library(devtools)
library(rio)
library(stringr)
library(tseries)
library(lubridate)
library(tidyverse)
library(timetk)
library(readxl)
library(tidyquant)
library(scales)
library(forecast)   #  forecasting pkg
library(sweep)  # Broom tidiers for forecast pk
library(timekit)
library(broom)
library(tibble)
library(ggfortify)  #similar to broom,also helps autoplot of lm objects
library(DT)
require(RColorBrewer)
library(rstan)
library(nlme)
library(MASS)
library(lme4)
require(lmerTest)
library(blme)
library(plotly)
library(highcharter)
library(doParallel)
## Loading required package: foreach
## 
## Attaching package: 'foreach'
## The following objects are masked from 'package:purrr':
## 
##     accumulate, when
## Loading required package: iterators
## Loading required package: parallel
# Calculate the number of cores
no_cores <- detectCores() - 1

cl<-makeCluster(no_cores)
registerDoParallel(cl)
setwd("/Users/nanaakwasiabayieboateng/Documents/memphisclassesbooks/time series")
#load excel file with rio
UptimeData<- rio::import("/Users/nanaakwasiabayieboateng/Documents/memphisclassesbooks/Time series/Manpower/Uptimebycategories08-29-2017.xlsx",sheet="APG")


CPGUptimeData<- rio::import("/Users/nanaakwasiabayieboateng/Documents/memphisclassesbooks/Time series/Manpower/CPGUptimecategories.xlsx",sheet="CPG")

#DT::datatable(UptimeData) 

head(CPGUptimeData)%>%knitr::kable()
Month-Yr Dur/EBRG priority category cd build phase Day of Week vehicle family ref CPG Uptime
Jan-2017 Durability P100 J1 Sun RU-PHEV 0.8333333
Jan-2017 Durability P100 J1 Mon RU-PHEV 1.0000000
Jan-2017 Durability P100 J1 Tue RU-PHEV 0.6511628
Jan-2017 Durability P100 J1 Wed RU-PHEV 0.3333333
Jan-2017 Durability P100 J1 Thu RU-PHEV 1.0000000
Jan-2017 Durability P100 J1 Fri RU-PHEV 1.0000000 
#head(UptimeData)

summary(CPGUptimeData)%>%knitr::kable()
Month-Yr Dur/EBRG priority category cd build phase Day of Week vehicle family ref CPG Uptime
Length:1616 Length:1616 Length:1616 Length:1616 Length:1616 Length:1616 Min. :0.0000
Class :character Class :character Class :character Class :character Class :character Class :character 1st Qu.:0.5946
Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Median :0.8384
NA NA NA NA NA NA Mean :0.7459
NA NA NA NA NA NA 3rd Qu.:1.0000
NA NA NA NA NA NA Max. :1.0000 
# replace white spaces in column names with _

names(UptimeData)<-stringr::str_replace_all(names(UptimeData),"\\s", "_")

UptimeData%>%head()%>%knitr::kable()
Month-Yr Dur/EBRG priority_category_cd build_phase Day_of_Week vehicle_family_ref APG_Uptime
Jan-2017 Durability P100 J1 Sun RU-PHEV 1.0000000
Jan-2017 Durability P100 J1 Mon RU-PHEV 1.0000000
Jan-2017 Durability P100 J1 Tue RU-PHEV 0.9550562
Jan-2017 Durability P100 J1 Wed RU-PHEV 0.9583333
Jan-2017 Durability P100 J1 Thu RU-PHEV 1.0000000
Jan-2017 Durability P100 J1 Fri RU-PHEV 0.8350731 
# replace white spaces in column names with _

names(CPGUptimeData)<-stringr::str_replace_all(names(CPGUptimeData),"\\s", "_")

CPGUptimeData%>%head()%>%knitr::kable()
Month-Yr Dur/EBRG priority_category_cd build_phase Day_of_Week vehicle_family_ref CPG_Uptime
Jan-2017 Durability P100 J1 Sun RU-PHEV 0.8333333
Jan-2017 Durability P100 J1 Mon RU-PHEV 1.0000000
Jan-2017 Durability P100 J1 Tue RU-PHEV 0.6511628
Jan-2017 Durability P100 J1 Wed RU-PHEV 0.3333333
Jan-2017 Durability P100 J1 Thu RU-PHEV 1.0000000
Jan-2017 Durability P100 J1 Fri RU-PHEV 1.0000000 
str(UptimeData)
## 'data.frame':    979 obs. of  7 variables:
##  $ Month-Yr            : chr  "Jan-2017" "Jan-2017" "Jan-2017" "Jan-2017" ...
##  $ Dur/EBRG            : chr  "Durability" "Durability" "Durability" "Durability" ...
##  $ priority_category_cd: chr  "P100" "P100" "P100" "P100" ...
##  $ build_phase         : chr  "J1" "J1" "J1" "J1" ...
##  $ Day_of_Week         : chr  "Sun" "Mon" "Tue" "Wed" ...
##  $ vehicle_family_ref  : chr  "RU-PHEV" "RU-PHEV" "RU-PHEV" "RU-PHEV" ...
##  $ APG_Uptime          : num  1 1 0.955 0.958 1 ...
str(CPGUptimeData)
## 'data.frame':    1616 obs. of  7 variables:
##  $ Month-Yr            : chr  "Jan-2017" "Jan-2017" "Jan-2017" "Jan-2017" ...
##  $ Dur/EBRG            : chr  "Durability" "Durability" "Durability" "Durability" ...
##  $ priority_category_cd: chr  "P100" "P100" "P100" "P100" ...
##  $ build_phase         : chr  "J1" "J1" "J1" "J1" ...
##  $ Day_of_Week         : chr  "Sun" "Mon" "Tue" "Wed" ...
##  $ vehicle_family_ref  : chr  "RU-PHEV" "RU-PHEV" "RU-PHEV" "RU-PHEV" ...
##  $ CPG_Uptime          : num  0.833 1 0.651 0.333 1 ...
UptimeData=UptimeData%>%mutate(Month=stringr:: str_sub(`Month-Yr`, 1, 3))%>%mutate_if(is.character,factor)


UptimeData%>%head()%>%knitr::kable()
Month-Yr Dur/EBRG priority_category_cd build_phase Day_of_Week vehicle_family_ref APG_Uptime Month
Jan-2017 Durability P100 J1 Sun RU-PHEV 1.0000000 Jan
Jan-2017 Durability P100 J1 Mon RU-PHEV 1.0000000 Jan
Jan-2017 Durability P100 J1 Tue RU-PHEV 0.9550562 Jan
Jan-2017 Durability P100 J1 Wed RU-PHEV 0.9583333 Jan
Jan-2017 Durability P100 J1 Thu RU-PHEV 1.0000000 Jan
Jan-2017 Durability P100 J1 Fri RU-PHEV 0.8350731 Jan 
Durability=UptimeData%>%filter(`Dur/EBRG`=="Durability")%>%rename(Dur=`Dur/EBRG`)

DT::datatable(Durability)
str(Durability)
## 'data.frame':    838 obs. of  8 variables:
##  $ Month-Yr            : Factor w/ 8 levels "Apr-2017","Aug-2017",..: 4 4 4 4 4 4 4 4 4 4 ...
##  $ Dur                 : Factor w/ 2 levels "Durability","EBRG-Trans": 1 1 1 1 1 1 1 1 1 1 ...
##  $ priority_category_cd: Factor w/ 4 levels "P100","P50","P70",..: 1 1 1 1 1 1 1 1 1 1 ...
##  $ build_phase         : Factor w/ 10 levels "Comp Veh","J1",..: 2 2 2 2 2 2 2 5 5 5 ...
##  $ Day_of_Week         : Factor w/ 7 levels "Fri","Mon","Sat",..: 4 2 6 7 5 1 3 4 2 6 ...
##  $ vehicle_family_ref  : Factor w/ 18 levels "BU","D2","DS",..: 14 14 14 14 14 14 14 6 6 6 ...
##  $ APG_Uptime          : num  1 1 0.955 0.958 1 ...
##  $ Month               : Factor w/ 8 levels "Apr","Aug","Feb",..: 4 4 4 4 4 4 4 4 4 4 ...
sum(is.na(Durability))
## [1] 0
dim(Durability)
## [1] 838   8
CPGUptimeData=CPGUptimeData%>%mutate(Month=stringr:: str_sub(`Month-Yr`, 1, 3))%>%mutate_if(is.character,factor)

CPGDurability=CPGUptimeData%>%filter(`Dur/EBRG`=="Durability")%>%rename(Dur=`Dur/EBRG`)
library(Amelia)
## Loading required package: Rcpp
## ## 
## ## Amelia II: Multiple Imputation
## ## (Version 1.7.4, built: 2015-12-05)
## ## Copyright (C) 2005-2017 James Honaker, Gary King and Matthew Blackwell
## ## Refer to http://gking.harvard.edu/amelia/ for more information
## ##
missmap(Durability, main = "Missing values vs observed",col=c("blue","green"),y.cex=0.5)

apply(Durability,2,function(x) sum(is.na(x)))
##             Month-Yr                  Dur priority_category_cd 
##                    0                    0                    0 
##          build_phase          Day_of_Week   vehicle_family_ref 
##                    0                    0                    0 
##           APG_Uptime                Month 
##                    0                    0
missmap(CPGDurability, main = "Missing values vs observed",col=c("blue","green"),y.cex=0.5)

apply(CPGDurability,2,function(x) sum(is.na(x)))
##             Month-Yr                  Dur priority_category_cd 
##                    0                    0                    0 
##          build_phase          Day_of_Week   vehicle_family_ref 
##                    0                    0                    0 
##           CPG_Uptime                Month 
##                    0                    0
summary(Durability)
##      Month-Yr           Dur      priority_category_cd   build_phase 
##  May-2017:138   Durability:838   P100:269             VP      :372  
##  Jun-2017:121   EBRG-Trans:  0   P50 :  0             PS      :113  
##  Feb-2017:112                    P70 :487             Proto   :110  
##  Jul-2017:101                    P85 : 82             Comp Veh: 66  
##  Apr-2017:100                                         J1      : 53  
##  Jan-2017: 94                                         VP(A)   : 52  
##  (Other) :172                                         (Other) : 72  
##  Day_of_Week vehicle_family_ref   APG_Uptime         Month    
##  Fri:125     KL     :103        Min.   :0.0000   May    :138  
##  Mon:121     JL     : 99        1st Qu.:0.4963   Jun    :121  
##  Sat:115     LA-SRT : 83        Median :0.7599   Feb    :112  
##  Sun:110     JT     : 66        Mean   :0.6764   Jul    :101  
##  Thu:125     MP     : 60        3rd Qu.:0.9727   Apr    :100  
##  Tue:121     RU     : 49        Max.   :1.0000   Jan    : 94  
##  Wed:121     (Other):378                         (Other):172
smy=summary(Durability)%>%as.data.frame.array()

#smy=smy%>%replace_na(list(Dur = "",priority_category_cd="",Build_Category="",APG_Uptime="")) 
#replace NA variables in table
#smy=smy%>% replace_na(list(Dur = "",priority_category_cd= ""))



Durability=na.omit(Durability)


summary(CPGDurability)%>%as.data.frame.array()
CPGDurability=na.omit(CPGDurability)
Durability_ts=ts(Durability$APG_Uptime)


CPGDurability_ts=ts(CPGDurability$CPG_Uptime)


p=Durability%>%group_by(APG_Uptime,Month)%>%summarise(n=n())%>%arrange(n)%>%ggplot(aes(Month, APG_Uptime)) + geom_bar(stat="identity")+theme_bw()+ylab("Frequency")

ggplotly(p)
### Durability%>%group_by(Month)%>%count()

Durability%>%group_by(APG_Uptime,Month)%>%summarise(n=n())%>%arrange(n)%>%hchart( "column", hcaes(x = Month, y = n))%>%hc_yAxis(title = list(text = "Frequency"))
Durability%>%group_by(Day_of_Week )%>%ggplot(aes(Day_of_Week, APG_Uptime)) + geom_bar(stat="identity",color="gray")+theme_bw()+ylab("Frequency")

ggplotly()
# bymedian <- with(InsectSprays, reorder(spray, count, median))
# 
# bymedian
# 
# InsectSprays
# 
# str(InsectSprays)



str(with(Durability, reorder(Month, APG_Uptime, mean)))
##  Factor w/ 8 levels "Jan","Jul","Jun",..: 1 1 1 1 1 1 1 1 1 1 ...
##  - attr(*, "scores")= num [1:8(1d)] 0.725 0.656 0.724 0.598 0.622 ...
##   ..- attr(*, "dimnames")=List of 1
##   .. ..$ : chr [1:8] "Apr" "Aug" "Feb" "Jan" ...
Durability%>%group_by(APG_Uptime,Day_of_Week )%>%ggplot(aes(Day_of_Week, APG_Uptime,fill=priority_category_cd)) + geom_bar(stat="identity",color="black")+theme_bw()+ylab("Frequency")

Durability%>%group_by(APG_Uptime,Month )%>%ggplot(aes(Month, APG_Uptime,fill=priority_category_cd)) + geom_bar(stat="identity",color="black")+theme_bw()+ylab("Frequency")

#vehicle_family_ref


Durability%>%group_by(APG_Uptime,vehicle_family_ref )%>%ggplot(aes(vehicle_family_ref, APG_Uptime,fill=priority_category_cd)) + geom_bar(stat="identity",color="black")+theme_bw()+ylab("Frequency")+ theme(axis.text.x=element_text(angle=50, size=10, vjust=0.5))

Durability%>%group_by(APG_Uptime,build_phase )%>%ggplot(aes(build_phase, APG_Uptime)) + geom_bar(stat="identity",color="black")+theme_bw()+ylab("Frequency")

Durability%>%group_by(APG_Uptime,priority_category_cd )%>%ggplot(aes(priority_category_cd, APG_Uptime)) + geom_bar(stat="identity",width = 0.4, fill="black",color="black")+theme_bw()+ylab("Frequency")

reorder levels of a factor variable
str(with(Durability, reorder(Month, APG_Uptime, mean)))
##  Factor w/ 8 levels "Jan","Jul","Jun",..: 1 1 1 1 1 1 1 1 1 1 ...
##  - attr(*, "scores")= num [1:8(1d)] 0.725 0.656 0.724 0.598 0.622 ...
##   ..- attr(*, "dimnames")=List of 1
##   .. ..$ : chr [1:8] "Apr" "Aug" "Feb" "Jan" ...
(with(Durability, reorder(Month, APG_Uptime, mean)))
##   [1] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [18] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [35] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [52] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [69] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [86] Jan Jan Jan Jan Jan Jan Jan Jan Jan Feb Feb Feb Feb Feb Feb Feb Feb
## [103] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [120] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [137] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [154] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [171] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [188] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [205] Feb Feb Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [222] Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [239] Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [256] Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [273] Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [290] Mar Mar Mar Mar Mar Mar Mar Mar Mar Apr Apr Apr Apr Apr Apr Apr Apr
## [307] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [324] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [341] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [358] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [375] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [392] Apr Apr Apr Apr Apr Apr Apr May May May May May May May May May May
## [409] May May May May May May May May May May May May May May May May May
## [426] May May May May May May May May May May May May May May May May May
## [443] May May May May May May May May May May May May May May May May May
## [460] May May May May May May May May May May May May May May May May May
## [477] May May May May May May May May May May May May May May May May May
## [494] May May May May May May May May May May May May May May May May May
## [511] May May May May May May May May May May May May May May May May May
## [528] May May May May May May May May May Jun Jun Jun Jun Jun Jun Jun Jun
## [545] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [562] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [579] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [596] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [613] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [630] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [647] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jul Jul Jul Jul Jul Jul
## [664] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [681] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [698] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [715] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [732] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [749] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Aug Aug Aug Aug Aug Aug Aug
## [766] Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
## [783] Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
## [800] Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
## [817] Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
## [834] Aug Aug Aug Aug Aug
## attr(,"scores")
##       Apr       Aug       Feb       Jan       Jul       Jun       Mar 
## 0.7249908 0.6561397 0.7241308 0.5976107 0.6221819 0.6488404 0.7166316 
##       May 
## 0.7048019 
## Levels: Jan Jul Jun Aug May Mar Feb Apr
Durability%>%group_by(Month)%>%summarise(n=n())%>%mutate(n=sort(n))%>%knitr::kable()
Month n
Apr 80
Aug 92
Feb 94
Jan 100
Jul 101
Jun 112
Mar 121
May 138 
Durability%>%group_by(Month)%>%summarise(n=n())%>%arrange(n)%>%knitr::kable()
Month n
Aug 80
Mar 92
Jan 94
Apr 100
Jul 101
Feb 112
Jun 121
May 138 
Durability%>%group_by(Month)%>%summarise(n=n())%>%arrange(desc(n))%>%knitr::kable()
Month n
May 138
Jun 121
Feb 112
Jul 101
Apr 100
Jan 94
Mar 92
Aug 80 
#Durability%>%group_by(Month)%>%summarise(n=n())%>%arrange(n)

Durability%>%group_by(Month,APG_Uptime)%>%summarise(n=n())%>%arrange(desc(n))
#%>%ggplot(aes(Month, APG_Uptime)) + geom_bar(stat="identity")+theme_bw()+ylab("Frequency")


Durability%>%group_by(Month)%>%summarise(n=n())%>%arrange(n)%>%ggplot(aes(Month, n)) + geom_bar(stat="identity")+theme_bw()+ylab("Frequency")

(with(Durability, reorder(Month, APG_Uptime,mean)))
##   [1] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [18] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [35] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [52] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [69] Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan
##  [86] Jan Jan Jan Jan Jan Jan Jan Jan Jan Feb Feb Feb Feb Feb Feb Feb Feb
## [103] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [120] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [137] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [154] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [171] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [188] Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb Feb
## [205] Feb Feb Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [222] Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [239] Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [256] Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [273] Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar Mar
## [290] Mar Mar Mar Mar Mar Mar Mar Mar Mar Apr Apr Apr Apr Apr Apr Apr Apr
## [307] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [324] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [341] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [358] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [375] Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr Apr
## [392] Apr Apr Apr Apr Apr Apr Apr May May May May May May May May May May
## [409] May May May May May May May May May May May May May May May May May
## [426] May May May May May May May May May May May May May May May May May
## [443] May May May May May May May May May May May May May May May May May
## [460] May May May May May May May May May May May May May May May May May
## [477] May May May May May May May May May May May May May May May May May
## [494] May May May May May May May May May May May May May May May May May
## [511] May May May May May May May May May May May May May May May May May
## [528] May May May May May May May May May Jun Jun Jun Jun Jun Jun Jun Jun
## [545] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [562] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [579] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [596] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [613] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [630] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun
## [647] Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jun Jul Jul Jul Jul Jul Jul
## [664] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [681] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [698] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [715] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [732] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul
## [749] Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Aug Aug Aug Aug Aug Aug Aug
## [766] Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
## [783] Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
## [800] Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
## [817] Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug Aug
## [834] Aug Aug Aug Aug Aug
## attr(,"scores")
##       Apr       Aug       Feb       Jan       Jul       Jun       Mar 
## 0.7249908 0.6561397 0.7241308 0.5976107 0.6221819 0.6488404 0.7166316 
##       May 
## 0.7048019 
## Levels: Jan Jul Jun Aug May Mar Feb Apr
Durability1=  Durability%>%group_by(Month)%>%summarise(n=n())

Durability1$Month=factor(Durability1$Month,levels(Durability1$Month)[c(4,3,7,1,8,6,5,2)])

#levels(Durability1$Month)

Durability1%>%ggplot(aes(Month, n)) + geom_bar(stat="identity")+theme_bw()+ylab("Frequency")

Durability1=  Durability%>%group_by(Month)%>%summarise(n=n())


#levels(factor(sort(Durability1$n)))

Durability1$n=factor(Durability1$n,levels(Durability1$n)[c(4,3,7,1,8,6,5,2)])

levels(factor(sort(Durability1$n)))
## character(0)
paste0(levels(factor(sort(Durability1$n))),",")
## [1] ","
#(with(Durability, reorder(Month, APG_Uptime, mean)))
#mutate(word = reorder(word, n))
#fit=nlme::lme((CPG_Uptime~vehicle_family_ref+Day_of_Week+build_phase+priority_category_cd,random=(~1|Month)   ,CPGUptimeData)


fit=lme4::lmer(CPG_Uptime~vehicle_family_ref+Day_of_Week+build_phase+priority_category_cd+(1|Month)   ,CPGUptimeData)


broom::tidy(fit)%>%knitr::kable()
term estimate std.error statistic group
(Intercept) 0.3483270 0.0919327 3.7889336 fixed
vehicle_family_refBU 0.2326218 0.0738087 3.1516851 fixed
vehicle_family_refDJ 0.4302514 0.0931139 4.6207026 fixed
vehicle_family_refDP 0.7873221 0.1133642 6.9450704 fixed
vehicle_family_refDS 0.6116735 0.1326507 4.6111601 fixed
vehicle_family_refDT 0.4348536 0.0804643 5.4043031 fixed
vehicle_family_refJK 0.5899254 0.0780625 7.5570938 fixed
vehicle_family_refJL 0.4273660 0.0741104 5.7666099 fixed
vehicle_family_refK4 0.3863020 0.0871809 4.4310383 fixed
vehicle_family_refK8 0.3281600 0.0825252 3.9764825 fixed
vehicle_family_refKL 0.4943387 0.0667162 7.4095748 fixed
vehicle_family_refLA 0.3785554 0.0791760 4.7811902 fixed
vehicle_family_refLX 0.5290397 0.0788653 6.7081427 fixed
vehicle_family_refM1 0.4281365 0.0684413 6.2555293 fixed
vehicle_family_refM4 0.5065695 0.0726651 6.9712933 fixed
vehicle_family_refM6 0.2502388 0.0763854 3.2760032 fixed
vehicle_family_refMP 0.3709408 0.0678231 5.4692438 fixed
vehicle_family_refRU 0.5464796 0.0758103 7.2085151 fixed
vehicle_family_refRU-PHEV 0.4815332 0.0659669 7.2996175 fixed
vehicle_family_refUF -0.4360714 0.2497713 -1.7458831 fixed
vehicle_family_refVM 0.3647776 0.0803493 4.5398992 fixed
vehicle_family_refWD 0.4762739 0.0747356 6.3727845 fixed
vehicle_family_refWD-SRT -0.1387625 0.0878389 -1.5797394 fixed
vehicle_family_refWK 0.5189394 0.0728778 7.1206739 fixed
Day_of_WeekMon -0.0153071 0.0222726 -0.6872605 fixed
Day_of_WeekSat -0.0255247 0.0227031 -1.1242835 fixed
Day_of_WeekSun -0.0434593 0.0227341 -1.9116367 fixed
Day_of_WeekThu -0.0125768 0.0221815 -0.5669949 fixed
Day_of_WeekTue -0.0392843 0.0221983 -1.7696988 fixed
Day_of_WeekWed -0.0303282 0.0221660 -1.3682291 fixed
build_phaseComp Veh 0.0067755 0.1039662 0.0651703 fixed
build_phaseJ1 0.0505776 0.0670428 0.7544076 fixed
build_phaseMule -0.1789605 0.0656293 -2.7268394 fixed
build_phaseMule 2 0.0487392 0.0907187 0.5372559 fixed
build_phaseProto -0.1777524 0.0667282 -2.6638258 fixed
build_phasePS 0.1255671 0.0640760 1.9596583 fixed
build_phaseV2 -0.1139991 0.1179248 -0.9667102 fixed
build_phaseVP 0.0012768 0.0607735 0.0210093 fixed
build_phaseVP(B) -0.1671165 0.0835027 -2.0013310 fixed
priority_category_cdP70 0.0154447 0.0167826 0.9202803 fixed
priority_category_cdP85 0.0200435 0.0309580 0.6474422 fixed
sd_(Intercept).Month 0.0336873 NA NA Month
sd_Observation.Residual 0.2411369 NA NA Residual 
broom::augment(fit)%>%knitr::kable()
CPG_Uptime vehicle_family_ref Day_of_Week build_phase priority_category_cd Month .fitted .resid .fixed .mu .offset .sqrtXwt .sqrtrwt .weights .wtres
0.8333333 RU-PHEV Sun J1 P100 Jan 0.8385308 -0.0051975 0.8369785 0.8385308 0 1 1 1 -0.0051975
1.0000000 RU-PHEV Mon J1 P100 Jan 0.8666830 0.1333170 0.8651306 0.8666830 0 1 1 1 0.1333170
0.6511628 RU-PHEV Tue J1 P100 Jan 0.8427058 -0.1915430 0.8411534 0.8427058 0 1 1 1 -0.1915430
0.3333333 RU-PHEV Wed J1 P100 Jan 0.8516619 -0.5183286 0.8501095 0.8516619 0 1 1 1 -0.5183286
1.0000000 RU-PHEV Thu J1 P100 Jan 0.8694133 0.1305867 0.8678610 0.8694133 0 1 1 1 0.1305867
1.0000000 RU-PHEV Fri J1 P100 Jan 0.8819901 0.1180099 0.8804377 0.8819901 0 1 1 1 0.1180099
1.0000000 RU-PHEV Sat J1 P100 Jan 0.8564654 0.1435346 0.8549130 0.8564654 0 1 1 1 0.1435346
1.0000000 JL Sun Mule 2 P100 Jan 0.7825252 0.2174748 0.7809728 0.7825252 0 1 1 1 0.2174748
0.6901408 JL Mon Mule 2 P100 Jan 0.8106774 -0.1205365 0.8091250 0.8106774 0 1 1 1 -0.1205365
0.8400000 JL Tue Mule 2 P100 Jan 0.7867001 0.0532999 0.7851478 0.7867001 0 1 1 1 0.0532999
0.9145299 JL Wed Mule 2 P100 Jan 0.7956563 0.1188737 0.7941039 0.7956563 0 1 1 1 0.1188737
0.9166667 JL Thu Mule 2 P100 Jan 0.8134077 0.1032590 0.8118553 0.8134077 0 1 1 1 0.1032590
1.0000000 JL Fri Mule 2 P100 Jan 0.8259845 0.1740155 0.8244321 0.8259845 0 1 1 1 0.1740155
0.9761905 JL Sat Mule 2 P100 Jan 0.8004598 0.1757307 0.7989074 0.8004598 0 1 1 1 0.1757307
0.5870445 JL Sun Proto P100 Jan 0.5560337 0.0310108 0.5544813 0.5560337 0 1 1 1 0.0310108
0.4277344 JL Mon Proto P100 Jan 0.5841858 -0.1564515 0.5826335 0.5841858 0 1 1 1 -0.1564515
0.5013587 JL Tue Proto P100 Jan 0.5602086 -0.0588499 0.5586563 0.5602086 0 1 1 1 -0.0588499
0.4802867 JL Wed Proto P100 Jan 0.5691647 -0.0888780 0.5676124 0.5691647 0 1 1 1 -0.0888780
0.6619337 JL Thu Proto P100 Jan 0.5869162 0.0750176 0.5853638 0.5869162 0 1 1 1 0.0750176
0.6557971 JL Fri Proto P100 Jan 0.5994929 0.0563042 0.5979406 0.5994929 0 1 1 1 0.0563042
0.5704225 JL Sat Proto P100 Jan 0.5739682 -0.0035457 0.5724159 0.5739682 0 1 1 1 -0.0035457
1.0000000 MP Sun PS P100 Jan 0.8029280 0.1970720 0.8013756 0.8029280 0 1 1 1 0.1970720
1.0000000 RU-PHEV Sun PS P100 Jan 0.9135203 0.0864797 0.9119679 0.9135203 0 1 1 1 0.0864797
1.0000000 RU-PHEV Mon PS P100 Jan 0.9416724 0.0583276 0.9401201 0.9416724 0 1 1 1 0.0583276
0.8048780 RU-PHEV Tue PS P100 Jan 0.9176952 -0.1128172 0.9161429 0.9176952 0 1 1 1 -0.1128172
0.8947368 RU-PHEV Wed PS P100 Jan 0.9266513 -0.0319145 0.9250990 0.9266513 0 1 1 1 -0.0319145
0.8055556 RU-PHEV Thu PS P100 Jan 0.9444028 -0.1388472 0.9428504 0.9444028 0 1 1 1 -0.1388472
1.0000000 MP Fri PS P100 Jan 0.8463872 0.1536128 0.8448348 0.8463872 0 1 1 1 0.1536128
0.8430233 RU-PHEV Fri PS P100 Jan 0.9569795 -0.1139563 0.9554272 0.9569795 0 1 1 1 -0.1139563
1.0000000 MP Sat PS P100 Jan 0.8208625 0.1791375 0.8193101 0.8208625 0 1 1 1 0.1791375
1.0000000 RU-PHEV Sat PS P100 Jan 0.9314548 0.0685452 0.9299025 0.9314548 0 1 1 1 0.0685452
0.5951860 MP Sun VP P100 Jan 0.6786377 -0.0834517 0.6770853 0.6786377 0 1 1 1 -0.0834517
0.6595745 MP Mon VP P100 Jan 0.7067898 -0.0472154 0.7052375 0.7067898 0 1 1 1 -0.0472154
0.6466877 MP Tue VP P100 Jan 0.6828126 -0.0361249 0.6812603 0.6828126 0 1 1 1 -0.0361249
0.8115942 MP Wed VP P100 Jan 0.6917687 0.1198255 0.6902164 0.6917687 0 1 1 1 0.1198255
0.8439716 MP Thu VP P100 Jan 0.7095202 0.1344515 0.7079678 0.7095202 0 1 1 1 0.1344515
0.7838050 MP Fri VP P100 Jan 0.7220969 0.0617081 0.7205446 0.7220969 0 1 1 1 0.0617081
0.6799674 MP Sat VP P100 Jan 0.6965722 -0.0166048 0.6950199 0.6965722 0 1 1 1 -0.0166048
0.0000000 WD-SRT Sun Comp Veh P70 Jan 0.1898777 -0.1898777 0.1883254 0.1898777 0 1 1 1 -0.1898777
0.0000000 WD-SRT Mon Comp Veh P70 Jan 0.2180299 -0.2180299 0.2164775 0.2180299 0 1 1 1 -0.2180299
0.0000000 WD-SRT Tue Comp Veh P70 Jan 0.1940527 -0.1940527 0.1925003 0.1940527 0 1 1 1 -0.1940527
0.1923077 WD-SRT Wed Comp Veh P70 Jan 0.2030088 -0.0107011 0.2014564 0.2030088 0 1 1 1 -0.0107011
0.2142857 WD-SRT Thu Comp Veh P70 Jan 0.2207602 -0.0064745 0.2192079 0.2207602 0 1 1 1 -0.0064745
0.0068966 WD-SRT Fri Comp Veh P70 Jan 0.2333370 -0.2264404 0.2317846 0.2333370 0 1 1 1 -0.2264404
0.0000000 WD-SRT Sat Comp Veh P70 Jan 0.2078123 -0.2078123 0.2062599 0.2078123 0 1 1 1 -0.2078123
0.3483871 JL Sun Mule P70 Jan 0.5702702 -0.2218831 0.5687179 0.5702702 0 1 1 1 -0.2218831
1.0000000 JL Mon Mule P70 Jan 0.5984224 0.4015776 0.5968700 0.5984224 0 1 1 1 0.4015776
0.7427746 JL Tue Mule P70 Jan 0.5744452 0.1683294 0.5728928 0.5744452 0 1 1 1 0.1683294
0.6376812 JL Wed Mule P70 Jan 0.5834013 0.0542799 0.5818489 0.5834013 0 1 1 1 0.0542799
0.7547893 JL Thu Mule P70 Jan 0.6011527 0.1536366 0.5996003 0.6011527 0 1 1 1 0.1536366
0.6250000 JL Fri Mule P70 Jan 0.6137295 0.0112705 0.6121771 0.6137295 0 1 1 1 0.0112705
0.3191489 JL Sat Mule P70 Jan 0.5882048 -0.2690558 0.5866524 0.5882048 0 1 1 1 -0.2690558
0.6160000 JL Sun Proto P70 Jan 0.5714784 0.0445216 0.5699260 0.5714784 0 1 1 1 0.0445216
0.7071130 JL Mon Proto P70 Jan 0.5996305 0.1074824 0.5980782 0.5996305 0 1 1 1 0.1074824
0.5000000 K8 Mon Proto P70 Jan 0.5004245 -0.0004245 0.4988722 0.5004245 0 1 1 1 -0.0004245
0.6573427 JL Tue Proto P70 Jan 0.5756533 0.0816893 0.5741010 0.5756533 0 1 1 1 0.0816893
1.0000000 K8 Tue Proto P70 Jan 0.4764473 0.5235527 0.4748949 0.4764473 0 1 1 1 0.5235527
0.3770492 JL Wed Proto P70 Jan 0.5846094 -0.2075602 0.5830571 0.5846094 0 1 1 1 -0.2075602
0.5937500 JL Thu Proto P70 Jan 0.6023609 -0.0086109 0.6008085 0.6023609 0 1 1 1 -0.0086109
0.8032787 JL Fri Proto P70 Jan 0.6149376 0.1883411 0.6133853 0.6149376 0 1 1 1 0.1883411
0.9411765 JL Sat Proto P70 Jan 0.5894129 0.3517635 0.5878606 0.5894129 0 1 1 1 0.3517635
1.0000000 M1 Sun PS P70 Jan 0.8755683 0.1244317 0.8740159 0.8755683 0 1 1 1 0.1244317
1.0000000 MP Sun PS P70 Jan 0.8183726 0.1816274 0.8168203 0.8183726 0 1 1 1 0.1816274
0.8928571 M1 Mon PS P70 Jan 0.9037204 -0.0108633 0.9021681 0.9037204 0 1 1 1 -0.0108633
0.9791667 MP Mon PS P70 Jan 0.8465248 0.1326419 0.8449724 0.8465248 0 1 1 1 0.1326419
1.0000000 RU-PHEV Mon PS P70 Jan 0.9571171 0.0428829 0.9555648 0.9571171 0 1 1 1 0.0428829
0.9607843 M1 Tue PS P70 Jan 0.8797432 0.0810411 0.8781909 0.8797432 0 1 1 1 0.0810411
1.0000000 MP Tue PS P70 Jan 0.8225476 0.1774524 0.8209952 0.8225476 0 1 1 1 0.1774524
1.0000000 RU-PHEV Tue PS P70 Jan 0.9331399 0.0668601 0.9315876 0.9331399 0 1 1 1 0.0668601
0.6321839 M1 Wed PS P70 Jan 0.8886993 -0.2565154 0.8871470 0.8886993 0 1 1 1 -0.2565154
1.0000000 MP Wed PS P70 Jan 0.8315037 0.1684963 0.8299513 0.8315037 0 1 1 1 0.1684963
1.0000000 RU-PHEV Wed PS P70 Jan 0.9420960 0.0579040 0.9405437 0.9420960 0 1 1 1 0.0579040
0.7083333 M1 Thu PS P70 Jan 0.9064508 -0.1981174 0.9048984 0.9064508 0 1 1 1 -0.1981174
0.6000000 MP Thu PS P70 Jan 0.8492551 -0.2492551 0.8477028 0.8492551 0 1 1 1 -0.2492551
1.0000000 RU-PHEV Thu PS P70 Jan 0.9598475 0.0401525 0.9582951 0.9598475 0 1 1 1 0.0401525
0.8571429 M1 Fri PS P70 Jan 0.9190275 -0.0618847 0.9174752 0.9190275 0 1 1 1 -0.0618847
0.6483516 MP Fri PS P70 Jan 0.8618319 -0.2134802 0.8602795 0.8618319 0 1 1 1 -0.2134802
0.6923077 RU-PHEV Fri PS P70 Jan 0.9724242 -0.2801165 0.9708719 0.9724242 0 1 1 1 -0.2801165
0.8518519 M1 Sat PS P70 Jan 0.8935028 -0.0416510 0.8919505 0.8935028 0 1 1 1 -0.0416510
1.0000000 MP Sat PS P70 Jan 0.8363072 0.1636928 0.8347548 0.8363072 0 1 1 1 0.1636928
0.5247525 DJ Sun VP P70 Jan 0.7533930 -0.2286405 0.7518406 0.7533930 0 1 1 1 -0.2286405
1.0000000 M4 Sun VP P70 Jan 0.8297111 0.1702889 0.8281587 0.8297111 0 1 1 1 0.1702889
0.3076923 MP Sun VP P70 Jan 0.6940824 -0.3863901 0.6925300 0.6940824 0 1 1 1 -0.3863901
0.9090909 DJ Mon VP P70 Jan 0.7815451 0.1275458 0.7799928 0.7815451 0 1 1 1 0.1275458
0.8699187 M4 Mon VP P70 Jan 0.8578632 0.0120555 0.8563109 0.8578632 0 1 1 1 0.0120555
0.6703911 MP Mon VP P70 Jan 0.7222345 -0.0518435 0.7206822 0.7222345 0 1 1 1 -0.0518435
0.9310345 DJ Tue VP P70 Jan 0.7575679 0.1734666 0.7560156 0.7575679 0 1 1 1 0.1734666
1.0000000 M4 Tue VP P70 Jan 0.8338860 0.1661140 0.8323337 0.8338860 0 1 1 1 0.1661140
0.7956989 MP Tue VP P70 Jan 0.6982573 0.0974416 0.6967050 0.6982573 0 1 1 1 0.0974416
0.8661017 DJ Wed VP P70 Jan 0.7665240 0.0995777 0.7649717 0.7665240 0 1 1 1 0.0995777
1.0000000 M4 Wed VP P70 Jan 0.8428421 0.1571579 0.8412898 0.8428421 0 1 1 1 0.1571579
0.6509091 MP Wed VP P70 Jan 0.7072134 -0.0563043 0.7056611 0.7072134 0 1 1 1 -0.0563043
0.7426901 DJ Thu VP P70 Jan 0.7842755 -0.0415854 0.7827231 0.7842755 0 1 1 1 -0.0415854
0.8888889 M4 Thu VP P70 Jan 0.8605936 0.0282953 0.8590412 0.8605936 0 1 1 1 0.0282953
0.5601375 MP Thu VP P70 Jan 0.7249649 -0.1648274 0.7234125 0.7249649 0 1 1 1 -0.1648274
0.8493590 DJ Fri VP P70 Jan 0.7968522 0.0525067 0.7952999 0.7968522 0 1 1 1 0.0525067
0.9316239 M4 Fri VP P70 Jan 0.8731704 0.0584536 0.8716180 0.8731704 0 1 1 1 0.0584536
0.3271028 MP Fri VP P70 Jan 0.7375416 -0.4104388 0.7359893 0.7375416 0 1 1 1 -0.4104388
0.4352159 DJ Sat VP P70 Jan 0.7713275 -0.3361116 0.7697752 0.7713275 0 1 1 1 -0.3361116
1.0000000 M4 Sat VP P70 Jan 0.8476457 0.1523543 0.8460933 0.8476457 0 1 1 1 0.1523543
0.3689746 MP Sat VP P70 Jan 0.7120169 -0.3430424 0.7104646 0.7120169 0 1 1 1 -0.3430424
0.4666667 KL Tue Mule P85 Jan 0.6460167 -0.1793500 0.6444643 0.6460167 0 1 1 1 -0.1793500
0.5091384 K8 Sun Proto P85 Jan 0.4768712 0.0322672 0.4753188 0.4768712 0 1 1 1 0.0322672
0.7864271 K8 Mon Proto P85 Jan 0.5050233 0.2814038 0.5034710 0.5050233 0 1 1 1 0.2814038
0.6480263 K8 Tue Proto P85 Jan 0.4810461 0.1669802 0.4794938 0.4810461 0 1 1 1 0.1669802
0.5797373 K8 Wed Proto P85 Jan 0.4900022 0.0897351 0.4884499 0.4900022 0 1 1 1 0.0897351
0.5358423 K8 Thu Proto P85 Jan 0.5077537 0.0280886 0.5062013 0.5077537 0 1 1 1 0.0280886
0.6991350 K8 Fri Proto P85 Jan 0.5203304 0.1788046 0.5187781 0.5203304 0 1 1 1 0.1788046
0.7335092 K8 Sat Proto P85 Jan 0.4948057 0.2387035 0.4932534 0.4948057 0 1 1 1 0.2387035
0.8059701 RU-PHEV Sun VP P100 Jan 0.7892300 0.0167401 0.7876777 0.7892300 0 1 1 1 0.0167401
0.8540830 RU-PHEV Mon VP P100 Jan 0.8173822 0.0367008 0.8158298 0.8173822 0 1 1 1 0.0367008
0.9639727 RU-PHEV Tue VP P100 Jan 0.7934050 0.1705678 0.7918526 0.7934050 0 1 1 1 0.1705678
0.9810651 RU-PHEV Wed VP P100 Jan 0.8023611 0.1787040 0.8008087 0.8023611 0 1 1 1 0.1787040
0.9399249 RU-PHEV Thu VP P100 Jan 0.8201125 0.1198124 0.8185602 0.8201125 0 1 1 1 0.1198124
0.8828697 RU-PHEV Fri VP P100 Jan 0.8326893 0.0501804 0.8311369 0.8326893 0 1 1 1 0.0501804
0.7182779 RU-PHEV Sat VP P100 Jan 0.8071646 -0.0888866 0.8056122 0.8071646 0 1 1 1 -0.0888866
0.2500000 39 Sun J1 P70 Jan 0.3724424 -0.1224424 0.3708900 0.3724424 0 1 1 1 -0.1224424
0.5000000 39 Mon J1 P70 Jan 0.4005945 0.0994055 0.3990422 0.4005945 0 1 1 1 0.0994055
0.4000000 39 Tue J1 P70 Jan 0.3766173 0.0233827 0.3750650 0.3766173 0 1 1 1 0.0233827
0.3333333 39 Wed J1 P70 Jan 0.3855734 -0.0522401 0.3840211 0.3855734 0 1 1 1 -0.0522401
0.2500000 39 Thu J1 P70 Jan 0.4033249 -0.1533249 0.4017725 0.4033249 0 1 1 1 -0.1533249
0.4000000 39 Fri J1 P70 Jan 0.4159016 -0.0159016 0.4143493 0.4159016 0 1 1 1 -0.0159016
0.0000000 39 Sat J1 P70 Jan 0.3903769 -0.3903769 0.3888246 0.3903769 0 1 1 1 -0.3903769
1.0000000 BU Mon PS P70 Jan 0.7082058 0.2917942 0.7066534 0.7082058 0 1 1 1 0.2917942
1.0000000 BU Tue PS P70 Jan 0.6842285 0.3157715 0.6826762 0.6842285 0 1 1 1 0.3157715
1.0000000 BU Wed PS P70 Jan 0.6931847 0.3068153 0.6916323 0.6931847 0 1 1 1 0.3068153
1.0000000 BU Thu PS P70 Jan 0.7109361 0.2890639 0.7093837 0.7109361 0 1 1 1 0.2890639
1.0000000 BU Fri PS P70 Jan 0.7235129 0.2764871 0.7219605 0.7235129 0 1 1 1 0.2764871
1.0000000 KL Sun VP P70 Jan 0.8174803 0.1825197 0.8159279 0.8174803 0 1 1 1 0.1825197
0.8000000 M4 Sun VP P70 Jan 0.8297111 -0.0297111 0.8281587 0.8297111 0 1 1 1 -0.0297111
0.2500000 MP Sun VP P70 Jan 0.6940824 -0.4440824 0.6925300 0.6940824 0 1 1 1 -0.4440824
0.8000000 KL Mon VP P70 Jan 0.8456324 -0.0456324 0.8440801 0.8456324 0 1 1 1 -0.0456324
1.0000000 M4 Mon VP P70 Jan 0.8578632 0.1421368 0.8563109 0.8578632 0 1 1 1 0.1421368
0.3750000 MP Mon VP P70 Jan 0.7222345 -0.3472345 0.7206822 0.7222345 0 1 1 1 -0.3472345
0.9090909 KL Tue VP P70 Jan 0.8216552 0.0874357 0.8201028 0.8216552 0 1 1 1 0.0874357
0.9298246 M4 Tue VP P70 Jan 0.8338860 0.0959385 0.8323337 0.8338860 0 1 1 1 0.0959385
0.4000000 MP Tue VP P70 Jan 0.6982573 -0.2982573 0.6967050 0.6982573 0 1 1 1 -0.2982573
0.8983482 KL Wed VP P70 Jan 0.8306113 0.0677369 0.8290589 0.8306113 0 1 1 1 0.0677369
0.8888889 M4 Wed VP P70 Jan 0.8428421 0.0460467 0.8412898 0.8428421 0 1 1 1 0.0460467
0.1466667 MP Wed VP P70 Jan 0.7072134 -0.5605468 0.7056611 0.7072134 0 1 1 1 -0.5605468
0.8750000 KL Thu VP P70 Jan 0.8483627 0.0266373 0.8468104 0.8483627 0 1 1 1 0.0266373
0.8260870 M4 Thu VP P70 Jan 0.8605936 -0.0345066 0.8590412 0.8605936 0 1 1 1 -0.0345066
0.0000000 MP Thu VP P70 Jan 0.7249649 -0.7249649 0.7234125 0.7249649 0 1 1 1 -0.7249649
0.8695652 KL Fri VP P70 Jan 0.8609395 0.0086257 0.8593872 0.8609395 0 1 1 1 0.0086257
0.9500000 M4 Fri VP P70 Jan 0.8731704 0.0768296 0.8716180 0.8731704 0 1 1 1 0.0768296
0.2000000 MP Fri VP P70 Jan 0.7375416 -0.5375416 0.7359893 0.7375416 0 1 1 1 -0.5375416
0.7674419 KL Sat VP P70 Jan 0.8354148 -0.0679730 0.8338625 0.8354148 0 1 1 1 -0.0679730
1.0000000 M4 Sat VP P70 Jan 0.8476457 0.1523543 0.8460933 0.8476457 0 1 1 1 0.1523543
0.4146341 MP Sat VP P70 Jan 0.7120169 -0.2973828 0.7104646 0.7120169 0 1 1 1 -0.2973828
1.0000000 RU-PHEV Sun J1 P100 Feb 0.8331352 0.1668648 0.8369785 0.8331352 0 1 1 1 0.1668648
0.8888889 RU-PHEV Mon J1 P100 Feb 0.8612874 0.0276015 0.8651306 0.8612874 0 1 1 1 0.0276015
1.0000000 RU-PHEV Tue J1 P100 Feb 0.8373102 0.1626898 0.8411534 0.8373102 0 1 1 1 0.1626898
0.8888889 RU-PHEV Wed J1 P100 Feb 0.8462663 0.0426226 0.8501095 0.8462663 0 1 1 1 0.0426226
1.0000000 RU-PHEV Thu J1 P100 Feb 0.8640177 0.1359823 0.8678610 0.8640177 0 1 1 1 0.1359823
0.9830508 RU-PHEV Fri J1 P100 Feb 0.8765945 0.1064564 0.8804377 0.8765945 0 1 1 1 0.1064564
0.9819820 RU-PHEV Sat J1 P100 Feb 0.8510698 0.1309122 0.8549130 0.8510698 0 1 1 1 0.1309122
1.0000000 JL Sun Mule 2 P100 Feb 0.7771296 0.2228704 0.7809728 0.7771296 0 1 1 1 0.2228704
0.8888889 JL Mon Mule 2 P100 Feb 0.8052818 0.0836071 0.8091250 0.8052818 0 1 1 1 0.0836071
0.9285714 JL Tue Mule 2 P100 Feb 0.7813045 0.1472669 0.7851478 0.7813045 0 1 1 1 0.1472669
0.4347826 JL Wed Mule 2 P100 Feb 0.7902607 -0.3554780 0.7941039 0.7902607 0 1 1 1 -0.3554780
0.3448276 JL Thu Mule 2 P100 Feb 0.8080121 -0.4631845 0.8118553 0.8080121 0 1 1 1 -0.4631845
0.3888889 JL Fri Mule 2 P100 Feb 0.8205889 -0.4317000 0.8244321 0.8205889 0 1 1 1 -0.4317000
0.8695652 JL Sat Mule 2 P100 Feb 0.7950642 0.0745011 0.7989074 0.7950642 0 1 1 1 0.0745011
0.7008310 JL Sun Proto P100 Feb 0.5506381 0.1501929 0.5544813 0.5506381 0 1 1 1 0.1501929
1.0000000 DP Mon Proto P100 Feb 0.9387463 0.0612537 0.9425896 0.9387463 0 1 1 1 0.0612537
0.6250000 DT Mon Proto P100 Feb 0.5862779 0.0387221 0.5901211 0.5862779 0 1 1 1 0.0387221
0.4772727 JL Mon Proto P100 Feb 0.5787902 -0.1015175 0.5826335 0.5787902 0 1 1 1 -0.1015175
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0.9450549 RU-PHEV Fri PS P100 Feb 0.9515839 -0.0065290 0.9554272 0.9515839 0 1 1 1 -0.0065290
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0.3286713 WD-SRT Mon Comp Veh P70 Feb 0.2126343 0.1160371 0.2164775 0.2126343 0 1 1 1 0.1160371
0.1666667 WD-SRT Tue Comp Veh P70 Feb 0.1886571 -0.0219904 0.1925003 0.1886571 0 1 1 1 -0.0219904
0.0000000 WD-SRT Wed Comp Veh P70 Feb 0.1976132 -0.1976132 0.2014564 0.1976132 0 1 1 1 -0.1976132
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0.1739130 WD-SRT Fri Comp Veh P70 Feb 0.2279414 -0.0540283 0.2317846 0.2279414 0 1 1 1 -0.0540283
0.0000000 WD-SRT Sat Comp Veh P70 Feb 0.2024167 -0.2024167 0.2062599 0.2024167 0 1 1 1 -0.2024167
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1.0000000 LA Sat VP P70 Feb 0.7142359 0.2857641 0.7180792 0.7142359 0 1 1 1 0.2857641
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0.1230769 KL Fri Mule P85 Feb 0.6799054 -0.5568285 0.6837487 0.6799054 0 1 1 1 -0.5568285
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0.6239316 JL Sat Proto P85 Feb 0.5886161 0.0353155 0.5924594 0.5886161 0 1 1 1 0.0353155
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0.9354839 RU-PHEV Tue VP P100 Feb 0.7880094 0.1474745 0.7918526 0.7880094 0 1 1 1 0.1474745
0.9382716 RU-PHEV Wed VP P100 Feb 0.7969655 0.1413061 0.8008087 0.7969655 0 1 1 1 0.1413061
0.9030303 RU-PHEV Thu VP P100 Feb 0.8147169 0.0883134 0.8185602 0.8147169 0 1 1 1 0.0883134
0.9745223 RU-PHEV Fri VP P100 Feb 0.8272937 0.1472286 0.8311369 0.8272937 0 1 1 1 0.1472286
0.8737864 RU-PHEV Sat VP P100 Feb 0.8017690 0.0720174 0.8056122 0.8017690 0 1 1 1 0.0720174
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1.0000000 39 Tue Comp Veh P70 Feb 0.3274196 0.6725804 0.3312628 0.3274196 0 1 1 1 0.6725804
0.8333333 39 Wed Comp Veh P70 Feb 0.3363757 0.4969576 0.3402190 0.3363757 0 1 1 1 0.4969576
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0.5961538 JL Thu Mule P100 Mar 0.6115449 -0.0153911 0.5841557 0.6115449 0 1 1 1 -0.0153911
0.8461538 JL Fri Mule P100 Mar 0.6241217 0.2220321 0.5967324 0.6241217 0 1 1 1 0.2220321
0.8478261 JL Sat Mule P100 Mar 0.5985970 0.2492291 0.5712077 0.5985970 0 1 1 1 0.2492291
1.0000000 DP Sun Proto P100 Mar 0.9418267 0.0581733 0.9144374 0.9418267 0 1 1 1 0.0581733
0.5286624 DT Sun Proto P100 Mar 0.5893583 -0.0606958 0.5619690 0.5893583 0 1 1 1 -0.0606958
0.7356828 JL Sun Proto P100 Mar 0.5818706 0.1538122 0.5544813 0.5818706 0 1 1 1 0.1538122
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0.4166667 KL Tue PS P70 Mar 0.9717824 -0.5551157 0.9443931 0.9717824 0 1 1 1 -0.5551157
1.0000000 K4 Wed PS P70 Mar 0.8727018 0.1272982 0.8453126 0.8727018 0 1 1 1 0.1272982
0.8888889 KL Wed PS P70 Mar 0.9807385 -0.0918496 0.9533492 0.9807385 0 1 1 1 -0.0918496
1.0000000 K4 Thu PS P70 Mar 0.8904533 0.1095467 0.8630640 0.8904533 0 1 1 1 0.1095467
1.0000000 KL Thu PS P70 Mar 0.9984899 0.0015101 0.9711006 0.9984899 0 1 1 1 0.0015101
1.0000000 K4 Fri PS P70 Mar 0.9030300 0.0969700 0.8756408 0.9030300 0 1 1 1 0.0969700
1.0000000 KL Fri PS P70 Mar 1.0110667 -0.0110667 0.9836774 1.0110667 0 1 1 1 -0.0110667
1.0000000 KL Sat PS P70 Mar 0.9855420 0.0144580 0.9581527 0.9855420 0 1 1 1 0.0144580
0.4142857 MP Sun VP P70 Mar 0.7199193 -0.3056336 0.6925300 0.7199193 0 1 1 1 -0.3056336
1.0000000 VM Sun VP P70 Mar 0.7137560 0.2862440 0.6863668 0.7137560 0 1 1 1 0.2862440
0.8380952 MP Mon VP P70 Mar 0.7480715 0.0900238 0.7206822 0.7480715 0 1 1 1 0.0900238
1.0000000 VM Mon VP P70 Mar 0.7419082 0.2580918 0.7145189 0.7419082 0 1 1 1 0.2580918
0.8846154 MP Tue VP P70 Mar 0.7240942 0.1605211 0.6967050 0.7240942 0 1 1 1 0.1605211
0.8888889 VM Tue VP P70 Mar 0.7179310 0.1709579 0.6905417 0.7179310 0 1 1 1 0.1709579
0.7847222 MP Wed VP P70 Mar 0.7330503 0.0516719 0.7056611 0.7330503 0 1 1 1 0.0516719
1.0000000 VM Wed VP P70 Mar 0.7268871 0.2731129 0.6994978 0.7268871 0 1 1 1 0.2731129
0.9565217 MP Thu VP P70 Mar 0.7508018 0.2057200 0.7234125 0.7508018 0 1 1 1 0.2057200
1.0000000 VM Thu VP P70 Mar 0.7446385 0.2553615 0.7172492 0.7446385 0 1 1 1 0.2553615
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1.0000000 VM Fri VP P70 Mar 0.7572153 0.2427847 0.7298260 0.7572153 0 1 1 1 0.2427847
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0.8518519 DT Sun Mule P100 Mar 0.5881501 0.2637017 0.5607608 0.5881501 0 1 1 1 0.2637017
1.0000000 DT Wed Mule P100 Mar 0.6012812 0.3987188 0.5738919 0.6012812 0 1 1 1 0.3987188
1.0000000 DT Thu Mule P100 Mar 0.6190326 0.3809674 0.5916433 0.6190326 0 1 1 1 0.3809674
0.4871795 DT Fri Mule P100 Mar 0.6316094 -0.1444299 0.6042201 0.6316094 0 1 1 1 -0.1444299
0.2727273 DT Sat Mule P100 Mar 0.6060847 -0.3333574 0.5786954 0.6060847 0 1 1 1 -0.3333574
1.0000000 DT Mon Mule P70 Mar 0.6317470 0.3682530 0.6043577 0.6317470 0 1 1 1 0.3682530
0.6666667 DT Tue Mule P70 Mar 0.6077697 0.0588969 0.5803805 0.6077697 0 1 1 1 0.0588969
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0.3333333 WD-SRT Sun VP P70 Mar 0.2102159 0.1231174 0.1828267 0.2102159 0 1 1 1 0.1231174
1.0000000 WD Mon VP P70 Mar 0.8534046 0.1465954 0.8260153 0.8534046 0 1 1 1 0.1465954
0.6923077 WD-SRT Mon VP P70 Mar 0.2383681 0.4539396 0.2109788 0.2383681 0 1 1 1 0.4539396
0.7922078 WD Tue VP P70 Mar 0.8294273 -0.0372196 0.8020381 0.8294273 0 1 1 1 -0.0372196
1.0000000 WD-SRT Tue VP P70 Mar 0.2143909 0.7856091 0.1870016 0.2143909 0 1 1 1 0.7856091
1.0000000 WD Wed VP P70 Mar 0.8383835 0.1616165 0.8109942 0.8383835 0 1 1 1 0.1616165
0.7142857 WD-SRT Wed VP P70 Mar 0.2233470 0.4909387 0.1959577 0.2233470 0 1 1 1 0.4909387
0.9218750 WD Thu VP P70 Mar 0.8561349 0.0657401 0.8287456 0.8561349 0 1 1 1 0.0657401
0.5000000 WD-SRT Thu VP P70 Mar 0.2410984 0.2589016 0.2137091 0.2410984 0 1 1 1 0.2589016
1.0000000 WD Fri VP P70 Mar 0.8687117 0.1312883 0.8413224 0.8687117 0 1 1 1 0.1312883
0.5000000 WD-SRT Fri VP P70 Mar 0.2536752 0.2463248 0.2262859 0.2536752 0 1 1 1 0.2463248
0.7058824 WD Sat VP P70 Mar 0.8431870 -0.1373046 0.8157977 0.8431870 0 1 1 1 -0.1373046
0.3333333 WD-SRT Sat VP P70 Mar 0.2281505 0.1051828 0.2007612 0.2281505 0 1 1 1 0.1051828
0.0000000 JL Sun Mule P100 Apr 0.6005200 -0.6005200 0.5532732 0.6005200 0 1 1 1 -0.6005200
0.5555556 JL Sat Mule P100 Apr 0.6184546 -0.0628990 0.5712077 0.6184546 0 1 1 1 -0.0628990
0.4883921 DT Sun Proto P100 Apr 0.6092158 -0.1208237 0.5619690 0.6092158 0 1 1 1 -0.1208237
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0.6233184 DT Wed Proto P100 Apr 0.6223469 0.0009715 0.5751000 0.6223469 0 1 1 1 0.0009715
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0.7341577 DT Fri Proto P100 Apr 0.6526751 0.0814826 0.6054282 0.6526751 0 1 1 1 0.0814826
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0.5911602 DT Sat Proto P100 Apr 0.6271504 -0.0359902 0.5799035 0.6271504 0 1 1 1 -0.0359902
0.5346795 JL Sat Proto P100 Apr 0.6196627 -0.0849832 0.5724159 0.6196627 0 1 1 1 -0.0849832
0.8622047 M1 Sun VP P100 Apr 0.7815278 0.0806769 0.7342810 0.7815278 0 1 1 1 0.0806769
1.0000000 RU Sun VP P100 Apr 0.8998710 0.1001290 0.8526241 0.8998710 0 1 1 1 0.1001290
1.0000000 M1 Mon VP P100 Apr 0.8096799 0.1903201 0.7624331 0.8096799 0 1 1 1 0.1903201
0.8333333 M1 Tue VP P100 Apr 0.7857027 0.0476306 0.7384559 0.7857027 0 1 1 1 0.0476306
1.0000000 M1 Wed VP P100 Apr 0.7946588 0.2053412 0.7474120 0.7946588 0 1 1 1 0.2053412
0.6992481 M1 Thu VP P100 Apr 0.8124103 -0.1131622 0.7651634 0.8124103 0 1 1 1 -0.1131622
1.0000000 M1 Fri VP P100 Apr 0.8249870 0.1750130 0.7777402 0.8249870 0 1 1 1 0.1750130
1.0000000 RU Fri VP P100 Apr 0.9433302 0.0566698 0.8960834 0.9433302 0 1 1 1 0.0566698
0.9017857 M1 Sat VP P100 Apr 0.7994623 0.1023234 0.7522155 0.7994623 0 1 1 1 0.1023234
0.8000000 RU Sat VP P100 Apr 0.9178055 -0.1178055 0.8705587 0.9178055 0 1 1 1 -0.1178055
1.0000000 M1 Sun PS P70 Apr 0.9212627 0.0787373 0.8740159 0.9212627 0 1 1 1 0.0787373
0.8750000 MP Sun PS P70 Apr 0.8640671 0.0109329 0.8168203 0.8640671 0 1 1 1 0.0109329
1.0000000 M1 Mon PS P70 Apr 0.9494149 0.0505851 0.9021681 0.9494149 0 1 1 1 0.0505851
1.0000000 MP Mon PS P70 Apr 0.8922193 0.1077807 0.8449724 0.8922193 0 1 1 1 0.1077807
0.8947368 M1 Tue PS P70 Apr 0.9254377 -0.0307008 0.8781909 0.9254377 0 1 1 1 -0.0307008
0.7142857 MP Tue PS P70 Apr 0.8682421 -0.1539563 0.8209952 0.8682421 0 1 1 1 -0.1539563
1.0000000 M1 Wed PS P70 Apr 0.9343938 0.0656062 0.8871470 0.9343938 0 1 1 1 0.0656062
0.7727273 MP Wed PS P70 Apr 0.8771982 -0.1044709 0.8299513 0.8771982 0 1 1 1 -0.1044709
1.0000000 M1 Thu PS P70 Apr 0.9521452 0.0478548 0.9048984 0.9521452 0 1 1 1 0.0478548
1.0000000 MP Thu PS P70 Apr 0.8949496 0.1050504 0.8477028 0.8949496 0 1 1 1 0.1050504
0.7500000 M1 Fri PS P70 Apr 0.9647220 -0.2147220 0.9174752 0.9647220 0 1 1 1 -0.2147220
0.5625000 MP Fri PS P70 Apr 0.9075264 -0.3450264 0.8602795 0.9075264 0 1 1 1 -0.3450264
1.0000000 M1 Sat PS P70 Apr 0.9391973 0.0608027 0.8919505 0.9391973 0 1 1 1 0.0608027
0.9412844 MP Sat PS P70 Apr 0.8820017 0.0592827 0.8347548 0.8820017 0 1 1 1 0.0592827
1.0000000 KL Sun VP P70 Apr 0.8631747 0.1368253 0.8159279 0.8631747 0 1 1 1 0.1368253
0.7611940 LA Sun VP P70 Apr 0.7473914 0.0138026 0.7001446 0.7473914 0 1 1 1 0.0138026
1.0000000 LX Sun VP P70 Apr 0.8978757 0.1021243 0.8506289 0.8978757 0 1 1 1 0.1021243
1.0000000 M1 Sun VP P70 Apr 0.7969725 0.2030275 0.7497257 0.7969725 0 1 1 1 0.2030275
1.0000000 M4 Sun VP P70 Apr 0.8754056 0.1245944 0.8281587 0.8754056 0 1 1 1 0.1245944
1.0000000 MP Sun VP P70 Apr 0.7397769 0.2602231 0.6925300 0.7397769 0 1 1 1 0.2602231
1.0000000 RU Sun VP P70 Apr 0.9153157 0.0846843 0.8680688 0.9153157 0 1 1 1 0.0846843
0.3142857 RU-PHEV Sun VP P70 Apr 0.8503692 -0.5360835 0.8031224 0.8503692 0 1 1 1 -0.5360835
1.0000000 WD Sun VP P70 Apr 0.8451100 0.1548900 0.7978631 0.8451100 0 1 1 1 0.1548900
1.0000000 WK Sun VP P70 Apr 0.8877754 0.1122246 0.8405286 0.8877754 0 1 1 1 0.1122246
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0.6544118 LA Mon VP P70 Apr 0.7755436 -0.1211318 0.7282968 0.7755436 0 1 1 1 -0.1211318
0.8235294 LX Mon VP P70 Apr 0.9260279 -0.1024985 0.8787811 0.9260279 0 1 1 1 -0.1024985
1.0000000 M1 Mon VP P70 Apr 0.8251246 0.1748754 0.7778778 0.8251246 0 1 1 1 0.1748754
0.9338843 M4 Mon VP P70 Apr 0.9035577 0.0303266 0.8563109 0.9035577 0 1 1 1 0.0303266
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1.0000000 WD Mon VP P70 Apr 0.8732621 0.1267379 0.8260153 0.8732621 0 1 1 1 0.1267379
0.9576471 WK Mon VP P70 Apr 0.9159276 0.0417195 0.8686808 0.9159276 0 1 1 1 0.0417195
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0.5396825 LA Tue VP P70 Apr 0.7515664 -0.2118838 0.7043196 0.7515664 0 1 1 1 -0.2118838
0.7466667 LX Tue VP P70 Apr 0.9020507 -0.1553840 0.8548039 0.9020507 0 1 1 1 -0.1553840
0.8653846 M1 Tue VP P70 Apr 0.8011474 0.0642372 0.7539006 0.8011474 0 1 1 1 0.0642372
0.5245902 M4 Tue VP P70 Apr 0.8795805 -0.3549903 0.8323337 0.8795805 0 1 1 1 -0.3549903
1.0000000 MP Tue VP P70 Apr 0.7439518 0.2560482 0.6967050 0.7439518 0 1 1 1 0.2560482
0.8055556 RU Tue VP P70 Apr 0.9194906 -0.1139350 0.8722438 0.9194906 0 1 1 1 -0.1139350
0.8400000 RU-PHEV Tue VP P70 Apr 0.8545441 -0.0145441 0.8072973 0.8545441 0 1 1 1 -0.0145441
0.8987342 WD Tue VP P70 Apr 0.8492849 0.0494493 0.8020381 0.8492849 0 1 1 1 0.0494493
0.8653199 WK Tue VP P70 Apr 0.8919504 -0.0266305 0.8447035 0.8919504 0 1 1 1 -0.0266305
1.0000000 KL Wed VP P70 Apr 0.8763058 0.1236942 0.8290589 0.8763058 0 1 1 1 0.1236942
0.9294118 LA Wed VP P70 Apr 0.7605225 0.1688893 0.7132757 0.7605225 0 1 1 1 0.1688893
0.7192982 LX Wed VP P70 Apr 0.9110068 -0.1917085 0.8637600 0.9110068 0 1 1 1 -0.1917085
0.9565217 M1 Wed VP P70 Apr 0.8101035 0.1464182 0.7628567 0.8101035 0 1 1 1 0.1464182
0.9740260 M4 Wed VP P70 Apr 0.8885366 0.0854894 0.8412898 0.8885366 0 1 1 1 0.0854894
0.6666667 MP Wed VP P70 Apr 0.7529079 -0.0862412 0.7056611 0.7529079 0 1 1 1 -0.0862412
0.9500000 RU Wed VP P70 Apr 0.9284467 0.0215533 0.8811999 0.9284467 0 1 1 1 0.0215533
1.0000000 RU-PHEV Wed VP P70 Apr 0.8635002 0.1364998 0.8162534 0.8635002 0 1 1 1 0.1364998
0.9268293 WD Wed VP P70 Apr 0.8582410 0.0685883 0.8109942 0.8582410 0 1 1 1 0.0685883
0.7830375 WK Wed VP P70 Apr 0.9009065 -0.1178690 0.8536597 0.9009065 0 1 1 1 -0.1178690
0.7631579 KL Thu VP P70 Apr 0.8940572 -0.1308993 0.8468104 0.8940572 0 1 1 1 -0.1308993
0.7619048 LA Thu VP P70 Apr 0.7782739 -0.0163692 0.7310271 0.7782739 0 1 1 1 -0.0163692
0.6315789 LX Thu VP P70 Apr 0.9287582 -0.2971793 0.8815114 0.9287582 0 1 1 1 -0.2971793
0.7272727 M1 Thu VP P70 Apr 0.8278550 -0.1005822 0.7806081 0.8278550 0 1 1 1 -0.1005822
1.0000000 M4 Thu VP P70 Apr 0.9062880 0.0937120 0.8590412 0.9062880 0 1 1 1 0.0937120
1.0000000 MP Thu VP P70 Apr 0.7706593 0.2293407 0.7234125 0.7706593 0 1 1 1 0.2293407
0.8339100 RU Thu VP P70 Apr 0.9461981 -0.1122881 0.8989513 0.9461981 0 1 1 1 -0.1122881
1.0000000 RU-PHEV Thu VP P70 Apr 0.8812517 0.1187483 0.8340049 0.8812517 0 1 1 1 0.1187483
0.9411765 WD Thu VP P70 Apr 0.8759924 0.0651840 0.8287456 0.8759924 0 1 1 1 0.0651840
0.9032258 WK Thu VP P70 Apr 0.9186579 -0.0154321 0.8714111 0.9186579 0 1 1 1 -0.0154321
0.6981132 KL Fri VP P70 Apr 0.9066340 -0.2085208 0.8593872 0.9066340 0 1 1 1 -0.2085208
0.9304348 LA Fri VP P70 Apr 0.7908507 0.1395841 0.7436039 0.7908507 0 1 1 1 0.1395841
1.0000000 LX Fri VP P70 Apr 0.9413350 0.0586650 0.8940882 0.9413350 0 1 1 1 0.0586650
0.6825397 M1 Fri VP P70 Apr 0.8404317 -0.1578921 0.7931849 0.8404317 0 1 1 1 -0.1578921
0.7882353 M4 Fri VP P70 Apr 0.9188648 -0.1306295 0.8716180 0.9188648 0 1 1 1 -0.1306295
1.0000000 MP Fri VP P70 Apr 0.7832361 0.2167639 0.7359893 0.7832361 0 1 1 1 0.2167639
0.8112245 RU Fri VP P70 Apr 0.9587749 -0.1475504 0.9115281 0.9587749 0 1 1 1 -0.1475504
0.9444444 RU-PHEV Fri VP P70 Apr 0.8938284 0.0506160 0.8465816 0.8938284 0 1 1 1 0.0506160
0.9449541 WD Fri VP P70 Apr 0.8885692 0.0563849 0.8413224 0.8885692 0 1 1 1 0.0563849
0.8911175 WK Fri VP P70 Apr 0.9312347 -0.0401172 0.8839879 0.9312347 0 1 1 1 -0.0401172
1.0000000 KL Sat VP P70 Apr 0.8811093 0.1188907 0.8338625 0.8811093 0 1 1 1 0.1188907
0.9148936 LA Sat VP P70 Apr 0.7653260 0.1495676 0.7180792 0.7653260 0 1 1 1 0.1495676
1.0000000 LX Sat VP P70 Apr 0.9158103 0.0841897 0.8685635 0.9158103 0 1 1 1 0.0841897
1.0000000 M1 Sat VP P70 Apr 0.8149070 0.1850930 0.7676602 0.8149070 0 1 1 1 0.1850930
1.0000000 M4 Sat VP P70 Apr 0.8933401 0.1066599 0.8460933 0.8933401 0 1 1 1 0.1066599
1.0000000 MP Sat VP P70 Apr 0.7577114 0.2422886 0.7104646 0.7577114 0 1 1 1 0.2422886
0.9642857 RU Sat VP P70 Apr 0.9332502 0.0310355 0.8860034 0.9332502 0 1 1 1 0.0310355
0.6756152 RU-PHEV Sat VP P70 Apr 0.8683037 -0.1926885 0.8210569 0.8683037 0 1 1 1 -0.1926885
1.0000000 WD Sat VP P70 Apr 0.8630445 0.1369555 0.8157977 0.8630445 0 1 1 1 0.1369555
0.9842271 WK Sat VP P70 Apr 0.9057100 0.0785171 0.8584632 0.9057100 0 1 1 1 0.0785171
0.6559633 KL Sun Mule P85 Apr 0.6875362 -0.0315729 0.6402894 0.6875362 0 1 1 1 -0.0315729
0.6115108 KL Mon Mule P85 Apr 0.7156884 -0.1041776 0.6684416 0.7156884 0 1 1 1 -0.1041776
0.4868805 KL Tue Mule P85 Apr 0.6917112 -0.2048307 0.6444643 0.6917112 0 1 1 1 -0.2048307
0.8401937 KL Wed Mule P85 Apr 0.7006673 0.1395264 0.6534205 0.7006673 0 1 1 1 0.1395264
0.8704663 KL Thu Mule P85 Apr 0.7184187 0.1520476 0.6711719 0.7184187 0 1 1 1 0.1520476
0.7758621 KL Fri Mule P85 Apr 0.7309955 0.0448666 0.6837487 0.7309955 0 1 1 1 0.0448666
0.7948718 KL Sat Mule P85 Apr 0.7054708 0.0894010 0.6582240 0.7054708 0 1 1 1 0.0894010
0.2222222 K8 Sun Proto P85 Apr 0.5225656 -0.3003434 0.4753188 0.5225656 0 1 1 1 -0.3003434
0.7272727 K8 Mon Proto P85 Apr 0.5507178 0.1765549 0.5034710 0.5507178 0 1 1 1 0.1765549
0.6250000 K8 Tue Proto P85 Apr 0.5267406 0.0982594 0.4794938 0.5267406 0 1 1 1 0.0982594
1.0000000 K8 Wed Proto P85 Apr 0.5356967 0.4643033 0.4884499 0.5356967 0 1 1 1 0.4643033
0.5000000 K8 Thu Proto P85 Apr 0.5534481 -0.0534481 0.5062013 0.5534481 0 1 1 1 -0.0534481
0.9183673 K8 Fri Proto P85 Apr 0.5660249 0.3523424 0.5187781 0.5660249 0 1 1 1 0.3523424
0.2333333 K8 Sat Proto P85 Apr 0.5405002 -0.3071669 0.4932534 0.5405002 0 1 1 1 -0.3071669
1.0000000 KL Sun PS P100 Apr 0.9720203 0.0279797 0.9247735 0.9720203 0 1 1 1 0.0279797
1.0000000 KL Wed PS P100 Apr 0.9851513 0.0148487 0.9379045 0.9851513 0 1 1 1 0.0148487
1.0000000 KL Thu PS P100 Apr 1.0029028 -0.0029028 0.9556560 1.0029028 0 1 1 1 -0.0029028
0.7500000 KL Fri PS P100 Apr 1.0154795 -0.2654795 0.9682327 1.0154795 0 1 1 1 -0.2654795
1.0000000 KL Sat PS P100 Apr 0.9899548 0.0100452 0.9427080 0.9899548 0 1 1 1 0.0100452
1.0000000 MP Sun VP P100 Apr 0.7243322 0.2756678 0.6770853 0.7243322 0 1 1 1 0.2756678
1.0000000 RU-PHEV Sun VP P100 Apr 0.8349245 0.1650755 0.7876777 0.8349245 0 1 1 1 0.1650755
1.0000000 MP Mon VP P100 Apr 0.7524843 0.2475157 0.7052375 0.7524843 0 1 1 1 0.2475157
0.9279928 RU-PHEV Mon VP P100 Apr 0.8630767 0.0649161 0.8158298 0.8630767 0 1 1 1 0.0649161
1.0000000 MP Tue VP P100 Apr 0.7285071 0.2714929 0.6812603 0.7285071 0 1 1 1 0.2714929
0.8933333 RU-PHEV Tue VP P100 Apr 0.8390994 0.0542339 0.7918526 0.8390994 0 1 1 1 0.0542339
1.0000000 MP Wed VP P100 Apr 0.7374632 0.2625368 0.6902164 0.7374632 0 1 1 1 0.2625368
1.0000000 RU-PHEV Wed VP P100 Apr 0.8480556 0.1519444 0.8008087 0.8480556 0 1 1 1 0.1519444
1.0000000 MP Thu VP P100 Apr 0.7552146 0.2447854 0.7079678 0.7552146 0 1 1 1 0.2447854
0.9477124 RU-PHEV Thu VP P100 Apr 0.8658070 0.0819054 0.8185602 0.8658070 0 1 1 1 0.0819054
1.0000000 MP Fri VP P100 Apr 0.7677914 0.2322086 0.7205446 0.7677914 0 1 1 1 0.2322086
0.8518519 RU-PHEV Fri VP P100 Apr 0.8783838 -0.0265319 0.8311369 0.8783838 0 1 1 1 -0.0265319
0.8888889 MP Sat VP P100 Apr 0.7422667 0.1466222 0.6950199 0.7422667 0 1 1 1 0.1466222
0.8156342 RU-PHEV Sat VP P100 Apr 0.8528591 -0.0372248 0.8056122 0.8528591 0 1 1 1 -0.0372248
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1.0000000 RU-PHEV Sat VP P70 Jun 0.8088675 0.1911325 0.8210569 0.8088675 0 1 1 1 0.1911325
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0.9615385 RU-PHEV Mon J1 P100 Jun 0.8529412 0.1085972 0.8651306 0.8529412 0 1 1 1 0.1085972
1.0000000 RU-PHEV Tue J1 P100 Jun 0.8289640 0.1710360 0.8411534 0.8289640 0 1 1 1 0.1710360
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1.0000000 RU-PHEV Sat J1 P100 Jun 0.8427236 0.1572764 0.8549130 0.8427236 0 1 1 1 0.1572764
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1.0000000 RU-PHEV Sun VP P100 Jun 0.7754883 0.2245117 0.7876777 0.7754883 0 1 1 1 0.2245117
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0.7500000 MP Fri VP P70 Jun 0.7237999 0.0262001 0.7359893 0.7237999 0 1 1 1 0.0262001
0.9200000 KL Sat VP P70 Jun 0.8216730 0.0983270 0.8338625 0.8216730 0 1 1 1 0.0983270
1.0000000 M1 Sat VP P70 Jun 0.7554708 0.2445292 0.7676602 0.7554708 0 1 1 1 0.2445292
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0.6266667 KL Mon VP P100 Jul 0.7808717 -0.1542050 0.8286354 0.7808717 0 1 1 1 -0.1542050
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0.2083333 KL Tue VP P100 Jul 0.7568944 -0.5485611 0.8046581 0.7568944 0 1 1 1 -0.5485611
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0.8295455 JL Thu VP P100 Jul 0.7166293 0.1129162 0.7643930 0.7166293 0 1 1 1 0.1129162
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0.5517241 KL Fri VP P100 Jul 0.7961788 -0.2444546 0.8439425 0.7961788 0 1 1 1 -0.2444546
0.0000000 M6 Fri VP P100 Jul 0.5520789 -0.5520789 0.5998426 0.5520789 0 1 1 1 -0.5520789
0.8175938 JL Sat VP P100 Jul 0.7036813 0.1139125 0.7514450 0.7036813 0 1 1 1 0.1139125
0.5384615 KL Sat VP P100 Jul 0.7706541 -0.2321925 0.8184178 0.7706541 0 1 1 1 -0.2321925
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0.4123711 JL Sun VP(B) P100 Jul 0.5173535 -0.1049823 0.5651172 0.5173535 0 1 1 1 -0.1049823
0.3859649 JL Mon VP(B) P100 Jul 0.5455056 -0.1595407 0.5932693 0.5455056 0 1 1 1 -0.1595407
0.4615385 JL Tue VP(B) P100 Jul 0.5215284 -0.0599899 0.5692921 0.5215284 0 1 1 1 -0.0599899
0.4934211 JL Wed VP(B) P100 Jul 0.5304845 -0.0370635 0.5782482 0.5304845 0 1 1 1 -0.0370635
0.6129032 JL Thu VP(B) P100 Jul 0.5482359 0.0646673 0.5959996 0.5482359 0 1 1 1 0.0646673
0.5714286 JL Fri VP(B) P100 Jul 0.5608127 0.0106159 0.6085764 0.5608127 0 1 1 1 0.0106159
0.5000000 JL Sat VP(B) P100 Jul 0.5352880 -0.0352880 0.5830517 0.5352880 0 1 1 1 -0.0352880
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0.2750000 BU Mon J1 P70 Jul 0.5839002 -0.3089002 0.6316639 0.5839002 0 1 1 1 -0.3089002
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0.6666667 BU Fri J1 P70 Jul 0.5992073 0.0674593 0.6469711 0.5992073 0 1 1 1 0.0674593
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0.3513514 KL Sun Mule P70 Jul 0.5879269 -0.2365755 0.6356906 0.5879269 0 1 1 1 -0.2365755
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0.9197861 KL Tue Mule P70 Jul 0.5921018 0.3276843 0.6398655 0.5921018 0 1 1 1 0.3276843
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0.6666667 JL Sun Proto P70 Jul 0.5221623 0.1445044 0.5699260 0.5221623 0 1 1 1 0.1445044
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0.4557823 JL Tue Proto P70 Jul 0.5263373 -0.0705549 0.5741010 0.5263373 0 1 1 1 -0.0705549
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0.3877551 JL Fri Proto P70 Jul 0.5656216 -0.1778665 0.6133853 0.5656216 0 1 1 1 -0.1778665
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0.8000000 KL Wed Mule P85 Aug 0.6292816 0.1707184 0.6534205 0.6292816 0 1 1 1 0.1707184
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0.1666667 DT Mon Proto P85 Aug 0.5860258 -0.4193591 0.6101647 0.5860258 0 1 1 1 -0.4193591
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0.5781250 DT Tue Proto P85 Aug 0.5620486 0.0160764 0.5861874 0.5620486 0 1 1 1 0.0160764
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1.0000000 RU-PHEV Mon J1 P100 Aug 0.8409918 0.1590082 0.8651306 0.8409918 0 1 1 1 0.1590082
0.9285714 RU-PHEV Tue J1 P100 Aug 0.8170146 0.1115569 0.8411534 0.8170146 0 1 1 1 0.1115569
0.8828829 RU-PHEV Wed J1 P100 Aug 0.8259707 0.0569122 0.8501095 0.8259707 0 1 1 1 0.0569122
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0.8865979 RU-PHEV Fri J1 P100 Aug 0.8562989 0.0302991 0.8804377 0.8562989 0 1 1 1 0.0302991
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1.0000000 RU-PHEV Sun PS P100 Aug 0.8878291 0.1121709 0.9119679 0.8878291 0 1 1 1 0.1121709
1.0000000 RU-PHEV Mon PS P100 Aug 0.9159812 0.0840188 0.9401201 0.9159812 0 1 1 1 0.0840188
0.8409091 RU-PHEV Tue PS P100 Aug 0.8920040 -0.0510949 0.9161429 0.8920040 0 1 1 1 -0.0510949
0.9062500 RU-PHEV Wed PS P100 Aug 0.9009601 0.0052899 0.9250990 0.9009601 0 1 1 1 0.0052899
0.8888889 RU-PHEV Thu PS P100 Aug 0.9187116 -0.0298227 0.9428504 0.9187116 0 1 1 1 -0.0298227
1.0000000 RU-PHEV Fri PS P100 Aug 0.9312883 0.0687117 0.9554272 0.9312883 0 1 1 1 0.0687117
1.0000000 RU-PHEV Sat PS P100 Aug 0.9057636 0.0942364 0.9299025 0.9057636 0 1 1 1 0.0942364
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0.9583333 RU-PHEV Mon VP P100 Aug 0.7916910 0.1666424 0.8158298 0.7916910 0 1 1 1 0.1666424
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0.9425000 RU-PHEV Tue J1 P70 Aug 0.8324593 0.1100407 0.8565981 0.8324593 0 1 1 1 0.1100407
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0.9479167 RU-PHEV Tue PS P70 Aug 0.9074487 0.0404680 0.9315876 0.9074487 0 1 1 1 0.0404680
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broom::confint_tidy(fit)%>%knitr::kable()
conf.low conf.high
0.0142620 0.0609207
0.2301380 0.2466146
0.1716578 0.5278163
0.0884267 0.3745952
0.2494629 0.6101790
0.5677207 1.0066452
0.3557721 0.8697215
0.2776560 0.5895776
0.4374845 0.7400907
0.2827722 0.5700228
0.2184250 0.5562099
0.1679325 0.4875446
0.3645526 0.6229316
0.2256741 0.5323221
0.3769493 0.6824623
0.2954920 0.5604105
0.3661147 0.6475812
0.1003499 0.3969355
0.2397379 0.5023911
0.3995530 0.6930104
0.3525908 0.6083984
-0.9177516 0.0501686
0.2086433 0.5197268
0.3316987 0.6209912
-0.3082622 0.0319246
0.3772567 0.6594399
-0.0584472 0.0278254
-0.0695045 0.0184359
-0.0874859 0.0005746
-0.0555422 0.0303778
-0.0822764 0.0037084
-0.0732375 0.0126228
-0.1962236 0.2069092
-0.0806496 0.1794644
-0.3064476 -0.0523274
-0.1273218 0.2238407
-0.3074778 -0.0490343
0.0004099 0.2488394
-0.3419994 0.1148016
-0.1172693 0.1182784
-0.3314168 -0.0067782
-0.0173805 0.0477335
-0.0404570 0.0796284 
broom::glance(fit)%>%knitr::kable()
sigma logLik AIC BIC deviance df.residual
0.2411369 -78.34515 242.6903 474.3618 -39.95656 1573 
aug1=broom::augment_columns(fit,CPGUptimeData)

DT::datatable(aug1)
#DT::datatable(aug1%>%select(APG_Uptime,.fitted))


###predicting with predict

#predict(fit,n.ahead=100,level=c(90,95))%>%tk_tbl()


#DT::datatable(predict(fit,n.ahead=50, prediction.interval = TRUE)%>%tk_tbl())

summary(fit)
## Linear mixed model fit by REML ['lmerMod']
## Formula: CPG_Uptime ~ vehicle_family_ref + Day_of_Week + build_phase +  
##     priority_category_cd + (1 | Month)
##    Data: CPGUptimeData
## 
## REML criterion at convergence: 156.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.0763 -0.4360  0.2236  0.6094  3.2579 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Month    (Intercept) 0.001135 0.03369 
##  Residual             0.058147 0.24114 
## Number of obs: 1616, groups:  Month, 8
## 
## Fixed effects:
##                            Estimate Std. Error t value
## (Intercept)                0.348327   0.091933   3.789
## vehicle_family_refBU       0.232622   0.073809   3.152
## vehicle_family_refDJ       0.430251   0.093114   4.621
## vehicle_family_refDP       0.787322   0.113364   6.945
## vehicle_family_refDS       0.611674   0.132651   4.611
## vehicle_family_refDT       0.434854   0.080464   5.404
## vehicle_family_refJK       0.589925   0.078062   7.557
## vehicle_family_refJL       0.427366   0.074110   5.767
## vehicle_family_refK4       0.386302   0.087181   4.431
## vehicle_family_refK8       0.328160   0.082525   3.976
## vehicle_family_refKL       0.494339   0.066716   7.410
## vehicle_family_refLA       0.378555   0.079176   4.781
## vehicle_family_refLX       0.529040   0.078865   6.708
## vehicle_family_refM1       0.428136   0.068441   6.256
## vehicle_family_refM4       0.506570   0.072665   6.971
## vehicle_family_refM6       0.250239   0.076385   3.276
## vehicle_family_refMP       0.370941   0.067823   5.469
## vehicle_family_refRU       0.546480   0.075810   7.209
## vehicle_family_refRU-PHEV  0.481533   0.065967   7.300
## vehicle_family_refUF      -0.436071   0.249771  -1.746
## vehicle_family_refVM       0.364778   0.080349   4.540
## vehicle_family_refWD       0.476274   0.074736   6.373
## vehicle_family_refWD-SRT  -0.138763   0.087839  -1.580
## vehicle_family_refWK       0.518939   0.072878   7.121
## Day_of_WeekMon            -0.015307   0.022273  -0.687
## Day_of_WeekSat            -0.025525   0.022703  -1.124
## Day_of_WeekSun            -0.043459   0.022734  -1.912
## Day_of_WeekThu            -0.012577   0.022181  -0.567
## Day_of_WeekTue            -0.039284   0.022198  -1.770
## Day_of_WeekWed            -0.030328   0.022166  -1.368
## build_phaseComp Veh        0.006776   0.103966   0.065
## build_phaseJ1              0.050578   0.067043   0.754
## build_phaseMule           -0.178961   0.065629  -2.727
## build_phaseMule 2          0.048739   0.090719   0.537
## build_phaseProto          -0.177752   0.066728  -2.664
## build_phasePS              0.125567   0.064076   1.960
## build_phaseV2             -0.113999   0.117925  -0.967
## build_phaseVP              0.001277   0.060774   0.021
## build_phaseVP(B)          -0.167117   0.083503  -2.001
## priority_category_cdP70    0.015445   0.016783   0.920
## priority_category_cdP85    0.020044   0.030958   0.647
## 
## Correlation matrix not shown by default, as p = 41 > 12.
## Use print(x, correlation=TRUE)  or
##   vcov(x)     if you need it
fitgl=lme4::glmer(CPG_Uptime~vehicle_family_ref+Day_of_Week+build_phase+priority_category_cd+(1|Month)   ,CPGUptimeData)
## Warning in lme4::glmer(CPG_Uptime ~ vehicle_family_ref + Day_of_Week +
## build_phase + : calling glmer() with family=gaussian (identity link) as a
## shortcut to lmer() is deprecated; please call lmer() directly
summary(fitgl)
## Linear mixed model fit by REML ['lmerMod']
## Formula: CPG_Uptime ~ vehicle_family_ref + Day_of_Week + build_phase +  
##     priority_category_cd + (1 | Month)
##    Data: CPGUptimeData
## 
## REML criterion at convergence: 156.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.0763 -0.4360  0.2236  0.6094  3.2579 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Month    (Intercept) 0.001135 0.03369 
##  Residual             0.058147 0.24114 
## Number of obs: 1616, groups:  Month, 8
## 
## Fixed effects:
##                            Estimate Std. Error t value
## (Intercept)                0.348327   0.091933   3.789
## vehicle_family_refBU       0.232622   0.073809   3.152
## vehicle_family_refDJ       0.430251   0.093114   4.621
## vehicle_family_refDP       0.787322   0.113364   6.945
## vehicle_family_refDS       0.611674   0.132651   4.611
## vehicle_family_refDT       0.434854   0.080464   5.404
## vehicle_family_refJK       0.589925   0.078062   7.557
## vehicle_family_refJL       0.427366   0.074110   5.767
## vehicle_family_refK4       0.386302   0.087181   4.431
## vehicle_family_refK8       0.328160   0.082525   3.976
## vehicle_family_refKL       0.494339   0.066716   7.410
## vehicle_family_refLA       0.378555   0.079176   4.781
## vehicle_family_refLX       0.529040   0.078865   6.708
## vehicle_family_refM1       0.428136   0.068441   6.256
## vehicle_family_refM4       0.506570   0.072665   6.971
## vehicle_family_refM6       0.250239   0.076385   3.276
## vehicle_family_refMP       0.370941   0.067823   5.469
## vehicle_family_refRU       0.546480   0.075810   7.209
## vehicle_family_refRU-PHEV  0.481533   0.065967   7.300
## vehicle_family_refUF      -0.436071   0.249771  -1.746
## vehicle_family_refVM       0.364778   0.080349   4.540
## vehicle_family_refWD       0.476274   0.074736   6.373
## vehicle_family_refWD-SRT  -0.138763   0.087839  -1.580
## vehicle_family_refWK       0.518939   0.072878   7.121
## Day_of_WeekMon            -0.015307   0.022273  -0.687
## Day_of_WeekSat            -0.025525   0.022703  -1.124
## Day_of_WeekSun            -0.043459   0.022734  -1.912
## Day_of_WeekThu            -0.012577   0.022181  -0.567
## Day_of_WeekTue            -0.039284   0.022198  -1.770
## Day_of_WeekWed            -0.030328   0.022166  -1.368
## build_phaseComp Veh        0.006776   0.103966   0.065
## build_phaseJ1              0.050578   0.067043   0.754
## build_phaseMule           -0.178961   0.065629  -2.727
## build_phaseMule 2          0.048739   0.090719   0.537
## build_phaseProto          -0.177752   0.066728  -2.664
## build_phasePS              0.125567   0.064076   1.960
## build_phaseV2             -0.113999   0.117925  -0.967
## build_phaseVP              0.001277   0.060774   0.021
## build_phaseVP(B)          -0.167117   0.083503  -2.001
## priority_category_cdP70    0.015445   0.016783   0.920
## priority_category_cdP85    0.020044   0.030958   0.647
## 
## Correlation matrix not shown by default, as p = 41 > 12.
## Use print(x, correlation=TRUE)  or
##   vcov(x)     if you need it
fitgm=lme4::glmer(CPG_Uptime~vehicle_family_ref*build_phase+priority_category_cd+Day_of_Week+(1|Month)   ,CPGUptimeData)
## Warning in lme4::glmer(CPG_Uptime ~ vehicle_family_ref * build_phase +
## priority_category_cd + : calling glmer() with family=gaussian (identity
## link) as a shortcut to lmer() is deprecated; please call lmer() directly
## fixed-effect model matrix is rank deficient so dropping 194 columns / coefficients
summary(fitgm)
## Linear mixed model fit by REML ['lmerMod']
## Formula: 
## CPG_Uptime ~ vehicle_family_ref * build_phase + priority_category_cd +  
##     Day_of_Week + (1 | Month)
##    Data: CPGUptimeData
## 
## REML criterion at convergence: 83.6
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.0819 -0.4294  0.1989  0.6049  2.8839 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Month    (Intercept) 0.001121 0.03348 
##  Residual             0.054586 0.23364 
## Number of obs: 1616, groups:  Month, 8
## 
## Fixed effects:
##                                              Estimate Std. Error t value
## (Intercept)                                   0.07630    0.13002   0.587
## vehicle_family_refBU                          0.77478    0.12973   5.972
## vehicle_family_refDJ                          0.71486    0.09811   7.286
## vehicle_family_refDP                          1.15844    0.17849   6.490
## vehicle_family_refDS                          0.87912    0.15842   5.549
## vehicle_family_refDT                          0.77966    0.16171   4.821
## vehicle_family_refJK                          0.87029    0.08537  10.194
## vehicle_family_refJL                          0.79571    0.15749   5.052
## vehicle_family_refK4                          0.67255    0.11245   5.981
## vehicle_family_refK8                          0.68797    0.16191   4.249
## vehicle_family_refKL                          0.76536    0.07824   9.783
## vehicle_family_refLA                          0.66533    0.08594   7.742
## vehicle_family_refLX                          0.66634    0.15842   4.206
## vehicle_family_refM1                          0.71815    0.07894   9.098
## vehicle_family_refM4                          0.79108    0.08029   9.853
## vehicle_family_refM6                          0.53114    0.08418   6.310
## vehicle_family_refMP                          0.64488    0.07759   8.311
## vehicle_family_refRU                          0.82964    0.08324   9.967
## vehicle_family_refRU-PHEV                     0.72878    0.07185  10.144
## vehicle_family_refUF                         -0.27134    0.24313  -1.116
## vehicle_family_refVM                          0.91293    0.12173   7.500
## vehicle_family_refWD                          0.76043    0.08299   9.162
## vehicle_family_refWD-SRT                      0.51284    0.11624   4.412
## vehicle_family_refWK                          0.80392    0.08409   9.560
## build_phaseComp Veh                           0.90535    0.17292   5.236
## build_phaseJ1                                 0.14870    0.11049   1.346
## build_phaseMule                              -0.17997    0.11066  -1.626
## build_phaseMule 2                            -0.04666    0.11003  -0.424
## build_phaseProto                             -0.26251    0.09280  -2.829
## build_phasePS                                 0.11288    0.12189   0.926
## build_phaseV2                                 0.01667    0.13489   0.124
## build_phaseVP                                -0.00936    0.10308  -0.091
## build_phaseVP(B)                             -0.26499    0.10417  -2.544
## priority_category_cdP70                       0.01427    0.01687   0.846
## priority_category_cdP85                       0.02147    0.03072   0.699
## Day_of_WeekMon                               -0.01751    0.02159  -0.811
## Day_of_WeekSat                               -0.02085    0.02201  -0.947
## Day_of_WeekSun                               -0.04124    0.02204  -1.872
## Day_of_WeekThu                               -0.01534    0.02150  -0.714
## Day_of_WeekTue                               -0.04075    0.02152  -1.893
## Day_of_WeekWed                               -0.03120    0.02148  -1.452
## vehicle_family_refWD-SRT:build_phaseComp Veh -1.38844    0.17250  -8.049
## vehicle_family_refBU:build_phaseJ1           -0.60155    0.12663  -4.750
## vehicle_family_refKL:build_phaseJ1           -0.01961    0.06527  -0.300
## vehicle_family_refDT:build_phaseMule          0.08615    0.17237   0.500
## vehicle_family_refJL:build_phaseMule         -0.11255    0.14874  -0.757
## vehicle_family_refBU:build_phasePS           -0.11505    0.13657  -0.842
## vehicle_family_refKL:build_phasePS           -0.01090    0.08869  -0.123
## vehicle_family_refM1:build_phasePS           -0.01935    0.07698  -0.251
## vehicle_family_refMP:build_phasePS            0.04680    0.07911   0.592
## vehicle_family_refRU-PHEV:build_phasePS       0.02727    0.07336   0.372
## vehicle_family_refVM:build_phasePS           -0.33081    0.12584  -2.629
## vehicle_family_refJL:build_phaseVP           -0.11882    0.14337  -0.829
## vehicle_family_refLX:build_phaseVP            0.17963    0.14710   1.221
## 
## Correlation matrix not shown by default, as p = 54 > 12.
## Use print(x, correlation=TRUE)  or
##   vcov(x)     if you need it
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 194 columns / coefficients
#==================================================================
# Bayesian  Mixed Effects Model with blme
#==================================================================



(blmer1 = blmer(CPG_Uptime~vehicle_family_ref+Day_of_Week+build_phase+priority_category_cd+(1|Month), data = CPGUptimeData,cov.prior=gamma))
## Cov prior  : Month ~ gamma(shape = 2.5, rate = 0, posterior.scale = sd, common.scale = TRUE)
## Prior dev  : 5.337
## 
## Linear mixed model fit by REML ['blmerMod']
## Formula: CPG_Uptime ~ vehicle_family_ref + Day_of_Week + build_phase +  
##     priority_category_cd + (1 | Month)
##    Data: CPGUptimeData
## REML criterion at convergence: 156.9778
## Random effects:
##  Groups   Name        Std.Dev.
##  Month    (Intercept) 0.04068 
##  Residual             0.24100 
## Number of obs: 1616, groups:  Month, 8
## Fixed Effects:
##               (Intercept)       vehicle_family_refBU  
##                  0.345674                   0.234590  
##      vehicle_family_refDJ       vehicle_family_refDP  
##                  0.430975                   0.787616  
##      vehicle_family_refDS       vehicle_family_refDT  
##                  0.609841                   0.437114  
##      vehicle_family_refJK       vehicle_family_refJL  
##                  0.591969                   0.429096  
##      vehicle_family_refK4       vehicle_family_refK8  
##                  0.384532                   0.328926  
##      vehicle_family_refKL       vehicle_family_refLA  
##                  0.495418                   0.377805  
##      vehicle_family_refLX       vehicle_family_refM1  
##                  0.527899                   0.428485  
##      vehicle_family_refM4       vehicle_family_refM6  
##                  0.506099                   0.253079  
##      vehicle_family_refMP       vehicle_family_refRU  
##                  0.370737                   0.546849  
## vehicle_family_refRU-PHEV       vehicle_family_refUF  
##                  0.483380                  -0.439965  
##      vehicle_family_refVM       vehicle_family_refWD  
##                  0.365857                   0.476169  
##  vehicle_family_refWD-SRT       vehicle_family_refWK  
##                 -0.139762                   0.520018  
##            Day_of_WeekMon             Day_of_WeekSat  
##                 -0.015302                  -0.025509  
##            Day_of_WeekSun             Day_of_WeekThu  
##                 -0.043465                  -0.012567  
##            Day_of_WeekTue             Day_of_WeekWed  
##                 -0.039284                  -0.030363  
##       build_phaseComp Veh              build_phaseJ1  
##                  0.009230                   0.052628  
##           build_phaseMule          build_phaseMule 2  
##                 -0.178202                   0.049567  
##          build_phaseProto              build_phasePS  
##                 -0.176877                   0.127232  
##             build_phaseV2              build_phaseVP  
##                 -0.114686                   0.002641  
##          build_phaseVP(B)    priority_category_cdP70  
##                 -0.163736                   0.015903  
##   priority_category_cdP85  
##                  0.020826
summary(blmer1)
## Cov prior  : Month ~ gamma(shape = 2.5, rate = 0, posterior.scale = sd, common.scale = TRUE)
## Prior dev  : 5.337
## 
## Linear mixed model fit by REML ['blmerMod']
## Formula: CPG_Uptime ~ vehicle_family_ref + Day_of_Week + build_phase +  
##     priority_category_cd + (1 | Month)
##    Data: CPGUptimeData
## 
## REML criterion at convergence: 157
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.0922 -0.4393  0.2208  0.6099  3.2594 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Month    (Intercept) 0.001655 0.04068 
##  Residual             0.058079 0.24100 
## Number of obs: 1616, groups:  Month, 8
## 
## Fixed effects:
##                            Estimate Std. Error t value
## (Intercept)                0.345674   0.092307   3.745
## vehicle_family_refBU       0.234590   0.073869   3.176
## vehicle_family_refDJ       0.430975   0.093067   4.631
## vehicle_family_refDP       0.787616   0.113385   6.946
## vehicle_family_refDS       0.609841   0.132628   4.598
## vehicle_family_refDT       0.437114   0.080571   5.425
## vehicle_family_refJK       0.591969   0.078138   7.576
## vehicle_family_refJL       0.429096   0.074152   5.787
## vehicle_family_refK4       0.384532   0.087253   4.407
## vehicle_family_refK8       0.328926   0.082526   3.986
## vehicle_family_refKL       0.495418   0.066772   7.420
## vehicle_family_refLA       0.377805   0.079181   4.771
## vehicle_family_refLX       0.527899   0.078882   6.692
## vehicle_family_refM1       0.428485   0.068495   6.256
## vehicle_family_refM4       0.506099   0.072637   6.967
## vehicle_family_refM6       0.253079   0.076473   3.309
## vehicle_family_refMP       0.370737   0.067813   5.467
## vehicle_family_refRU       0.546849   0.075862   7.208
## vehicle_family_refRU-PHEV  0.483380   0.066019   7.322
## vehicle_family_refUF      -0.439965   0.249696  -1.762
## vehicle_family_refVM       0.365857   0.080431   4.549
## vehicle_family_refWD       0.476169   0.074783   6.367
## vehicle_family_refWD-SRT  -0.139762   0.087866  -1.591
## vehicle_family_refWK       0.520018   0.072952   7.128
## Day_of_WeekMon            -0.015302   0.022260  -0.687
## Day_of_WeekSat            -0.025509   0.022690  -1.124
## Day_of_WeekSun            -0.043465   0.022721  -1.913
## Day_of_WeekThu            -0.012567   0.022169  -0.567
## Day_of_WeekTue            -0.039284   0.022186  -1.771
## Day_of_WeekWed            -0.030363   0.022153  -1.371
## build_phaseComp Veh        0.009230   0.103971   0.089
## build_phaseJ1              0.052628   0.067081   0.785
## build_phaseMule           -0.178202   0.065670  -2.714
## build_phaseMule 2          0.049567   0.090811   0.546
## build_phaseProto          -0.176877   0.066752  -2.650
## build_phasePS              0.127232   0.064118   1.984
## build_phaseV2             -0.114686   0.117864  -0.973
## build_phaseVP              0.002641   0.060802   0.043
## build_phaseVP(B)          -0.163736   0.083510  -1.961
## priority_category_cdP70    0.015903   0.016779   0.948
## priority_category_cdP85    0.020826   0.030949   0.673
## 
## Correlation matrix not shown by default, as p = 41 > 12.
## Use print(x, correlation=TRUE)  or
##   vcov(x)     if you need it
#DT::datatable(cbind(coef(summary(blmer1)),Pvalue=2*pnorm(tidy(blmer1)[4]$statistic, lower.tail = FALSE)))

broom::augment(blmer1)%>%knitr::kable()
CPG_Uptime vehicle_family_ref Day_of_Week build_phase priority_category_cd Month .fitted .resid .fixed .mu .offset .sqrtXwt .sqrtrwt .weights .wtres
0.8333333 RU-PHEV Sun J1 P100 Jan 0.8400398 -0.0067065 0.8382157 0.8400398 0 1 1 1 -0.0067065
1.0000000 RU-PHEV Mon J1 P100 Jan 0.8682036 0.1317964 0.8663795 0.8682036 0 1 1 1 0.1317964
0.6511628 RU-PHEV Tue J1 P100 Jan 0.8442210 -0.1930582 0.8423969 0.8442210 0 1 1 1 -0.1930582
0.3333333 RU-PHEV Wed J1 P100 Jan 0.8531419 -0.5198085 0.8513177 0.8531419 0 1 1 1 -0.5198085
1.0000000 RU-PHEV Thu J1 P100 Jan 0.8709382 0.1290618 0.8691140 0.8709382 0 1 1 1 0.1290618
1.0000000 RU-PHEV Fri J1 P100 Jan 0.8835053 0.1164947 0.8816811 0.8835053 0 1 1 1 0.1164947
1.0000000 RU-PHEV Sat J1 P100 Jan 0.8579964 0.1420036 0.8561723 0.8579964 0 1 1 1 0.1420036
1.0000000 JL Sun Mule 2 P100 Jan 0.7826961 0.2173039 0.7808719 0.7826961 0 1 1 1 0.2173039
0.6901408 JL Mon Mule 2 P100 Jan 0.8108598 -0.1207190 0.8090357 0.8108598 0 1 1 1 -0.1207190
0.8400000 JL Tue Mule 2 P100 Jan 0.7868772 0.0531228 0.7850531 0.7868772 0 1 1 1 0.0531228
0.9145299 JL Wed Mule 2 P100 Jan 0.7957981 0.1187318 0.7939740 0.7957981 0 1 1 1 0.1187318
0.9166667 JL Thu Mule 2 P100 Jan 0.8135944 0.1030722 0.8117703 0.8135944 0 1 1 1 0.1030722
1.0000000 JL Fri Mule 2 P100 Jan 0.8261615 0.1738385 0.8243374 0.8261615 0 1 1 1 0.1738385
0.9761905 JL Sat Mule 2 P100 Jan 0.8006527 0.1755378 0.7988285 0.8006527 0 1 1 1 0.1755378
0.5870445 JL Sun Proto P100 Jan 0.5562519 0.0307926 0.5544278 0.5562519 0 1 1 1 0.0307926
0.4277344 JL Mon Proto P100 Jan 0.5844157 -0.1566813 0.5825916 0.5844157 0 1 1 1 -0.1566813
0.5013587 JL Tue Proto P100 Jan 0.5604331 -0.0590744 0.5586090 0.5604331 0 1 1 1 -0.0590744
0.4802867 JL Wed Proto P100 Jan 0.5693540 -0.0890672 0.5675298 0.5693540 0 1 1 1 -0.0890672
0.6619337 JL Thu Proto P100 Jan 0.5871503 0.0747835 0.5853261 0.5871503 0 1 1 1 0.0747835
0.6557971 JL Fri Proto P100 Jan 0.5997174 0.0560797 0.5978932 0.5997174 0 1 1 1 0.0560797
0.5704225 JL Sat Proto P100 Jan 0.5742085 -0.0037860 0.5723844 0.5742085 0 1 1 1 -0.0037860
1.0000000 MP Sun PS P100 Jan 0.8020021 0.1979979 0.8001780 0.8020021 0 1 1 1 0.1979979
1.0000000 RU-PHEV Sun PS P100 Jan 0.9146446 0.0853554 0.9128204 0.9146446 0 1 1 1 0.0853554
1.0000000 RU-PHEV Mon PS P100 Jan 0.9428084 0.0571916 0.9409842 0.9428084 0 1 1 1 0.0571916
0.8048780 RU-PHEV Tue PS P100 Jan 0.9188257 -0.1139477 0.9170016 0.9188257 0 1 1 1 -0.1139477
0.8947368 RU-PHEV Wed PS P100 Jan 0.9277466 -0.0330098 0.9259225 0.9277466 0 1 1 1 -0.0330098
0.8055556 RU-PHEV Thu PS P100 Jan 0.9455429 -0.1399874 0.9437188 0.9455429 0 1 1 1 -0.1399874
1.0000000 MP Fri PS P100 Jan 0.8454676 0.1545324 0.8436434 0.8454676 0 1 1 1 0.1545324
0.8430233 RU-PHEV Fri PS P100 Jan 0.9581100 -0.1150868 0.9562859 0.9581100 0 1 1 1 -0.1150868
1.0000000 MP Sat PS P100 Jan 0.8199587 0.1800413 0.8181346 0.8199587 0 1 1 1 0.1800413
1.0000000 RU-PHEV Sat PS P100 Jan 0.9326012 0.0673988 0.9307770 0.9326012 0 1 1 1 0.0673988
0.5951860 MP Sun VP P100 Jan 0.6774103 -0.0822243 0.6755861 0.6774103 0 1 1 1 -0.0822243
0.6595745 MP Mon VP P100 Jan 0.7055740 -0.0459996 0.7037499 0.7055740 0 1 1 1 -0.0459996
0.6466877 MP Tue VP P100 Jan 0.6815914 -0.0349037 0.6797673 0.6815914 0 1 1 1 -0.0349037
0.8115942 MP Wed VP P100 Jan 0.6905123 0.1210819 0.6886882 0.6905123 0 1 1 1 0.1210819
0.8439716 MP Thu VP P100 Jan 0.7083086 0.1356630 0.7064845 0.7083086 0 1 1 1 0.1356630
0.7838050 MP Fri VP P100 Jan 0.7208757 0.0629293 0.7190516 0.7208757 0 1 1 1 0.0629293
0.6799674 MP Sat VP P100 Jan 0.6953668 -0.0153994 0.6935427 0.6953668 0 1 1 1 -0.0153994
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0.3286713 WD-SRT Mon Comp Veh P70 Feb 0.2118206 0.1168507 0.2157432 0.2118206 0 1 1 1 0.1168507
0.1666667 WD-SRT Tue Comp Veh P70 Feb 0.1878380 -0.0211713 0.1917606 0.1878380 0 1 1 1 -0.0211713
0.0000000 WD-SRT Wed Comp Veh P70 Feb 0.1967588 -0.1967588 0.2006815 0.1967588 0 1 1 1 -0.1967588
0.3636364 WD-SRT Thu Comp Veh P70 Feb 0.2145552 0.1490812 0.2184778 0.2145552 0 1 1 1 0.1490812
0.1739130 WD-SRT Fri Comp Veh P70 Feb 0.2271223 -0.0532092 0.2310449 0.2271223 0 1 1 1 -0.0532092
0.0000000 WD-SRT Sat Comp Veh P70 Feb 0.2016134 -0.2016134 0.2055360 0.2016134 0 1 1 1 -0.2016134
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1.0000000 KL Sun Mule P70 Feb 0.6314048 0.3685952 0.6353274 0.6314048 0 1 1 1 0.3685952
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0.8414634 JL Thu Mule P70 Feb 0.5959813 0.2454821 0.5999039 0.5959813 0 1 1 1 0.2454821
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0.5294118 K8 Mon Proto P70 Feb 0.4944018 0.0350100 0.4983244 0.4944018 0 1 1 1 0.0350100
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0.0000000 WD-SRT Tue Comp Veh P70 Mar 0.2210813 -0.2210813 0.1917606 0.2210813 0 1 1 1 -0.2210813
0.3000000 WD-SRT Wed Comp Veh P70 Mar 0.2300021 0.0699979 0.2006815 0.2300021 0 1 1 1 0.0699979
0.3333333 WD-SRT Thu Comp Veh P70 Mar 0.2477984 0.0855349 0.2184778 0.2477984 0 1 1 1 0.0855349
0.0000000 WD-SRT Fri Comp Veh P70 Mar 0.2603655 -0.2603655 0.2310449 0.2603655 0 1 1 1 -0.2603655
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0.4750000 JL Thu Mule P70 Mar 0.6292245 -0.1542245 0.5999039 0.6292245 0 1 1 1 -0.1542245
1.0000000 JL Fri Mule P70 Mar 0.6417916 0.3582084 0.6124710 0.6417916 0 1 1 1 0.3582084
0.8055556 JL Sat Mule P70 Mar 0.6162828 0.1892728 0.5869621 0.6162828 0 1 1 1 0.1892728
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1.0000000 M1 Mon VP P100 Apr 0.8127668 0.1872332 0.7614972 0.8127668 0 1 1 1 0.1872332
0.8333333 M1 Tue VP P100 Apr 0.7887842 0.0445492 0.7375146 0.7887842 0 1 1 1 0.0445492
1.0000000 M1 Wed VP P100 Apr 0.7977050 0.2022950 0.7464355 0.7977050 0 1 1 1 0.2022950
0.6992481 M1 Thu VP P100 Apr 0.8155014 -0.1162532 0.7642318 0.8155014 0 1 1 1 -0.1162532
1.0000000 M1 Fri VP P100 Apr 0.8280685 0.1719315 0.7767989 0.8280685 0 1 1 1 0.1719315
1.0000000 RU Fri VP P100 Apr 0.9464325 0.0535675 0.8951629 0.9464325 0 1 1 1 0.0535675
0.9017857 M1 Sat VP P100 Apr 0.8025596 0.0992261 0.7512900 0.8025596 0 1 1 1 0.0992261
0.8000000 RU Sat VP P100 Apr 0.9209236 -0.1209236 0.8696541 0.9209236 0 1 1 1 -0.1209236
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1.0000000 M1 Mon PS P70 Apr 0.9532619 0.0467381 0.9019923 0.9532619 0 1 1 1 0.0467381
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1.0000000 M1 Wed PS P70 Apr 0.9382001 0.0617999 0.8869305 0.9382001 0 1 1 1 0.0617999
0.7727273 MP Wed PS P70 Apr 0.8804528 -0.1077255 0.8291832 0.8804528 0 1 1 1 -0.1077255
1.0000000 M1 Thu PS P70 Apr 0.9559964 0.0440036 0.9047269 0.9559964 0 1 1 1 0.0440036
1.0000000 MP Thu PS P70 Apr 0.8982491 0.1017509 0.8469795 0.8982491 0 1 1 1 0.1017509
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1.0000000 M1 Sat PS P70 Apr 0.9430547 0.0569453 0.8917851 0.9430547 0 1 1 1 0.0569453
0.9412844 MP Sat PS P70 Apr 0.8853074 0.0559770 0.8340378 0.8853074 0 1 1 1 0.0559770
1.0000000 KL Sun VP P70 Apr 0.8674398 0.1325602 0.8161702 0.8674398 0 1 1 1 0.1325602
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1.0000000 LX Sun VP P70 Apr 0.8999208 0.1000792 0.8486513 0.8999208 0 1 1 1 0.1000792
1.0000000 M1 Sun VP P70 Apr 0.8005062 0.1994938 0.7492366 0.8005062 0 1 1 1 0.1994938
1.0000000 M4 Sun VP P70 Apr 0.8781203 0.1218797 0.8268507 0.8781203 0 1 1 1 0.1218797
1.0000000 MP Sun VP P70 Apr 0.7427589 0.2572411 0.6914893 0.7427589 0 1 1 1 0.2572411
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1.0000000 M1 Mon VP P70 Apr 0.8286700 0.1713300 0.7774004 0.8286700 0 1 1 1 0.1713300
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0.7466667 LX Tue VP P70 Apr 0.9041020 -0.1574353 0.8528324 0.9041020 0 1 1 1 -0.1574353
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1.0000000 MP Tue VP P70 Apr 0.7469401 0.2530599 0.6956705 0.7469401 0 1 1 1 0.2530599
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0.7272727 M1 Thu VP P70 Apr 0.8314046 -0.1041318 0.7801350 0.8314046 0 1 1 1 -0.1041318
1.0000000 M4 Thu VP P70 Apr 0.9090186 0.0909814 0.8577491 0.9090186 0 1 1 1 0.0909814
1.0000000 MP Thu VP P70 Apr 0.7736573 0.2263427 0.7223877 0.7736573 0 1 1 1 0.2263427
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1.0000000 RU-PHEV Thu VP P70 Apr 0.8862997 0.1137003 0.8350302 0.8862997 0 1 1 1 0.1137003
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1.0000000 LX Fri VP P70 Apr 0.9433863 0.0566137 0.8921167 0.9433863 0 1 1 1 0.0566137
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1.0000000 KL Sat VP P70 Apr 0.8853964 0.1146036 0.8341268 0.8853964 0 1 1 1 0.1146036
0.9148936 LA Sat VP P70 Apr 0.7677832 0.1471104 0.7165136 0.7677832 0 1 1 1 0.1471104
1.0000000 LX Sat VP P70 Apr 0.9178774 0.0821226 0.8666078 0.9178774 0 1 1 1 0.0821226
1.0000000 M1 Sat VP P70 Apr 0.8184628 0.1815372 0.7671932 0.8184628 0 1 1 1 0.1815372
1.0000000 M4 Sat VP P70 Apr 0.8960769 0.1039231 0.8448073 0.8960769 0 1 1 1 0.1039231
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0.6756152 RU-PHEV Sat VP P70 Apr 0.8733580 -0.1977428 0.8220884 0.8733580 0 1 1 1 -0.1977428
1.0000000 WD Sat VP P70 Apr 0.8661467 0.1338533 0.8148772 0.8661467 0 1 1 1 0.1338533
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1.0000000 MP Tue VP P100 Apr 0.7310369 0.2689631 0.6797673 0.7310369 0 1 1 1 0.2689631
0.8933333 RU-PHEV Tue VP P100 Apr 0.8436793 0.0496540 0.7924098 0.8436793 0 1 1 1 0.0496540
1.0000000 MP Wed VP P100 Apr 0.7399577 0.2600423 0.6886882 0.7399577 0 1 1 1 0.2600423
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1.0000000 MP Thu VP P100 Apr 0.7577541 0.2422459 0.7064845 0.7577541 0 1 1 1 0.2422459
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1.0000000 MP Fri VP P100 Apr 0.7703212 0.2296788 0.7190516 0.7703212 0 1 1 1 0.2296788
0.8518519 RU-PHEV Fri VP P100 Apr 0.8829636 -0.0311118 0.8316940 0.8829636 0 1 1 1 -0.0311118
0.8888889 MP Sat VP P100 Apr 0.7448123 0.1440766 0.6935427 0.7448123 0 1 1 1 0.1440766
0.8156342 RU-PHEV Sat VP P100 Apr 0.8574548 -0.0418205 0.8061852 0.8574548 0 1 1 1 -0.0418205
1.0000000 DS Sun Buyback P70 Apr 0.9792224 0.0207776 0.9279529 0.9792224 0 1 1 1 0.0207776
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1.0000000 DS Tue Buyback P70 Apr 0.9834036 0.0165964 0.9321340 0.9834036 0 1 1 1 0.0165964
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1.0000000 WD Thu Buyback P70 Apr 0.8764479 0.1235521 0.8251783 0.8764479 0 1 1 1 0.1235521
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1.0000000 DS Sat Buyback P70 Apr 0.9971790 0.0028210 0.9459095 0.9971790 0 1 1 1 0.0028210
1.0000000 LX Sat Buyback P70 Apr 0.9152368 0.0847632 0.8639673 0.9152368 0 1 1 1 0.0847632
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1.0000000 K4 Mon PS P70 Apr 0.9093096 0.0906904 0.8580401 0.9093096 0 1 1 1 0.0906904
0.8823529 K4 Tue PS P70 Apr 0.8853270 -0.0029741 0.8340575 0.8853270 0 1 1 1 -0.0029741
0.8441558 K4 Wed PS P70 Apr 0.8942479 -0.0500921 0.8429783 0.8942479 0 1 1 1 -0.0500921
0.9864865 K4 Thu PS P70 Apr 0.9120442 0.0744423 0.8607746 0.9120442 0 1 1 1 0.0744423
0.5937500 K4 Fri PS P70 Apr 0.9246113 -0.3308613 0.8733417 0.9246113 0 1 1 1 -0.3308613
0.9215686 K4 Sat PS P70 Apr 0.8991025 0.0224662 0.8478329 0.8991025 0 1 1 1 0.0224662
0.5000000 LX Mon V2 P70 Apr 0.8107581 -0.3107581 0.7594885 0.8107581 0 1 1 1 -0.3107581
0.3333333 LX Tue V2 P70 Apr 0.7867755 -0.4534422 0.7355059 0.7867755 0 1 1 1 -0.4534422
1.0000000 LX Wed V2 P70 Apr 0.7956964 0.2043036 0.7444268 0.7956964 0 1 1 1 0.2043036
1.0000000 LX Thu V2 P70 Apr 0.8134927 0.1865073 0.7622231 0.8134927 0 1 1 1 0.1865073
1.0000000 LX Fri V2 P70 Apr 0.8260598 0.1739402 0.7747902 0.8260598 0 1 1 1 0.1739402
1.0000000 LX Sat V2 P70 Apr 0.8005509 0.1994491 0.7492813 0.8005509 0 1 1 1 0.1994491
1.0000000 M1 Sun VP P70 Apr 0.8005062 0.1994938 0.7492366 0.8005062 0 1 1 1 0.1994938
0.7530864 MP Sun VP P70 Apr 0.7427589 0.0103275 0.6914893 0.7427589 0 1 1 1 0.0103275
1.0000000 KL Mon VP P70 Apr 0.8956036 0.1043964 0.8443340 0.8956036 0 1 1 1 0.1043964
0.7500000 M1 Mon VP P70 Apr 0.8286700 -0.0786700 0.7774004 0.8286700 0 1 1 1 -0.0786700
1.0000000 M4 Mon VP P70 Apr 0.9062841 0.0937159 0.8550145 0.9062841 0 1 1 1 0.0937159
0.9106145 MP Mon VP P70 Apr 0.7709227 0.1396918 0.7196531 0.7709227 0 1 1 1 0.1396918
0.7500000 KL Tue VP P70 Apr 0.8716210 -0.1216210 0.8203514 0.8716210 0 1 1 1 -0.1216210
0.7692308 M1 Tue VP P70 Apr 0.8046874 -0.0354566 0.7534178 0.8046874 0 1 1 1 -0.0354566
0.8571429 M4 Tue VP P70 Apr 0.8823014 -0.0251586 0.8310319 0.8823014 0 1 1 1 -0.0251586
0.7241379 MP Tue VP P70 Apr 0.7469401 -0.0228021 0.6956705 0.7469401 0 1 1 1 -0.0228021
1.0000000 KL Wed VP P70 Apr 0.8805418 0.1194582 0.8292723 0.8805418 0 1 1 1 0.1194582
0.9719626 M1 Wed VP P70 Apr 0.8136083 0.1583544 0.7623387 0.8136083 0 1 1 1 0.1583544
1.0000000 M4 Wed VP P70 Apr 0.8912223 0.1087777 0.8399527 0.8912223 0 1 1 1 0.1087777
0.9298246 MP Wed VP P70 Apr 0.7558609 0.1739636 0.7045914 0.7558609 0 1 1 1 0.1739636
0.7669903 KL Thu VP P70 Apr 0.8983382 -0.1313479 0.8470686 0.8983382 0 1 1 1 -0.1313479
0.9600000 M1 Thu VP P70 Apr 0.8314046 0.1285954 0.7801350 0.8314046 0 1 1 1 0.1285954
1.0000000 M4 Thu VP P70 Apr 0.9090186 0.0909814 0.8577491 0.9090186 0 1 1 1 0.0909814
1.0000000 MP Thu VP P70 Apr 0.7736573 0.2263427 0.7223877 0.7736573 0 1 1 1 0.2263427
0.8805970 KL Fri VP P70 Apr 0.9109053 -0.0303082 0.8596357 0.9109053 0 1 1 1 -0.0303082
0.7260274 M1 Fri VP P70 Apr 0.8439717 -0.1179443 0.7927021 0.8439717 0 1 1 1 -0.1179443
0.3333333 M4 Fri VP P70 Apr 0.9215857 -0.5882524 0.8703161 0.9215857 0 1 1 1 -0.5882524
0.8507463 MP Fri VP P70 Apr 0.7862244 0.0645219 0.7349548 0.7862244 0 1 1 1 0.0645219
1.0000000 KL Sat VP P70 Apr 0.8853964 0.1146036 0.8341268 0.8853964 0 1 1 1 0.1146036
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1.0000000 M1 Thu VP P70 May 0.7927255 0.2072745 0.7801350 0.7927255 0 1 1 1 0.2072745
0.8000000 M6 Thu VP P70 May 0.6173203 0.1826797 0.6047297 0.6173203 0 1 1 1 0.1826797
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0.8181818 M1 Fri VP P70 May 0.8052926 0.0128892 0.7927021 0.8052926 0 1 1 1 0.0128892
1.0000000 M6 Fri VP P70 May 0.6298874 0.3701126 0.6172968 0.6298874 0 1 1 1 0.3701126
0.7361963 MP Fri VP P70 May 0.7475453 -0.0113490 0.7349548 0.7475453 0 1 1 1 -0.0113490
1.0000000 KL Sat VP P70 May 0.8467173 0.1532827 0.8341268 0.8467173 0 1 1 1 0.1532827
0.0000000 M1 Sat VP P70 May 0.7797838 -0.7797838 0.7671932 0.7797838 0 1 1 1 -0.7797838
0.7500000 MP Sat VP P70 May 0.7220365 0.0279635 0.7094459 0.7220365 0 1 1 1 0.0279635
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1.0000000 RU-PHEV Mon PS P100 May 0.9535747 0.0464253 0.9409842 0.9535747 0 1 1 1 0.0464253
1.0000000 RU-PHEV Tue PS P100 May 0.9295921 0.0704079 0.9170016 0.9295921 0 1 1 1 0.0704079
1.0000000 RU-PHEV Wed PS P100 May 0.9385130 0.0614870 0.9259225 0.9385130 0 1 1 1 0.0614870
1.0000000 RU-PHEV Fri PS P100 May 0.9688764 0.0311236 0.9562859 0.9688764 0 1 1 1 0.0311236
1.0000000 RU-PHEV Sat PS P100 May 0.9433676 0.0566324 0.9307770 0.9433676 0 1 1 1 0.0566324
1.0000000 JL Sun Buyback P100 Jun 0.7179781 0.2820219 0.7313046 0.7179781 0 1 1 1 0.2820219
1.0000000 JL Mon Buyback P100 Jun 0.7461419 0.2538581 0.7594684 0.7461419 0 1 1 1 0.2538581
0.7236842 JL Tue Buyback P100 Jun 0.7221593 0.0015249 0.7354858 0.7221593 0 1 1 1 0.0015249
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0.7792553 DT Sat Proto P100 Jun 0.5670752 0.2121801 0.5804017 0.5670752 0 1 1 1 0.2121801
0.3734440 JL Sat Proto P100 Jun 0.5590579 -0.1856139 0.5723844 0.5590579 0 1 1 1 -0.1856139
0.4564460 JL Sun VP P100 Jun 0.7206187 -0.2641727 0.7339452 0.7206187 0 1 1 1 -0.2641727
0.8000000 M1 Sun VP P100 Jun 0.7200069 0.0799931 0.7333334 0.7200069 0 1 1 1 0.0799931
0.2564103 M6 Sun VP P100 Jun 0.5446017 -0.2881914 0.5579282 0.5446017 0 1 1 1 -0.2881914
0.3648649 JL Mon VP P100 Jun 0.7487825 -0.3839176 0.7621089 0.7487825 0 1 1 1 -0.3839176
0.6923077 M1 Mon VP P100 Jun 0.7481707 -0.0558630 0.7614972 0.7481707 0 1 1 1 -0.0558630
0.3875000 M6 Mon VP P100 Jun 0.5727655 -0.1852655 0.5860920 0.5727655 0 1 1 1 -0.1852655
0.5130435 JL Tue VP P100 Jun 0.7247999 -0.2117564 0.7381263 0.7247999 0 1 1 1 -0.2117564
0.7500000 M1 Tue VP P100 Jun 0.7241881 0.0258119 0.7375146 0.7241881 0 1 1 1 0.0258119
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1.0000000 M1 Wed VP P100 Jun 0.7331090 0.2668910 0.7464355 0.7331090 0 1 1 1 0.2668910
0.1891892 M6 Wed VP P100 Jun 0.5577037 -0.3685145 0.5710302 0.5577037 0 1 1 1 -0.3685145
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1.0000000 M1 Thu VP P100 Jun 0.7509053 0.2490947 0.7642318 0.7509053 0 1 1 1 0.2490947
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1.0000000 M1 Fri VP P100 Jun 0.7634724 0.2365276 0.7767989 0.7634724 0 1 1 1 0.2365276
0.4419890 M6 Fri VP P100 Jun 0.5880671 -0.1460782 0.6013936 0.5880671 0 1 1 1 -0.1460782
0.5742972 JL Sat VP P100 Jun 0.7385753 -0.1642781 0.7519018 0.7385753 0 1 1 1 -0.1642781
0.8888889 M1 Sat VP P100 Jun 0.7379635 0.1509253 0.7512900 0.7379635 0 1 1 1 0.1509253
0.6470588 M6 Sat VP P100 Jun 0.5625583 0.0845005 0.5758848 0.5625583 0 1 1 1 0.0845005
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0.0000000 JL Wed VP(B) P100 Jun 0.5673443 -0.5673443 0.5806708 0.5673443 0 1 1 1 -0.5673443
1.0000000 JL Thu VP(B) P100 Jun 0.5851407 0.4148593 0.5984672 0.5851407 0 1 1 1 0.4148593
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0.3287671 BU Mon J1 P70 Jun 0.6201663 -0.2913992 0.6334928 0.6201663 0 1 1 1 -0.2913992
0.1954023 BU Tue J1 P70 Jun 0.5961837 -0.4007814 0.6095102 0.5961837 0 1 1 1 -0.4007814
0.6613757 BU Wed J1 P70 Jun 0.6051045 0.0562711 0.6184310 0.6051045 0 1 1 1 0.0562711
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1.0000000 KL Sun Mule P70 Jun 0.6220009 0.3779991 0.6353274 0.6220009 0 1 1 1 0.3779991
0.7096774 KL Mon Mule P70 Jun 0.6501647 0.0595128 0.6634911 0.6501647 0 1 1 1 0.0595128
0.8313953 KL Tue Mule P70 Jun 0.6261821 0.2052133 0.6395085 0.6261821 0 1 1 1 0.2052133
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0.5250000 KL Thu Mule P70 Jun 0.6528992 -0.1278992 0.6662257 0.6528992 0 1 1 1 -0.1278992
0.6333333 KL Fri Mule P70 Jun 0.6654663 -0.0321330 0.6787928 0.6654663 0 1 1 1 -0.0321330
1.0000000 KL Sat Mule P70 Jun 0.6399575 0.3600425 0.6532840 0.6399575 0 1 1 1 0.3600425
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0.8250000 VM Wed PS P70 Jun 0.8109768 0.0140232 0.8243033 0.8109768 0 1 1 1 0.0140232
1.0000000 WK Wed PS P70 Jun 0.9651371 0.0348629 0.9784636 0.9651371 0 1 1 1 0.0348629
0.8260870 VM Thu PS P70 Jun 0.8287731 -0.0026861 0.8420996 0.8287731 0 1 1 1 -0.0026861
1.0000000 WK Thu PS P70 Jun 0.9829334 0.0170666 0.9962599 0.9829334 0 1 1 1 0.0170666
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0.8000000 WK Fri PS P70 Jun 0.9955005 -0.1955005 1.0088270 0.9955005 0 1 1 1 -0.1955005
0.6000000 VM Sat PS P70 Jun 0.8158313 -0.2158313 0.8291578 0.8158313 0 1 1 1 -0.2158313
1.0000000 WK Sat PS P70 Jun 0.9699917 0.0300083 0.9833182 0.9699917 0 1 1 1 0.0300083
1.0000000 JK Sun VP P70 Jun 0.8993949 0.1006051 0.9127214 0.8993949 0 1 1 1 0.1006051
1.0000000 KL Sun VP P70 Jun 0.8028437 0.1971563 0.8161702 0.8028437 0 1 1 1 0.1971563
1.0000000 M1 Sun VP P70 Jun 0.7359102 0.2640898 0.7492366 0.7359102 0 1 1 1 0.2640898
1.0000000 RU Sun VP P70 Jun 0.8542742 0.1457258 0.8676007 0.8542742 0 1 1 1 0.1457258
1.0000000 RU-PHEV Sun VP P70 Jun 0.7908053 0.2091947 0.8041318 0.7908053 0 1 1 1 0.2091947
1.0000000 WD Sun VP P70 Jun 0.7835941 0.2164059 0.7969206 0.7835941 0 1 1 1 0.2164059
0.9346939 WK Sun VP P70 Jun 0.8274432 0.1072506 0.8407697 0.8274432 0 1 1 1 0.1072506
1.0000000 JK Mon VP P70 Jun 0.9275587 0.0724413 0.9408851 0.9275587 0 1 1 1 0.0724413
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0.7647059 RU-PHEV Mon VP P70 Jun 0.8189691 -0.0542632 0.8322956 0.8189691 0 1 1 1 -0.0542632
0.4358974 WD Mon VP P70 Jun 0.8117579 -0.3758604 0.8250843 0.8117579 0 1 1 1 -0.3758604
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1.0000000 JK Tue VP P70 Jun 0.9035760 0.0964240 0.9169025 0.9035760 0 1 1 1 0.0964240
0.9466667 KL Tue VP P70 Jun 0.8070249 0.1396418 0.8203514 0.8070249 0 1 1 1 0.1396418
0.6666667 M1 Tue VP P70 Jun 0.7400913 -0.0734247 0.7534178 0.7400913 0 1 1 1 -0.0734247
0.9597701 RU Tue VP P70 Jun 0.8584554 0.1013147 0.8717819 0.8584554 0 1 1 1 0.1013147
0.3902439 RU-PHEV Tue VP P70 Jun 0.7949865 -0.4047426 0.8083130 0.7949865 0 1 1 1 -0.4047426
0.5333333 WD Tue VP P70 Jun 0.7877753 -0.2544419 0.8011017 0.7877753 0 1 1 1 -0.2544419
0.9420290 WK Tue VP P70 Jun 0.8316244 0.1104046 0.8449509 0.8316244 0 1 1 1 0.1104046
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1.0000000 KL Wed VP P70 Jun 0.8159458 0.1840542 0.8292723 0.8159458 0 1 1 1 0.1840542
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0.8918919 RU Wed VP P70 Jun 0.8673762 0.0245157 0.8807027 0.8673762 0 1 1 1 0.0245157
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0.7565217 JK Thu VP P70 Jun 0.9302932 -0.1737715 0.9436197 0.9302932 0 1 1 1 -0.1737715
0.8347107 KL Thu VP P70 Jun 0.8337421 0.0009686 0.8470686 0.8337421 0 1 1 1 0.0009686
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0.7974684 JK Fri VP P70 Jun 0.9428603 -0.1453920 0.9561868 0.9428603 0 1 1 1 -0.1453920
0.9629630 KL Fri VP P70 Jun 0.8463092 0.1166538 0.8596357 0.8463092 0 1 1 1 0.1166538
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0.7127072 RU-PHEV Fri VP P70 Jun 0.8342708 -0.1215636 0.8475972 0.8342708 0 1 1 1 -0.1215636
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0.9845679 WK Fri VP P70 Jun 0.8709087 0.1136592 0.8842352 0.8709087 0 1 1 1 0.1136592
1.0000000 JK Sat VP P70 Jun 0.9173515 0.0826485 0.9306780 0.9173515 0 1 1 1 0.0826485
0.5000000 KL Sat VP P70 Jun 0.8208003 -0.3208003 0.8341268 0.8208003 0 1 1 1 -0.3208003
0.8924731 RU Sat VP P70 Jun 0.8722308 0.0202423 0.8855573 0.8722308 0 1 1 1 0.0202423
1.0000000 RU-PHEV Sat VP P70 Jun 0.8087619 0.1912381 0.8220884 0.8087619 0 1 1 1 0.1912381
0.8227848 WD Sat VP P70 Jun 0.8015507 0.0212341 0.8148772 0.8015507 0 1 1 1 0.0212341
1.0000000 WK Sat VP P70 Jun 0.8453998 0.1546002 0.8587263 0.8453998 0 1 1 1 0.1546002
0.5862069 KL Sun Mule P85 Jun 0.6269232 -0.0407163 0.6402497 0.6269232 0 1 1 1 -0.0407163
0.4166667 KL Mon Mule P85 Jun 0.6550870 -0.2384203 0.6684135 0.6550870 0 1 1 1 -0.2384203
0.5131579 KL Tue Mule P85 Jun 0.6311044 -0.1179465 0.6444309 0.6311044 0 1 1 1 -0.1179465
0.6666667 KL Wed Mule P85 Jun 0.6400252 0.0266414 0.6533517 0.6400252 0 1 1 1 0.0266414
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0.4634146 KL Fri Mule P85 Jun 0.6703887 -0.2069740 0.6837151 0.6703887 0 1 1 1 -0.2069740
0.5000000 KL Sat Mule P85 Jun 0.6448798 -0.1448798 0.6582063 0.6448798 0 1 1 1 -0.1448798
1.0000000 DT Sun Proto P85 Jun 0.5699442 0.4300558 0.5832706 0.5699442 0 1 1 1 0.4300558
0.6304348 DT Mon Proto P85 Jun 0.5981079 0.0323269 0.6114344 0.5981079 0 1 1 1 0.0323269
0.6404494 DT Tue Proto P85 Jun 0.5741253 0.0663241 0.5874518 0.5741253 0 1 1 1 0.0663241
0.6458333 DT Wed Proto P85 Jun 0.5830462 0.0627871 0.5963727 0.5830462 0 1 1 1 0.0627871
0.4146341 DT Thu Proto P85 Jun 0.6008425 -0.1862084 0.6141690 0.6008425 0 1 1 1 -0.1862084
0.6486486 DT Fri Proto P85 Jun 0.6134096 0.0352390 0.6267361 0.6134096 0 1 1 1 0.0352390
0.9848485 DT Sat Proto P85 Jun 0.5879007 0.3969477 0.6012272 0.5879007 0 1 1 1 0.3969477
0.9024390 M1 Sun VP P85 Jun 0.7408325 0.1616065 0.7541590 0.7408325 0 1 1 1 0.1616065
0.8536585 M1 Mon VP P85 Jun 0.7689963 0.0846623 0.7823227 0.7689963 0 1 1 1 0.0846623
0.8695652 M1 Tue VP P85 Jun 0.7450137 0.1245516 0.7583401 0.7450137 0 1 1 1 0.1245516
0.7948718 M1 Wed VP P85 Jun 0.7539345 0.0409373 0.7672610 0.7539345 0 1 1 1 0.0409373
0.7442922 M1 Thu VP P85 Jun 0.7717308 -0.0274386 0.7850573 0.7717308 0 1 1 1 -0.0274386
0.9195980 M1 Fri VP P85 Jun 0.7842979 0.1353001 0.7976244 0.7842979 0 1 1 1 0.1353001
0.9491525 M1 Sat VP P85 Jun 0.7587891 0.1903635 0.7721156 0.7587891 0 1 1 1 0.1903635
1.0000000 RU-PHEV Sun J1 P100 Jun 0.8248892 0.1751108 0.8382157 0.8248892 0 1 1 1 0.1751108
0.9615385 RU-PHEV Mon J1 P100 Jun 0.8530530 0.1084855 0.8663795 0.8530530 0 1 1 1 0.1084855
1.0000000 RU-PHEV Tue J1 P100 Jun 0.8290704 0.1709296 0.8423969 0.8290704 0 1 1 1 0.1709296
0.9285714 RU-PHEV Wed J1 P100 Jun 0.8379912 0.0905802 0.8513177 0.8379912 0 1 1 1 0.0905802
0.8202247 RU-PHEV Thu J1 P100 Jun 0.8557876 -0.0355628 0.8691140 0.8557876 0 1 1 1 -0.0355628
1.0000000 RU-PHEV Fri J1 P100 Jun 0.8683547 0.1316453 0.8816811 0.8683547 0 1 1 1 0.1316453
1.0000000 RU-PHEV Sat J1 P100 Jun 0.8428458 0.1571542 0.8561723 0.8428458 0 1 1 1 0.1571542
1.0000000 RU-PHEV Sun PS P100 Jun 0.8994940 0.1005060 0.9128204 0.8994940 0 1 1 1 0.1005060
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1.0000000 RU-PHEV Tue PS P100 Jun 0.9036751 0.0963249 0.9170016 0.9036751 0 1 1 1 0.0963249
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1.0000000 M1 Sat VP P70 Jun 0.7538668 0.2461332 0.7671932 0.7538668 0 1 1 1 0.2461332
0.7000000 M6 Sat VP P70 Jun 0.5784615 0.1215385 0.5917880 0.5784615 0 1 1 1 0.1215385
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0.6174402 DT Sat Proto P100 Jul 0.5292002 0.0882400 0.5804017 0.5292002 0 1 1 1 0.0882400
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0.0000000 M6 Fri VP P100 Jul 0.5501921 -0.5501921 0.6013936 0.5501921 0 1 1 1 -0.5501921
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1.0000000 BU Sun J1 P70 Jul 0.5541275 0.4458725 0.6053290 0.5541275 0 1 1 1 0.4458725
0.2750000 BU Mon J1 P70 Jul 0.5822913 -0.3072913 0.6334928 0.5822913 0 1 1 1 -0.3072913
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0.0000000 BU Thu J1 P70 Jul 0.5850259 -0.5850259 0.6362273 0.5850259 0 1 1 1 -0.5850259
0.6666667 BU Fri J1 P70 Jul 0.5975929 0.0690737 0.6487944 0.5975929 0 1 1 1 0.0690737
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0.9090909 KL Mon Mule P70 Jul 0.6122897 0.2968013 0.6634911 0.6122897 0 1 1 1 0.2968013
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1.0000000 RU-PHEV Mon VP P70 Aug 0.8057413 0.1942587 0.8322956 0.8057413 0 1 1 1 0.1942587
0.9583333 JK Tue VP P70 Aug 0.8903482 0.0679851 0.9169025 0.8903482 0 1 1 1 0.0679851
0.9444444 KL Tue VP P70 Aug 0.7937971 0.1506473 0.8203514 0.7937971 0 1 1 1 0.1506473
1.0000000 M1 Tue VP P70 Aug 0.7268635 0.2731365 0.7534178 0.7268635 0 1 1 1 0.2731365
0.5446429 M6 Tue VP P70 Aug 0.5514583 -0.0068154 0.5780126 0.5514583 0 1 1 1 -0.0068154
1.0000000 RU Tue VP P70 Aug 0.8452276 0.1547724 0.8717819 0.8452276 0 1 1 1 0.1547724
0.7031250 RU-PHEV Tue VP P70 Aug 0.7817587 -0.0786337 0.8083130 0.7817587 0 1 1 1 -0.0786337
0.4000000 JK Wed VP P70 Aug 0.8992691 -0.4992691 0.9258234 0.8992691 0 1 1 1 -0.4992691
0.9444444 KL Wed VP P70 Aug 0.8027180 0.1417265 0.8292723 0.8027180 0 1 1 1 0.1417265
0.2500000 M6 Wed VP P70 Aug 0.5603791 -0.3103791 0.5869334 0.5603791 0 1 1 1 -0.3103791
1.0000000 RU Wed VP P70 Aug 0.8541484 0.1458516 0.8807027 0.8541484 0 1 1 1 0.1458516
0.7500000 RU-PHEV Wed VP P70 Aug 0.7906795 -0.0406795 0.8172338 0.7906795 0 1 1 1 -0.0406795
1.0000000 JK Thu VP P70 Aug 0.9170654 0.0829346 0.9436197 0.9170654 0 1 1 1 0.0829346
1.0000000 KL Thu VP P70 Aug 0.8205143 0.1794857 0.8470686 0.8205143 0 1 1 1 0.1794857
0.3181818 M6 Thu VP P70 Aug 0.5781754 -0.2599936 0.6047297 0.5781754 0 1 1 1 -0.2599936
0.3333333 RU Thu VP P70 Aug 0.8719448 -0.5386114 0.8984990 0.8719448 0 1 1 1 -0.5386114
0.6666667 RU-PHEV Thu VP P70 Aug 0.8084759 -0.1418092 0.8350302 0.8084759 0 1 1 1 -0.1418092
1.0000000 JK Fri VP P70 Aug 0.9296325 0.0703675 0.9561868 0.9296325 0 1 1 1 0.0703675
0.9315068 KL Fri VP P70 Aug 0.8330814 0.0984255 0.8596357 0.8330814 0 1 1 1 0.0984255
0.4305556 M6 Fri VP P70 Aug 0.5907425 -0.1601870 0.6172968 0.5907425 0 1 1 1 -0.1601870
0.7777778 RU-PHEV Fri VP P70 Aug 0.8210430 -0.0432652 0.8475972 0.8210430 0 1 1 1 -0.0432652
1.0000000 JK Sat VP P70 Aug 0.9041237 0.0958763 0.9306780 0.9041237 0 1 1 1 0.0958763
1.0000000 KL Sat VP P70 Aug 0.8075725 0.1924275 0.8341268 0.8075725 0 1 1 1 0.1924275
0.4000000 M6 Sat VP P70 Aug 0.5652337 -0.1652337 0.5917880 0.5652337 0 1 1 1 -0.1652337
1.0000000 RU-PHEV Sat VP P70 Aug 0.7955341 0.2044659 0.8220884 0.7955341 0 1 1 1 0.2044659
1.0000000 KL Sun Mule P85 Aug 0.6136954 0.3863046 0.6402497 0.6136954 0 1 1 1 0.3863046
1.0000000 KL Tue Mule P85 Aug 0.6178766 0.3821234 0.6444309 0.6178766 0 1 1 1 0.3821234
0.8000000 KL Wed Mule P85 Aug 0.6267974 0.1732026 0.6533517 0.6267974 0 1 1 1 0.1732026
0.6666667 KL Thu Mule P85 Aug 0.6445938 0.0220729 0.6711481 0.6445938 0 1 1 1 0.0220729
0.8888889 KL Fri Mule P85 Aug 0.6571608 0.2317280 0.6837151 0.6571608 0 1 1 1 0.2317280
1.0000000 KL Sat Mule P85 Aug 0.6316520 0.3683480 0.6582063 0.6316520 0 1 1 1 0.3683480
0.2173913 DT Sun Proto P85 Aug 0.5567163 -0.3393250 0.5832706 0.5567163 0 1 1 1 -0.3393250
0.0000000 K8 Sun Proto P85 Aug 0.4485287 -0.4485287 0.4750830 0.4485287 0 1 1 1 -0.4485287
0.1666667 DT Mon Proto P85 Aug 0.5848801 -0.4182135 0.6114344 0.5848801 0 1 1 1 -0.4182135
0.0000000 K8 Mon Proto P85 Aug 0.4766925 -0.4766925 0.5032467 0.4766925 0 1 1 1 -0.4766925
0.5781250 DT Tue Proto P85 Aug 0.5608975 0.0172275 0.5874518 0.5608975 0 1 1 1 0.0172275
0.3750000 K8 Tue Proto P85 Aug 0.4527098 -0.0777098 0.4792641 0.4527098 0 1 1 1 -0.0777098
0.5714286 DT Wed Proto P85 Aug 0.5698184 0.0016102 0.5963727 0.5698184 0 1 1 1 0.0016102
0.4500000 K8 Wed Proto P85 Aug 0.4616307 -0.0116307 0.4881850 0.4616307 0 1 1 1 -0.0116307
0.8636364 DT Thu Proto P85 Aug 0.5876147 0.2760217 0.6141690 0.5876147 0 1 1 1 0.2760217
0.2500000 K8 Thu Proto P85 Aug 0.4794270 -0.2294270 0.5059813 0.4794270 0 1 1 1 -0.2294270
0.5853659 DT Fri Proto P85 Aug 0.6001818 -0.0148159 0.6267361 0.6001818 0 1 1 1 -0.0148159
0.3333333 K8 Fri Proto P85 Aug 0.4919941 -0.1586608 0.5185484 0.4919941 0 1 1 1 -0.1586608
0.5937500 DT Sat Proto P85 Aug 0.5746729 0.0190771 0.6012272 0.5746729 0 1 1 1 0.0190771
0.2352941 K8 Sat Proto P85 Aug 0.4664853 -0.2311911 0.4930396 0.4664853 0 1 1 1 -0.2311911
0.5498392 RU-PHEV Sun J1 P100 Aug 0.8116614 -0.2618222 0.8382157 0.8116614 0 1 1 1 -0.2618222
1.0000000 RU-PHEV Mon J1 P100 Aug 0.8398252 0.1601748 0.8663795 0.8398252 0 1 1 1 0.1601748
0.9285714 RU-PHEV Tue J1 P100 Aug 0.8158426 0.1127289 0.8423969 0.8158426 0 1 1 1 0.1127289
0.8828829 RU-PHEV Wed J1 P100 Aug 0.8247634 0.0581195 0.8513177 0.8247634 0 1 1 1 0.0581195
0.9491525 RU-PHEV Thu J1 P100 Aug 0.8425598 0.1065928 0.8691140 0.8425598 0 1 1 1 0.1065928
0.8865979 RU-PHEV Fri J1 P100 Aug 0.8551268 0.0314711 0.8816811 0.8551268 0 1 1 1 0.0314711
0.7500000 RU-PHEV Sat J1 P100 Aug 0.8296180 -0.0796180 0.8561723 0.8296180 0 1 1 1 -0.0796180
1.0000000 RU-PHEV Sun PS P100 Aug 0.8862661 0.1137339 0.9128204 0.8862661 0 1 1 1 0.1137339
1.0000000 RU-PHEV Mon PS P100 Aug 0.9144299 0.0855701 0.9409842 0.9144299 0 1 1 1 0.0855701
0.8409091 RU-PHEV Tue PS P100 Aug 0.8904473 -0.0495382 0.9170016 0.8904473 0 1 1 1 -0.0495382
0.9062500 RU-PHEV Wed PS P100 Aug 0.8993682 0.0068818 0.9259225 0.8993682 0 1 1 1 0.0068818
0.8888889 RU-PHEV Thu PS P100 Aug 0.9171645 -0.0282756 0.9437188 0.9171645 0 1 1 1 -0.0282756
1.0000000 RU-PHEV Fri PS P100 Aug 0.9297316 0.0702684 0.9562859 0.9297316 0 1 1 1 0.0702684
1.0000000 RU-PHEV Sat PS P100 Aug 0.9042227 0.0957773 0.9307770 0.9042227 0 1 1 1 0.0957773
0.8367347 RU-PHEV Sun VP P100 Aug 0.7616743 0.0750604 0.7882286 0.7616743 0 1 1 1 0.0750604
0.9583333 RU-PHEV Mon VP P100 Aug 0.7898381 0.1684953 0.8163924 0.7898381 0 1 1 1 0.1684953
0.5714286 RU-PHEV Tue VP P100 Aug 0.7658555 -0.1944269 0.7924098 0.7658555 0 1 1 1 -0.1944269
0.7500000 RU-PHEV Wed VP P100 Aug 0.7747763 -0.0247763 0.8013306 0.7747763 0 1 1 1 -0.0247763
0.6190476 RU-PHEV Thu VP P100 Aug 0.7925726 -0.1735250 0.8191269 0.7925726 0 1 1 1 -0.1735250
0.8750000 RU-PHEV Fri VP P100 Aug 0.8051397 0.0698603 0.8316940 0.8051397 0 1 1 1 0.0698603
0.9333333 RU-PHEV Sat VP P100 Aug 0.7796309 0.1537025 0.8061852 0.7796309 0 1 1 1 0.1537025
0.7096774 M1 Sun PS P70 Aug 0.8472742 -0.1375968 0.8738285 0.8472742 0 1 1 1 -0.1375968
0.7916667 M1 Mon PS P70 Aug 0.8754380 -0.0837713 0.9019923 0.8754380 0 1 1 1 -0.0837713
0.9285714 M1 Tue PS P70 Aug 0.8514554 0.0771161 0.8780097 0.8514554 0 1 1 1 0.0771161
0.7000000 M1 Wed PS P70 Aug 0.8603762 -0.1603762 0.8869305 0.8603762 0 1 1 1 -0.1603762
1.0000000 BU Thu PS P70 Aug 0.6842778 0.3157222 0.7108321 0.6842778 0 1 1 1 0.3157222
1.0000000 M1 Thu PS P70 Aug 0.8781726 0.1218274 0.9047269 0.8781726 0 1 1 1 0.1218274
0.8000000 BU Fri PS P70 Aug 0.6968449 0.1031551 0.7233992 0.6968449 0 1 1 1 0.1031551
1.0000000 M1 Fri PS P70 Aug 0.8907397 0.1092603 0.9172939 0.8907397 0 1 1 1 0.1092603
0.7777778 M1 Sat PS P70 Aug 0.8652308 -0.0874530 0.8917851 0.8652308 0 1 1 1 -0.0874530
0.8571429 KL Sun VP P70 Aug 0.7896159 0.0675269 0.8161702 0.7896159 0 1 1 1 0.0675269
1.0000000 KL Mon VP P70 Aug 0.8177797 0.1822203 0.8443340 0.8177797 0 1 1 1 0.1822203
0.9444444 KL Tue VP P70 Aug 0.7937971 0.1506473 0.8203514 0.7937971 0 1 1 1 0.1506473
1.0000000 KL Wed VP P70 Aug 0.8027180 0.1972820 0.8292723 0.8027180 0 1 1 1 0.1972820
1.0000000 KL Thu VP P70 Aug 0.8205143 0.1794857 0.8470686 0.8205143 0 1 1 1 0.1794857
1.0000000 KL Fri VP P70 Aug 0.8330814 0.1669186 0.8596357 0.8330814 0 1 1 1 0.1669186
0.8888889 KL Sat VP P70 Aug 0.8075725 0.0813164 0.8341268 0.8075725 0 1 1 1 0.0813164
1.0000000 RU-PHEV Sun J1 P70 Aug 0.8275646 0.1724354 0.8541189 0.8275646 0 1 1 1 0.1724354
0.9875000 RU-PHEV Mon J1 P70 Aug 0.8557284 0.1317716 0.8822827 0.8557284 0 1 1 1 0.1317716
0.9425000 RU-PHEV Tue J1 P70 Aug 0.8317458 0.1107542 0.8583001 0.8317458 0 1 1 1 0.1107542
0.9310345 RU-PHEV Wed J1 P70 Aug 0.8406666 0.0903678 0.8672209 0.8406666 0 1 1 1 0.0903678
0.9689922 RU-PHEV Thu J1 P70 Aug 0.8584630 0.1105293 0.8850173 0.8584630 0 1 1 1 0.1105293
0.9722222 RU-PHEV Fri J1 P70 Aug 0.8710301 0.1011922 0.8975843 0.8710301 0 1 1 1 0.1011922
0.9800000 RU-PHEV Sat J1 P70 Aug 0.8455212 0.1344788 0.8720755 0.8455212 0 1 1 1 0.1344788
0.9878049 RU-PHEV Sun PS P70 Aug 0.9021694 0.0856355 0.9287237 0.9021694 0 1 1 1 0.0856355
1.0000000 RU-PHEV Mon PS P70 Aug 0.9303331 0.0696669 0.9568874 0.9303331 0 1 1 1 0.0696669
0.9479167 RU-PHEV Tue PS P70 Aug 0.9063505 0.0415661 0.9329048 0.9063505 0 1 1 1 0.0415661
0.9767442 RU-PHEV Wed PS P70 Aug 0.9152714 0.0614728 0.9418257 0.9152714 0 1 1 1 0.0614728
0.7272727 RU-PHEV Thu PS P70 Aug 0.9330677 -0.2057950 0.9596220 0.9330677 0 1 1 1 -0.2057950
0.8888889 RU-PHEV Fri PS P70 Aug 0.9456348 -0.0567459 0.9721891 0.9456348 0 1 1 1 -0.0567459
1.0000000 RU-PHEV Sat PS P70 Aug 0.9201259 0.0798741 0.9466802 0.9201259 0 1 1 1 0.0798741
1.0000000 RU-PHEV Sun VP P70 Aug 0.7775775 0.2224225 0.8041318 0.7775775 0 1 1 1 0.2224225
1.0000000 RU-PHEV Fri VP P70 Aug 0.8210430 0.1789570 0.8475972 0.8210430 0 1 1 1 0.1789570
1.0000000 RU-PHEV Sat VP P70 Aug 0.7955341 0.2044659 0.8220884 0.7955341 0 1 1 1 0.2044659 
broom::tidy(blmer1)
broom::augment(blmer1)%>%knitr::kable()
CPG_Uptime vehicle_family_ref Day_of_Week build_phase priority_category_cd Month .fitted .resid .fixed .mu .offset .sqrtXwt .sqrtrwt .weights .wtres
0.8333333 RU-PHEV Sun J1 P100 Jan 0.8400398 -0.0067065 0.8382157 0.8400398 0 1 1 1 -0.0067065
1.0000000 RU-PHEV Mon J1 P100 Jan 0.8682036 0.1317964 0.8663795 0.8682036 0 1 1 1 0.1317964
0.6511628 RU-PHEV Tue J1 P100 Jan 0.8442210 -0.1930582 0.8423969 0.8442210 0 1 1 1 -0.1930582
0.3333333 RU-PHEV Wed J1 P100 Jan 0.8531419 -0.5198085 0.8513177 0.8531419 0 1 1 1 -0.5198085
1.0000000 RU-PHEV Thu J1 P100 Jan 0.8709382 0.1290618 0.8691140 0.8709382 0 1 1 1 0.1290618
1.0000000 RU-PHEV Fri J1 P100 Jan 0.8835053 0.1164947 0.8816811 0.8835053 0 1 1 1 0.1164947
1.0000000 RU-PHEV Sat J1 P100 Jan 0.8579964 0.1420036 0.8561723 0.8579964 0 1 1 1 0.1420036
1.0000000 JL Sun Mule 2 P100 Jan 0.7826961 0.2173039 0.7808719 0.7826961 0 1 1 1 0.2173039
0.6901408 JL Mon Mule 2 P100 Jan 0.8108598 -0.1207190 0.8090357 0.8108598 0 1 1 1 -0.1207190
0.8400000 JL Tue Mule 2 P100 Jan 0.7868772 0.0531228 0.7850531 0.7868772 0 1 1 1 0.0531228
0.9145299 JL Wed Mule 2 P100 Jan 0.7957981 0.1187318 0.7939740 0.7957981 0 1 1 1 0.1187318
0.9166667 JL Thu Mule 2 P100 Jan 0.8135944 0.1030722 0.8117703 0.8135944 0 1 1 1 0.1030722
1.0000000 JL Fri Mule 2 P100 Jan 0.8261615 0.1738385 0.8243374 0.8261615 0 1 1 1 0.1738385
0.9761905 JL Sat Mule 2 P100 Jan 0.8006527 0.1755378 0.7988285 0.8006527 0 1 1 1 0.1755378
0.5870445 JL Sun Proto P100 Jan 0.5562519 0.0307926 0.5544278 0.5562519 0 1 1 1 0.0307926
0.4277344 JL Mon Proto P100 Jan 0.5844157 -0.1566813 0.5825916 0.5844157 0 1 1 1 -0.1566813
0.5013587 JL Tue Proto P100 Jan 0.5604331 -0.0590744 0.5586090 0.5604331 0 1 1 1 -0.0590744
0.4802867 JL Wed Proto P100 Jan 0.5693540 -0.0890672 0.5675298 0.5693540 0 1 1 1 -0.0890672
0.6619337 JL Thu Proto P100 Jan 0.5871503 0.0747835 0.5853261 0.5871503 0 1 1 1 0.0747835
0.6557971 JL Fri Proto P100 Jan 0.5997174 0.0560797 0.5978932 0.5997174 0 1 1 1 0.0560797
0.5704225 JL Sat Proto P100 Jan 0.5742085 -0.0037860 0.5723844 0.5742085 0 1 1 1 -0.0037860
1.0000000 MP Sun PS P100 Jan 0.8020021 0.1979979 0.8001780 0.8020021 0 1 1 1 0.1979979
1.0000000 RU-PHEV Sun PS P100 Jan 0.9146446 0.0853554 0.9128204 0.9146446 0 1 1 1 0.0853554
1.0000000 RU-PHEV Mon PS P100 Jan 0.9428084 0.0571916 0.9409842 0.9428084 0 1 1 1 0.0571916
0.8048780 RU-PHEV Tue PS P100 Jan 0.9188257 -0.1139477 0.9170016 0.9188257 0 1 1 1 -0.1139477
0.8947368 RU-PHEV Wed PS P100 Jan 0.9277466 -0.0330098 0.9259225 0.9277466 0 1 1 1 -0.0330098
0.8055556 RU-PHEV Thu PS P100 Jan 0.9455429 -0.1399874 0.9437188 0.9455429 0 1 1 1 -0.1399874
1.0000000 MP Fri PS P100 Jan 0.8454676 0.1545324 0.8436434 0.8454676 0 1 1 1 0.1545324
0.8430233 RU-PHEV Fri PS P100 Jan 0.9581100 -0.1150868 0.9562859 0.9581100 0 1 1 1 -0.1150868
1.0000000 MP Sat PS P100 Jan 0.8199587 0.1800413 0.8181346 0.8199587 0 1 1 1 0.1800413
1.0000000 RU-PHEV Sat PS P100 Jan 0.9326012 0.0673988 0.9307770 0.9326012 0 1 1 1 0.0673988
0.5951860 MP Sun VP P100 Jan 0.6774103 -0.0822243 0.6755861 0.6774103 0 1 1 1 -0.0822243
0.6595745 MP Mon VP P100 Jan 0.7055740 -0.0459996 0.7037499 0.7055740 0 1 1 1 -0.0459996
0.6466877 MP Tue VP P100 Jan 0.6815914 -0.0349037 0.6797673 0.6815914 0 1 1 1 -0.0349037
0.8115942 MP Wed VP P100 Jan 0.6905123 0.1210819 0.6886882 0.6905123 0 1 1 1 0.1210819
0.8439716 MP Thu VP P100 Jan 0.7083086 0.1356630 0.7064845 0.7083086 0 1 1 1 0.1356630
0.7838050 MP Fri VP P100 Jan 0.7208757 0.0629293 0.7190516 0.7208757 0 1 1 1 0.0629293
0.6799674 MP Sat VP P100 Jan 0.6953668 -0.0153994 0.6935427 0.6953668 0 1 1 1 -0.0153994
0.0000000 WD-SRT Sun Comp Veh P70 Jan 0.1894036 -0.1894036 0.1875794 0.1894036 0 1 1 1 -0.1894036
0.0000000 WD-SRT Mon Comp Veh P70 Jan 0.2175673 -0.2175673 0.2157432 0.2175673 0 1 1 1 -0.2175673
0.0000000 WD-SRT Tue Comp Veh P70 Jan 0.1935847 -0.1935847 0.1917606 0.1935847 0 1 1 1 -0.1935847
0.1923077 WD-SRT Wed Comp Veh P70 Jan 0.2025056 -0.0101979 0.2006815 0.2025056 0 1 1 1 -0.0101979
0.2142857 WD-SRT Thu Comp Veh P70 Jan 0.2203019 -0.0060162 0.2184778 0.2203019 0 1 1 1 -0.0060162
0.0068966 WD-SRT Fri Comp Veh P70 Jan 0.2328690 -0.2259725 0.2310449 0.2328690 0 1 1 1 -0.2259725
0.0000000 WD-SRT Sat Comp Veh P70 Jan 0.2073601 -0.2073601 0.2055360 0.2073601 0 1 1 1 -0.2073601
0.3483871 JL Sun Mule P70 Jan 0.5708297 -0.2224426 0.5690055 0.5708297 0 1 1 1 -0.2224426
1.0000000 JL Mon Mule P70 Jan 0.5989934 0.4010066 0.5971693 0.5989934 0 1 1 1 0.4010066
0.7427746 JL Tue Mule P70 Jan 0.5750108 0.1677637 0.5731867 0.5750108 0 1 1 1 0.1677637
0.6376812 JL Wed Mule P70 Jan 0.5839317 0.0537495 0.5821076 0.5839317 0 1 1 1 0.0537495
0.7547893 JL Thu Mule P70 Jan 0.6017280 0.1530613 0.5999039 0.6017280 0 1 1 1 0.1530613
0.6250000 JL Fri Mule P70 Jan 0.6142951 0.0107049 0.6124710 0.6142951 0 1 1 1 0.0107049
0.3191489 JL Sat Mule P70 Jan 0.5887862 -0.2696373 0.5869621 0.5887862 0 1 1 1 -0.2696373
0.6160000 JL Sun Proto P70 Jan 0.5721551 0.0438449 0.5703310 0.5721551 0 1 1 1 0.0438449
0.7071130 JL Mon Proto P70 Jan 0.6003189 0.1067941 0.5984948 0.6003189 0 1 1 1 0.1067941
0.5000000 K8 Mon Proto P70 Jan 0.5001486 -0.0001486 0.4983244 0.5001486 0 1 1 1 -0.0001486
0.6573427 JL Tue Proto P70 Jan 0.5763363 0.0810064 0.5745122 0.5763363 0 1 1 1 0.0810064
1.0000000 K8 Tue Proto P70 Jan 0.4761659 0.5238341 0.4743418 0.4761659 0 1 1 1 0.5238341
0.3770492 JL Wed Proto P70 Jan 0.5852572 -0.2082080 0.5834330 0.5852572 0 1 1 1 -0.2082080
0.5937500 JL Thu Proto P70 Jan 0.6030535 -0.0093035 0.6012294 0.6030535 0 1 1 1 -0.0093035
0.8032787 JL Fri Proto P70 Jan 0.6156206 0.1876581 0.6137965 0.6156206 0 1 1 1 0.1876581
0.9411765 JL Sat Proto P70 Jan 0.5901117 0.3510647 0.5882876 0.5901117 0 1 1 1 0.3510647
1.0000000 M1 Sun PS P70 Jan 0.8756526 0.1243474 0.8738285 0.8756526 0 1 1 1 0.1243474
1.0000000 MP Sun PS P70 Jan 0.8179053 0.1820947 0.8160812 0.8179053 0 1 1 1 0.1820947
0.8928571 M1 Mon PS P70 Jan 0.9038164 -0.0109593 0.9019923 0.9038164 0 1 1 1 -0.0109593
0.9791667 MP Mon PS P70 Jan 0.8460691 0.1330976 0.8442450 0.8460691 0 1 1 1 0.1330976
1.0000000 RU-PHEV Mon PS P70 Jan 0.9587116 0.0412884 0.9568874 0.9587116 0 1 1 1 0.0412884
0.9607843 M1 Tue PS P70 Jan 0.8798338 0.0809505 0.8780097 0.8798338 0 1 1 1 0.0809505
1.0000000 MP Tue PS P70 Jan 0.8220865 0.1779135 0.8202624 0.8220865 0 1 1 1 0.1779135
1.0000000 RU-PHEV Tue PS P70 Jan 0.9347290 0.0652710 0.9329048 0.9347290 0 1 1 1 0.0652710
0.6321839 M1 Wed PS P70 Jan 0.8887547 -0.2565708 0.8869305 0.8887547 0 1 1 1 -0.2565708
1.0000000 MP Wed PS P70 Jan 0.8310074 0.1689926 0.8291832 0.8310074 0 1 1 1 0.1689926
1.0000000 RU-PHEV Wed PS P70 Jan 0.9436498 0.0563502 0.9418257 0.9436498 0 1 1 1 0.0563502
0.7083333 M1 Thu PS P70 Jan 0.9065510 -0.1982177 0.9047269 0.9065510 0 1 1 1 -0.1982177
0.6000000 MP Thu PS P70 Jan 0.8488037 -0.2488037 0.8469795 0.8488037 0 1 1 1 -0.2488037
1.0000000 RU-PHEV Thu PS P70 Jan 0.9614461 0.0385539 0.9596220 0.9614461 0 1 1 1 0.0385539
0.8571429 M1 Fri PS P70 Jan 0.9191181 -0.0619752 0.9172939 0.9191181 0 1 1 1 -0.0619752
0.6483516 MP Fri PS P70 Jan 0.8613708 -0.2130191 0.8595466 0.8613708 0 1 1 1 -0.2130191
0.6923077 RU-PHEV Fri PS P70 Jan 0.9740132 -0.2817055 0.9721891 0.9740132 0 1 1 1 -0.2817055
0.8518519 M1 Sat PS P70 Jan 0.8936092 -0.0417574 0.8917851 0.8936092 0 1 1 1 -0.0417574
1.0000000 MP Sat PS P70 Jan 0.8358619 0.1641381 0.8340378 0.8358619 0 1 1 1 0.1641381
0.5247525 DJ Sun VP P70 Jan 0.7535517 -0.2287992 0.7517275 0.7535517 0 1 1 1 -0.2287992
1.0000000 M4 Sun VP P70 Jan 0.8286748 0.1713252 0.8268507 0.8286748 0 1 1 1 0.1713252
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1.0000000 M4 Tue VP P70 Jan 0.8328560 0.1671440 0.8310319 0.8328560 0 1 1 1 0.1671440
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1.0000000 M4 Wed VP P70 Jan 0.8417769 0.1582231 0.8399527 0.8417769 0 1 1 1 0.1582231
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0.4352159 DJ Sat VP P70 Jan 0.7715083 -0.3362923 0.7696841 0.7715083 0 1 1 1 -0.3362923
1.0000000 M4 Sat VP P70 Jan 0.8466314 0.1533686 0.8448073 0.8466314 0 1 1 1 0.1533686
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0.6991350 K8 Fri Proto P85 Jan 0.5203726 0.1787625 0.5185484 0.5203726 0 1 1 1 0.1787625
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0.9810651 RU-PHEV Wed VP P100 Jan 0.8031548 0.1779103 0.8013306 0.8031548 0 1 1 1 0.1779103
0.9399249 RU-PHEV Thu VP P100 Jan 0.8209511 0.1189738 0.8191269 0.8209511 0 1 1 1 0.1189738
0.8828697 RU-PHEV Fri VP P100 Jan 0.8335182 0.0493515 0.8316940 0.8335182 0 1 1 1 0.0493515
0.7182779 RU-PHEV Sat VP P100 Jan 0.8080093 -0.0897314 0.8061852 0.8080093 0 1 1 1 -0.0897314
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0.2500000 39 Thu J1 P70 Jan 0.4034616 -0.1534616 0.4016375 0.4034616 0 1 1 1 -0.1534616
0.4000000 39 Fri J1 P70 Jan 0.4160287 -0.0160287 0.4142046 0.4160287 0 1 1 1 -0.0160287
0.0000000 39 Sat J1 P70 Jan 0.3905199 -0.3905199 0.3886957 0.3905199 0 1 1 1 -0.3905199
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1.0000000 BU Wed PS P70 Jan 0.6948599 0.3051401 0.6930358 0.6948599 0 1 1 1 0.3051401
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0.9500000 M4 Fri VP P70 Jan 0.8721403 0.0778597 0.8703161 0.8721403 0 1 1 1 0.0778597
0.2000000 MP Fri VP P70 Jan 0.7367789 -0.5367789 0.7349548 0.7367789 0 1 1 1 -0.5367789
0.7674419 KL Sat VP P70 Jan 0.8359509 -0.0685091 0.8341268 0.8359509 0 1 1 1 -0.0685091
1.0000000 M4 Sat VP P70 Jan 0.8466314 0.1533686 0.8448073 0.8466314 0 1 1 1 0.1533686
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0.8888889 RU-PHEV Mon J1 P100 Feb 0.8624569 0.0264320 0.8663795 0.8624569 0 1 1 1 0.0264320
1.0000000 RU-PHEV Tue J1 P100 Feb 0.8384742 0.1615258 0.8423969 0.8384742 0 1 1 1 0.1615258
0.8888889 RU-PHEV Wed J1 P100 Feb 0.8473951 0.0414938 0.8513177 0.8473951 0 1 1 1 0.0414938
1.0000000 RU-PHEV Thu J1 P100 Feb 0.8651914 0.1348086 0.8691140 0.8651914 0 1 1 1 0.1348086
0.9830508 RU-PHEV Fri J1 P100 Feb 0.8777585 0.1052923 0.8816811 0.8777585 0 1 1 1 0.1052923
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0.9450549 RU-PHEV Fri PS P100 Feb 0.9523633 -0.0073083 0.9562859 0.9523633 0 1 1 1 -0.0073083
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0.6250000 MP Wed VP P100 Feb 0.6847655 -0.0597655 0.6886882 0.6847655 0 1 1 1 -0.0597655
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0.7500000 MP Fri VP P100 Feb 0.7151290 0.0348710 0.7190516 0.7151290 0 1 1 1 0.0348710
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0.0000000 WD-SRT Wed Comp Veh P70 Feb 0.1967588 -0.1967588 0.2006815 0.1967588 0 1 1 1 -0.1967588
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0.0000000 WD-SRT Sat Comp Veh P70 Feb 0.2016134 -0.2016134 0.2055360 0.2016134 0 1 1 1 -0.2016134
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0.0000000 JL Sat Proto P70 Feb 0.5843650 -0.5843650 0.5882876 0.5843650 0 1 1 1 -0.5843650
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1.0000000 MP Wed PS P70 Feb 0.8252606 0.1747394 0.8291832 0.8252606 0 1 1 1 0.1747394
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1.0000000 M1 Sat PS P70 Feb 0.8878625 0.1121375 0.8917851 0.8878625 0 1 1 1 0.1121375
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1.0000000 M1 Sat VP P70 Mar 0.7965139 0.2034861 0.7671932 0.7965139 0 1 1 1 0.2034861
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0.8116071 RU-PHEV Fri VP P100 Mar 0.8610147 -0.0494076 0.8316940 0.8610147 0 1 1 1 -0.0494076
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1.0000000 M1 Sat PS P70 Apr 0.9430547 0.0569453 0.8917851 0.9430547 0 1 1 1 0.0569453
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1.0000000 M1 Sun VP P70 Apr 0.8005062 0.1994938 0.7492366 0.8005062 0 1 1 1 0.1994938
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1.0000000 KL Sat VP P70 Apr 0.8853964 0.1146036 0.8341268 0.8853964 0 1 1 1 0.1146036
0.8947368 M1 Sat VP P70 Apr 0.8184628 0.0762740 0.7671932 0.8184628 0 1 1 1 0.0762740
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0.8387909 DT Sat Proto P100 May 0.5929922 0.2457987 0.5804017 0.5929922 0 1 1 1 0.2457987
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1.0000000 VM Mon PS P100 May 0.8360523 0.1639477 0.8234618 0.8360523 0 1 1 1 0.1639477
1.0000000 VM Tue PS P100 May 0.8120697 0.1879303 0.7994792 0.8120697 0 1 1 1 0.1879303
1.0000000 VM Wed PS P100 May 0.8209906 0.1790094 0.8084000 0.8209906 0 1 1 1 0.1790094
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1.0000000 VM Fri PS P100 May 0.8513540 0.1486460 0.8387635 0.8513540 0 1 1 1 0.1486460
1.0000000 VM Sat PS P100 May 0.8258451 0.1741549 0.8132546 0.8258451 0 1 1 1 0.1741549
1.0000000 JK Sun VP P100 May 0.9094087 0.0905913 0.8968181 0.9094087 0 1 1 1 0.0905913
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0.6315789 M1 Sun VP P100 May 0.7459240 -0.1143450 0.7333334 0.7459240 0 1 1 1 -0.1143450
1.0000000 JK Mon VP P100 May 0.9375725 0.0624275 0.9249819 0.9375725 0 1 1 1 0.0624275
0.6538462 JL Mon VP P100 May 0.7746995 -0.1208533 0.7621089 0.7746995 0 1 1 1 -0.1208533
0.9466667 M1 Mon VP P100 May 0.7740877 0.1725789 0.7614972 0.7740877 0 1 1 1 0.1725789
0.9583333 JK Tue VP P100 May 0.9135898 0.0447435 0.9009993 0.9135898 0 1 1 1 0.0447435
0.7777778 JL Tue VP P100 May 0.7507169 0.0270609 0.7381263 0.7507169 0 1 1 1 0.0270609
0.8333333 M1 Tue VP P100 May 0.7501051 0.0832282 0.7375146 0.7501051 0 1 1 1 0.0832282
1.0000000 JK Wed VP P100 May 0.9225107 0.0774893 0.9099202 0.9225107 0 1 1 1 0.0774893
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0.7391304 M1 Wed VP P100 May 0.7590260 -0.0198956 0.7464355 0.7590260 0 1 1 1 -0.0198956
1.0000000 JK Thu VP P100 May 0.9403070 0.0596930 0.9277165 0.9403070 0 1 1 1 0.0596930
1.0000000 JL Thu VP P100 May 0.7774340 0.2225660 0.7648435 0.7774340 0 1 1 1 0.2225660
0.8000000 M1 Thu VP P100 May 0.7768223 0.0231777 0.7642318 0.7768223 0 1 1 1 0.0231777
1.0000000 JK Fri VP P100 May 0.9528741 0.0471259 0.9402836 0.9528741 0 1 1 1 0.0471259
0.4583333 JL Fri VP P100 May 0.7900011 -0.3316678 0.7774106 0.7900011 0 1 1 1 -0.3316678
0.8410596 M1 Fri VP P100 May 0.7893894 0.0516702 0.7767989 0.7893894 0 1 1 1 0.0516702
1.0000000 JK Sat VP P100 May 0.9273653 0.0726347 0.9147747 0.9273653 0 1 1 1 0.0726347
1.0000000 JL Sat VP P100 May 0.7644923 0.2355077 0.7519018 0.7644923 0 1 1 1 0.2355077
0.7419355 M1 Sat VP P100 May 0.7638805 -0.0219451 0.7512900 0.7638805 0 1 1 1 -0.0219451
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0.2564103 M6 Sun VP P100 Jun 0.5446017 -0.2881914 0.5579282 0.5446017 0 1 1 1 -0.2881914
0.3648649 JL Mon VP P100 Jun 0.7487825 -0.3839176 0.7621089 0.7487825 0 1 1 1 -0.3839176
0.6923077 M1 Mon VP P100 Jun 0.7481707 -0.0558630 0.7614972 0.7481707 0 1 1 1 -0.0558630
0.3875000 M6 Mon VP P100 Jun 0.5727655 -0.1852655 0.5860920 0.5727655 0 1 1 1 -0.1852655
0.5130435 JL Tue VP P100 Jun 0.7247999 -0.2117564 0.7381263 0.7247999 0 1 1 1 -0.2117564
0.7500000 M1 Tue VP P100 Jun 0.7241881 0.0258119 0.7375146 0.7241881 0 1 1 1 0.0258119
0.4444444 M6 Tue VP P100 Jun 0.5487829 -0.1043384 0.5621093 0.5487829 0 1 1 1 -0.1043384
0.6821429 JL Wed VP P100 Jun 0.7337207 -0.0515779 0.7470472 0.7337207 0 1 1 1 -0.0515779
1.0000000 M1 Wed VP P100 Jun 0.7331090 0.2668910 0.7464355 0.7331090 0 1 1 1 0.2668910
0.1891892 M6 Wed VP P100 Jun 0.5577037 -0.3685145 0.5710302 0.5577037 0 1 1 1 -0.3685145
0.7150997 JL Thu VP P100 Jun 0.7515170 -0.0364173 0.7648435 0.7515170 0 1 1 1 -0.0364173
1.0000000 M1 Thu VP P100 Jun 0.7509053 0.2490947 0.7642318 0.7509053 0 1 1 1 0.2490947
0.3595506 M6 Thu VP P100 Jun 0.5755000 -0.2159495 0.5888265 0.5755000 0 1 1 1 -0.2159495
0.6208531 JL Fri VP P100 Jun 0.7640841 -0.1432311 0.7774106 0.7640841 0 1 1 1 -0.1432311
1.0000000 M1 Fri VP P100 Jun 0.7634724 0.2365276 0.7767989 0.7634724 0 1 1 1 0.2365276
0.4419890 M6 Fri VP P100 Jun 0.5880671 -0.1460782 0.6013936 0.5880671 0 1 1 1 -0.1460782
0.5742972 JL Sat VP P100 Jun 0.7385753 -0.1642781 0.7519018 0.7385753 0 1 1 1 -0.1642781
0.8888889 M1 Sat VP P100 Jun 0.7379635 0.1509253 0.7512900 0.7379635 0 1 1 1 0.1509253
0.6470588 M6 Sat VP P100 Jun 0.5625583 0.0845005 0.5758848 0.5625583 0 1 1 1 0.0845005
0.5833333 JL Mon VP(B) P100 Jun 0.5824061 0.0009272 0.5957326 0.5824061 0 1 1 1 0.0009272
0.4000000 JL Tue VP(B) P100 Jun 0.5584235 -0.1584235 0.5717500 0.5584235 0 1 1 1 -0.1584235
0.0000000 JL Wed VP(B) P100 Jun 0.5673443 -0.5673443 0.5806708 0.5673443 0 1 1 1 -0.5673443
1.0000000 JL Thu VP(B) P100 Jun 0.5851407 0.4148593 0.5984672 0.5851407 0 1 1 1 0.4148593
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0.0000000 BU Sun J1 P70 Jun 0.5920025 -0.5920025 0.6053290 0.5920025 0 1 1 1 -0.5920025
0.3287671 BU Mon J1 P70 Jun 0.6201663 -0.2913992 0.6334928 0.6201663 0 1 1 1 -0.2913992
0.1954023 BU Tue J1 P70 Jun 0.5961837 -0.4007814 0.6095102 0.5961837 0 1 1 1 -0.4007814
0.6613757 BU Wed J1 P70 Jun 0.6051045 0.0562711 0.6184310 0.6051045 0 1 1 1 0.0562711
0.5600000 BU Thu J1 P70 Jun 0.6229009 -0.0629009 0.6362273 0.6229009 0 1 1 1 -0.0629009
0.4711538 BU Fri J1 P70 Jun 0.6354680 -0.1643141 0.6487944 0.6354680 0 1 1 1 -0.1643141
0.0000000 BU Sat J1 P70 Jun 0.6099591 -0.6099591 0.6232856 0.6099591 0 1 1 1 -0.6099591
1.0000000 KL Sun Mule P70 Jun 0.6220009 0.3779991 0.6353274 0.6220009 0 1 1 1 0.3779991
0.7096774 KL Mon Mule P70 Jun 0.6501647 0.0595128 0.6634911 0.6501647 0 1 1 1 0.0595128
0.8313953 KL Tue Mule P70 Jun 0.6261821 0.2052133 0.6395085 0.6261821 0 1 1 1 0.2052133
0.6277778 KL Wed Mule P70 Jun 0.6351029 -0.0073251 0.6484294 0.6351029 0 1 1 1 -0.0073251
0.5250000 KL Thu Mule P70 Jun 0.6528992 -0.1278992 0.6662257 0.6528992 0 1 1 1 -0.1278992
0.6333333 KL Fri Mule P70 Jun 0.6654663 -0.0321330 0.6787928 0.6654663 0 1 1 1 -0.0321330
1.0000000 KL Sat Mule P70 Jun 0.6399575 0.3600425 0.6532840 0.6399575 0 1 1 1 0.3600425
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0.6250000 DT Wed Proto P70 Jun 0.5781239 0.0468761 0.5914503 0.5781239 0 1 1 1 0.0468761
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1.0000000 WK Mon PS P70 Jun 0.9801989 0.0198011 0.9935253 0.9801989 0 1 1 1 0.0198011
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0.8250000 VM Wed PS P70 Jun 0.8109768 0.0140232 0.8243033 0.8109768 0 1 1 1 0.0140232
1.0000000 WK Wed PS P70 Jun 0.9651371 0.0348629 0.9784636 0.9651371 0 1 1 1 0.0348629
0.8260870 VM Thu PS P70 Jun 0.8287731 -0.0026861 0.8420996 0.8287731 0 1 1 1 -0.0026861
1.0000000 WK Thu PS P70 Jun 0.9829334 0.0170666 0.9962599 0.9829334 0 1 1 1 0.0170666
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0.8000000 WK Fri PS P70 Jun 0.9955005 -0.1955005 1.0088270 0.9955005 0 1 1 1 -0.1955005
0.6000000 VM Sat PS P70 Jun 0.8158313 -0.2158313 0.8291578 0.8158313 0 1 1 1 -0.2158313
1.0000000 WK Sat PS P70 Jun 0.9699917 0.0300083 0.9833182 0.9699917 0 1 1 1 0.0300083
1.0000000 JK Sun VP P70 Jun 0.8993949 0.1006051 0.9127214 0.8993949 0 1 1 1 0.1006051
1.0000000 KL Sun VP P70 Jun 0.8028437 0.1971563 0.8161702 0.8028437 0 1 1 1 0.1971563
1.0000000 M1 Sun VP P70 Jun 0.7359102 0.2640898 0.7492366 0.7359102 0 1 1 1 0.2640898
1.0000000 RU Sun VP P70 Jun 0.8542742 0.1457258 0.8676007 0.8542742 0 1 1 1 0.1457258
1.0000000 RU-PHEV Sun VP P70 Jun 0.7908053 0.2091947 0.8041318 0.7908053 0 1 1 1 0.2091947
1.0000000 WD Sun VP P70 Jun 0.7835941 0.2164059 0.7969206 0.7835941 0 1 1 1 0.2164059
0.9346939 WK Sun VP P70 Jun 0.8274432 0.1072506 0.8407697 0.8274432 0 1 1 1 0.1072506
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0.4358974 WD Mon VP P70 Jun 0.8117579 -0.3758604 0.8250843 0.8117579 0 1 1 1 -0.3758604
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1.0000000 JK Tue VP P70 Jun 0.9035760 0.0964240 0.9169025 0.9035760 0 1 1 1 0.0964240
0.9466667 KL Tue VP P70 Jun 0.8070249 0.1396418 0.8203514 0.8070249 0 1 1 1 0.1396418
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0.3902439 RU-PHEV Tue VP P70 Jun 0.7949865 -0.4047426 0.8083130 0.7949865 0 1 1 1 -0.4047426
0.5333333 WD Tue VP P70 Jun 0.7877753 -0.2544419 0.8011017 0.7877753 0 1 1 1 -0.2544419
0.9420290 WK Tue VP P70 Jun 0.8316244 0.1104046 0.8449509 0.8316244 0 1 1 1 0.1104046
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1.0000000 KL Wed VP P70 Jun 0.8159458 0.1840542 0.8292723 0.8159458 0 1 1 1 0.1840542
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1.0000000 JK Sat VP P70 Jun 0.9173515 0.0826485 0.9306780 0.9173515 0 1 1 1 0.0826485
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0.8924731 RU Sat VP P70 Jun 0.8722308 0.0202423 0.8855573 0.8722308 0 1 1 1 0.0202423
1.0000000 RU-PHEV Sat VP P70 Jun 0.8087619 0.1912381 0.8220884 0.8087619 0 1 1 1 0.1912381
0.8227848 WD Sat VP P70 Jun 0.8015507 0.0212341 0.8148772 0.8015507 0 1 1 1 0.0212341
1.0000000 WK Sat VP P70 Jun 0.8453998 0.1546002 0.8587263 0.8453998 0 1 1 1 0.1546002
0.5862069 KL Sun Mule P85 Jun 0.6269232 -0.0407163 0.6402497 0.6269232 0 1 1 1 -0.0407163
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0.5131579 KL Tue Mule P85 Jun 0.6311044 -0.1179465 0.6444309 0.6311044 0 1 1 1 -0.1179465
0.6666667 KL Wed Mule P85 Jun 0.6400252 0.0266414 0.6533517 0.6400252 0 1 1 1 0.0266414
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0.4634146 KL Fri Mule P85 Jun 0.6703887 -0.2069740 0.6837151 0.6703887 0 1 1 1 -0.2069740
0.5000000 KL Sat Mule P85 Jun 0.6448798 -0.1448798 0.6582063 0.6448798 0 1 1 1 -0.1448798
1.0000000 DT Sun Proto P85 Jun 0.5699442 0.4300558 0.5832706 0.5699442 0 1 1 1 0.4300558
0.6304348 DT Mon Proto P85 Jun 0.5981079 0.0323269 0.6114344 0.5981079 0 1 1 1 0.0323269
0.6404494 DT Tue Proto P85 Jun 0.5741253 0.0663241 0.5874518 0.5741253 0 1 1 1 0.0663241
0.6458333 DT Wed Proto P85 Jun 0.5830462 0.0627871 0.5963727 0.5830462 0 1 1 1 0.0627871
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0.6486486 DT Fri Proto P85 Jun 0.6134096 0.0352390 0.6267361 0.6134096 0 1 1 1 0.0352390
0.9848485 DT Sat Proto P85 Jun 0.5879007 0.3969477 0.6012272 0.5879007 0 1 1 1 0.3969477
0.9024390 M1 Sun VP P85 Jun 0.7408325 0.1616065 0.7541590 0.7408325 0 1 1 1 0.1616065
0.8536585 M1 Mon VP P85 Jun 0.7689963 0.0846623 0.7823227 0.7689963 0 1 1 1 0.0846623
0.8695652 M1 Tue VP P85 Jun 0.7450137 0.1245516 0.7583401 0.7450137 0 1 1 1 0.1245516
0.7948718 M1 Wed VP P85 Jun 0.7539345 0.0409373 0.7672610 0.7539345 0 1 1 1 0.0409373
0.7442922 M1 Thu VP P85 Jun 0.7717308 -0.0274386 0.7850573 0.7717308 0 1 1 1 -0.0274386
0.9195980 M1 Fri VP P85 Jun 0.7842979 0.1353001 0.7976244 0.7842979 0 1 1 1 0.1353001
0.9491525 M1 Sat VP P85 Jun 0.7587891 0.1903635 0.7721156 0.7587891 0 1 1 1 0.1903635
1.0000000 RU-PHEV Sun J1 P100 Jun 0.8248892 0.1751108 0.8382157 0.8248892 0 1 1 1 0.1751108
0.9615385 RU-PHEV Mon J1 P100 Jun 0.8530530 0.1084855 0.8663795 0.8530530 0 1 1 1 0.1084855
1.0000000 RU-PHEV Tue J1 P100 Jun 0.8290704 0.1709296 0.8423969 0.8290704 0 1 1 1 0.1709296
0.9285714 RU-PHEV Wed J1 P100 Jun 0.8379912 0.0905802 0.8513177 0.8379912 0 1 1 1 0.0905802
0.8202247 RU-PHEV Thu J1 P100 Jun 0.8557876 -0.0355628 0.8691140 0.8557876 0 1 1 1 -0.0355628
1.0000000 RU-PHEV Fri J1 P100 Jun 0.8683547 0.1316453 0.8816811 0.8683547 0 1 1 1 0.1316453
1.0000000 RU-PHEV Sat J1 P100 Jun 0.8428458 0.1571542 0.8561723 0.8428458 0 1 1 1 0.1571542
1.0000000 RU-PHEV Sun PS P100 Jun 0.8994940 0.1005060 0.9128204 0.8994940 0 1 1 1 0.1005060
1.0000000 RU-PHEV Mon PS P100 Jun 0.9276577 0.0723423 0.9409842 0.9276577 0 1 1 1 0.0723423
1.0000000 RU-PHEV Tue PS P100 Jun 0.9036751 0.0963249 0.9170016 0.9036751 0 1 1 1 0.0963249
1.0000000 RU-PHEV Wed PS P100 Jun 0.9125960 0.0874040 0.9259225 0.9125960 0 1 1 1 0.0874040
0.8245614 RU-PHEV Thu PS P100 Jun 0.9303923 -0.1058309 0.9437188 0.9303923 0 1 1 1 -0.1058309
1.0000000 RU-PHEV Fri PS P100 Jun 0.9429594 0.0570406 0.9562859 0.9429594 0 1 1 1 0.0570406
1.0000000 RU-PHEV Sat PS P100 Jun 0.9174506 0.0825494 0.9307770 0.9174506 0 1 1 1 0.0825494
1.0000000 RU-PHEV Sun VP P100 Jun 0.7749021 0.2250979 0.7882286 0.7749021 0 1 1 1 0.2250979
1.0000000 RU-PHEV Mon VP P100 Jun 0.8030659 0.1969341 0.8163924 0.8030659 0 1 1 1 0.1969341
0.9787234 RU-PHEV Tue VP P100 Jun 0.7790833 0.1996401 0.7924098 0.7790833 0 1 1 1 0.1996401
0.9080460 RU-PHEV Wed VP P100 Jun 0.7880041 0.1200418 0.8013306 0.7880041 0 1 1 1 0.1200418
1.0000000 RU-PHEV Thu VP P100 Jun 0.8058005 0.1941995 0.8191269 0.8058005 0 1 1 1 0.1941995
0.9591837 RU-PHEV Fri VP P100 Jun 0.8183676 0.1408161 0.8316940 0.8183676 0 1 1 1 0.1408161
0.8846154 RU-PHEV Sat VP P100 Jun 0.7928587 0.0917567 0.8061852 0.7928587 0 1 1 1 0.0917567
1.0000000 KL Mon J1 P70 Jun 0.8809946 0.1190054 0.8943211 0.8809946 0 1 1 1 0.1190054
1.0000000 KL Tue J1 P70 Jun 0.8570120 0.1429880 0.8703385 0.8570120 0 1 1 1 0.1429880
0.8730159 KL Wed J1 P70 Jun 0.8659329 0.0070830 0.8792594 0.8659329 0 1 1 1 0.0070830
0.9600000 KL Thu J1 P70 Jun 0.8837292 0.0762708 0.8970557 0.8837292 0 1 1 1 0.0762708
0.9583333 KL Fri J1 P70 Jun 0.8962963 0.0620370 0.9096228 0.8962963 0 1 1 1 0.0620370
0.0000000 BU Sun PS P70 Jun 0.6666073 -0.6666073 0.6799337 0.6666073 0 1 1 1 -0.6666073
0.5161290 BU Mon PS P70 Jun 0.6947710 -0.1786420 0.7080975 0.6947710 0 1 1 1 -0.1786420
1.0000000 M1 Mon PS P70 Jun 0.8886658 0.1113342 0.9019923 0.8886658 0 1 1 1 0.1113342
0.4444444 BU Tue PS P70 Jun 0.6707884 -0.2263440 0.6841149 0.6707884 0 1 1 1 -0.2263440
1.0000000 M1 Tue PS P70 Jun 0.8646832 0.1353168 0.8780097 0.8646832 0 1 1 1 0.1353168
0.8000000 BU Wed PS P70 Jun 0.6797093 0.1202907 0.6930358 0.6797093 0 1 1 1 0.1202907
1.0000000 M1 Wed PS P70 Jun 0.8736040 0.1263960 0.8869305 0.8736040 0 1 1 1 0.1263960
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1.0000000 M1 Thu PS P70 Jun 0.8914004 0.1085996 0.9047269 0.8914004 0 1 1 1 0.1085996
1.0000000 BU Fri PS P70 Jun 0.7100727 0.2899273 0.7233992 0.7100727 0 1 1 1 0.2899273
1.0000000 M1 Fri PS P70 Jun 0.9039675 0.0960325 0.9172939 0.9039675 0 1 1 1 0.0960325
1.0000000 BU Sat PS P70 Jun 0.6845639 0.3154361 0.6978903 0.6845639 0 1 1 1 0.3154361
1.0000000 KL Sun VP P70 Jun 0.8028437 0.1971563 0.8161702 0.8028437 0 1 1 1 0.1971563
0.0000000 M1 Sun VP P70 Jun 0.7359102 -0.7359102 0.7492366 0.7359102 0 1 1 1 -0.7359102
1.0000000 M6 Sun VP P70 Jun 0.5605049 0.4394951 0.5738314 0.5605049 0 1 1 1 0.4394951
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1.0000000 KL Mon VP P70 Jun 0.8310075 0.1689925 0.8443340 0.8310075 0 1 1 1 0.1689925
0.5384615 M1 Mon VP P70 Jun 0.7640739 -0.2256124 0.7774004 0.7640739 0 1 1 1 -0.2256124
1.0000000 M6 Mon VP P70 Jun 0.5886687 0.4113313 0.6019952 0.5886687 0 1 1 1 0.4113313
0.4736842 MP Mon VP P70 Jun 0.7063266 -0.2326424 0.7196531 0.7063266 0 1 1 1 -0.2326424
0.8666667 KL Tue VP P70 Jun 0.8070249 0.0596418 0.8203514 0.8070249 0 1 1 1 0.0596418
1.0000000 M1 Tue VP P70 Jun 0.7400913 0.2599087 0.7534178 0.7400913 0 1 1 1 0.2599087
0.9157895 M6 Tue VP P70 Jun 0.5646861 0.3511034 0.5780126 0.5646861 0 1 1 1 0.3511034
0.7500000 MP Tue VP P70 Jun 0.6823440 0.0676560 0.6956705 0.6823440 0 1 1 1 0.0676560
0.9642857 KL Wed VP P70 Jun 0.8159458 0.1483399 0.8292723 0.8159458 0 1 1 1 0.1483399
1.0000000 M1 Wed VP P70 Jun 0.7490122 0.2509878 0.7623387 0.7490122 0 1 1 1 0.2509878
0.9047619 M6 Wed VP P70 Jun 0.5736069 0.3311550 0.5869334 0.5736069 0 1 1 1 0.3311550
0.6744186 MP Wed VP P70 Jun 0.6912649 -0.0168463 0.7045914 0.6912649 0 1 1 1 -0.0168463
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0.8333333 M1 Thu VP P70 Jun 0.7668085 0.0665248 0.7801350 0.7668085 0 1 1 1 0.0665248
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1.0000000 M1 Fri VP P70 Jun 0.7793756 0.2206244 0.7927021 0.7793756 0 1 1 1 0.2206244
0.9708029 M6 Fri VP P70 Jun 0.6039704 0.3668326 0.6172968 0.6039704 0 1 1 1 0.3668326
0.7500000 MP Fri VP P70 Jun 0.7216283 0.0283717 0.7349548 0.7216283 0 1 1 1 0.0283717
0.9200000 KL Sat VP P70 Jun 0.8208003 0.0991997 0.8341268 0.8208003 0 1 1 1 0.0991997
1.0000000 M1 Sat VP P70 Jun 0.7538668 0.2461332 0.7671932 0.7538668 0 1 1 1 0.2461332
0.7000000 M6 Sat VP P70 Jun 0.5784615 0.1215385 0.5917880 0.5784615 0 1 1 1 0.1215385
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1.0000000 RU-PHEV Thu PS P100 Jun 0.9303923 0.0696077 0.9437188 0.9303923 0 1 1 1 0.0696077
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1.0000000 RU-PHEV Sat PS P100 Jun 0.9174506 0.0825494 0.9307770 0.9174506 0 1 1 1 0.0825494
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0.6174402 DT Sat Proto P100 Jul 0.5292002 0.0882400 0.5804017 0.5292002 0 1 1 1 0.0882400
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0.0000000 M6 Fri VP P100 Jul 0.5501921 -0.5501921 0.6013936 0.5501921 0 1 1 1 -0.5501921
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0.5384615 KL Sat VP P100 Jul 0.7670221 -0.2285606 0.8182236 0.7670221 0 1 1 1 -0.2285606
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0.4123711 JL Sun VP(B) P100 Jul 0.5163673 -0.1039962 0.5675688 0.5163673 0 1 1 1 -0.1039962
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0.2750000 BU Mon J1 P70 Jul 0.5822913 -0.3072913 0.6334928 0.5822913 0 1 1 1 -0.3072913
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0.2857143 BU Wed J1 P70 Jul 0.5672295 -0.2815152 0.6184310 0.5672295 0 1 1 1 -0.2815152
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0.6666667 BU Fri J1 P70 Jul 0.5975929 0.0690737 0.6487944 0.5975929 0 1 1 1 0.0690737
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0.9090909 WK Mon VP P70 Jul 0.8177320 0.0913589 0.8689335 0.8177320 0 1 1 1 0.0913589
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0.5000000 KL Sat VP P70 Jul 0.7829253 -0.2829253 0.8341268 0.7829253 0 1 1 1 -0.2829253
0.8424242 M1 Sat VP P70 Jul 0.7159917 0.1264325 0.7671932 0.7159917 0 1 1 1 0.1264325
1.0000000 M6 Sat VP P70 Jul 0.5405865 0.4594135 0.5917880 0.5405865 0 1 1 1 0.4594135
0.6610169 RU Sat VP P70 Jul 0.8343558 -0.1733388 0.8855573 0.8343558 0 1 1 1 -0.1733388
0.0000000 RU-PHEV Sat VP P70 Jul 0.7708869 -0.7708869 0.8220884 0.7708869 0 1 1 1 -0.7708869
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0.6241611 KL Tue Mule P85 Jul 0.5932294 0.0309317 0.6444309 0.5932294 0 1 1 1 0.0309317
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0.5797101 DT Mon Proto P85 Jul 0.5602329 0.0194772 0.6114344 0.5602329 0 1 1 1 0.0194772
1.0000000 K8 Mon Proto P85 Jul 0.4520453 0.5479547 0.5032467 0.4520453 0 1 1 1 0.5479547
0.4581673 DT Tue Proto P85 Jul 0.5362503 -0.0780830 0.5874518 0.5362503 0 1 1 1 -0.0780830
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0.5760417 DT Fri Proto P85 Jul 0.5755346 0.0005071 0.6267361 0.5755346 0 1 1 1 0.0005071
0.7150838 DT Sat Proto P85 Jul 0.5500257 0.1650581 0.6012272 0.5500257 0 1 1 1 0.1650581
1.0000000 M1 Sun VP P85 Jul 0.7029575 0.2970425 0.7541590 0.7029575 0 1 1 1 0.2970425
1.0000000 M1 Sat VP P85 Jul 0.7209141 0.2790859 0.7721156 0.7209141 0 1 1 1 0.2790859
0.5583239 RU-PHEV Sun J1 P100 Jul 0.7870142 -0.2286903 0.8382157 0.7870142 0 1 1 1 -0.2286903
0.9032258 RU-PHEV Mon J1 P100 Jul 0.8151780 0.0880478 0.8663795 0.8151780 0 1 1 1 0.0880478
0.9545455 RU-PHEV Tue J1 P100 Jul 0.7911954 0.1633501 0.8423969 0.7911954 0 1 1 1 0.1633501
0.9130435 RU-PHEV Wed J1 P100 Jul 0.8001162 0.1129273 0.8513177 0.8001162 0 1 1 1 0.1129273
0.9220779 RU-PHEV Thu J1 P100 Jul 0.8179126 0.1041654 0.8691140 0.8179126 0 1 1 1 0.1041654
0.6036240 RU-PHEV Fri J1 P100 Jul 0.8304796 -0.2268556 0.8816811 0.8304796 0 1 1 1 -0.2268556
0.5609756 RU-PHEV Sat J1 P100 Jul 0.8049708 -0.2439952 0.8561723 0.8049708 0 1 1 1 -0.2439952
0.8249300 RU-PHEV Sun PS P100 Jul 0.8616189 -0.0366890 0.9128204 0.8616189 0 1 1 1 -0.0366890
0.9642857 RU-PHEV Mon PS P100 Jul 0.8897827 0.0745030 0.9409842 0.8897827 0 1 1 1 0.0745030
0.9226804 RU-PHEV Tue PS P100 Jul 0.8658001 0.0568803 0.9170016 0.8658001 0 1 1 1 0.0568803
0.8111111 RU-PHEV Wed PS P100 Jul 0.8747210 -0.0636099 0.9259225 0.8747210 0 1 1 1 -0.0636099
0.6969697 RU-PHEV Thu PS P100 Jul 0.8925173 -0.1955476 0.9437188 0.8925173 0 1 1 1 -0.1955476
0.8657244 RU-PHEV Fri PS P100 Jul 0.9050844 -0.0393600 0.9562859 0.9050844 0 1 1 1 -0.0393600
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0.5498392 RU-PHEV Sun J1 P100 Aug 0.8116614 -0.2618222 0.8382157 0.8116614 0 1 1 1 -0.2618222
1.0000000 RU-PHEV Mon J1 P100 Aug 0.8398252 0.1601748 0.8663795 0.8398252 0 1 1 1 0.1601748
0.9285714 RU-PHEV Tue J1 P100 Aug 0.8158426 0.1127289 0.8423969 0.8158426 0 1 1 1 0.1127289
0.8828829 RU-PHEV Wed J1 P100 Aug 0.8247634 0.0581195 0.8513177 0.8247634 0 1 1 1 0.0581195
0.9491525 RU-PHEV Thu J1 P100 Aug 0.8425598 0.1065928 0.8691140 0.8425598 0 1 1 1 0.1065928
0.8865979 RU-PHEV Fri J1 P100 Aug 0.8551268 0.0314711 0.8816811 0.8551268 0 1 1 1 0.0314711
0.7500000 RU-PHEV Sat J1 P100 Aug 0.8296180 -0.0796180 0.8561723 0.8296180 0 1 1 1 -0.0796180
1.0000000 RU-PHEV Sun PS P100 Aug 0.8862661 0.1137339 0.9128204 0.8862661 0 1 1 1 0.1137339
1.0000000 RU-PHEV Mon PS P100 Aug 0.9144299 0.0855701 0.9409842 0.9144299 0 1 1 1 0.0855701
0.8409091 RU-PHEV Tue PS P100 Aug 0.8904473 -0.0495382 0.9170016 0.8904473 0 1 1 1 -0.0495382
0.9062500 RU-PHEV Wed PS P100 Aug 0.8993682 0.0068818 0.9259225 0.8993682 0 1 1 1 0.0068818
0.8888889 RU-PHEV Thu PS P100 Aug 0.9171645 -0.0282756 0.9437188 0.9171645 0 1 1 1 -0.0282756
1.0000000 RU-PHEV Fri PS P100 Aug 0.9297316 0.0702684 0.9562859 0.9297316 0 1 1 1 0.0702684
1.0000000 RU-PHEV Sat PS P100 Aug 0.9042227 0.0957773 0.9307770 0.9042227 0 1 1 1 0.0957773
0.8367347 RU-PHEV Sun VP P100 Aug 0.7616743 0.0750604 0.7882286 0.7616743 0 1 1 1 0.0750604
0.9583333 RU-PHEV Mon VP P100 Aug 0.7898381 0.1684953 0.8163924 0.7898381 0 1 1 1 0.1684953
0.5714286 RU-PHEV Tue VP P100 Aug 0.7658555 -0.1944269 0.7924098 0.7658555 0 1 1 1 -0.1944269
0.7500000 RU-PHEV Wed VP P100 Aug 0.7747763 -0.0247763 0.8013306 0.7747763 0 1 1 1 -0.0247763
0.6190476 RU-PHEV Thu VP P100 Aug 0.7925726 -0.1735250 0.8191269 0.7925726 0 1 1 1 -0.1735250
0.8750000 RU-PHEV Fri VP P100 Aug 0.8051397 0.0698603 0.8316940 0.8051397 0 1 1 1 0.0698603
0.9333333 RU-PHEV Sat VP P100 Aug 0.7796309 0.1537025 0.8061852 0.7796309 0 1 1 1 0.1537025
0.7096774 M1 Sun PS P70 Aug 0.8472742 -0.1375968 0.8738285 0.8472742 0 1 1 1 -0.1375968
0.7916667 M1 Mon PS P70 Aug 0.8754380 -0.0837713 0.9019923 0.8754380 0 1 1 1 -0.0837713
0.9285714 M1 Tue PS P70 Aug 0.8514554 0.0771161 0.8780097 0.8514554 0 1 1 1 0.0771161
0.7000000 M1 Wed PS P70 Aug 0.8603762 -0.1603762 0.8869305 0.8603762 0 1 1 1 -0.1603762
1.0000000 BU Thu PS P70 Aug 0.6842778 0.3157222 0.7108321 0.6842778 0 1 1 1 0.3157222
1.0000000 M1 Thu PS P70 Aug 0.8781726 0.1218274 0.9047269 0.8781726 0 1 1 1 0.1218274
0.8000000 BU Fri PS P70 Aug 0.6968449 0.1031551 0.7233992 0.6968449 0 1 1 1 0.1031551
1.0000000 M1 Fri PS P70 Aug 0.8907397 0.1092603 0.9172939 0.8907397 0 1 1 1 0.1092603
0.7777778 M1 Sat PS P70 Aug 0.8652308 -0.0874530 0.8917851 0.8652308 0 1 1 1 -0.0874530
0.8571429 KL Sun VP P70 Aug 0.7896159 0.0675269 0.8161702 0.7896159 0 1 1 1 0.0675269
1.0000000 KL Mon VP P70 Aug 0.8177797 0.1822203 0.8443340 0.8177797 0 1 1 1 0.1822203
0.9444444 KL Tue VP P70 Aug 0.7937971 0.1506473 0.8203514 0.7937971 0 1 1 1 0.1506473
1.0000000 KL Wed VP P70 Aug 0.8027180 0.1972820 0.8292723 0.8027180 0 1 1 1 0.1972820
1.0000000 KL Thu VP P70 Aug 0.8205143 0.1794857 0.8470686 0.8205143 0 1 1 1 0.1794857
1.0000000 KL Fri VP P70 Aug 0.8330814 0.1669186 0.8596357 0.8330814 0 1 1 1 0.1669186
0.8888889 KL Sat VP P70 Aug 0.8075725 0.0813164 0.8341268 0.8075725 0 1 1 1 0.0813164
1.0000000 RU-PHEV Sun J1 P70 Aug 0.8275646 0.1724354 0.8541189 0.8275646 0 1 1 1 0.1724354
0.9875000 RU-PHEV Mon J1 P70 Aug 0.8557284 0.1317716 0.8822827 0.8557284 0 1 1 1 0.1317716
0.9425000 RU-PHEV Tue J1 P70 Aug 0.8317458 0.1107542 0.8583001 0.8317458 0 1 1 1 0.1107542
0.9310345 RU-PHEV Wed J1 P70 Aug 0.8406666 0.0903678 0.8672209 0.8406666 0 1 1 1 0.0903678
0.9689922 RU-PHEV Thu J1 P70 Aug 0.8584630 0.1105293 0.8850173 0.8584630 0 1 1 1 0.1105293
0.9722222 RU-PHEV Fri J1 P70 Aug 0.8710301 0.1011922 0.8975843 0.8710301 0 1 1 1 0.1011922
0.9800000 RU-PHEV Sat J1 P70 Aug 0.8455212 0.1344788 0.8720755 0.8455212 0 1 1 1 0.1344788
0.9878049 RU-PHEV Sun PS P70 Aug 0.9021694 0.0856355 0.9287237 0.9021694 0 1 1 1 0.0856355
1.0000000 RU-PHEV Mon PS P70 Aug 0.9303331 0.0696669 0.9568874 0.9303331 0 1 1 1 0.0696669
0.9479167 RU-PHEV Tue PS P70 Aug 0.9063505 0.0415661 0.9329048 0.9063505 0 1 1 1 0.0415661
0.9767442 RU-PHEV Wed PS P70 Aug 0.9152714 0.0614728 0.9418257 0.9152714 0 1 1 1 0.0614728
0.7272727 RU-PHEV Thu PS P70 Aug 0.9330677 -0.2057950 0.9596220 0.9330677 0 1 1 1 -0.2057950
0.8888889 RU-PHEV Fri PS P70 Aug 0.9456348 -0.0567459 0.9721891 0.9456348 0 1 1 1 -0.0567459
1.0000000 RU-PHEV Sat PS P70 Aug 0.9201259 0.0798741 0.9466802 0.9201259 0 1 1 1 0.0798741
1.0000000 RU-PHEV Sun VP P70 Aug 0.7775775 0.2224225 0.8041318 0.7775775 0 1 1 1 0.2224225
1.0000000 RU-PHEV Fri VP P70 Aug 0.8210430 0.1789570 0.8475972 0.8210430 0 1 1 1 0.1789570
1.0000000 RU-PHEV Sat VP P70 Aug 0.7955341 0.2044659 0.8220884 0.7955341 0 1 1 1 0.2044659 
broom::confint_tidy(blmer1)%>%knitr::kable()
conf.low conf.high
0.0142620 0.0609207
0.2301380 0.2466146
0.1716578 0.5278163
0.0884267 0.3745952
0.2494629 0.6101790
0.5677207 1.0066452
0.3557721 0.8697215
0.2776560 0.5895776
0.4374845 0.7400907
0.2827722 0.5700228
0.2184250 0.5562099
0.1679325 0.4875446
0.3645526 0.6229316
0.2256741 0.5323221
0.3769493 0.6824623
0.2954920 0.5604105
0.3661147 0.6475812
0.1003499 0.3969355
0.2397379 0.5023911
0.3995530 0.6930104
0.3525908 0.6083984
-0.9177516 0.0501686
0.2086433 0.5197268
0.3316987 0.6209912
-0.3082622 0.0319246
0.3772567 0.6594399
-0.0584472 0.0278254
-0.0695045 0.0184359
-0.0874859 0.0005746
-0.0555422 0.0303778
-0.0822764 0.0037084
-0.0732375 0.0126228
-0.1962236 0.2069092
-0.0806496 0.1794644
-0.3064476 -0.0523274
-0.1273218 0.2238407
-0.3074778 -0.0490343
0.0004099 0.2488394
-0.3419994 0.1148016
-0.1172693 0.1182784
-0.3314168 -0.0067782
-0.0173805 0.0477335
-0.0404570 0.0796284 
broom::glance(blmer1)
## Warning in deviance.merMod(x): deviance() is deprecated for REML fits;
## use REMLcrit for the REML criterion or deviance(.,REML=FALSE) for deviance
## calculated at the REML fit
aug1=broom::augment_columns(blmer1,CPGUptimeData)


fit2=blme::bglmer(CPG_Uptime~vehicle_family_ref+Day_of_Week+build_phase+priority_category_cd+(1|Month), data = CPGUptimeData,cov.prior=gamma)
## Warning in blme::bglmer(CPG_Uptime ~ vehicle_family_ref + Day_of_Week
## + : calling glmer() with family=gaussian (identity link) as a shortcut to
## lmer() is deprecated; please call lmer() directly
summary(fit2)
## Linear mixed model fit by REML ['lmerMod']
## Formula: CPG_Uptime ~ vehicle_family_ref + Day_of_Week + build_phase +  
##     priority_category_cd + (1 | Month)
##    Data: CPGUptimeData
## 
## REML criterion at convergence: 156.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.0763 -0.4360  0.2236  0.6094  3.2579 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Month    (Intercept) 0.001135 0.03369 
##  Residual             0.058147 0.24114 
## Number of obs: 1616, groups:  Month, 8
## 
## Fixed effects:
##                            Estimate Std. Error t value
## (Intercept)                0.348327   0.091933   3.789
## vehicle_family_refBU       0.232622   0.073809   3.152
## vehicle_family_refDJ       0.430251   0.093114   4.621
## vehicle_family_refDP       0.787322   0.113364   6.945
## vehicle_family_refDS       0.611674   0.132651   4.611
## vehicle_family_refDT       0.434854   0.080464   5.404
## vehicle_family_refJK       0.589925   0.078062   7.557
## vehicle_family_refJL       0.427366   0.074110   5.767
## vehicle_family_refK4       0.386302   0.087181   4.431
## vehicle_family_refK8       0.328160   0.082525   3.976
## vehicle_family_refKL       0.494339   0.066716   7.410
## vehicle_family_refLA       0.378555   0.079176   4.781
## vehicle_family_refLX       0.529040   0.078865   6.708
## vehicle_family_refM1       0.428136   0.068441   6.256
## vehicle_family_refM4       0.506570   0.072665   6.971
## vehicle_family_refM6       0.250239   0.076385   3.276
## vehicle_family_refMP       0.370941   0.067823   5.469
## vehicle_family_refRU       0.546480   0.075810   7.209
## vehicle_family_refRU-PHEV  0.481533   0.065967   7.300
## vehicle_family_refUF      -0.436071   0.249771  -1.746
## vehicle_family_refVM       0.364778   0.080349   4.540
## vehicle_family_refWD       0.476274   0.074736   6.373
## vehicle_family_refWD-SRT  -0.138763   0.087839  -1.580
## vehicle_family_refWK       0.518939   0.072878   7.121
## Day_of_WeekMon            -0.015307   0.022273  -0.687
## Day_of_WeekSat            -0.025525   0.022703  -1.124
## Day_of_WeekSun            -0.043459   0.022734  -1.912
## Day_of_WeekThu            -0.012577   0.022181  -0.567
## Day_of_WeekTue            -0.039284   0.022198  -1.770
## Day_of_WeekWed            -0.030328   0.022166  -1.368
## build_phaseComp Veh        0.006776   0.103966   0.065
## build_phaseJ1              0.050578   0.067043   0.754
## build_phaseMule           -0.178961   0.065629  -2.727
## build_phaseMule 2          0.048739   0.090719   0.537
## build_phaseProto          -0.177752   0.066728  -2.664
## build_phasePS              0.125567   0.064076   1.960
## build_phaseV2             -0.113999   0.117925  -0.967
## build_phaseVP              0.001277   0.060774   0.021
## build_phaseVP(B)          -0.167117   0.083503  -2.001
## priority_category_cdP70    0.015445   0.016783   0.920
## priority_category_cdP85    0.020044   0.030958   0.647
## 
## Correlation matrix not shown by default, as p = 41 > 12.
## Use print(x, correlation=TRUE)  or
##   vcov(x)     if you need it
bm1=blmer(CPG_Uptime~vehicle_family_ref+Day_of_Week+build_phase+priority_category_cd+(1|Month), data = CPGUptimeData,cov.prior=wishart,
      fixef.prior = normal,resid.prior =gamma,REML=FALSE)

summary(bm1)
## Cov prior  : Month ~ wishart(df = 3.5, scale = Inf, posterior.scale = cov, common.scale = TRUE)
## Fixef prior: normal(sd = c(10, 2.5, ...), corr = c(0 ...), common.scale = TRUE)
## Resid prior: gamma(shape = 0, rate = 0, posterior.scale = var)
## Prior dev  : 44.7564
## 
## Linear mixed model fit by maximum likelihood  ['blmerMod']
## Formula: CPG_Uptime ~ vehicle_family_ref + Day_of_Week + build_phase +  
##     priority_category_cd + (1 | Month)
##    Data: CPGUptimeData
## 
##      AIC      BIC   logLik deviance df.resid 
##     48.5    280.2     18.8    -37.5     1573 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.1833 -0.4517  0.2261  0.6253  3.2062 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  Month    (Intercept) 0.001292 0.03595 
##  Residual             0.055575 0.23574 
## Number of obs: 1616, groups:  Month, 8
## 
## Fixed effects:
##                            Estimate Std. Error t value
## (Intercept)                0.435708   0.082767   5.264
## vehicle_family_refBU       0.155102   0.066762   2.323
## vehicle_family_refDJ       0.345053   0.085915   4.016
## vehicle_family_refDP       0.681829   0.104926   6.498
## vehicle_family_refDS       0.509832   0.122586   4.159
## vehicle_family_refDT       0.342537   0.072092   4.751
## vehicle_family_refJK       0.503761   0.070369   7.159
## vehicle_family_refJL       0.337593   0.065677   5.140
## vehicle_family_refK4       0.299920   0.079817   3.758
## vehicle_family_refK8       0.237432   0.074448   3.189
## vehicle_family_refKL       0.411421   0.058697   7.009
## vehicle_family_refLA       0.293160   0.071630   4.093
## vehicle_family_refLX       0.441479   0.071042   6.214
## vehicle_family_refM1       0.344115   0.060394   5.698
## vehicle_family_refM4       0.422503   0.064988   6.501
## vehicle_family_refM6       0.165921   0.068617   2.418
## vehicle_family_refMP       0.287449   0.059829   4.805
## vehicle_family_refRU       0.460522   0.068063   6.766
## vehicle_family_refRU-PHEV  0.400962   0.058153   6.895
## vehicle_family_refUF      -0.438064   0.224661  -1.950
## vehicle_family_refVM       0.279795   0.072797   3.843
## vehicle_family_refWD       0.390291   0.066818   5.841
## vehicle_family_refWD-SRT  -0.193747   0.082653  -2.344
## vehicle_family_refWK       0.434217   0.065044   6.676
## Day_of_WeekMon            -0.015147   0.021741  -0.697
## Day_of_WeekSat            -0.025726   0.022158  -1.161
## Day_of_WeekSun            -0.043240   0.022192  -1.948
## Day_of_WeekThu            -0.012580   0.021652  -0.581
## Day_of_WeekTue            -0.039079   0.021669  -1.803
## Day_of_WeekWed            -0.030385   0.021637  -1.404
## build_phaseComp Veh       -0.031783   0.097923  -0.325
## build_phaseJ1              0.034678   0.062880   0.551
## build_phaseMule           -0.178986   0.061784  -2.897
## build_phaseMule 2          0.052663   0.086374   0.610
## build_phaseProto          -0.172505   0.062863  -2.744
## build_phasePS              0.121660   0.060201   2.021
## build_phaseV2             -0.111661   0.112443  -0.993
## build_phaseVP             -0.001717   0.056984  -0.030
## build_phaseVP(B)          -0.163173   0.079405  -2.055
## priority_category_cdP70    0.014120   0.016377   0.862
## priority_category_cdP85    0.017395   0.030185   0.576
## 
## Correlation matrix not shown by default, as p = 41 > 12.
## Use print(x, correlation=TRUE)  or
##   vcov(x)     if you need it
tval=tidy(blmer1)[4]

pvall=2*pnorm(abs(tval$statistic), lower.tail = FALSE)
pvall%>%knitr::kable()
## Warning in kable_markdown(x = structure(c("0.0001805", "0.0014945",
## "0.0000036", : The table should have a header (column names)
0.0001805
0.0014945
0.0000036
0.0000000
0.0000043
0.0000001
0.0000000
0.0000000
0.0000105
0.0000673
0.0000000
0.0000018
0.0000000
0.0000000
0.0000000
0.0009350
0.0000000
0.0000000
0.0000000
0.0780687
0.0000054
0.0000000
0.1116956
0.0000000
0.4918241
0.2609118
0.0557445
0.5707896
0.0766076
0.1704979
0.9292649
0.4327216
0.0066555
0.5851810
0.0080545
0.0472160
0.3305363
0.9653597
0.0499161
0.3432258
0.5010087
NA
NA 
car::Anova(blmer1)
DT::datatable(cbind(coef(summary(blmer1)),Pvalue=pvall))
## Warning in cbind(coef(summary(blmer1)), Pvalue = pvall): number of rows of
## result is not a multiple of vector length (arg 2)
bm2=blmer(CPG_Uptime~Month+Day_of_Week+build_phase+priority_category_cd+(1|vehicle_family_ref), data = CPGUptimeData,cov.prior=wishart,
      fixef.prior = normal,resid.prior =gamma,REML=FALSE)


tval=tidy(bm2)[4]

pvall=2*pnorm(abs(tval$statistic), lower.tail = FALSE)
pvall%>%knitr::kable()
## Warning in kable_markdown(x = structure(c("0.0000000", "0.0005496",
## "0.0129747", : The table should have a header (column names)
0.0000000
0.0005496
0.0129747
0.0312286
0.0000016
0.0021829
0.2841376
0.0730127
0.5046006
0.2177767
0.0541379
0.5744851
0.0772813
0.1645809
0.3551371
0.7018017
0.0022815
0.5934953
0.0045204
0.0603266
0.2890802
0.8402182
0.0423590
0.4141726
0.6183216
NA
NA 
car::Anova(bm2)
DT::datatable(cbind(coef(summary(bm2)),Pvalue=pvall))
## Warning in cbind(coef(summary(bm2)), Pvalue = pvall): number of rows of
## result is not a multiple of vector length (arg 2)
summary(bm2)
## Cov prior  : vehicle_family_ref ~ wishart(df = 3.5, scale = Inf, posterior.scale = cov, common.scale = TRUE)
## Fixef prior: normal(sd = c(10, 2.5, ...), corr = c(0 ...), common.scale = TRUE)
## Resid prior: gamma(shape = 0, rate = 0, posterior.scale = var)
## Prior dev  : 18.329
## 
## Linear mixed model fit by maximum likelihood  ['blmerMod']
## Formula: 
## CPG_Uptime ~ Month + Day_of_Week + build_phase + priority_category_cd +  
##     (1 | vehicle_family_ref)
##    Data: CPGUptimeData
## 
##      AIC      BIC   logLik deviance df.resid 
##     99.9    245.4    -23.0     45.9     1589 
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -4.1839 -0.4634  0.2233  0.6187  2.9188 
## 
## Random effects:
##  Groups             Name        Variance Std.Dev.
##  vehicle_family_ref (Intercept) 0.03374  0.1837  
##  Residual                       0.05650  0.2377  
## Number of obs: 1616, groups:  vehicle_family_ref, 24
## 
## Fixed effects:
##                         Estimate Std. Error t value
## (Intercept)              0.81682    0.06759  12.085
## MonthAug                -0.09260    0.02680  -3.455
## MonthFeb                -0.06476    0.02606  -2.484
## MonthJan                -0.06017    0.02793  -2.154
## MonthJul                -0.11973    0.02498  -4.793
## MonthJun                -0.07603    0.02481  -3.064
## MonthMar                -0.02569    0.02399  -1.071
## MonthMay                -0.04412    0.02461  -1.793
## Day_of_WeekMon          -0.01463    0.02192  -0.667
## Day_of_WeekSat          -0.02752    0.02233  -1.232
## Day_of_WeekSun          -0.04309    0.02237  -1.926
## Day_of_WeekThu          -0.01226    0.02183  -0.561
## Day_of_WeekTue          -0.03860    0.02185  -1.767
## Day_of_WeekWed          -0.03032    0.02182  -1.390
## build_phaseComp Veh     -0.08818    0.09536  -0.925
## build_phaseJ1            0.02376    0.06206   0.383
## build_phaseMule         -0.18634    0.06108  -3.051
## build_phaseMule 2        0.04617    0.08650   0.534
## build_phaseProto        -0.17483    0.06157  -2.839
## build_phasePS            0.11112    0.05916   1.878
## build_phaseV2           -0.11942    0.11264  -1.060
## build_phaseVP           -0.01128    0.05595  -0.202
## build_phaseVP(B)        -0.16067    0.07915  -2.030
## priority_category_cdP70  0.01339    0.01640   0.817
## priority_category_cdP85  0.01508    0.03026   0.498
## 
## Correlation matrix not shown by default, as p = 25 > 12.
## Use print(x, correlation=TRUE)  or
##   vcov(x)     if you need it
stopCluster(cl) # shut down the cluster