@@ -30,11 +30,11 @@ yllReduction <- readRDS("data/csv/yll_reduction.rds")
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3232# #Read Car Miles data
33- # carMiles <- read.csv ("data/csv/carMiles_var1.csv", header = T, as.is = T )
34- # carMiles[is.na(carMiles)] <- 0
35- #
36- # milesCycled <- read.csv ("data/csv/milesCycled.pers_var1.csv", header = T, as.is = T )
37- # milesCycled[is.na(milesCycled)] <- 0
33+ carMiles <- readRDS (" data/csv/carMiles_regional.rds " )
34+ carMiles [is.na(carMiles )] <- 0
35+
36+ milesCycled <- readRDS (" data/csv/milesCycled.pers_regional.rds " )
37+ milesCycled [is.na(milesCycled )] <- 0
3838
3939# #Read Trip data
4040# tripData <- read.csv("data/csv/tripsdf.csv", header = T, as.is = T)
@@ -65,17 +65,17 @@ tripMode$Cycled <- NULL
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68- # # Read trip time
69- # tripTime <- read.csv ("data/csv/triptime1.csv", header = T, as.is = T )
70- #
71- # # Get row numbers with NA
72- # temp <- data.frame(rn = which( is.na(tripMode$MainMode_Reduced), arr.ind=TRUE))
73- #
74- # # Remove all rows with NA in them
75- # tripMode <- (subset(tripMode, !(X %in% temp$rn) ))
76- #
77- # tripTime <- (subset(tripTime, !(X %in% temp$rn) ))
78- #
68+ # Read trip time
69+ tripTime <- readRDS (" data/csv/TripTotalTime1_regional.rds " )
70+
71+ # Get row numbers with NA
72+ temp <- data.frame (rn = which( is.na(tripMode $ MainMode_Reduced ), arr.ind = TRUE ))
73+
74+ # Remove all rows with NA in them
75+ tripMode <- (subset(tripMode , ! (X %in% temp $ rn ) ))
76+
77+ tripTime <- (subset(tripTime , ! (X %in% temp $ rn ) ))
78+
7979# # # "Walk", "Bicycle", "Ebike", "Car Driver", "Car Passenger", "Bus", "Train", "Other"
8080# # # Reduce the number of modes to 4
8181# # # walk, bicycle, car, others
@@ -88,7 +88,7 @@ tripMode$Cycled <- NULL
8888#
8989#
9090#
91- # names(tripMode)[names(tripMode)=="MainMode_Reduced"] <- "baseline"
91+ names(tripMode )[names(tripMode )== " MainMode_Reduced" ] <- " baseline"
9292
9393# Read CO2 data
9494# co2data <- read.csv("data/csv/co2.csv", header = T, as.is = T)
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