
## Maglaj 44 0
## Milici 9 0
## Modrica 36 0
## Mostar 144 0
## Mrkonjic Grad 18 0
## Mup Rs 0 0
## Neum 5 0
## Nevesinje 11 0
## Novi Travnik 26 0
## Novo Sarajevo 91 9
## Novo Sarajevo/Istocno N.sarajevo 20 0
## Odzak 28 0
## Odzak/Vukosavlje 11 0
## Olovo 12 0
## Orasje 29 0
## Pale 26 0
## Posusje 36 0
## Prijedor 119 0
## Prnjavor 82 0
## Prozor/Rama 9 0
## Rogatica 10 0
## Rudo 3 0
## Sanski Most 38 0
## Sanski Most/Ostra Luka 5 0
## Sapna 16 0
## Sarajevo Centar 90 0
## Sarajevo Novi Grad 151 0
## Sarajevo Stari Grad 56 2
## sekovici 6 0
## sipovo 11 0
## siroki Brijeg 51 0
## Skender Vakuf/Knezevo 15 0
## Sokolac 8 0
## Srbac 48 0
## Srebrenica 5 0
## Srebrenik 61 0
## Stanari 8 0
## Stari Grad/Istocni Stari Grad 0 0
## Stolac 20 0
## Stolac/Berkovici 2 0
## Teocak 8 0
## Tesanj 108 0
## Teslic 52 0
## Tomislavgrad 36 0
## Travnik 64 0
## Trebinje 50 0
## Trnovo-Fbih 3 0
## Tuzla 157 0
## Ugljevik 21 0
## Usora 16 0
## Vares 10 0
## Velika Kladusa 105 0
## Visegrad 12 0
## Visoko 85 0
## Vitez 29 0
## Vlasenica 11 0
## Vogosca 37 0
## Zavidovici 51 0
## Zenica 137 0
## zepce 39 0
## zivinice 96 0
## Zvornik 60 0
##
## Pravno Lice - Bih Pravno Lice - Strano
## Banovici 2 0
## Banja Luka 92 0
## Bihac 13 0
## Bijeljina 27 0
## Bileca 0 0
## Bosanska Dubica/Kozarska Dubica 4 0
## Bosanska Gradiska/Gradiska 5 0
## Bosanska Krupa 6 0
## Bosanska Krupa/Krupa Na Uni 0 0
## Bosanski Brod/Brod 0 0
## Bosanski Novi/Novi Grad 4 0
## Bosanski Petrovac 1 0
## Bosanski Petrovac/Petrovac 1 0
## Bosanski samac/samac 0 0
## Bratunac 1 0
## Brcko Distrikt Bih 43 0
## Breza 0 0
## Bugojno 4 0
## Busovaca 0 0
## Buzim 4 0
## cajnice 2 0
## capljina 9 0
## Cazin 8 0
## celic 1 0
## celinac 2 0
## citluk 7 0
## Derventa 7 0
## Doboj 15 1
## Doboj Istok 5 0
## Doboj Jug 5 0
## Dobretici 0 0
## Domaljevac/samac 4 0
## Donji Vakuf 1 0
## Drvar 0 0
## Drvar/Istocni Drvar 0 0
## Foca 1 0
## Foca-Fbih 1 0
## Fojnica 1 0
## Gacko 1 0
## Glamoc 0 0
## Gorazde 2 0
## Gornji Vakuf/Uskoplje 1 0
## Gracanica 17 0
## Gracanica/Petrovo 0 0
## Gradacac 10 0
## Gradacac/Pelagicevo 1 0
## Grude 8 0
## Hadzici 21 0
## Han Pijesak 1 0
## Ilidza 69 0
## Ilidza/Istocna Ilidza 7 0
## Ilijas 3 0
## Jablanica 0 0
## Jajce 5 0
## Jajce/Jezero 0 0
## Kakanj 1 0
## Kalesija 6 0
## Kalesija/Osmaci 1 0
## Kalinovik 0 0
## Kiseljak 6 0
## Kladanj 1 0
## Kljuc 2 0
## Kljuc/Ribnik 0 0
## Konjic 4 0
## Kostajnica 0 0
## Kotor Varos 4 0
## Kresevo 6 0
## Kupres 0 0
## Laktasi 22 0
## Livno 6 0
## Lopare 0 0
## Lukavac 15 0
## Ljubinje 0 0
## Ljubuski 8 0
## Maglaj 7 0
## Milici 0 0
## Modrica 2 0
## Mostar 43 0
## Mrkonjic Grad 7 0
## Mup Rs 1 0
## Neum 1 0
## Nevesinje 1 0
## Novi Travnik 1 0
## Novo Sarajevo 46 4
## Novo Sarajevo/Istocno N.sarajevo 0 0
## Odzak 2 0
## Odzak/Vukosavlje 0 0
## Olovo 0 0
## Orasje 6 0
## Pale 5 0
## Posusje 16 0
## Prijedor 10 0
## Prnjavor 10 0
## Prozor/Rama 0 0
## Rogatica 3 0
## Rudo 0 0
## Sanski Most 4 0
## Sanski Most/Ostra Luka 0 0
## Sapna 0 0
## Sarajevo Centar 49 7
## Sarajevo Novi Grad 43 0
## Sarajevo Stari Grad 10 1
## sekovici 1 0
## sipovo 4 0
## siroki Brijeg 10 0
## Skender Vakuf/Knezevo 1 0
## Sokolac 7 0
## Srbac 1 0
## Srebrenica 0 0
## Srebrenik 10 0
## Stanari 0 0
## Stari Grad/Istocni Stari Grad 1 0
## Stolac 0 0
## Stolac/Berkovici 0 0
## Teocak 0 0
## Tesanj 19 0
## Teslic 7 0
## Tomislavgrad 1 0
## Travnik 8 0
## Trebinje 6 0
## Trnovo-Fbih 1 0
## Tuzla 93 0
## Ugljevik 3 0
## Usora 1 0
## Vares 0 0
## Velika Kladusa 6 0
## Visegrad 1 0
## Visoko 8 0
## Vitez 14 0
## Vlasenica 2 0
## Vogosca 7 0
## Zavidovici 2 0
## Zenica 13 0
## zepce 10 1
## zivinice 9 0
## Zvornik 2 0
##
## $Marka
##
## Fizicko Lice - Bih Fizicko Lice - Strano
## Aixam 1 0
## Alfa Romeo 34 0
## Aprilia 1 0
## Atcomex 0 0
## Atlas 0 0
## Audi 384 1
## Baotian 2 0
## Barbieri 1 0
## Belarus 0 0
## Berger 0 0
## Blyss 2 0
## Bmw 209 2
## Boro 0 0
## Brenderup 1 0
## Brinkmann 0 0
## Broshuis 0 0
## Carnehl 1 0
## Case 0 0
## Caterpillar 0 0
## Chevrolet 6 0
## Chrysler 1 0
## Citroen 172 1
## Claas 0 0
## Da Pont 0 0
## Dacia 8 1
## Daewoo 1 0
## Daf 0 0
## Daihatsu 2 0
## Daimler-Benz 1 0
## Daimlerchrysler 6 0
## Demag 1 0
## Deutz 2 0
## Deutz-Fahr 1 0
## Dodex 5 0
## Dongfeng 1 0
## Eduard 0 0
## Ems 1 0
## Esterer 0 0
## Farm Trailer 0 0
## Feldbinder 0 0
## Fendt 2 0
## Ferguson 1 0
## Fiat 112 0
## Fiat-Hitachi 0 0
## Fiat Kobelco 0 0
## Ford 265 0
## Gaz 0 0
## Goldhofer 0 0
## Gw Wr Neustadt 1 0
## Hambauer 1 0
## Hochedlinger 1 0
## Honda 5 0
## Huanghai Brand 0 0
## Huerlimann 1 0
## Humbaur 1 0
## Humer 1 0
## Hyundai 32 0
## Imt 28 0
## International 2 0
## Irisbus 0 0
## Isuzu 0 0
## Iveco 1 0
## Jaguar 1 0
## Jcb 0 0
## Jeep 5 1
## John Deere 1 0
## Jungheinrich 0 0
## Kaessbohrer 0 0
## Kaufmann 1 0
## Keeway 1 0
## Kia 15 0
## Koegel 0 0
## Kogel 0 0
## Korten 1 0
## Krone 0 0
## Ktc 1 0
## Ktm 2 0
## Kubota 1 0
## Labinprogres 2 0
## Lada 1 0
## Lager 0 0
## Lamborghini 3 0
## Lancia 7 0
## Land Rover 52 0
## Landini 2 0
## Langendorf 0 0
## Lexus 3 0
## Lindner 1 0
## Linhai 1 0
## Lohr 0 0
## Long 1 0
## Ltz 1 0
## Mahindra 0 0
## Man 5 0
## Marbus 1 0
## Massey Ferguson 8 0
## Mazda 22 0
## Mbk 1 0
## Meiller 0 0
## Mercedes-Benz 477 1
## Merlo 0 0
## Micro Compact Car Smart 2 0
## Mini 4 0
## Mitsubishi 15 0
## Mtk Green 1 0
## Nissan 43 0
## O&K 0 0
## Oaf 0 0
## Obermaier 0 0
## Opel 308 1
## Panav 0 0
## Peugeot 385 0
## Piaggio 1 0
## Polaris 1 0
## Pongratz 1 0
## Porsche 1 0
## Qingqi 1 0
## Rakovica 1 0
## Renault 297 0
## Renders 1 0
## Ride Jump 1 0
## Rohr 0 0
## Rover 1 0
## Saab 2 0
## Same 4 0
## Samogradnja 1 0
## Samsung 0 0
## Santana 1 0
## Savsjoslapet 1 0
## Scania 1 0
## Schmitz 0 0
## Schmitz Cargobull 0 0
## Schmitz Gotha 0 0
## Schwarzmueller 0 0
## Schwarzmuller 0 0
## Seat 139 0
## Setra 0 0
## Silver Car 0 0
## skoda 260 1
## Smart 10 0
## Solis 0 0
## Sopstvena Izrada 46 0
## Spermann 0 0
## Spitzer 1 0
## Ssangyong 1 0
## Stema 1 0
## Steyr 0 0
## Steyr Daimler Puch 0 0
## Store 1 0
## Subaru 4 0
## Suzuki 25 1
## Tafe 1 0
## Tam 0 0
## Tang 0 0
## Taral 0 0
## Tehnostroj 2 0
## Temsa 0 0
## Terex 1 0
## Tiki-Treiler 1 0
## Tinaz 2 0
## Tomos 3 0
## Torpedo 2 0
## Toyota 38 1
## Tpv Trailers 3 0
## Trailer 0 0
## Tuber 3 0
## Unametal 1 0
## Unsinn 1 0
## Ursus 2 0
## Volkswagen 1520 2
## Volvo 29 0
## Walkliner 0 0
## Wielton 0 0
## Wm Meyer 1 0
## Xinkai 0 0
## Yamaha 3 0
## Yanmar 2 0
## Yto 0 0
## Zastava 1 0
## Zetor 29 0
##
## Pravno Lice - Bih Pravno Lice - Strano
## Aixam 0 0
## Alfa Romeo 2 0
## Aprilia 0 0
## Atcomex 1 0
## Atlas 2 0
## Audi 35 0
## Baotian 0 0
## Barbieri 0 0
## Belarus 1 0
## Berger 1 0
## Blyss 2 0
## Bmw 11 1
## Boro 1 0
## Brenderup 0 0
## Brinkmann 1 0
## Broshuis 1 0
## Carnehl 2 0
## Case 1 0
## Caterpillar 2 0
## Chevrolet 0 0
## Chrysler 0 0
## Citroen 46 1
## Claas 1 0
## Da Pont 1 0
## Dacia 15 0
## Daewoo 0 0
## Daf 4 1
## Daihatsu 0 0
## Daimler-Benz 0 0
## Daimlerchrysler 3 0
## Demag 0 0
## Deutz 0 0
## Deutz-Fahr 0 0
## Dodex 2 0
## Dongfeng 0 0
## Eduard 2 0
## Ems 0 0
## Esterer 1 0
## Farm Trailer 1 0
## Feldbinder 1 0
## Fendt 1 0
## Ferguson 0 0
## Fiat 30 0
## Fiat-Hitachi 1 0
## Fiat Kobelco 1 0
## Ford 18 0
## Gaz 3 0
## Goldhofer 1 0
## Gw Wr Neustadt 0 0
## Hambauer 0 0
## Hochedlinger 0 0
## Honda 0 0
## Huanghai Brand 1 0
## Huerlimann 0 0
## Humbaur 0 0
## Humer 0 0
## Hyundai 17 0
## Imt 1 0
## International 0 0
## Irisbus 1 0
## Isuzu 1 0
## Iveco 28 0
## Jaguar 0 0
## Jcb 8 0
## Jeep 5 0
## John Deere 1 0
## Jungheinrich 1 0
## Kaessbohrer 1 0
## Kaufmann 0 0
## Keeway 0 0
## Kia 7 0
## Koegel 3 0
## Kogel 1 0
## Korten 0 0
## Krone 6 0
## Ktc 0 0
## Ktm 0 0
## Kubota 1 0
## Labinprogres 0 0
## Lada 1 0
## Lager 1 0
## Lamborghini 0 0
## Lancia 0 0
## Land Rover 2 0
## Landini 0 0
## Langendorf 1 0
## Lexus 0 0
## Lindner 0 0
## Linhai 0 0
## Lohr 1 0
## Long 0 0
## Ltz 0 0
## Mahindra 1 0
## Man 40 1
## Marbus 0 0
## Massey Ferguson 1 0
## Mazda 0 0
## Mbk 0 0
## Meiller 1 0
## Mercedes-Benz 98 1
## Merlo 1 0
## Micro Compact Car Smart 0 0
## Mini 0 0
## Mitsubishi 2 0
## Mtk Green 0 0
## Nissan 6 0
## O&K 2 0
## Oaf 1 0
## Obermaier 1 0
## Opel 36 0
## Panav 1 0
## Peugeot 44 1
## Piaggio 1 0
## Polaris 0 0
## Pongratz 2 0
## Porsche 2 0
## Qingqi 0 0
## Rakovica 0 0
## Renault 65 0
## Renders 0 0
## Ride Jump 0 0
## Rohr 1 0
## Rover 0 0
## Saab 0 0
## Same 1 0
## Samogradnja 0 0
## Samsung 1 0
## Santana 0 0
## Savsjoslapet 0 0
## Scania 3 0
## Schmitz 7 0
## Schmitz Cargobull 2 0
## Schmitz Gotha 1 0
## Schwarzmueller 3 0
## Schwarzmuller 4 0
## Seat 6 0
## Setra 3 0
## Silver Car 2 0
## skoda 125 5
## Smart 1 0
## Solis 1 0
## Sopstvena Izrada 4 0
## Spermann 2 0
## Spitzer 0 0
## Ssangyong 0 0
## Stema 0 0
## Steyr 1 0
## Steyr Daimler Puch 1 0
## Store 0 0
## Subaru 0 0
## Suzuki 2 0
## Tafe 0 0
## Tam 1 0
## Tang 1 0
## Taral 1 0
## Tehnostroj 1 0
## Temsa 1 0
## Terex 1 0
## Tiki-Treiler 0 0
## Tinaz 0 0
## Tomos 0 0
## Torpedo 0 0
## Toyota 16 2
## Tpv Trailers 0 0
## Trailer 1 0
## Tuber 0 0
## Unametal 0 0
## Unsinn 0 0
## Ursus 0 0
## Volkswagen 218 0
## Volvo 13 1
## Walkliner 1 0
## Wielton 1 0
## Wm Meyer 0 0
## Xinkai 1 0
## Yamaha 0 0
## Yanmar 0 0
## Yto 1 0
## Zastava 0 0
## Zetor 1 0
##
## $Tip.vozila
##
## Fizicko Lice - Bih Fizicko Lice - Strano Pravno Lice - Bih
## BA 50 M/1 1 0 0
## 0 6 0 1
## 05X 0 0 2
## 06S 0 0 1
## 06X 2 0 2
## 08S 0 0 1
## 0A1 1 0 0
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## 19.314 FLK 0 0 1
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## A/H-MONOCAB 0
## A2 0
## A20 0
## A21 0
## A3 0
## A4 0
## AA 0
## AB1 0
## AC 35 0
## ADF 0
## AH 0
## AP-3500 0
## AP 1300 0
## AP 2000 0
## AP 750 0
## APN 6 0
## APN 6S 0
## AR 70 0
## ARES 0
## ARION 610C 0
## ASTRA 0
## ASTRA A-H 0
## AU 0
## AUV 0
## AWE 18 0
## B 0
## B-70 0
## B-K 0
## B 710/4 0
## B RHX 0
## B RHZ 0
## B1 0
## B24 0
## B4 080 0
## B4Y 0
## B5 0
## B59 0
## B5Y 0
## B8 0
## BA 0
## BA7 0
## BEVERLY 300 0
## BF 350 SN 0
## BG136H 0
## BJ 0
## BK 0
## BR2 0
## BT 600 0
## BT49QT-9 0
## BWY 0
## C 0
## C 260 0
## C 335 0
## C 355 0
## C RHY 0
## C0 0
## C06 0
## C13 0
## C2H99S 0
## CAPRI 0
## CENTURION 75 0
## CF1 0
## CF85EN3 0
## CGE 33 0
## CHEROKEE 0
## CHKS/A 0
## CLIO 0
## CM 0
## COMBO-C 0
## COMBO-C-VAN 0
## CORSA-C 0
## CORSA C 0
## CORSARO 70 0
## CP 0
## CR-V 0
## CRF 0
## CS0 0
## CSKH/S 0
## CU0W 0
## D 0
## D 4006 0
## D 4HX 0
## D 5506 0
## D 6FZ 0
## D RFN 0
## D RHS 0
## D RHZ 0
## D XFX 0
## D2 0
## D40 0
## DA 0
## DA3 0
## DAW 0
## DBW 0
## DC 0
## DELFINO 35 0
## DF-18 0
## DF-404 0
## DFW 0
## DG0 0
## DJ1 0
## DM 0
## DM2 0
## DNW 0
## DT 19-25 0
## DXA 0
## DYB 0
## E 0
## E-2190/27 0
## E11 0
## E15EJ 0
## E15EJ(A) 0
## E15UT 0
## E62 0
## E66 0
## EA-45 ULTRALIGHT 0
## EA0 0
## ECONOLINE 0
## ECR88D 0
## ED 0
## EF 0
## EFG 220 0
## ELH 0
## EM-550/99 0
## EP 0
## EP4 0
## ER 0
## ESPACE 0
## ET 0
## ETK 410 0
## ETK 451 0
## ETK 452 0
## EUC 0
## EX 0
## EX 135W 0
## EXCEFI 0
## EXPLORER 0
## EY 0
## F 0
## F-21 EX/F-28 EX 0
## F 20 0
## F 35 0
## F 5 L 912 0
## F 8HX 0
## F 8HY 0
## F 9HZ 0
## F HFX 0
## F KFU 0
## F KFV 0
## F0 0
## F1 0
## F15 0
## F7 0
## F8HX 0
## F8HZ 0
## F9 0
## FAC 0
## FAEY 0
## FAG6 0
## FB100.2 0
## FC 0
## FCDY 0
## FD 0
## FDAY 0
## FDE6 0
## FDEY 0
## FE544 0
## FENDT 934 0
## FH 0
## FH 12 0
## FH 42 T B 0
## FJ 0
## FJ11 0
## FK1 0
## FL 0
## FM 0
## FORTWO 0
## FREELANDER 0
## FT 0
## FWA 168 0
## G 0
## G RHY 0
## G18ZL 5,0 0
## GD5 0
## GDH 0
## GG 0
## GH 0
## GP7BLFC 0
## GTP 20-30 0
## GY 0
## H 0
## H0 0
## H00 0
## H05 0
## H08 0
## H17 0
## H20 0
## H21 0
## H22 0
## H23 0
## H29 0
## H39 0
## H47 0
## H4EN3 0
## H56 0
## H60W 0
## HA EA UG 0
## HAL1(A) 0
## HIGHLANDER 0
## HP 0
## HT 0
## HT 1300 0
## HXK1021EB 0
## IG120E2BA 0
## IS52C12BA 0
## IS52CI2BA 0
## IS70CC2BA 0
## IS70CI2BA 0
## J 0
## J-20 0
## J-A 0
## J 203 0
## J1 0
## J11 0
## J12 0
## J15TM 0
## J203 0
## J96 0
## J96/KOMBI 0
## JA 0
## JAS 0
## JBS 0
## JC 0
## JD 0
## JD3 0
## JE 0
## JH1 0
## JK 0
## JL 0
## JM 0
## JR8 0
## JT 0
## JU2 0
## JZ 0
## K 0
## K 222 G 0
## K12 0
## K2500 0
## K60T 0
## K74T 0
## KA 0
## KA05 0
## KALOS 0
## KAUFMANN 0
## KC 0
## KG 0
## KIP 60.3 0
## KJ 0
## KL 0
## KLAK 0
## KLAN 0
## KLAS 0
## KM 0
## KTM EXC EFI 0
## L 0
## L-AT-K 0
## L-PAT G-K 0
## L1 0
## L20 0
## L345 DT 0
## L36 0
## L45 0
## L6-3 0
## L75 0
## L86 0
## LA 0
## LA4X2MEB 0
## LB4X2 NB 0
## LB6X4HHA 0
## LC 0
## LDT SE170W 0
## LEOPARD C/1 0
## LF 0
## LF45EDN2 1
## LM 0
## LN 0
## LOT2 0
## LP-550 0
## LP-750 0
## LS 0
## LT 0
## LW 0
## LY 0
## M 0
## M12 0
## M315 0
## M40 0
## M44 0
## MA 0
## MC 01 0
## MF 133 0
## MH 0
## MH PLUS 0
## MINI 0
## MINI-N 0
## ML4Q 0
## MR 0
## MTGB3 0
## MTGC4 0
## MTZ 820 0
## MX 0
## MXI 0
## N 0
## N 8HZ 0
## N RHY 0
## N03 0
## N05 0
## N08 1
## N13 0
## N14 0
## N15 0
## N16 0
## NH 0
## NPR 77L 0
## NT-1600 0
## NT-2000 0
## NT-3000 0
## NT-3500 0
## NT-500 0
## NT-550 0
## NT-650 0
## NT-750 0
## NT-8 0
## NW-3 0
## NJ 0
## O6X 0
## OS2-L190L 0
## P 0
## P-500 0
## P-J 0
## P-J/SW 0
## P12 0
## PA 2/ATL 0
## PASSENGER CAR 0
## PHL T 0
## PJ2 0
## PP-1000S 0
## PP-757 0
## PPNN 70-F4S 0
## PT 0
## QM50QT-B2 0
## R 0
## R-60 0
## R-90 0
## R 4HX 0
## R 50 0
## R 80 0
## R 9HZ 0
## R RHF 0
## R RHR 0
## R1 0
## R12W 0
## R20 0
## R3 0
## R4 TLJ 0
## R440 LB4X2HNA 0
## R50 0
## R503 DTS 0
## RA03 0
## RBT 0
## RF 0
## RFE 0
## RJ 0
## ROGUE 0
## S 0
## S-D 0
## S-D/MONOCAB B 0
## S HFX 0
## S 01 0
## S 415 GT 0
## S 415 HDH 0
## S 416 GT-HD 0
## S VJX 0
## S01 0
## S1 0
## S230 G100 0
## S5 0
## S60 0
## SA03 0
## SAPL 24 LTP 0
## SB 0
## SCB S3T 0
## SCB*S3B 0
## SCR 120 0
## SD 0
## SDAH45Z-CS 8.0 0
## SG 0
## SG254 0
## SJ 0
## SK2757CAL 0
## SKA 24/29 0
## SKI 24 0
## SKM34-36A 0
## SKO 24 0
## SLS 0
## SN 24 0
## SPA 3/E 0
## SPA 3/E-K 0
## SPKH 24 0
## SSEL 1300 B 0
## STEMA 01 0
## T 0
## T 98 0
## T25 0
## T27 1
## T30 0
## T32 0
## T45 0
## T48 0
## T98 0
## T98 MONOCAB 0
## T98/KOMBI 0
## T98C 0
## TA/20T/32AL 0
## TAL-A-MKZA 42,8 0
## TAURUS 60 DT 0
## TB 0
## TBHC 0
## TD 6206 0
## TG 0
## TL120 0
## TLE 0
## TOLEDO 0
## TR-01 0
## TRIBUTE 0
## TT3 0
## TUE 3-24/80 0
## TV 12 L PK 0
## U 0
## UB 0
## UKL-L 0
## UN8F42 0
## UNIMOG 405/12 0
## UNIMOG 405/40 0
## UNIMOG 427/10 0
## V 0
## V 20 0
## V50CB 0
## V60 0
## V80 0
## VECTRA 0
## VECTRA/LIM 0
## VECTRA/SW 0
## VEMRLG 0
## VERSA 0
## VITARA 0
## W 0
## WA6 0
## WG 0
## WGR 0
## WK 0
## WLS-35/24 0
## WM B16 0
## X 0
## X01MONOCAB 0
## X1 0
## X3 0
## X5 0
## X53 0
## X6 0
## X70 0
## X83 0
## X9HU 0
## XA 607 0
## XA3 0
## XA3(A) 1
## XF05EDN3 0
## XP 850 0
## XP13M 0
## XP9F 0
## XU3(A) 0
## Y 0
## YARIS 0
## YB401W 0
## YFM 350FA 0
## YS3F 0
## YS3FXXXX 0
## Z 0
## Z-C 0
## Z-C/S 0
## Z-C/SW 0
## Z50 0
## ZCRMN 0
## ZPR 45/L-8.0 0
## ZR 0
## ZTA 20.210 0
##
## $Vrsta
##
## Fizicko Lice - Bih Fizicko Lice - Strano
## L1 - Moped 14 0
## L3 - Motocikl 6 0
## L7 - cetverocikl 4 0
## M1 - Putnicki Automobil 4834 13
## M2 - Autobus 1 0
## M3 - Autobus 1 0
## N1 - Teretno Vozilo 55 0
## N2 - Teretno Vozilo 4 0
## N3 - Teretno Vozilo 8 0
## O1 - Prikljucno Vozilo 56 0
## O2 - Prikljucno Vozilo 22 0
## O3 - Prikljucno Vozilo 3 0
## O4 - Prikljucno Vozilo 4 0
## Radna Masina 7 0
## T1 - Traktor 62 0
## T2 - Traktor 32 0
## T3 - Traktor 4 0
## T4 - Traktor 3 0
## T5 - Traktor 2 0
##
## Pravno Lice - Bih Pravno Lice - Strano
## L1 - Moped 0 0
## L3 - Motocikl 1 0
## L7 - cetverocikl 0 0
## M1 - Putnicki Automobil 503 10
## M2 - Autobus 10 0
## M3 - Autobus 9 0
## N1 - Teretno Vozilo 274 1
## N2 - Teretno Vozilo 47 1
## N3 - Teretno Vozilo 68 2
## O1 - Prikljucno Vozilo 2 0
## O2 - Prikljucno Vozilo 12 0
## O3 - Prikljucno Vozilo 9 0
## O4 - Prikljucno Vozilo 45 0
## Radna Masina 25 0
## T1 - Traktor 8 0
## T2 - Traktor 4 0
## T3 - Traktor 0 0
## T4 - Traktor 0 0
## T5 - Traktor 2 0
##
## $Godina
##
## Fizicko Lice - Bih Fizicko Lice - Strano Pravno Lice - Bih
## 1958 1 0 0
## 1961 1 0 0
## 1968 1 0 0
## 1970 2 0 0
## 1971 1 0 0
## 1972 1 0 0
## 1973 4 0 0
## 1975 4 0 0
## 1977 4 0 0
## 1978 4 0 2
## 1979 6 0 2
## 1980 6 0 1
## 1981 4 0 2
## 1982 7 0 0
## 1983 5 0 1
## 1984 3 0 0
## 1985 11 0 0
## 1986 6 0 0
## 1987 4 0 2
## 1988 3 0 3
## 1989 8 0 0
## 1990 4 0 0
## 1991 7 0 0
## 1992 4 0 0
## 1993 1 0 1
## 1994 4 0 0
## 1995 3 0 1
## 1996 6 0 1
## 1997 1 0 3
## 1998 2 0 3
## 1999 18 0 4
## 2000 255 0 8
## 2001 723 0 11
## 2002 727 0 21
## 2003 681 1 37
## 2004 540 1 35
## 2005 464 0 39
## 2006 331 0 48
## 2007 244 2 56
## 2008 144 0 41
## 2009 91 1 34
## 2010 137 0 44
## 2011 219 2 64
## 2012 128 0 33
## 2013 43 0 21
## 2014 23 3 16
## 2015 236 3 485
##
## Pravno Lice - Strano
## 1958 0
## 1961 0
## 1968 0
## 1970 0
## 1971 0
## 1972 0
## 1973 0
## 1975 0
## 1977 0
## 1978 0
## 1979 0
## 1980 0
## 1981 0
## 1982 0
## 1983 0
## 1984 0
## 1985 0
## 1986 0
## 1987 0
## 1988 0
## 1989 0
## 1990 0
## 1991 0
## 1992 0
## 1993 0
## 1994 0
## 1995 0
## 1996 0
## 1997 0
## 1998 0
## 1999 0
## 2000 0
## 2001 1
## 2002 0
## 2003 0
## 2004 0
## 2005 0
## 2006 0
## 2007 0
## 2008 0
## 2009 1
## 2010 0
## 2011 1
## 2012 1
## 2013 0
## 2014 0
## 2015 10
##
## $Gorivo
##
## Fizicko Lice - Bih Fizicko Lice - Strano Pravno Lice - Bih
## 5 0 2
## - 80 0 66
## BENZIN 752 4 92
## BENZIN/LPG 39 0 7
## CNG 0 0 3
## DIZEL 4246 9 848
## ELEKTRIČNI POGON 0 0 1
##
## Pravno Lice - Strano
## 0
## - 0
## BENZIN 0
## BENZIN/LPG 0
## CNG 0
## DIZEL 14
## ELEKTRIČNI POGON 0
##
## $Eko.karakteristike
##
## Fizicko Lice - Bih Fizicko Lice - Strano Pravno Lice - Bih
## 83 0 33
## EEV 1 0 2
## EURO 1 1 0 0
## EURO 2 5 0 4
## EURO 3 2649 1 124
## EURO 4 1522 4 172
## EURO 5 541 5 274
## EURO 6 169 3 331
## KONVENCIONALNO 151 0 79
##
## Pravno Lice - Strano
## 0
## EEV 1
## EURO 1 0
## EURO 2 0
## EURO 3 2
## EURO 4 0
## EURO 5 3
## EURO 6 8
## KONVENCIONALNO 0
##
## $Katalizator
##
## Fizicko Lice - Bih Fizicko Lice - Strano Pravno Lice - Bih
## D 4825 13 898
## N 297 0 121
##
## Pravno Lice - Strano
## D 14
## N 0
##
## $Boja.vozila
##
## Fizicko Lice - Bih Fizicko Lice - Strano Pravno Lice - Bih
## Bijela 395 0 393
## Crna 1028 5 132
## Crvena 303 0 80
## Lila/Ljubicasta 16 0 2
## Narandzasta 24 0 27
## Plava 878 1 67
## Siva 2194 5 227
## Smeda 54 1 23
## Zelena 165 1 22
## zuta 65 0 46
##
## Pravno Lice - Strano
## Bijela 4
## Crna 1
## Crvena 0
## Lila/Ljubicasta 0
## Narandzasta 0
## Plava 1
## Siva 7
## Smeda 1
## Zelena 0
## zuta 0
##
## $Broj.osovina
##
## Fizicko Lice - Bih Fizicko Lice - Strano Pravno Lice - Bih
## 1 70 0 14
## 2 5047 13 935
## 3 4 0 59
## 4 0 0 11
## 21 1 0 0
##
## Pravno Lice - Strano
## 1 0
## 2 13
## 3 0
## 4 1
## 21 0
##
## $Vlasnistvo
##
## Fizicko Lice - Bih Fizicko Lice - Strano
## Fizicko Lice - Bih 5122 0
## Fizicko Lice - Strano 0 13
## Pravno Lice - Bih 0 0
## Pravno Lice - Strano 0 0
##
## Pravno Lice - Bih Pravno Lice - Strano
## Fizicko Lice - Bih 0 0
## Fizicko Lice - Strano 0 0
## Pravno Lice - Bih 1019 0
## Pravno Lice - Strano 0 14sada imamo crossection jos samo da ga prebacimo u excel. opet trebamo prvo uraditi labels pa onda ostalo
labels.reg.f <- names(reg.f )
label(reg.f ) = lapply(names(reg.f), function(x) labels.reg.f[(match(x,names(reg.f)))])#formiraj tabele sa labels Cros section radimo preko varijable Vlasnistvo, i zelimo i da vidimo koliko za svaki ima NA
r <- reg.f %>%
tab_cells(add_val_lab(if_na(MR2015 %to% Vlasnistvo,"NA"),c("NA"=NA))) %>%
tab_cols(Vlasnistvo) %>%
tab_stat_cases() %>%
tab_pivot()#spasiti a u excel
library(openxlsx)
wb = createWorkbook()
sh = addWorksheet(wb, "reg.f.vlasnistvo")#ovo je naziv sheeta
xl_write(r, wb, sh)
saveWorkbook(wb, "reg.crossection.xlsx", overwrite = T)#output Sada je output tabela mnogo cisca jer nemamo numerickih varijabli
#sada prelazimo na numerical variable
n <- reg %>%
tab_cells(Zapremina.motora,MSM,Godina) %>%
tab_cols(total(), Vlasnistvo) %>%
tab_stat_mean_sd_n() %>%
tab_last_sig_means(subtable_marks = "both") %>%
tab_pivot() %>%
set_caption("reg.descr.statistics")
n| reg.descr.statistics | |||||||||
| #Total | Vlasnistvo | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Fizicko Lice - Bih | Fizicko Lice - Strano | Pravno Lice - Bih | Pravno Lice - Strano | ||||||
| A | B | C | D | ||||||
| Zapremina.motora | |||||||||
| Mean | 2014.9 | 1878.0 < C | 1959.0 < C | 2698.0 > A B | 3381.1 | ||||
| Std. dev. | 1271.6 | 586.1 | 444.8 | 2735.4 | 3029.8 | ||||
| Unw. valid N | 6080.0 | 5065.0 | 13.0 | 988.0 | 14.0 | ||||
| MSM | |||||||||
| Mean | 84.4 | 80.7 < C D | 104.2 | 102.2 > A | 122.6 > A | ||||
| Std. dev. | 38.7 | 28.1 | 39.4 | 68.5 | 58.7 | ||||
| Unw. valid N | 6091.0 | 5072.0 | 13.0 | 992.0 | 14.0 | ||||
| Godina | |||||||||
| Mean | 2005.4 | 2004.3 < B C D | 2010.7 > A | 2010.7 > A < D | 2013.1 > A C | ||||
| Std. dev. | 5.7 | 5.1 | 4.3 | 5.7 | 4.0 | ||||
| Unw. valid N | 6168.0 | 5122.0 | 13.0 | 1019.0 | 14.0 | ||||
#i prebacimo u excel
wb = loadWorkbook("reg.crossection.xlsx")
sh = addWorksheet(wb, "reg.n.vlasnistvo")#ovo je naziv novog sheeta na loaded workbook
xl_write(n, wb, sh)
saveWorkbook(wb, "reg.crossection.xlsx", overwrite = T)#output Sada imate excel dokument koji sadrzi dva sheeta! corssection je radjen po vlasnistvu