R_basic3
York Lin
2020年01月30日
p90 practice
match_func = function(filename,header=F,sep='|'){
match = read.table(filename,header = header,sep=sep)
mat = matrix(data=rep(-1,25),nrow=5)
rownames(mat) = c("A","B","C","D","E")
colnames(mat) = c("A","B","C","D","E")
for (i in 1:nrow(match)){
mat[match[i,1],match[i,2]] = match[i,3]
}
return(mat)
}
match_func = function(filename,header,sep){
match_df = read.table(filename,header = header,sep=sep)
mat = matrix(data=-1,nrow=length(levels(match_df[,1])),ncol=length(levels(match_df[,2])),dimnames = list(levels(match_df[,1]),levels(match_df[,2])))
for(i in 1:nrow(match_df)){
mat[match_df[i,1],match_df[i,2]] = match_df[i,3]
}
return(mat)
}統計圖
setwd("~/lecture/riii")
load("./Statistics/cdc.Rdata")
cdc$exerany = as.factor(cdc$exerany)
cdc$hlthplan = as.factor(cdc$hlthplan)
cdc$smoke100 = as.factor(cdc$smoke100)
str(cdc)## 'data.frame': 20000 obs. of 9 variables:
## $ genhlth : Factor w/ 5 levels "excellent","very good",..: 3 3 3 3 2 2 2 2 3 3 ...
## $ exerany : Factor w/ 2 levels "0","1": 1 1 2 2 1 2 2 1 1 2 ...
## $ hlthplan: Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
## $ smoke100: Factor w/ 2 levels "0","1": 1 2 2 1 1 1 1 1 2 1 ...
## $ height : num 70 64 60 66 61 64 71 67 65 70 ...
## $ weight : int 175 125 105 132 150 114 194 170 150 180 ...
## $ wtdesire: int 175 115 105 124 130 114 185 160 130 170 ...
## $ age : int 77 33 49 42 55 55 31 45 27 44 ...
## $ gender : Factor w/ 2 levels "m","f": 1 2 2 2 2 2 1 1 2 1 ...#屬貭資料
#長條圖
barplot(table(cdc$smoke100))
?barplot
barplot(table(cdc$smoke100),xlab='有無吸菸',ylab='人數',main='有無吸菸習慣',col='blue',family="Songti SC")
#圓餅圖
pie(table(cdc$smoke100))
pie(table(cdc$genhlth))
# col參數可以帶入index,字串,色碼
pie(table(cdc$genhlth),col = rainbow(5))
pie(table(cdc$genhlth),col = c(1,2,3,4,5))
pie(table(cdc$genhlth),col=c("black","red","green","blue","yellow"))
rainbow(5)## [1] "#FF0000FF" "#CCFF00FF" "#00FF66FF" "#0066FFFF" "#CC00FFFF"#加上各分類比例
pct = round(table(cdc$genhlth) / length(cdc$genhlth) *100,1)
labels = paste(names(pct),pct,"%")
pie(table(cdc$genhlth), labels = labels)
#馬賽克圖
gender_smokers = table(cdc$gender,cdc$smoke100)
mosaicplot(gender_smokers)
統計圖(續)
#屬量資料
#直方圖
hist(cdc$height)
par(mfrow=c(1,3))
hist(cdc$height)
hist(cdc$height,breaks = 30)
hist(cdc$height,breaks = 50)
#莖葉圖
stem(cdc$age)##
## The decimal point is 1 digit(s) to the right of the |
##
## 1 | 88888888888888888888888888888888888888888888888888888888888888888888+509
## 2 | 00000000000000000000000000000000000000000000000000000000000000000000+1694
## 2 | 55555555555555555555555555555555555555555555555555555555555555555555+1835
## 3 | 00000000000000000000000000000000000000000000000000000000000000000000+1954
## 3 | 55555555555555555555555555555555555555555555555555555555555555555555+2154
## 4 | 00000000000000000000000000000000000000000000000000000000000000000000+2109
## 4 | 55555555555555555555555555555555555555555555555555555555555555555555+1842
## 5 | 00000000000000000000000000000000000000000000000000000000000000000000+1578
## 5 | 55555555555555555555555555555555555555555555555555555555555555555555+1224
## 6 | 00000000000000000000000000000000000000000000000000000000000000000000+969
## 6 | 55555555555555555555555555555555555555555555555555555555555555555555+975
## 7 | 00000000000000000000000000000000000000000000000000000000000000000000+889
## 7 | 55555555555555555555555555555555555555555555555555555555555555555555+614
## 8 | 00000000000000000000000000000000000000000000000000000000000000000000+344
## 8 | 55555555555555555555555555555555555555555555555555555555566666666666+69
## 9 | 00000000011111111112222223333333444
## 9 | 556799tmp=sample(cdc$age,100)
stem(sample(cdc$age,100))##
## The decimal point is 1 digit(s) to the right of the |
##
## 1 | 889
## 2 | 0025566677778
## 3 | 000222244445557788899999
## 4 | 0002233344556778899
## 5 | 00111112334556678899
## 6 | 112223444567999
## 7 | 044455?stem
stem(sample(cdc$age,100),scale=2)##
## The decimal point is 1 digit(s) to the right of the |
##
## 1 | 8
## 2 | 0001224444
## 2 | 566677888899999
## 3 | 22234444
## 3 | 556678889
## 4 | 0000000112333
## 4 | 555556678889
## 5 | 0000011224
## 5 | 669
## 6 | 00013
## 6 | 6788
## 7 | 0223
## 7 | 5678
## 8 | 00#盒鬚圖
par(mfrow=c(1,1))
boxplot(cdc$weight)
boxplot(cdc$weight, horizontal=TRUE)
boxplot(cdc$weight ~ cdc$gender)
boxplot(cdc$height ~ cdc$gender)
bmi = (cdc$weight/cdc$height^2) * 703
boxplot(bmi ~ cdc$genhlth)
#觀察兩組資料間關係:點散布圖
plot(cdc$weight, cdc$height)
plot(cdc$weight, cdc$wtdesire)
plot(cdc[,c('height','weight','wtdesire')])
png(filename='./test123.png')
plot(cdc$weight, cdc$height)
dev.off()## quartz_off_screen
## 2data explorer
create_report() error 99 problem
downgrade pandoc 2.7 -> 2.6
#install.packages('DataExplorer')
library('DataExplorer')
help(package = 'DataExplorer')
introduce(iris)## rows columns discrete_columns continuous_columns all_missing_columns
## 1 150 5 1 4 0
## total_missing_values total_observations memory_usage
## 1 0 750 7256dummify(iris)## Sepal.Length Sepal.Width Petal.Length Petal.Width Species_setosa
## 1 5.1 3.5 1.4 0.2 1
## 2 4.9 3.0 1.4 0.2 1
## 3 4.7 3.2 1.3 0.2 1
## 4 4.6 3.1 1.5 0.2 1
## 5 5.0 3.6 1.4 0.2 1
## 6 5.4 3.9 1.7 0.4 1
## 7 4.6 3.4 1.4 0.3 1
## 8 5.0 3.4 1.5 0.2 1
## 9 4.4 2.9 1.4 0.2 1
## 10 4.9 3.1 1.5 0.1 1
## 11 5.4 3.7 1.5 0.2 1
## 12 4.8 3.4 1.6 0.2 1
## 13 4.8 3.0 1.4 0.1 1
## 14 4.3 3.0 1.1 0.1 1
## 15 5.8 4.0 1.2 0.2 1
## 16 5.7 4.4 1.5 0.4 1
## 17 5.4 3.9 1.3 0.4 1
## 18 5.1 3.5 1.4 0.3 1
## 19 5.7 3.8 1.7 0.3 1
## 20 5.1 3.8 1.5 0.3 1
## 21 5.4 3.4 1.7 0.2 1
## 22 5.1 3.7 1.5 0.4 1
## 23 4.6 3.6 1.0 0.2 1
## 24 5.1 3.3 1.7 0.5 1
## 25 4.8 3.4 1.9 0.2 1
## 26 5.0 3.0 1.6 0.2 1
## 27 5.0 3.4 1.6 0.4 1
## 28 5.2 3.5 1.5 0.2 1
## 29 5.2 3.4 1.4 0.2 1
## 30 4.7 3.2 1.6 0.2 1
## 31 4.8 3.1 1.6 0.2 1
## 32 5.4 3.4 1.5 0.4 1
## 33 5.2 4.1 1.5 0.1 1
## 34 5.5 4.2 1.4 0.2 1
## 35 4.9 3.1 1.5 0.2 1
## 36 5.0 3.2 1.2 0.2 1
## 37 5.5 3.5 1.3 0.2 1
## 38 4.9 3.6 1.4 0.1 1
## 39 4.4 3.0 1.3 0.2 1
## 40 5.1 3.4 1.5 0.2 1
## 41 5.0 3.5 1.3 0.3 1
## 42 4.5 2.3 1.3 0.3 1
## 43 4.4 3.2 1.3 0.2 1
## 44 5.0 3.5 1.6 0.6 1
## 45 5.1 3.8 1.9 0.4 1
## 46 4.8 3.0 1.4 0.3 1
## 47 5.1 3.8 1.6 0.2 1
## 48 4.6 3.2 1.4 0.2 1
## 49 5.3 3.7 1.5 0.2 1
## 50 5.0 3.3 1.4 0.2 1
## 51 7.0 3.2 4.7 1.4 0
## 52 6.4 3.2 4.5 1.5 0
## 53 6.9 3.1 4.9 1.5 0
## 54 5.5 2.3 4.0 1.3 0
## 55 6.5 2.8 4.6 1.5 0
## 56 5.7 2.8 4.5 1.3 0
## 57 6.3 3.3 4.7 1.6 0
## 58 4.9 2.4 3.3 1.0 0
## 59 6.6 2.9 4.6 1.3 0
## 60 5.2 2.7 3.9 1.4 0
## 61 5.0 2.0 3.5 1.0 0
## 62 5.9 3.0 4.2 1.5 0
## 63 6.0 2.2 4.0 1.0 0
## 64 6.1 2.9 4.7 1.4 0
## 65 5.6 2.9 3.6 1.3 0
## 66 6.7 3.1 4.4 1.4 0
## 67 5.6 3.0 4.5 1.5 0
## 68 5.8 2.7 4.1 1.0 0
## 69 6.2 2.2 4.5 1.5 0
## 70 5.6 2.5 3.9 1.1 0
## 71 5.9 3.2 4.8 1.8 0
## 72 6.1 2.8 4.0 1.3 0
## 73 6.3 2.5 4.9 1.5 0
## 74 6.1 2.8 4.7 1.2 0
## 75 6.4 2.9 4.3 1.3 0
## 76 6.6 3.0 4.4 1.4 0
## 77 6.8 2.8 4.8 1.4 0
## 78 6.7 3.0 5.0 1.7 0
## 79 6.0 2.9 4.5 1.5 0
## 80 5.7 2.6 3.5 1.0 0
## 81 5.5 2.4 3.8 1.1 0
## 82 5.5 2.4 3.7 1.0 0
## 83 5.8 2.7 3.9 1.2 0
## 84 6.0 2.7 5.1 1.6 0
## 85 5.4 3.0 4.5 1.5 0
## 86 6.0 3.4 4.5 1.6 0
## 87 6.7 3.1 4.7 1.5 0
## 88 6.3 2.3 4.4 1.3 0
## 89 5.6 3.0 4.1 1.3 0
## 90 5.5 2.5 4.0 1.3 0
## 91 5.5 2.6 4.4 1.2 0
## 92 6.1 3.0 4.6 1.4 0
## 93 5.8 2.6 4.0 1.2 0
## 94 5.0 2.3 3.3 1.0 0
## 95 5.6 2.7 4.2 1.3 0
## 96 5.7 3.0 4.2 1.2 0
## 97 5.7 2.9 4.2 1.3 0
## 98 6.2 2.9 4.3 1.3 0
## 99 5.1 2.5 3.0 1.1 0
## 100 5.7 2.8 4.1 1.3 0
## 101 6.3 3.3 6.0 2.5 0
## 102 5.8 2.7 5.1 1.9 0
## 103 7.1 3.0 5.9 2.1 0
## 104 6.3 2.9 5.6 1.8 0
## 105 6.5 3.0 5.8 2.2 0
## 106 7.6 3.0 6.6 2.1 0
## 107 4.9 2.5 4.5 1.7 0
## 108 7.3 2.9 6.3 1.8 0
## 109 6.7 2.5 5.8 1.8 0
## 110 7.2 3.6 6.1 2.5 0
## 111 6.5 3.2 5.1 2.0 0
## 112 6.4 2.7 5.3 1.9 0
## 113 6.8 3.0 5.5 2.1 0
## 114 5.7 2.5 5.0 2.0 0
## 115 5.8 2.8 5.1 2.4 0
## 116 6.4 3.2 5.3 2.3 0
## 117 6.5 3.0 5.5 1.8 0
## 118 7.7 3.8 6.7 2.2 0
## 119 7.7 2.6 6.9 2.3 0
## 120 6.0 2.2 5.0 1.5 0
## 121 6.9 3.2 5.7 2.3 0
## 122 5.6 2.8 4.9 2.0 0
## 123 7.7 2.8 6.7 2.0 0
## 124 6.3 2.7 4.9 1.8 0
## 125 6.7 3.3 5.7 2.1 0
## 126 7.2 3.2 6.0 1.8 0
## 127 6.2 2.8 4.8 1.8 0
## 128 6.1 3.0 4.9 1.8 0
## 129 6.4 2.8 5.6 2.1 0
## 130 7.2 3.0 5.8 1.6 0
## 131 7.4 2.8 6.1 1.9 0
## 132 7.9 3.8 6.4 2.0 0
## 133 6.4 2.8 5.6 2.2 0
## 134 6.3 2.8 5.1 1.5 0
## 135 6.1 2.6 5.6 1.4 0
## 136 7.7 3.0 6.1 2.3 0
## 137 6.3 3.4 5.6 2.4 0
## 138 6.4 3.1 5.5 1.8 0
## 139 6.0 3.0 4.8 1.8 0
## 140 6.9 3.1 5.4 2.1 0
## 141 6.7 3.1 5.6 2.4 0
## 142 6.9 3.1 5.1 2.3 0
## 143 5.8 2.7 5.1 1.9 0
## 144 6.8 3.2 5.9 2.3 0
## 145 6.7 3.3 5.7 2.5 0
## 146 6.7 3.0 5.2 2.3 0
## 147 6.3 2.5 5.0 1.9 0
## 148 6.5 3.0 5.2 2.0 0
## 149 6.2 3.4 5.4 2.3 0
## 150 5.9 3.0 5.1 1.8 0
## Species_versicolor Species_virginica
## 1 0 0
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 0 0
## 9 0 0
## 10 0 0
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 0
## 15 0 0
## 16 0 0
## 17 0 0
## 18 0 0
## 19 0 0
## 20 0 0
## 21 0 0
## 22 0 0
## 23 0 0
## 24 0 0
## 25 0 0
## 26 0 0
## 27 0 0
## 28 0 0
## 29 0 0
## 30 0 0
## 31 0 0
## 32 0 0
## 33 0 0
## 34 0 0
## 35 0 0
## 36 0 0
## 37 0 0
## 38 0 0
## 39 0 0
## 40 0 0
## 41 0 0
## 42 0 0
## 43 0 0
## 44 0 0
## 45 0 0
## 46 0 0
## 47 0 0
## 48 0 0
## 49 0 0
## 50 0 0
## 51 1 0
## 52 1 0
## 53 1 0
## 54 1 0
## 55 1 0
## 56 1 0
## 57 1 0
## 58 1 0
## 59 1 0
## 60 1 0
## 61 1 0
## 62 1 0
## 63 1 0
## 64 1 0
## 65 1 0
## 66 1 0
## 67 1 0
## 68 1 0
## 69 1 0
## 70 1 0
## 71 1 0
## 72 1 0
## 73 1 0
## 74 1 0
## 75 1 0
## 76 1 0
## 77 1 0
## 78 1 0
## 79 1 0
## 80 1 0
## 81 1 0
## 82 1 0
## 83 1 0
## 84 1 0
## 85 1 0
## 86 1 0
## 87 1 0
## 88 1 0
## 89 1 0
## 90 1 0
## 91 1 0
## 92 1 0
## 93 1 0
## 94 1 0
## 95 1 0
## 96 1 0
## 97 1 0
## 98 1 0
## 99 1 0
## 100 1 0
## 101 0 1
## 102 0 1
## 103 0 1
## 104 0 1
## 105 0 1
## 106 0 1
## 107 0 1
## 108 0 1
## 109 0 1
## 110 0 1
## 111 0 1
## 112 0 1
## 113 0 1
## 114 0 1
## 115 0 1
## 116 0 1
## 117 0 1
## 118 0 1
## 119 0 1
## 120 0 1
## 121 0 1
## 122 0 1
## 123 0 1
## 124 0 1
## 125 0 1
## 126 0 1
## 127 0 1
## 128 0 1
## 129 0 1
## 130 0 1
## 131 0 1
## 132 0 1
## 133 0 1
## 134 0 1
## 135 0 1
## 136 0 1
## 137 0 1
## 138 0 1
## 139 0 1
## 140 0 1
## 141 0 1
## 142 0 1
## 143 0 1
## 144 0 1
## 145 0 1
## 146 0 1
## 147 0 1
## 148 0 1
## 149 0 1
## 150 0 1plot_missing(iris)
plot_histogram(iris)
plot_boxplot(iris,by='Species')
plot_correlation(iris[,-5])
plot_prcomp(iris)
#create_report(iris)package:ggplot2
documentation
why ggplot2?
- fancy by default, good for demo and report
- consistent across all kinds of plot in syntax and behavior
- strong support community(the mostly download package on CRAN)
#basic syntax
#ggplot(data,aes(x,y,group,...))+geom_object(...)
#install.packages('ggplot2')
library('ggplot2')## Warning: package 'ggplot2' was built under R version 3.5.2g <- ggplot(cdc,aes(x=height,y=weight))
g+geom_point()
g <- ggplot(cdc,aes(x=height,y=weight,col=gender))
g+geom_point()
g <- ggplot(cdc,aes(x=height,y=weight))
g+geom_point(aes(col=gender))
g <- ggplot(cdc,aes(x=genhlth))
g+geom_bar()
g+geom_bar() + ylab('次數') + ggtitle('健康狀況長條圖')
#fill => 填滿顏色; color => 邊線顏色
g+geom_bar(fill='snow',color='black')
g+geom_bar(aes(fill=gender),color='black')
g+geom_bar(aes(fill=gender))+ylab("次數")+ggtitle("健康狀況長條圖")
ggplot2(續)
## theme
g+geom_bar(aes(col=gender))+ylab("次數")+ggtitle("健康狀況長條圖") + theme(text=element_text(size=16, family="Songti SC"))
g+geom_bar(aes(col=gender))+ylab("次數")+ggtitle("健康狀況長條圖")+theme_classic()
#stat function
?geom_bar
g <- ggplot(cdc,aes(x=genhlth))
g+geom_bar(stat = 'count')
g+stat_count(geom='bar')
##position
g = ggplot(cdc,aes(x=gender))
g+geom_bar(aes(fill=genhlth),position='stack')
g+geom_bar(aes(fill=genhlth),position='dodge')
g+geom_bar(aes(fill=genhlth),position='fill')
g+geom_bar(aes(fill=genhlth),position='identity')
#facet
g <- ggplot(cdc,aes(x=weight))
g+ geom_histogram()+facet_wrap(~genhlth)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
g+ geom_histogram()+facet_grid(~genhlth)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
g+ geom_histogram()+facet_grid(gender~genhlth)## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
antv documentation
ggplot2(續)
#coordinate
g <- ggplot(cdc,aes(x=genhlth))
g+geom_bar()+coord_flip()
g+geom_bar()+coord_polar(theta = 'x')
g+geom_bar()+coord_polar(theta = 'y')
g+geom_bar(aes(fill=gender))+coord_polar(theta = 'y')
#pie chart
ggplot(cdc,aes(x=1)) + geom_bar(aes(fill=genhlth)) + coord_polar(theta = 'y')
precounted = as.data.frame(table(cdc$genhlth))
names(precounted)[1]= 'genhlth'
precounted## genhlth Freq
## 1 excellent 4657
## 2 very good 6972
## 3 good 5675
## 4 fair 2019
## 5 poor 677precounted = as.data.frame(table(cdc$genhlth,dnn = c('genhlth')))
precounted## genhlth Freq
## 1 excellent 4657
## 2 very good 6972
## 3 good 5675
## 4 fair 2019
## 5 poor 677g2 = ggplot(precounted,aes(x=genhlth,y=Freq))+ geom_bar(stat='identity')
#save
ggsave(filename = './g2.jpg',plot=g2)## Saving 7 x 5 in imageEsquisse
if mac OS cannot install, try this:
brew install pkg-config install.packages(“gdtools”, type = “source”) devtools::install_github(“dreamRs/esquisse”) ####
#install.packages('esquisse')
#library('esquisse')
#esquisse::esquisser()setwd('~/lecture/riii')
load('./Statistics/appledaily.RData')
str(appledaily)## 'data.frame': 1500 obs. of 5 variables:
## $ content : chr "\n (更新:新增影片)想要透過刮刮樂彩券一夕致富，但他卻用錯方法！台中市一名"| __truncated__ "\n 澳洲一名就讀雪梨大學的華裔博士生，日前公開一段燒毀中國護照的影片，還"| __truncated__ "\n 【行銷專題企劃】房價高高在上，沒錢買房沒關係，但你認為自己是聰明的租"| __truncated__ "\n 本內容由中央廣播電臺提供 美國國防部長卡特(Ash Carter)今天(15日"| __truncated__ ...
## $ title : chr "【更新】搶2.2萬彩券刮中1.4萬 沒發財還得入獄" "拿到澳洲護照後 他放火燒中國護照" "【特企】房市大追擊- 租屋這些事情要小心" "【央廣RTI】美菲軍演 美防長南海登艦" ...
## $ dt : chr "2016年04月15日14:32" "2016年04月15日14:32" "2016年04月15日14:31" "2016年04月15日14:30" ...
## $ category: chr "社會" "國際" "地產" "國際" ...
## $ clicked : chr "人氣(1754)" "人氣(0)" "人氣(0)" "人氣(0)" ...as.POSIXct(appledaily[1,'dt'],format='%Y年%m月%d日%H:%M')## [1] "2016-04-15 14:32:00 CST"#比較as.POSIX() 和 as.Date()
unclass(as.POSIXct(appledaily$dt,format = '%Y年%m月%d日%H:%M'))## [1] 1460701920 1460701920 1460701860 1460701800 1460701680 1460701680
## [7] 1460701500 1460701440 1460701440 1460701380 1460701320 1460701260
## [13] 1460701140 1460701140 1460701080 1460701020 1460700900 1460700900
## [19] 1460700720 1460700600 1460700000 1460699940 1460699940 1460699640
## [25] 1460699640 1460699520 1460699460 1460699460 1460699400 1460699400
## [31] 1460699400 1460699340 1460699280 1460699220 1460699100 1460699100
## [37] 1460699100 1460699040 1460698920 1460698800 1460698800 1460698740
## [43] 1460698680 1460698440 1460698440 1460698380 1460698200 1460698200
## [49] 1460697960 1460697780 1460697480 1460697000 1460696880 1460696880
## [55] 1460696880 1460696820 1460696760 1460696700 1460696700 1460696520
## [61] 1460696460 1460696400 1460696400 1460696340 1460696160 1460695920
## [67] 1460695800 1460695740 1460695740 1460695680 1460695620 1460695320
## [73] 1460695320 1460695260 1460695260 1460695260 1460695140 1460695080
## [79] 1460695020 1460694960 1460694960 1460694900 1460694840 1460694840
## [85] 1460694780 1460694780 1460694780 1460694780 1460694540 1460694420
## [91] 1460694420 1460694360 1460694060 1460694060 1460694000 1460694000
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## [133] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [144] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [155] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [166] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [177] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [188] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [199] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [210] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [221] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [232] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [243] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [254] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [265] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [276] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [287] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [298] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [309] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [320] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [331] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [342] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [353] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [364] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [375] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [386] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [397] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [408] 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906 16906
## [419] 16906 16906 16906 16906 16906 16906 16906 16905 16905 16905 16905
## [430] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [441] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [452] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [463] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [474] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [485] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [496] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [507] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [518] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [529] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [540] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [551] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [562] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [573] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [584] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [595] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [606] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [617] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [628] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [639] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [650] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [661] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [672] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [683] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [694] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [705] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [716] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [727] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [738] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [749] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [760] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [771] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [782] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [793] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [804] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [815] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [826] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [837] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [848] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [859] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [870] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [881] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [892] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [903] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [914] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [925] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [936] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [947] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [958] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [969] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [980] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [991] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1002] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1013] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1024] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1035] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1046] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1057] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1068] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1079] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1090] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1101] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1112] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1123] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1134] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1145] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1156] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1167] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1178] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1189] 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905 16905
## [1200] 16905 16905 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1211] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1222] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1233] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1244] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1255] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1266] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1277] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1288] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1299] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1310] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1321] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1332] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1343] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1354] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1365] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1376] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1387] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1398] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1409] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1420] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1431] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1442] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1453] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1464] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1475] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1486] 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904 16904
## [1497] 16904 16904 16904 16904#比較as.POSIXct() 和 as.POSIXlt()
t1 = as.POSIXct(appledaily$dt,format = '%Y年%m月%d日%H:%M')
class(t1)## [1] "POSIXct" "POSIXt"head(unclass(t1))## [1] 1460701920 1460701920 1460701860 1460701800 1460701680 1460701680t2 = as.POSIXlt(appledaily$dt,format = '%Y年%m月%d日%H:%M')
class(t2)## [1] "POSIXlt" "POSIXt"unclass(t2)## $sec
## [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [35] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [69] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [103] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [137] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [171] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [205] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [239] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [273] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [307] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [341] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [375] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [409] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [443] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [477] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [511] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [545] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [579] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [613] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [647] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [681] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [715] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [749] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [783] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [817] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [851] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [885] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [919] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [953] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [987] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1021] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1055] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1089] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1123] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1157] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1191] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1225] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1259] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1293] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1327] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1361] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1395] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1429] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1463] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1497] 0 0 0 0
##
## $min
## [1] 32 32 31 30 28 28 25 24 24 23 22 21 19 19 18 17 15 15 12 10 0 59 59
## [24] 54 54 52 51 51 50 50 50 49 48 47 45 45 45 44 42 40 40 39 38 34 34 33
## [47] 30 30 26 23 18 10 8 8 8 7 6 5 5 2 1 0 0 59 56 52 50 49 49
## [70] 48 47 42 42 41 41 41 39 38 37 36 36 35 34 34 33 33 33 33 29 27 27 26
## [93] 21 21 20 20 20 19 16 16 15 13 12 11 10 10 10 10 9 9 8 7 7 6 5
## [116] 5 5 4 3 2 0 0 0 0 0 59 59 58 58 58 56 55 54 54 54 54 53 53
## [139] 52 52 50 49 48 47 47 47 47 47 46 45 47 47 46 45 45 43 43 42 40 40 39
## [162] 38 38 37 37 37 35 35 34 32 28 27 27 26 25 25 25 23 23 23 12 11 10 10
## [185] 9 9 8 7 7 6 5 3 2 0 0 0 0 0 0 57 56 53 49 48 47 47 46
## [208] 46 44 44 42 42 41 40 39 39 35 34 34 33 31 30 30 30 27 27 25 25 24 22
## [231] 20 20 18 17 16 15 14 10 5 5 14 10 5 5 4 1 0 0 57 57 55 49 49
## [254] 47 46 46 45 45 44 44 42 40 38 36 34 34 30 28 26 25 12 8 8 4 4 3
## [277] 0 57 50 49 44 41 38 28 20 16 15 6 5 4 4 3 2 57 49 45 45 36 35
## [300] 34 45 36 35 34 32 28 25 25 24 19 17 14 10 8 1 59 56 49 49 46 45 41
## [323] 37 34 30 30 29 28 20 16 16 14 13 59 56 55 35 21 0 57 47 40 27 25 40
## [346] 40 29 15 46 29 12 59 55 40 21 10 51 48 38 36 30 29 24 24 24 23 23 18
## [369] 17 17 17 16 15 15 14 14 13 13 12 12 12 11 10 10 10 10 9 9 8 8 8
## [392] 8 7 7 6 6 6 5 5 5 5 5 4 4 4 3 3 3 3 3 3 2 1 1
## [415] 1 1 0 0 0 0 0 0 0 0 0 51 51 46 40 40 26 21 18 8 4 4 0
## [438] 59 55 54 53 50 47 45 43 42 42 39 37 37 37 36 34 33 33 32 31 30 28 26
## [461] 26 22 20 20 15 14 12 8 7 6 5 4 4 2 2 2 1 0 59 57 56 53 52
## [484] 50 49 48 47 46 44 42 42 40 38 30 25 18 18 17 13 13 11 9 8 5 1 1
## [507] 51 45 45 44 42 42 40 39 39 39 38 38 30 30 29 25 25 24 20 20 18 17 13
## [530] 12 10 5 4 3 3 1 1 0 0 0 58 56 55 53 52 51 50 49 46 40 40 38
## [553] 36 36 35 34 33 32 31 31 30 30 27 25 20 20 20 19 15 11 11 8 7 5 1
## [576] 0 0 0 58 56 56 55 54 53 52 50 47 45 45 44 42 42 40 40 40 39 37 36
## [599] 34 33 32 30 29 28 28 28 27 27 24 23 22 21 20 20 16 15 14 13 11 10 8
## [622] 7 4 0 59 58 54 54 52 51 50 49 47 45 44 41 41 41 39 39 39 38 37 36
## [645] 36 36 35 34 33 33 30 29 29 28 28 24 21 20 18 18 17 16 16 15 15 13 12
## [668] 10 9 6 6 5 5 5 3 1 0 0 0 0 0 59 59 58 57 57 56 55 54 52
## [691] 50 50 50 49 47 46 46 45 45 43 40 40 40 39 36 34 33 33 31 30 30 30 30
## [714] 30 28 23 23 22 22 22 21 20 19 18 17 16 14 12 11 10 10 8 7 6 4 1
## [737] 0 0 0 0 59 57 52 50 49 49 48 47 43 41 43 41 40 39 39 35 35 32 30
## [760] 29 28 28 26 25 24 24 22 21 20 20 19 19 13 13 12 12 12 11 11 9 9 6
## [783] 5 5 2 2 1 0 0 0 0 56 55 53 52 51 50 50 47 45 45 44 43 43 43
## [806] 41 39 37 35 34 33 32 31 30 30 30 29 27 27 25 25 24 23 23 22 22 20 18
## [829] 18 17 14 11 10 10 8 6 5 5 5 1 0 0 0 0 59 56 55 55 54 54 53
## [852] 52 51 49 45 41 40 40 40 39 38 36 34 32 30 24 23 20 19 19 19 15 14 8
## [875] 6 5 5 4 4 1 1 59 52 49 47 47 46 46 40 36 35 34 31 30 29 29 29
## [898] 27 26 26 25 25 25 25 24 23 21 19 19 18 17 17 16 16 16 16 16 16 15 13
## [921] 12 11 11 10 9 9 9 7 7 6 5 5 5 3 3 2 0 0 0 59 59 58 56
## [944] 55 55 55 54 53 50 50 47 47 46 46 45 45 45 42 41 41 40 40 40 40 34 33
## [967] 33 32 31 30 28 25 24 20 19 18 15 12 11 10 7 6 5 4 4 1 0 0 0
## [990] 0 0 59 56 53 52 51 50 48 44 42 41 40 40 40 39 37 37 34 33 32 32 29
## [1013] 29 28 24 24 19 19 19 17 15 11 10 10 10 10 10 10 9 9 9 5 3 3 58
## [1036] 54 54 53 53 53 51 50 46 46 46 41 36 32 30 29 26 23 12 11 6 4 3 2
## [1059] 0 0 56 47 44 40 38 36 30 29 25 24 23 8 1 0 0 58 52 50 48 45 45
## [1082] 44 39 39 38 36 36 36 34 34 33 30 29 21 20 18 18 16 12 7 6 4 0 57
## [1105] 52 50 45 35 35 30 28 27 24 24 19 17 4 55 49 38 38 28 27 7 52 42 35
## [1128] 28 23 51 40 40 37 22 11 5 53 36 32 22 15 0 47 41 12 38 35 35 35 34
## [1151] 34 34 34 34 34 34 34 30 30 30 30 30 30 30 30 28 28 26 25 24 24 24 24
## [1174] 22 18 18 14 13 12 12 10 10 9 9 8 8 6 5 5 4 3 3 2 2 2 1
## [1197] 1 1 0 0 0 59 58 57 50 48 43 41 40 38 35 34 30 30 26 24 23 20 20
## [1220] 13 12 11 10 6 0 57 50 42 40 39 34 33 32 30 28 28 23 23 20 18 17 15
## [1243] 14 13 10 4 2 0 0 59 55 52 51 49 49 47 46 45 45 42 39 38 38 36 30
## [1266] 28 23 22 20 17 16 15 11 10 10 10 8 5 5 2 0 0 58 58 57 56 55 55
## [1289] 53 52 51 50 50 48 48 44 44 40 35 30 28 27 26 24 23 23 22 18 16 12 10
## [1312] 8 8 6 6 5 2 0 0 0 57 56 54 54 53 53 51 50 50 48 45 44 44 42
## [1335] 40 40 40 37 36 32 32 30 30 29 28 27 26 25 20 20 19 18 18 17 17 10 10
## [1358] 8 6 6 3 3 2 1 0 0 0 59 58 58 56 56 54 50 50 48 47 46 46 44
## [1381] 44 44 42 42 40 40 40 39 39 38 37 37 34 33 31 28 27 24 22 21 20 19 15
## [1404] 15 14 11 11 10 10 10 10 10 10 8 7 3 3 3 3 0 59 58 57 56 55 55
## [1427] 55 54 53 50 45 43 43 42 41 41 40 40 40 40 39 39 36 33 33 32 30 30 29
## [1450] 28 25 22 19 18 15 12 11 9 8 5 4 4 3 2 56 55 54 53 53 52 51 51
## [1473] 49 46 41 40 40 38 38 37 35 35 35 35 33 32 31 30 29 27 26 25 23 23 20
## [1496] 19 18 17 14 13
##
## $hour
## [1] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 13 13
## [24] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [47] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 12 12 12 12 12 12
## [70] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
## [93] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
## [116] 12 12 12 12 12 12 12 12 12 12 11 11 11 11 11 11 11 11 11 11 11 11 11
## [139] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
## [162] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
## [185] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 10 10 10 10 10 10 10 10
## [208] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [231] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 9 9 9 9 9
## [254] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
## [277] 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7 7 7 7
## [300] 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6 6 6 6 6 6 6
## [323] 6 6 6 6 6 6 6 6 6 6 6 5 5 5 5 5 5 4 4 4 4 4 3
## [346] 3 3 3 2 2 2 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0
## [369] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [392] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [415] 0 0 0 0 0 0 0 0 0 0 0 23 23 23 23 23 23 23 23 23 23 23 23
## [438] 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22
## [461] 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 21 21 21 21 21
## [484] 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21
## [507] 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20
## [530] 20 20 20 20 20 20 20 20 20 20 20 19 19 19 19 19 19 19 19 19 19 19 19
## [553] 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19
## [576] 19 19 19 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
## [599] 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
## [622] 18 18 18 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17
## [645] 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17
## [668] 17 17 17 17 17 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16 16
## [691] 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
## [714] 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
## [737] 16 16 16 16 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [760] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [783] 15 15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [806] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [829] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 13 13 13 13 13 13 13
## [852] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [875] 13 13 13 13 13 13 13 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
## [898] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
## [921] 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 11 11 11 11
## [944] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
## [967] 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11 11
## [990] 11 11 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
## [1013] 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 9
## [1036] 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
## [1059] 9 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 7 7 7 7 7 7
## [1082] 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 6
## [1105] 6 6 6 6 6 6 6 6 6 6 6 6 6 5 5 5 5 5 5 5 4 4 4
## [1128] 4 4 3 3 3 3 3 3 3 2 2 2 2 2 2 1 1 1 0 0 0 0 0
## [1151] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1174] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1197] 0 0 0 0 0 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23 23
## [1220] 23 23 23 23 23 23 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22
## [1243] 22 22 22 22 22 22 22 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21
## [1266] 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 20 20 20 20 20 20
## [1289] 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20
## [1312] 20 20 20 20 20 20 20 20 20 19 19 19 19 19 19 19 19 19 19 19 19 19 19
## [1335] 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19 19
## [1358] 19 19 19 19 19 19 19 19 19 19 18 18 18 18 18 18 18 18 18 18 18 18 18
## [1381] 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
## [1404] 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 17 17 17 17 17 17
## [1427] 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17
## [1450] 17 17 17 17 17 17 17 17 17 17 17 17 17 17 17 16 16 16 16 16 16 16 16
## [1473] 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
## [1496] 16 16 16 16 16
##
## $mday
## [1] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [24] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [47] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [70] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [93] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [116] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [139] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [162] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [185] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [208] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [231] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [254] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [277] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [300] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [323] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [346] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [369] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [392] 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15
## [415] 15 15 15 15 15 15 15 15 15 15 15 14 14 14 14 14 14 14 14 14 14 14 14
## [438] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [461] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [484] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [507] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [530] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [553] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [576] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [599] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [622] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [645] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [668] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [691] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [714] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [737] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [760] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [783] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [806] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [829] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [852] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [875] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [898] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [921] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [944] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [967] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [990] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1013] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1036] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1059] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1082] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1105] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1128] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1151] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1174] 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
## [1197] 14 14 14 14 14 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1220] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1243] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1266] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1289] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1312] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1335] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1358] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1381] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1404] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1427] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1450] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1473] 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13
## [1496] 13 13 13 13 13
##
## $mon
## [1] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [35] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [69] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [103] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [137] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [171] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [205] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [239] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [273] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [307] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [341] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [375] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [409] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [443] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [477] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [511] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [545] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [579] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [613] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [647] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [681] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [715] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [749] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [783] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [817] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [851] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [885] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [919] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [953] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [987] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1021] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1055] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1089] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1123] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1157] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1191] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1225] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1259] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1293] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1327] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1361] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1395] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1429] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1463] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1497] 3 3 3 3
##
## $year
## [1] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [18] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [35] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [52] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [69] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [86] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [103] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [120] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [137] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [154] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [171] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [188] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [205] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [222] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [239] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [256] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [273] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [290] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [307] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [324] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [341] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [358] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [375] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [392] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [409] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [426] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [443] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [460] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [477] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [494] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [511] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [528] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [545] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [562] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [579] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [596] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [613] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [630] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [647] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [664] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [681] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [698] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [715] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [732] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [749] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [766] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [783] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [800] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [817] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [834] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [851] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [868] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [885] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [902] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [919] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [936] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [953] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [970] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [987] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1004] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1021] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1038] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1055] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1072] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1089] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1106] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1123] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1140] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1157] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1174] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1191] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1208] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1225] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1242] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1259] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1276] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1293] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1310] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1327] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1344] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1361] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1378] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1395] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1412] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1429] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1446] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1463] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1480] 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116 116
## [1497] 116 116 116 116
##
## $wday
## [1] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [35] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [69] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [103] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [137] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [171] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [205] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [239] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [273] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [307] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [341] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [375] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
## [409] 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [443] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [477] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [511] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [545] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [579] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [613] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [647] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [681] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [715] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [749] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [783] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [817] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [851] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [885] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [919] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [953] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [987] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1021] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1055] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1089] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1123] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1157] 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
## [1191] 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1225] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1259] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1293] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1327] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1361] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1395] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1429] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1463] 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
## [1497] 3 3 3 3
##
## $yday
## [1] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [18] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [35] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [52] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [69] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [86] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [103] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [120] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [137] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [154] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [171] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [188] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [205] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [222] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [239] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [256] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [273] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [290] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [307] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [324] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [341] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [358] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [375] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [392] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [409] 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105
## [426] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [443] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [460] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [477] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [494] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [511] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [528] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [545] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [562] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [579] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [596] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [613] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [630] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [647] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [664] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [681] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [698] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [715] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [732] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [749] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [766] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [783] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [800] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [817] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [834] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [851] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [868] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [885] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [902] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [919] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [936] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [953] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [970] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [987] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1004] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1021] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1038] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1055] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1072] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1089] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1106] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1123] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1140] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1157] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1174] 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104 104
## [1191] 104 104 104 104 104 104 104 104 104 104 104 103 103 103 103 103 103
## [1208] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1225] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1242] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1259] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1276] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1293] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1310] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1327] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1344] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1361] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1378] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1395] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1412] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1429] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1446] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1463] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1480] 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103 103
## [1497] 103 103 103 103
##
## $isdst
## [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [35] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [69] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [103] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [137] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [171] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [205] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [239] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [273] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [307] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [341] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [375] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [409] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [443] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [477] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [511] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [545] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [579] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [613] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [647] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [681] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [715] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [749] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [783] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [817] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [851] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [885] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [919] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [953] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [987] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1021] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1055] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1089] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1123] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1157] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1191] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1225] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1259] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1293] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1327] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1361] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1395] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1429] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1463] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
## [1497] 0 0 0 0
##
## $zone
## [1] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [12] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [23] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [34] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [45] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [56] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [67] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [78] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [89] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [100] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [111] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [122] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [133] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [144] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [155] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [166] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [177] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [188] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [199] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [210] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [221] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [232] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [243] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [254] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [265] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [276] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [287] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [298] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [309] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [320] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [331] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [342] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [353] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [364] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [375] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [386] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [397] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [408] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [419] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [430] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [441] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [452] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [463] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [474] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [485] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [496] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [507] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [518] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [529] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [540] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [551] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [562] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [573] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [584] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [595] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [606] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [617] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [628] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [639] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [650] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [661] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [672] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [683] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [694] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [705] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [716] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [727] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [738] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [749] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [760] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [771] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [782] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [793] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [804] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [815] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [826] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [837] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [848] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [859] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [870] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [881] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [892] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [903] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [914] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [925] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [936] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [947] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [958] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [969] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [980] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [991] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1002] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1013] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1024] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1035] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1046] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1057] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1068] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1079] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1090] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1101] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1112] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1123] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1134] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1145] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1156] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1167] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1178] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1189] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1200] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1211] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1222] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1233] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1244] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1255] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1266] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1277] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1288] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1299] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1310] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1321] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1332] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1343] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1354] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1365] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1376] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1387] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1398] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1409] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1420] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1431] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1442] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1453] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1464] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1475] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1486] "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST" "CST"
## [1497] "CST" "CST" "CST" "CST"
##
## $gmtoff
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## [1128] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
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## [1473] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [1496] NA NA NA NA NAappledaily$dt = as.POSIXct(appledaily$dt,format = '%Y年%m月%d日%H:%M')
str(appledaily)## 'data.frame': 1500 obs. of 5 variables:
## $ content : chr "\n (更新:新增影片)想要透過刮刮樂彩券一夕致富，但他卻用錯方法！台中市一名"| __truncated__ "\n 澳洲一名就讀雪梨大學的華裔博士生，日前公開一段燒毀中國護照的影片，還"| __truncated__ "\n 【行銷專題企劃】房價高高在上，沒錢買房沒關係，但你認為自己是聰明的租"| __truncated__ "\n 本內容由中央廣播電臺提供 美國國防部長卡特(Ash Carter)今天(15日"| __truncated__ ...
## $ title : chr "【更新】搶2.2萬彩券刮中1.4萬 沒發財還得入獄" "拿到澳洲護照後 他放火燒中國護照" "【特企】房市大追擊- 租屋這些事情要小心" "【央廣RTI】美菲軍演 美防長南海登艦" ...
## $ dt : POSIXct, format: "2016-04-15 14:32:00" "2016-04-15 14:32:00" ...
## $ category: chr "社會" "國際" "地產" "國際" ...
## $ clicked : chr "人氣(1754)" "人氣(0)" "人氣(0)" "人氣(0)" ...lubridate package
#install.packages('lubridate')
library(lubridate)##
## Attaching package: 'lubridate'## The following object is masked from 'package:base':
##
## date# Extracting information
now_date = now()
year(now_date)## [1] 2020month(now_date,label=T)## [1] 1
## Levels: 1 < 2 < 3 < 4 < 5 < 6 < 7 < 8 < 9 < 10 < 11 < 12day(now_date)## [1] 30hour(now_date)## [1] 16minute(now_date)## [1] 56second(now_date)## [1] 18.16762wday(now_date,label=T)## [1] 四
## Levels: 日 < 一 < 二 < 三 < 四 < 五 < 六# Parsing dates and times
ymd('2020年01月30日')## [1] "2020-01-30"mdy('01302020')## [1] "2020-01-30"dmy(30012020)## [1] "2020-01-30"ymd('2019/01/29')## [1] "2019-01-29"ymd('2019.01.29')## [1] "2019-01-29"ymd('2019.01.29')## [1] "2019-01-29"ymd_hm('2019/1/29 14:40',tz='Asia/Taipei')## [1] "2019-01-29 14:40:00 CST"with_tz(ymd_hm('2019/11/26 16:30',tz='Asia/Taipei'),tzone='America/Los_Angeles')## [1] "2019-11-26 00:30:00 PST"appledaily$dt = ymd_hm(appledaily$dt,tz='Asia/Taipei')## Warning: All formats failed to parse. No formats found.擷取點擊數中數值部分
“.” => 0~多個 . “+” => 1~多個 + “?” => 0 or 1 ?
#方法一：利用sub函數取代
tmp = sub("人氣\\(","",appledaily$clicked[1])
tmp2 = sub("\\)","",tmp)
click = as.numeric(tmp2)
clicked = sub('\\)','',sub('人氣\\(','',appledaily$clicked))
clicked = as.integer(clicked)
head(clicked)## [1] 1754 0 0 0 311 24#方法二：使用stringr套件的str_match()
library(stringr)## Warning: package 'stringr' was built under R version 3.5.2?str_match
clicked = as.integer(str_match(appledaily$clicked,"人氣\\((\\d+)\\)")[,2])
appledaily$clicked = clicked
head(clicked)## [1] 1754 0 0 0 311 24其他常見字串處理函式
#sub (取代第一個遇到的字串)
s = "aaa bbb ccc aaa bbb aaa"
sub("aaa","",s)## [1] " bbb ccc aaa bbb aaa"#利用gsub函數取代 (全局取代)
gsub("aaa","",s)## [1] " bbb ccc bbb "#grep() ==> return index
test_str = c('abcd','bcd','cde')
grep('a',test_str)## [1] 1test_str[grep('a',test_str)]## [1] "abcd"setwd('~/lecture/riii')
load('./Statistics/applenews.RData')
applenews[grep('中國',applenews$title[1:10]),"title"]## [1] "拿到澳洲護照後 他放火燒中國護照"#grepl() ==> return boolean
grepl('a',test_str)## [1] TRUE FALSE FALSEtest_str[grepl('a',test_str)]## [1] "abcd"#strsplit() ==> 字串分割
splited = strsplit(c('abc-def','ddd-ggg'),'-')
splited## [[1]]
## [1] "abc" "def"
##
## [[2]]
## [1] "ddd" "ggg"class(splited)## [1] "list"### 取出list裡面部分元素
sapply(splited,function(e){e[1]})## [1] "abc" "ddd"splited_vec = unlist(splited)
length(splited_vec)## [1] 4seq(from=1,to=length(splited_vec),by=2)## [1] 1 3splited_vec[seq(from=1,to=length(splited_vec),by=2)]## [1] "abc" "ddd"#substring() ==> 取得部份字串
test_s = 'abcdef'
nchar(test_s)## [1] 6substring(test_s,2,nchar('abcdef')-1)## [1] "bcde"遺失值處理(missing value)
setwd('~/lecture/riii')
load('./Statistics/applenews.RData')
idx= sample(1:nrow(applenews),size=30)
applenews[idx,'clicked'] = NA
#找尋遺失值
is.na(applenews)## content title dt category clicked
## 1 FALSE FALSE FALSE FALSE FALSE
## 2 FALSE FALSE FALSE FALSE FALSE
## 3 FALSE FALSE FALSE FALSE FALSE
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## 1496 FALSE FALSE FALSE FALSE FALSE
## 1497 FALSE FALSE FALSE FALSE FALSE
## 1498 FALSE FALSE FALSE FALSE FALSE
## 1499 FALSE FALSE FALSE FALSE FALSE
## 1500 FALSE FALSE FALSE FALSE FALSEsum(is.na(applenews$clicked))## [1] 30sapply(names(applenews),function(e){ sum(is.na(applenews[,e])) >0 })## content title dt category clicked
## FALSE FALSE FALSE FALSE TRUEcleaned_data = applenews[!is.na(applenews$clicked),]
#移除missing value
complete.cases(applenews)## [1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [12] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [23] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [34] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [45] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [56] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [67] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [78] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [89] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [100] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [111] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [122] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [133] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [144] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [155] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [166] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [177] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [188] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [199] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [210] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [221] FALSE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [232] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [243] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [254] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [265] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [276] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [287] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [298] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
## [309] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [320] TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE
## [331] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [342] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [353] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [364] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [375] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [386] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [397] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [408] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [419] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [430] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [441] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE FALSE TRUE
## [452] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [463] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [474] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [485] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [496] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [507] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [518] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [529] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [540] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [551] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [562] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [573] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [584] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [595] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [606] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [617] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [628] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [639] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [650] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [661] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [672] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE
## [683] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [694] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [705] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [716] TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
## [727] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
## [738] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [749] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [760] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [771] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [782] TRUE FALSE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [793] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [804] TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [815] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [826] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [837] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [848] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE
## [859] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [870] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [881] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [892] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [903] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [914] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [925] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [936] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [947] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [958] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [969] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [980] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [991] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1002] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1013] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1024] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1035] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1046] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1057] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1068] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1079] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1090] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1101] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1112] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1123] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1134] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1145] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1156] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1167] TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE
## [1178] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1189] TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1200] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1211] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1222] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1233] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1244] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1255] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1266] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1277] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1288] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1299] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1310] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1321] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1332] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1343] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1354] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1365] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1376] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1387] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1398] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1409] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1420] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1431] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1442] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1453] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1464] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1475] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1486] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1497] TRUE TRUE TRUE TRUEcleaned_data2 = applenews[complete.cases(applenews),]
str(cleaned_data2)## 'data.frame': 1470 obs. of 5 variables:
## $ content : chr "\n (更新:新增影片)想要透過刮刮樂彩券一夕致富，但他卻用錯方法！台中市一名"| __truncated__ "\n 澳洲一名就讀雪梨大學的華裔博士生，日前公開一段燒毀中國護照的影片，還"| __truncated__ "\n 【行銷專題企劃】房價高高在上，沒錢買房沒關係，但你認為自己是聰明的租"| __truncated__ "\n 本內容由中央廣播電臺提供 美國國防部長卡特(Ash Carter)今天(15日"| __truncated__ ...
## $ title : chr "【更新】搶2.2萬彩券刮中1.4萬 沒發財還得入獄" "拿到澳洲護照後 他放火燒中國護照" "【特企】房市大追擊- 租屋這些事情要小心" "【央廣RTI】美菲軍演 美防長南海登艦" ...
## $ dt : POSIXct, format: "2016-04-15 14:32:00" "2016-04-15 14:32:00" ...
## $ category: chr "社會" "國際" "地產" "國際" ...
## $ clicked : int 1754 0 0 0 311 24 20 314 27 308 ...#以全體平均填補
load('./Statistics/applenews.RData')
applenews[idx,'clicked'] = NA
mean_clicked = round(mean(applenews$clicked,na.rm=T),0)
applenews$clicked[is.na(applenews$clicked)] = mean_clicked
sum(is.na(applenews$clicked))## [1] 0遺失值處理(missing value)(續)
#以類別平均填補
setwd('~/lecture/riii')
load('./Statistics/applenews.RData')
applenews[idx,'clicked'] = NA
cat_means = tapply(applenews$clicked,applenews$category,function(e){round(mean(e,na.rm=T),0)})
cat_means["3C"]## 3C
## 3954for(i in names(cat_means)){
applenews[applenews$category == i & is.na(applenews$clicked),'clicked'] = cat_means[i]
}
sum(is.na(applenews$clicked))## [1] 0mice
#install.packages('mice')
library(mice)## Loading required package: lattice##
## Attaching package: 'mice'## The following objects are masked from 'package:base':
##
## cbind, rbinddata(iris)
na_list = sample(1:nrow(iris),15)
iris[na_list,'Sepal.Length'] = NA
mice.data <- mice(data=iris,m = 3,method = "cart")##
## iter imp variable
## 1 1 Sepal.Length
## 1 2 Sepal.Length
## 1 3 Sepal.Length
## 2 1 Sepal.Length
## 2 2 Sepal.Length
## 2 3 Sepal.Length
## 3 1 Sepal.Length
## 3 2 Sepal.Length
## 3 3 Sepal.Length
## 4 1 Sepal.Length
## 4 2 Sepal.Length
## 4 3 Sepal.Length
## 5 1 Sepal.Length
## 5 2 Sepal.Length
## 5 3 Sepal.Lengthcomplete(mice.data,1)## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.9 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
## 7 4.6 3.4 1.4 0.3 setosa
## 8 5.0 3.4 1.5 0.2 setosa
## 9 4.4 2.9 1.4 0.2 setosa
## 10 4.9 3.1 1.5 0.1 setosa
## 11 5.4 3.7 1.5 0.2 setosa
## 12 4.8 3.4 1.6 0.2 setosa
## 13 4.8 3.0 1.4 0.1 setosa
## 14 4.3 3.0 1.1 0.1 setosa
## 15 5.8 4.0 1.2 0.2 setosa
## 16 5.7 4.4 1.5 0.4 setosa
## 17 5.4 3.9 1.3 0.4 setosa
## 18 5.1 3.5 1.4 0.3 setosa
## 19 5.7 3.8 1.7 0.3 setosa
## 20 5.1 3.8 1.5 0.3 setosa
## 21 5.4 3.4 1.7 0.2 setosa
## 22 5.1 3.7 1.5 0.4 setosa
## 23 4.6 3.6 1.0 0.2 setosa
## 24 5.1 3.3 1.7 0.5 setosa
## 25 4.8 3.4 1.9 0.2 setosa
## 26 4.8 3.0 1.6 0.2 setosa
## 27 5.0 3.4 1.6 0.4 setosa
## 28 5.2 3.5 1.5 0.2 setosa
## 29 5.2 3.4 1.4 0.2 setosa
## 30 4.7 3.2 1.6 0.2 setosa
## 31 4.8 3.1 1.6 0.2 setosa
## 32 5.0 3.4 1.5 0.4 setosa
## 33 5.2 4.1 1.5 0.1 setosa
## 34 5.3 4.2 1.4 0.2 setosa
## 35 4.9 3.1 1.5 0.2 setosa
## 36 5.0 3.2 1.2 0.2 setosa
## 37 5.5 3.5 1.3 0.2 setosa
## 38 4.9 3.6 1.4 0.1 setosa
## 39 4.4 3.0 1.3 0.2 setosa
## 40 5.1 3.4 1.5 0.2 setosa
## 41 5.0 3.5 1.3 0.3 setosa
## 42 4.5 2.3 1.3 0.3 setosa
## 43 4.4 3.2 1.3 0.2 setosa
## 44 5.0 3.5 1.6 0.6 setosa
## 45 5.1 3.8 1.9 0.4 setosa
## 46 4.4 3.0 1.4 0.3 setosa
## 47 5.1 3.8 1.6 0.2 setosa
## 48 4.6 3.2 1.4 0.2 setosa
## 49 5.3 3.7 1.5 0.2 setosa
## 50 5.0 3.3 1.4 0.2 setosa
## 51 7.0 3.2 4.7 1.4 versicolor
## 52 6.4 3.2 4.5 1.5 versicolor
## 53 6.9 3.1 4.9 1.5 versicolor
## 54 6.1 2.3 4.0 1.3 versicolor
## 55 6.5 2.8 4.6 1.5 versicolor
## 56 5.7 2.8 4.5 1.3 versicolor
## 57 6.3 3.3 4.7 1.6 versicolor
## 58 4.9 2.4 3.3 1.0 versicolor
## 59 6.6 2.9 4.6 1.3 versicolor
## 60 5.2 2.7 3.9 1.4 versicolor
## 61 5.0 2.0 3.5 1.0 versicolor
## 62 5.9 3.0 4.2 1.5 versicolor
## 63 6.0 2.2 4.0 1.0 versicolor
## 64 6.1 2.9 4.7 1.4 versicolor
## 65 5.6 2.9 3.6 1.3 versicolor
## 66 6.7 3.1 4.4 1.4 versicolor
## 67 5.6 3.0 4.5 1.5 versicolor
## 68 5.8 2.7 4.1 1.0 versicolor
## 69 6.2 2.2 4.5 1.5 versicolor
## 70 5.6 2.5 3.9 1.1 versicolor
## 71 5.9 3.2 4.8 1.8 versicolor
## 72 6.1 2.8 4.0 1.3 versicolor
## 73 6.0 2.5 4.9 1.5 versicolor
## 74 6.2 2.8 4.7 1.2 versicolor
## 75 6.1 2.9 4.3 1.3 versicolor
## 76 6.6 3.0 4.4 1.4 versicolor
## 77 6.8 2.8 4.8 1.4 versicolor
## 78 6.7 3.0 5.0 1.7 versicolor
## 79 6.0 2.9 4.5 1.5 versicolor
## 80 5.7 2.6 3.5 1.0 versicolor
## 81 5.5 2.4 3.8 1.1 versicolor
## 82 5.5 2.4 3.7 1.0 versicolor
## 83 5.8 2.7 3.9 1.2 versicolor
## 84 6.0 2.7 5.1 1.6 versicolor
## 85 5.4 3.0 4.5 1.5 versicolor
## 86 6.0 3.4 4.5 1.6 versicolor
## 87 6.7 3.1 4.7 1.5 versicolor
## 88 6.3 2.3 4.4 1.3 versicolor
## 89 5.6 3.0 4.1 1.3 versicolor
## 90 5.5 2.5 4.0 1.3 versicolor
## 91 6.1 2.6 4.4 1.2 versicolor
## 92 6.6 3.0 4.6 1.4 versicolor
## 93 5.8 2.6 4.0 1.2 versicolor
## 94 5.0 2.3 3.3 1.0 versicolor
## 95 5.6 2.7 4.2 1.3 versicolor
## 96 5.5 3.0 4.2 1.2 versicolor
## 97 5.7 2.9 4.2 1.3 versicolor
## 98 6.2 2.9 4.3 1.3 versicolor
## 99 5.1 2.5 3.0 1.1 versicolor
## 100 5.7 2.8 4.1 1.3 versicolor
## 101 6.3 3.3 6.0 2.5 virginica
## 102 5.8 2.7 5.1 1.9 virginica
## 103 7.1 3.0 5.9 2.1 virginica
## 104 6.3 2.9 5.6 1.8 virginica
## 105 6.5 3.0 5.8 2.2 virginica
## 106 7.6 3.0 6.6 2.1 virginica
## 107 4.9 2.5 4.5 1.7 virginica
## 108 7.3 2.9 6.3 1.8 virginica
## 109 6.7 2.5 5.8 1.8 virginica
## 110 7.2 3.6 6.1 2.5 virginica
## 111 6.5 3.2 5.1 2.0 virginica
## 112 6.4 2.7 5.3 1.9 virginica
## 113 6.8 3.0 5.5 2.1 virginica
## 114 5.7 2.5 5.0 2.0 virginica
## 115 5.8 2.8 5.1 2.4 virginica
## 116 6.4 3.2 5.3 2.3 virginica
## 117 6.4 3.0 5.5 1.8 virginica
## 118 7.7 3.8 6.7 2.2 virginica
## 119 7.7 2.6 6.9 2.3 virginica
## 120 6.0 2.2 5.0 1.5 virginica
## 121 6.9 3.2 5.7 2.3 virginica
## 122 5.6 2.8 4.9 2.0 virginica
## 123 7.7 2.8 6.7 2.0 virginica
## 124 6.3 2.7 4.9 1.8 virginica
## 125 6.7 3.3 5.7 2.1 virginica
## 126 7.2 3.2 6.0 1.8 virginica
## 127 6.2 2.8 4.8 1.8 virginica
## 128 6.1 3.0 4.9 1.8 virginica
## 129 6.4 2.8 5.6 2.1 virginica
## 130 7.2 3.0 5.8 1.6 virginica
## 131 7.4 2.8 6.1 1.9 virginica
## 132 7.7 3.8 6.4 2.0 virginica
## 133 6.4 2.8 5.6 2.2 virginica
## 134 6.3 2.8 5.1 1.5 virginica
## 135 6.1 2.6 5.6 1.4 virginica
## 136 7.7 3.0 6.1 2.3 virginica
## 137 6.3 3.4 5.6 2.4 virginica
## 138 6.4 3.1 5.5 1.8 virginica
## 139 6.0 3.0 4.8 1.8 virginica
## 140 6.9 3.1 5.4 2.1 virginica
## 141 6.7 3.1 5.6 2.4 virginica
## 142 6.9 3.1 5.1 2.3 virginica
## 143 5.8 2.7 5.1 1.9 virginica
## 144 6.8 3.2 5.9 2.3 virginica
## 145 6.7 3.3 5.7 2.5 virginica
## 146 6.8 3.0 5.2 2.3 virginica
## 147 6.3 2.5 5.0 1.9 virginica
## 148 6.5 3.0 5.2 2.0 virginica
## 149 6.2 3.4 5.4 2.3 virginica
## 150 5.9 3.0 5.1 1.8 virginicacomplete(mice.data,1)[na_list,'Sepal.Length']## [1] 5.0 5.5 6.2 6.1 5.3 6.6 4.8 4.9 6.1 6.8 6.4 6.1 6.0 7.7 4.4complete(mice.data,2)[na_list,'Sepal.Length']## [1] 5.0 5.6 6.2 5.8 5.1 6.6 4.7 4.8 6.6 6.4 6.4 6.6 6.0 7.4 4.6complete(mice.data,3)[na_list,'Sepal.Length']## [1] 5.1 6.1 6.6 6.0 5.4 6.6 4.7 4.5 6.8 6.5 6.4 5.7 6.2 7.7 4.4##比較各模型預測結果是否穩定(mean接近0,var很小)
diff1 = complete(mice.data,1)[na_list,'Sepal.Length'] - complete(mice.data,2)[na_list,'Sepal.Length']
diff2 = complete(mice.data,1)[na_list,'Sepal.Length'] - complete(mice.data,3)[na_list,'Sepal.Length']
diff3 = complete(mice.data,2)[na_list,'Sepal.Length'] - complete(mice.data,3)[na_list,'Sepal.Length']
mean(c(diff1,diff2,diff3))## [1] -0.03555556var(c(diff1,diff2,diff3))## [1] 0.09234343complete(mice.data,1)## Sepal.Length Sepal.Width Petal.Length Petal.Width Species
## 1 5.1 3.5 1.4 0.2 setosa
## 2 4.9 3.0 1.4 0.2 setosa
## 3 4.9 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.0 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
## 7 4.6 3.4 1.4 0.3 setosa
## 8 5.0 3.4 1.5 0.2 setosa
## 9 4.4 2.9 1.4 0.2 setosa
## 10 4.9 3.1 1.5 0.1 setosa
## 11 5.4 3.7 1.5 0.2 setosa
## 12 4.8 3.4 1.6 0.2 setosa
## 13 4.8 3.0 1.4 0.1 setosa
## 14 4.3 3.0 1.1 0.1 setosa
## 15 5.8 4.0 1.2 0.2 setosa
## 16 5.7 4.4 1.5 0.4 setosa
## 17 5.4 3.9 1.3 0.4 setosa
## 18 5.1 3.5 1.4 0.3 setosa
## 19 5.7 3.8 1.7 0.3 setosa
## 20 5.1 3.8 1.5 0.3 setosa
## 21 5.4 3.4 1.7 0.2 setosa
## 22 5.1 3.7 1.5 0.4 setosa
## 23 4.6 3.6 1.0 0.2 setosa
## 24 5.1 3.3 1.7 0.5 setosa
## 25 4.8 3.4 1.9 0.2 setosa
## 26 4.8 3.0 1.6 0.2 setosa
## 27 5.0 3.4 1.6 0.4 setosa
## 28 5.2 3.5 1.5 0.2 setosa
## 29 5.2 3.4 1.4 0.2 setosa
## 30 4.7 3.2 1.6 0.2 setosa
## 31 4.8 3.1 1.6 0.2 setosa
## 32 5.0 3.4 1.5 0.4 setosa
## 33 5.2 4.1 1.5 0.1 setosa
## 34 5.3 4.2 1.4 0.2 setosa
## 35 4.9 3.1 1.5 0.2 setosa
## 36 5.0 3.2 1.2 0.2 setosa
## 37 5.5 3.5 1.3 0.2 setosa
## 38 4.9 3.6 1.4 0.1 setosa
## 39 4.4 3.0 1.3 0.2 setosa
## 40 5.1 3.4 1.5 0.2 setosa
## 41 5.0 3.5 1.3 0.3 setosa
## 42 4.5 2.3 1.3 0.3 setosa
## 43 4.4 3.2 1.3 0.2 setosa
## 44 5.0 3.5 1.6 0.6 setosa
## 45 5.1 3.8 1.9 0.4 setosa
## 46 4.4 3.0 1.4 0.3 setosa
## 47 5.1 3.8 1.6 0.2 setosa
## 48 4.6 3.2 1.4 0.2 setosa
## 49 5.3 3.7 1.5 0.2 setosa
## 50 5.0 3.3 1.4 0.2 setosa
## 51 7.0 3.2 4.7 1.4 versicolor
## 52 6.4 3.2 4.5 1.5 versicolor
## 53 6.9 3.1 4.9 1.5 versicolor
## 54 6.1 2.3 4.0 1.3 versicolor
## 55 6.5 2.8 4.6 1.5 versicolor
## 56 5.7 2.8 4.5 1.3 versicolor
## 57 6.3 3.3 4.7 1.6 versicolor
## 58 4.9 2.4 3.3 1.0 versicolor
## 59 6.6 2.9 4.6 1.3 versicolor
## 60 5.2 2.7 3.9 1.4 versicolor
## 61 5.0 2.0 3.5 1.0 versicolor
## 62 5.9 3.0 4.2 1.5 versicolor
## 63 6.0 2.2 4.0 1.0 versicolor
## 64 6.1 2.9 4.7 1.4 versicolor
## 65 5.6 2.9 3.6 1.3 versicolor
## 66 6.7 3.1 4.4 1.4 versicolor
## 67 5.6 3.0 4.5 1.5 versicolor
## 68 5.8 2.7 4.1 1.0 versicolor
## 69 6.2 2.2 4.5 1.5 versicolor
## 70 5.6 2.5 3.9 1.1 versicolor
## 71 5.9 3.2 4.8 1.8 versicolor
## 72 6.1 2.8 4.0 1.3 versicolor
## 73 6.0 2.5 4.9 1.5 versicolor
## 74 6.2 2.8 4.7 1.2 versicolor
## 75 6.1 2.9 4.3 1.3 versicolor
## 76 6.6 3.0 4.4 1.4 versicolor
## 77 6.8 2.8 4.8 1.4 versicolor
## 78 6.7 3.0 5.0 1.7 versicolor
## 79 6.0 2.9 4.5 1.5 versicolor
## 80 5.7 2.6 3.5 1.0 versicolor
## 81 5.5 2.4 3.8 1.1 versicolor
## 82 5.5 2.4 3.7 1.0 versicolor
## 83 5.8 2.7 3.9 1.2 versicolor
## 84 6.0 2.7 5.1 1.6 versicolor
## 85 5.4 3.0 4.5 1.5 versicolor
## 86 6.0 3.4 4.5 1.6 versicolor
## 87 6.7 3.1 4.7 1.5 versicolor
## 88 6.3 2.3 4.4 1.3 versicolor
## 89 5.6 3.0 4.1 1.3 versicolor
## 90 5.5 2.5 4.0 1.3 versicolor
## 91 6.1 2.6 4.4 1.2 versicolor
## 92 6.6 3.0 4.6 1.4 versicolor
## 93 5.8 2.6 4.0 1.2 versicolor
## 94 5.0 2.3 3.3 1.0 versicolor
## 95 5.6 2.7 4.2 1.3 versicolor
## 96 5.5 3.0 4.2 1.2 versicolor
## 97 5.7 2.9 4.2 1.3 versicolor
## 98 6.2 2.9 4.3 1.3 versicolor
## 99 5.1 2.5 3.0 1.1 versicolor
## 100 5.7 2.8 4.1 1.3 versicolor
## 101 6.3 3.3 6.0 2.5 virginica
## 102 5.8 2.7 5.1 1.9 virginica
## 103 7.1 3.0 5.9 2.1 virginica
## 104 6.3 2.9 5.6 1.8 virginica
## 105 6.5 3.0 5.8 2.2 virginica
## 106 7.6 3.0 6.6 2.1 virginica
## 107 4.9 2.5 4.5 1.7 virginica
## 108 7.3 2.9 6.3 1.8 virginica
## 109 6.7 2.5 5.8 1.8 virginica
## 110 7.2 3.6 6.1 2.5 virginica
## 111 6.5 3.2 5.1 2.0 virginica
## 112 6.4 2.7 5.3 1.9 virginica
## 113 6.8 3.0 5.5 2.1 virginica
## 114 5.7 2.5 5.0 2.0 virginica
## 115 5.8 2.8 5.1 2.4 virginica
## 116 6.4 3.2 5.3 2.3 virginica
## 117 6.4 3.0 5.5 1.8 virginica
## 118 7.7 3.8 6.7 2.2 virginica
## 119 7.7 2.6 6.9 2.3 virginica
## 120 6.0 2.2 5.0 1.5 virginica
## 121 6.9 3.2 5.7 2.3 virginica
## 122 5.6 2.8 4.9 2.0 virginica
## 123 7.7 2.8 6.7 2.0 virginica
## 124 6.3 2.7 4.9 1.8 virginica
## 125 6.7 3.3 5.7 2.1 virginica
## 126 7.2 3.2 6.0 1.8 virginica
## 127 6.2 2.8 4.8 1.8 virginica
## 128 6.1 3.0 4.9 1.8 virginica
## 129 6.4 2.8 5.6 2.1 virginica
## 130 7.2 3.0 5.8 1.6 virginica
## 131 7.4 2.8 6.1 1.9 virginica
## 132 7.7 3.8 6.4 2.0 virginica
## 133 6.4 2.8 5.6 2.2 virginica
## 134 6.3 2.8 5.1 1.5 virginica
## 135 6.1 2.6 5.6 1.4 virginica
## 136 7.7 3.0 6.1 2.3 virginica
## 137 6.3 3.4 5.6 2.4 virginica
## 138 6.4 3.1 5.5 1.8 virginica
## 139 6.0 3.0 4.8 1.8 virginica
## 140 6.9 3.1 5.4 2.1 virginica
## 141 6.7 3.1 5.6 2.4 virginica
## 142 6.9 3.1 5.1 2.3 virginica
## 143 5.8 2.7 5.1 1.9 virginica
## 144 6.8 3.2 5.9 2.3 virginica
## 145 6.7 3.3 5.7 2.5 virginica
## 146 6.8 3.0 5.2 2.3 virginica
## 147 6.3 2.5 5.0 1.9 virginica
## 148 6.5 3.0 5.2 2.0 virginica
## 149 6.2 3.4 5.4 2.3 virginica
## 150 5.9 3.0 5.1 1.8 virginica