R/ef_ldv_cold.R
In ibarraespinosa/vein: Vehicular Emissions Inventories
Defines functions
ef_ldv_cold
Documented in
ef_ldv_cold
#' Cold-Start Emissions factors for Light Duty Vehicles
#'
#' \code{\link{ef_ldv_cold}} returns speed functions or data.frames which depends on ambient temperature
#' average speed. The emission factors comes from the guidelines EMEP/EEA air pollutant
#' emission inventory guidebook
#' http://www.eea.europa.eu/themes/air/emep-eea-air-pollutant-emission-inventory-guidebook
#'
#' @param v Character; Category vehicle: "LDV"
#' @param ta Numeric vector or data.frame; Ambient temperature. Monthly mean can be used. When
#' ta is a data.frame, one option is that the number of rows should be the number of
#' rows of your Vehicles data.frame. This is convenient for top-down approach
#' when each simple feature can be a polygon, with a monthly average temperature for
#' each simple feature. In this case, the number of columns can be the 12 months.
#' @param cc Character; Size of engine in cc: "<=1400", "1400_2000" or ">2000"
#' @param f Character; Type of fuel: "G", "D" or "LPG"
#' @param eu Character or data.frame of Characters; Euro standard: "PRE", "I",
#' "II", "III", "IV", "V", "VI" or "VIc". When 'eu' is a data.frame and
#' 'ta' is also a data.frame both has to have the same number of rows. For instance,
#' When you want that each simple feature or region has a different emission standard.
#' @param p Character; Pollutant: "CO", "FC", "NOx", "HC" or "PM"
#' @param k Numeric; Multiplication factor
#' @param show.equation Option to see or not the equation parameters
#' @param speed Numeric; Speed to return Number of emission factor and not a function.
#' @param fcorr Numeric; Correction by fuel properties by euro technology.
#' See \code{\link{fuel_corr}}. The order from first to last is
#' "PRE", "I", "II", "III", "IV", "V", VI, "VIc". Default is 1
#' @return an emission factor function which depends of the average speed V
#' and ambient temperature. g/km
#' @keywords cold emission factors
#' @seealso \code{\link{fuel_corr}}
#' @importFrom units as_units
#' @export
#' @examples \dontrun{
#' ef1 <- ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO",
#' show.equation = TRUE)
#' ef1(10)
#' speed <- Speed(10)
#' ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO", speed = speed)
#' # lets create a matrix of ef cold at different speeds and temperatures
#' te <- -50:50
#' lf <- sapply(1:length(te), function(i){
#' ef_ldv_cold(ta = te[i], cc = "<=1400", f ="G", eu = "I", p = "CO", speed = Speed(0:120))
#' })
#' filled.contour(lf, col= cptcity::lucky())
#' euros <- c("V", "V", "IV", "III", "II", "I", "PRE", "PRE")
#' ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(0))
#' lf <- ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(0:120))
#' dt <- matrix(rep(2:25,5), ncol = 12) # 12 months
#' ef_ldv_cold(ta = dt, cc = "<=1400", f ="G", eu = "I", p = "CO", speed = Speed(0))
#' ef_ldv_cold(ta = dt, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(34))
#' euros2 <- c("V", "V", "V", "IV", "IV", "IV", "III", "III")
#' dfe <- rbind(euros, euros2)
#' ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0))
#'
#' ef_ldv_cold(ta = dt[1:2,], cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0))
#' # Fuel corrections
#' fcorr <- c(0.5,1,1,1,0.9,0.9,0.9,0.9)
#' ef1 <- ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO",
#' show.equation = TRUE, fcorr = fcorr)
#' ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0),
#' fcorr = fcorr)
#' }
ef_ldv_cold <- function(v = "LDV",
ta, # can vary vertically, for each simple feature, and horizontally, for each month
cc, f,
eu, # can vary horizontally
p, k = 1,
show.equation = FALSE, speed, fcorr = rep(1, 8)){
ef_ldv <- sysdata$cold
#Check eu
if(is.matrix(eu) | is.data.frame(eu)){
eu <- as.data.frame(eu)
for(i in 1:ncol(eu)) eu[, i] <- as.character(eu[, i])
} else {
eu = as.character(eu)
}
# Check speed
if(!missing(speed)){
if(!inherits(speed, "units")){
stop("speed neeeds to has class 'units' in 'km/h'. Please, check package '?units::set_units'")
}
if(units(speed) != units(units::as_units("km/h"))){
stop("Units of speed must be 'km/h' ")
}
if(units(speed) == units(units::as_units("km/h"))){
speed <- as.numeric(speed)
}
}
if(is.matrix(ta)){
ta <- as.data.frame(ta)
}
#Function to case when
lala <- function(x) {
ifelse(x == "PRE", fcorr[1],
ifelse(
x == "I", fcorr[2],
ifelse(
x == "II", fcorr[3],
ifelse(
x == "III", fcorr[4],
ifelse(
x == "IV", fcorr[5],
ifelse(
x == "V", fcorr[6],
ifelse(
x == "VI", fcorr[7],
fcorr[8])))))))
}
# When eu is not a data.frame!
if(!is.data.frame(eu)){
# Check ta, eu and speed
if(is.data.frame(ta) | length(eu) > 1){
if(missing(speed)) stop("when 'ta' is data.frame or eu > 1, 'speed' is needed")
}
if (is.numeric(ta) & length(ta) == 1 & length(eu) == 1){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu &
ef_ldv$POLLUTANT == p, ]
k <- lala(eu)
if (show.equation == TRUE) {
cat(paste0("a = ", df$a, ", b = ", df$b, ", c = ", df$c, ", d = ", df$d,
", e = ", df$e, ", f = ", df$f, "\n"))
cat(paste0("Equation = ", "(",as.character(df$Y), ")", "*", k))
}
f1 <- function(V){
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
if(!missing(speed)) {
return(EmissionFactors(f1(speed)))
} else {
return(f1)
}
} else if(is.numeric(ta) & length(ta) == 1 & length(eu) > 1){
dff <- do.call("cbind", lapply(1:length(eu), function(i){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu[i] &
ef_ldv$POLLUTANT == p, ]
f1 <- function(V){
k <- lala(eu[i])
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
f1(speed)
}))
dff <- EmissionFactors(dff)
names(dff) <- paste0(eu)
dff$speed <- speed
dff$ta <- ta
return(dff)
} else if(is.data.frame(ta)){
dff <- do.call("rbind", lapply(1:ncol(ta), function(k){
do.call("rbind", lapply(1:nrow(ta), function(j){
dff <- do.call("cbind", lapply(1:length(eu), function(i){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu[i] &
ef_ldv$POLLUTANT == p, ]
f1 <- function(V){
ta <- ta[j, k]
k <- lala(eu[i])
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
f1(speed)
}))
dff <- EmissionFactors(dff)
names(dff) <- paste0(eu, "_", 1:length(eu))
dff$speed <- speed
dff$ta <- ta[j,k]
dff
}))
}))
return(dff)
}
# This is new!!!!!!!!
} else if(is.data.frame(eu) | is.matrix(eu)){
# Check ta, eu and speed
if(is.data.frame(ta) | length(eu) > 1){
if(missing(speed)) stop("when 'ta' is data.frame or eu > 1, 'speed' is needed")
}
if(is.numeric(ta) & length(ta) == 1){
dff <- do.call("rbind", lapply(1:nrow(eu), function(j){
dff <- do.call("cbind", lapply(1:ncol(eu), function(i){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu[j,i][[1]] &
ef_ldv$POLLUTANT == p, ]
f1 <- function(V){
k <- lala(eu[j,i][[1]])
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
f1(speed)
}))
dff <- EmissionFactors(dff)
dff$speed <- speed
# dff$euros <- rep(paste0("Row eu ", 1:nrow(eu)), each = length(speed))
dff$ta <- ta
dff
}))
return(dff)
} else if(is.data.frame(ta)){
# if(nrow(ta) != nrow(eu)) {
# cat("Number of rows of 'eu': ", nrow(eu), "\n")
# cat("Number of rows of 'ta': ", nrow(ta), "\n")
# stop("Number of rows of 'eu' and 'ta' must be the same")
# }
dff <- do.call("rbind", lapply(1:ncol(ta), function(k){
do.call("rbind", lapply(1:nrow(ta), function(j){
dff <- do.call("cbind", lapply(1:ncol(eu), function(i){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu[j,i][[1]] &
ef_ldv$POLLUTANT == p, ]
f1 <- function(V){
ta <- ta[j, k]
k <- lala(eu[j,i][[1]])
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
f1(speed)
}))
dff <- EmissionFactors(dff)
dff$speed <- speed
dff$ta <- ta[j,k]
dff$row_eu <- j
dff
}))
}))
return(dff)
}
}
}
ibarraespinosa/vein documentation built on April 13, 2024, 8:51 p.m.
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Defines functions ef_ldv_cold
Documented in ef_ldv_cold
#' Cold-Start Emissions factors for Light Duty Vehicles
#'
#' \code{\link{ef_ldv_cold}} returns speed functions or data.frames which depends on ambient temperature
#' average speed. The emission factors comes from the guidelines EMEP/EEA air pollutant
#' emission inventory guidebook
#' http://www.eea.europa.eu/themes/air/emep-eea-air-pollutant-emission-inventory-guidebook
#'
#' @param v Character; Category vehicle: "LDV"
#' @param ta Numeric vector or data.frame; Ambient temperature. Monthly mean can be used. When
#' ta is a data.frame, one option is that the number of rows should be the number of
#' rows of your Vehicles data.frame. This is convenient for top-down approach
#' when each simple feature can be a polygon, with a monthly average temperature for
#' each simple feature. In this case, the number of columns can be the 12 months.
#' @param cc Character; Size of engine in cc: "<=1400", "1400_2000" or ">2000"
#' @param f Character; Type of fuel: "G", "D" or "LPG"
#' @param eu Character or data.frame of Characters; Euro standard: "PRE", "I",
#' "II", "III", "IV", "V", "VI" or "VIc". When 'eu' is a data.frame and
#' 'ta' is also a data.frame both has to have the same number of rows. For instance,
#' When you want that each simple feature or region has a different emission standard.
#' @param p Character; Pollutant: "CO", "FC", "NOx", "HC" or "PM"
#' @param k Numeric; Multiplication factor
#' @param show.equation Option to see or not the equation parameters
#' @param speed Numeric; Speed to return Number of emission factor and not a function.
#' @param fcorr Numeric; Correction by fuel properties by euro technology.
#' See \code{\link{fuel_corr}}. The order from first to last is
#' "PRE", "I", "II", "III", "IV", "V", VI, "VIc". Default is 1
#' @return an emission factor function which depends of the average speed V
#' and ambient temperature. g/km
#' @keywords cold emission factors
#' @seealso \code{\link{fuel_corr}}
#' @importFrom units as_units
#' @export
#' @examples \dontrun{
#' ef1 <- ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO",
#' show.equation = TRUE)
#' ef1(10)
#' speed <- Speed(10)
#' ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO", speed = speed)
#' # lets create a matrix of ef cold at different speeds and temperatures
#' te <- -50:50
#' lf <- sapply(1:length(te), function(i){
#' ef_ldv_cold(ta = te[i], cc = "<=1400", f ="G", eu = "I", p = "CO", speed = Speed(0:120))
#' })
#' filled.contour(lf, col= cptcity::lucky())
#' euros <- c("V", "V", "IV", "III", "II", "I", "PRE", "PRE")
#' ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(0))
#' lf <- ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(0:120))
#' dt <- matrix(rep(2:25,5), ncol = 12) # 12 months
#' ef_ldv_cold(ta = dt, cc = "<=1400", f ="G", eu = "I", p = "CO", speed = Speed(0))
#' ef_ldv_cold(ta = dt, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(34))
#' euros2 <- c("V", "V", "V", "IV", "IV", "IV", "III", "III")
#' dfe <- rbind(euros, euros2)
#' ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0))
#'
#' ef_ldv_cold(ta = dt[1:2,], cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0))
#' # Fuel corrections
#' fcorr <- c(0.5,1,1,1,0.9,0.9,0.9,0.9)
#' ef1 <- ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO",
#' show.equation = TRUE, fcorr = fcorr)
#' ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0),
#' fcorr = fcorr)
#' }
ef_ldv_cold <- function(v = "LDV",
ta, # can vary vertically, for each simple feature, and horizontally, for each month
cc, f,
eu, # can vary horizontally
p, k = 1,
show.equation = FALSE, speed, fcorr = rep(1, 8)){
ef_ldv <- sysdata$cold
#Check eu
if(is.matrix(eu) | is.data.frame(eu)){
eu <- as.data.frame(eu)
for(i in 1:ncol(eu)) eu[, i] <- as.character(eu[, i])
} else {
eu = as.character(eu)
}
# Check speed
if(!missing(speed)){
if(!inherits(speed, "units")){
stop("speed neeeds to has class 'units' in 'km/h'. Please, check package '?units::set_units'")
}
if(units(speed) != units(units::as_units("km/h"))){
stop("Units of speed must be 'km/h' ")
}
if(units(speed) == units(units::as_units("km/h"))){
speed <- as.numeric(speed)
}
}
if(is.matrix(ta)){
ta <- as.data.frame(ta)
}
#Function to case when
lala <- function(x) {
ifelse(x == "PRE", fcorr[1],
ifelse(
x == "I", fcorr[2],
ifelse(
x == "II", fcorr[3],
ifelse(
x == "III", fcorr[4],
ifelse(
x == "IV", fcorr[5],
ifelse(
x == "V", fcorr[6],
ifelse(
x == "VI", fcorr[7],
fcorr[8])))))))
}
# When eu is not a data.frame!
if(!is.data.frame(eu)){
# Check ta, eu and speed
if(is.data.frame(ta) | length(eu) > 1){
if(missing(speed)) stop("when 'ta' is data.frame or eu > 1, 'speed' is needed")
}
if (is.numeric(ta) & length(ta) == 1 & length(eu) == 1){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu &
ef_ldv$POLLUTANT == p, ]
k <- lala(eu)
if (show.equation == TRUE) {
cat(paste0("a = ", df$a, ", b = ", df$b, ", c = ", df$c, ", d = ", df$d,
", e = ", df$e, ", f = ", df$f, "\n"))
cat(paste0("Equation = ", "(",as.character(df$Y), ")", "*", k))
}
f1 <- function(V){
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
if(!missing(speed)) {
return(EmissionFactors(f1(speed)))
} else {
return(f1)
}
} else if(is.numeric(ta) & length(ta) == 1 & length(eu) > 1){
dff <- do.call("cbind", lapply(1:length(eu), function(i){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu[i] &
ef_ldv$POLLUTANT == p, ]
f1 <- function(V){
k <- lala(eu[i])
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
f1(speed)
}))
dff <- EmissionFactors(dff)
names(dff) <- paste0(eu)
dff$speed <- speed
dff$ta <- ta
return(dff)
} else if(is.data.frame(ta)){
dff <- do.call("rbind", lapply(1:ncol(ta), function(k){
do.call("rbind", lapply(1:nrow(ta), function(j){
dff <- do.call("cbind", lapply(1:length(eu), function(i){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu[i] &
ef_ldv$POLLUTANT == p, ]
f1 <- function(V){
ta <- ta[j, k]
k <- lala(eu[i])
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
f1(speed)
}))
dff <- EmissionFactors(dff)
names(dff) <- paste0(eu, "_", 1:length(eu))
dff$speed <- speed
dff$ta <- ta[j,k]
dff
}))
}))
return(dff)
}
# This is new!!!!!!!!
} else if(is.data.frame(eu) | is.matrix(eu)){
# Check ta, eu and speed
if(is.data.frame(ta) | length(eu) > 1){
if(missing(speed)) stop("when 'ta' is data.frame or eu > 1, 'speed' is needed")
}
if(is.numeric(ta) & length(ta) == 1){
dff <- do.call("rbind", lapply(1:nrow(eu), function(j){
dff <- do.call("cbind", lapply(1:ncol(eu), function(i){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu[j,i][[1]] &
ef_ldv$POLLUTANT == p, ]
f1 <- function(V){
k <- lala(eu[j,i][[1]])
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
f1(speed)
}))
dff <- EmissionFactors(dff)
dff$speed <- speed
# dff$euros <- rep(paste0("Row eu ", 1:nrow(eu)), each = length(speed))
dff$ta <- ta
dff
}))
return(dff)
} else if(is.data.frame(ta)){
# if(nrow(ta) != nrow(eu)) {
# cat("Number of rows of 'eu': ", nrow(eu), "\n")
# cat("Number of rows of 'ta': ", nrow(ta), "\n")
# stop("Number of rows of 'eu' and 'ta' must be the same")
# }
dff <- do.call("rbind", lapply(1:ncol(ta), function(k){
do.call("rbind", lapply(1:nrow(ta), function(j){
dff <- do.call("cbind", lapply(1:ncol(eu), function(i){
df <- ef_ldv[ef_ldv$VEH == v &
ef_ldv$CC == cc &
ef_ldv$FUEL == f &
ef_ldv$EURO == eu[j,i][[1]] &
ef_ldv$POLLUTANT == p, ]
f1 <- function(V){
ta <- ta[j, k]
k <- lala(eu[j,i][[1]])
a <- df$a; b <- df$b; c <- df$c; d <- df$d; e <- df$e; f <- df$f
g <- df$g; h <- df$h; i <- df$i
V <- ifelse(V<df$MINV,df$MINV,ifelse(V>df$MAXV,df$MAXV,V))
ifelse(eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))) < 0,
0,
eval(parse(text = paste0("(",as.character(df$Y), ")", "*", k))))
}
f1(speed)
}))
dff <- EmissionFactors(dff)
dff$speed <- speed
dff$ta <- ta[j,k]
dff$row_eu <- j
dff
}))
}))
return(dff)
}
}
}
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