week2 fulldata

Function for season

#########season function
Season <- function(data2) {
  d<- as.Date(strptime(data2$Start.Date,format="%d/%m/%Y %H:%M",tz="UTC"))
  WS <- as.Date("21/12/2016", format = "%d/%m/%Y") # Winter 
  SE <- as.Date("20/3/2016",  format = "%d/%m/%Y") # Spring 
  SS <- as.Date("21/6/2016",  format = "%d/%m/%Y") # Summer 
  FE <- as.Date("22/9/2016",  format = "%d/%m/%Y") # Fall
  
  ifelse (d >= WS | d < SE, "Winter",
          ifelse (d >= SE & d < SS, "Spring",
                  ifelse (d >= SS & d < FE, "Summer", "Fall")))
}

Function to get data manipulated

seasonweekdata<- function(data1,coordinates=coor){
  data1<-data1 %>% select("StartStation.Id","EndStation.Id","Start.Date")

  ###merge coordinate
  #########################################################################
  a<- coor
  colnames(a)<- c("StartStation.Id","s.lat","s.lon")
  x<-join(bikedata,a)
  aa<- coor
  colnames(aa)<- c("EndStation.Id","e.lat","e.lon")
  #a<-setnames(coor,old=c("id","lat","long"),new=c("EndStation.Id","e.lat","e.lon"))
  #aa<-setnames(coor,old=c("id","lat","long"),new=c("StartStation.Id","s.lat","s.lon"))
  z<-join(x,aa)
  z<- na.omit(z)
  x<- count(z,vars = c("StartStation.Id","EndStation.Id"))
  data1<- join(z,x)
  #################weekdays############################################################
  data1$weekdays<-weekdays(
    strptime(data1$Start.Date,format="%d/%m/%Y %H:%M",tz="UTC")
  )
  data1$season<-Season(data2=data1)

  ########################################seasons
  return(data1)
  ##########same start and end stations #########################################
  #attach(bikedata)
  # bikedata$samestation<- rep(0,nrow(bikedata))
  #head(bikedata)
  #bikedata$samestation[which((StartStation.Id==EndStation.Id))]<- bikedata$freq[which((StartStation.Id==EndStation.Id))]
  str(data1)
}

Function for plots

fullplot<- function(data,type="nothing", source="google",maptype="roadmap",zoom=11
                    ){
  attach(data)
  
  map<- get_map(location = c(lon = mean(s.lon),lat = mean(s.lat)),
                source=source,maptype=maptype,zoom = zoom)
  
  plot<-ggmap(map)+
    geom_segment(data=data,aes(x=s.lon,y=s.lat,xend=e.lon, yend=e.lat,alpha=freq),
    colour= "black",size=0.00001)+
    scale_alpha_continuous(range = c(0, 0.1))+
   # xlim(range(s.lon))+
   # ylim(range(s.lat))+
    #scale_color_gradient(low="grey90",high="black")+
    geom_point(data=data,aes(x=s.lon,y=s.lat),size=0.001,alpha=0.3)

    

  
  if (type == "weekdays"){
    plot<- plot+ facet_wrap(~ weekdays)
  }
  else if ( type == "season"){

    plot<- plot+ facet_wrap(~ season)
  }
  else{
    plot <- plot
  }
  
  plot

}
#ggsave(filename = "testplot.pdf",plot =fullplot(data=seasonweekdata(data1 = bikedata),zoom = 12),device = "pdf",
#      width = 11, height = 11)

fullplot(data=seasonweekdata(data1 = bikedata),zoom = 11)

## Joining by: StartStation.Id

## Joining by: EndStation.Id

## Joining by: EndStation.Id, StartStation.Id

## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=51.507796,-0.130519&zoom=11&size=640x640&scale=2&maptype=roadmap&language=en-EN&sensor=false

fullplot(data=seasonweekdata(data1=bikedata),type = "weekdays")

## Joining by: StartStation.Id

## Joining by: EndStation.Id

## Joining by: EndStation.Id, StartStation.Id

## The following objects are masked from data (pos = 3):
## 
##     Bike Id, Duration, e.lat, e.lon, End.Date, EndStation Name,
##     EndStation.Id, freq, Rental Id, s.lat, s.lon, season,
##     Start.Date, StartStation Name, StartStation.Id, weekdays

## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=51.507796,-0.130519&zoom=11&size=640x640&scale=2&maptype=roadmap&language=en-EN&sensor=false

fullplot(data=seasonweekdata(data1=bikedata),type = "season")

## Joining by: StartStation.Id

## Joining by: EndStation.Id

## Joining by: EndStation.Id, StartStation.Id

## The following objects are masked from data (pos = 3):
## 
##     Bike Id, Duration, e.lat, e.lon, End.Date, EndStation Name,
##     EndStation.Id, freq, Rental Id, s.lat, s.lon, season,
##     Start.Date, StartStation Name, StartStation.Id, weekdays

## The following objects are masked from data (pos = 4):
## 
##     Bike Id, Duration, e.lat, e.lon, End.Date, EndStation Name,
##     EndStation.Id, freq, Rental Id, s.lat, s.lon, season,
##     Start.Date, StartStation Name, StartStation.Id, weekdays

## Map from URL : http://maps.googleapis.com/maps/api/staticmap?center=51.507796,-0.130519&zoom=11&size=640x640&scale=2&maptype=roadmap&language=en-EN&sensor=false