package:ggplot2
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')
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)
library('ggplot2')
g <- ggplot(cdc,aes(x=height,y=weight))
g+geom_point(aes(col=exerany))
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 <- ggplot(cdc,aes(x=genhlth,fill=gender))
g+geom_bar()
g <- ggplot(cdc,aes(x=genhlth))
g+geom_bar(aes(fill=gender))
g_bygrp <- ggplot(cdc,aes(x=exerany,fill=genhlth))
g_bygrp + geom_bar()
g_bygrp + geom_bar(position='stack')
g_bygrp + geom_bar(position='dodge')
g_bygrp + geom_bar(position='identity')
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,fill=genhlth)) + geom_bar() + coord_polar(theta = 'y')
precounted = 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 677
ggplot(precounted,aes(x=genhlth,y=Freq))+ geom_bar(stat='identity')
g <- ggplot(cdc,aes(x=genhlth,y=height))
g + geom_boxplot()
#facet
g <- ggplot(cdc,aes(x=weight))
g2 = g+ geom_histogram()+facet_wrap(~genhlth)
g2
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
ggsave(filename='./your_file_name.png',plot = g2)
## Saving 7 x 5 in image
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
data(iris)
library(ggplot2)
g2 = ggplot(iris,aes(x=Sepal.Length,y=Sepal.Width))
g2+geom_point(aes(col=Species,size=Petal.Width))
# install.packages('ggcorrplot')
library(ggcorrplot)
iris_cor = cor(iris[-5])
ggcorrplot(iris_cor,method="circle",lab = TRUE,lab_size = 3)
# install.packages("ggrepel")
library('ggrepel')
g2 = ggplot(iris,aes(x=Sepal.Length,y=Sepal.Width))
g2+geom_point(aes(col=Species))+geom_text(aes(label=1:150),size=3)
g2+geom_point(aes(col=Species,size=Petal.Width))+geom_text_repel(aes(label=1:150),size=2)
資料預處理
把dt轉換成日期型態
#getwd()
setwd('~/lecture/riii')
# 以as.POSIXct()轉換
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)" ...
head(appledaily$dt)
## [1] "2016年04月15日14:32" "2016年04月15日14:32" "2016年04月15日14:31"
## [4] "2016年04月15日14:30" "2016年04月15日14:28" "2016年04月15日14:28"
dt = as.POSIXct(appledaily$dt,format = '%Y年%m月%d日%H:%M')
appledaily$dt = dt
head(appledaily$dt)
## [1] "2016-04-15 14:32:00 CST" "2016-04-15 14:32:00 CST"
## [3] "2016-04-15 14:31:00 CST" "2016-04-15 14:30:00 CST"
## [5] "2016-04-15 14:28:00 CST" "2016-04-15 14:28:00 CST"
# Date 和 POSIX 差別
# Date類別表示 "日期", 表示距離1970/1/1多少天, 單位為天
# POSIX類別表示 "時間", 表示距離1970/1/1多少秒, 單位為秒
now = Sys.time()
class(now)
## [1] "POSIXct" "POSIXt"
unclass(now)
## [1] 1541051261
nowDate = as.Date(now)
class(nowDate)
## [1] "Date"
unclass(nowDate)
## [1] 17836
#比較as.POSIXct() 和 as.POSIXlt
t1 = as.POSIXct(appledaily$dt,format = '%Y年%m月%d日%H:%M')
class(t1)
## [1] "POSIXct" "POSIXt"
head(unclass(t1))
## [1] 1460701920 1460701920 1460701860 1460701800 1460701680 1460701680
t2 = as.POSIXlt(appledaily$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
## [1] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [12] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [23] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [34] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [45] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [56] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [67] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [78] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [89] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [100] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [111] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [122] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [133] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [144] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [155] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [166] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [177] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [188] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [199] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [210] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [221] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [232] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [243] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [254] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [265] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [276] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [287] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [298] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [309] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [320] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [331] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [342] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [353] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [364] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [375] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [386] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [397] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [408] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [419] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [430] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [441] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [452] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [463] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [474] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [485] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [496] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [507] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [518] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [529] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [540] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [551] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [562] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [573] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [584] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [595] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [606] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [617] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [628] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [639] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [650] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [661] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [672] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [683] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [694] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [705] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [716] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [727] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [738] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [749] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [760] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [771] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [782] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [793] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [804] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [815] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [826] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [837] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [848] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [859] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [870] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [881] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [892] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [903] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [914] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
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## [936] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [947] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [958] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [969] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [980] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [991] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1002] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1013] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1024] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1035] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
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## [1068] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
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## [1101] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1112] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
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## [1167] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1178] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1189] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1200] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1211] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1222] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
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## [1255] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1266] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1277] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1288] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1299] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
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## [1321] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
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## [1365] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1376] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1387] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1398] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1409] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1420] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1431] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1442] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1453] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1464] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
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## [1486] 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800 28800
## [1497] 28800 28800 28800 28800
##
## attr(,"tzone")
## [1] "" "CST" "CDT"
#difftime
Sys.time() - appledaily$dt[1]
## Time difference of 929.9692 days
#convert timestamp to datetime
tm = as.integer(unclass(as.POSIXct(Sys.time())))
as.POSIXct(tm,origin='1970-01-01',tz = 'Japan')
## [1] "2018-11-01 14:47:41 JST"
as.POSIXct(tm,origin='1970-01-01',tz = 'Asia/Taipei')
## [1] "2018-11-01 13:47:41 CST"
lubridate package
library(lubridate)
##
## Attaching package: 'lubridate'
## The following object is masked from 'package:base':
##
## date
# Extracting information
now_date = now()
year(now_date)
## [1] 2018
month(now_date,label=T)
## [1] 11
## Levels: 1 < 2 < 3 < 4 < 5 < 6 < 7 < 8 < 9 < 10 < 11 < 12
day(now_date)
## [1] 1
hour(now_date)
## [1] 13
minute(now_date)
## [1] 47
second(now_date)
## [1] 41.63885
wday(now_date,label=T)
## [1] 四
## Levels: 日 < 一 < 二 < 三 < 四 < 五 < 六
# Parsing dates and times
ymd(20181025)
## [1] "2018-10-25"
mdy(10252018)
## [1] "2018-10-25"
dmy(25102018)
## [1] "2018-10-25"
ymd('2018/10/25')
## [1] "2018-10-25"
ymd('2018.10.25')
## [1] "2018-10-25"
ymd('2018.10.25')
## [1] "2018-10-25"
ymd_hm('2018/10/25 16:49',tz='Asia/Taipei')
## [1] "2018-10-25 16:49:00 CST"
#ymd_hm('2018/10/25 16:49',tz='America/Los_Angeles')
with_tz(ymd_hm('2018/10/25 16:49',tz='Asia/Taipei'),tzone ='America/New_York' )
## [1] "2018-10-25 04:49:00 EDT"
#ymd_hm(appledaily$dt)
擷取點擊數中數值部分
#方法一：利用sub函數取代
clicked = sub('\\)','',sub('人氣\\(','',appledaily$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)
?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
#grep() ==> return index
test_str = c('abcd','bcd','cde')
grep('a',test_str)
## [1] 1
test_str[grep('a',test_str)]
## [1] "abcd"
appledaily[grep('中國',appledaily$title[1:5]),]
## content
## 2 \n 澳洲一名就讀雪梨大學的華裔博士生，日前公開一段燒毀中國護照的影片，還大肆批評留澳學生是一群「留學豬」。消息傳出後，這名博士生立刻被大陸網友起底。 據悉，該博士生姓名為吳維，正在雪梨大學攻讀金融學博士，同時在該校任教，並於去年加入澳洲籍。該博士生的微博名為「Pekojima」，該賬號從2012年開始一直處於活躍狀態。他稱自己為「澳洲公民」、「雪梨大學商學院全獎」、「金融系 Ph.D.」、「本系必修課head tutor」。但此微博現已被刪除。他也曾在微博上諷刺中國留學生的智商，稱他們「要花錢找論文代寫」，並侮辱留學生為「留學豬」。 英國《每日郵報》報導稱，雪梨大學已開始調查他焚燒中國護照一事。（大陸中心／綜合報導） 更多國際新聞請進蘋果繞著地球爆 \n 翻攝網路翻攝網路 \n googletag.cmd.push(function() {googletag.display('teadstv');})\n googletag.cmd.push(function() {googletag.display('goldenhorse');})\n googletag.cmd.push(function() {googletag.display('textlink');})\n 有話要說 投稿「即時論壇」\n
## title dt category clicked
## 2 拿到澳洲護照後 他放火燒中國護照 2016-04-15 14:32:00 國際 0
#grepl() ==> return boolean
grepl('a',test_str)
## [1] TRUE FALSE FALSE
test_str[grepl('a',test_str)]
## [1] "abcd"
#strsplit() ==> 字串分割
splited = strsplit('abc-def','-')
splited
## [[1]]
## [1] "abc" "def"
class(splited)
## [1] "list"
unlist(splited)
## [1] "abc" "def"
#substring() ==> 取得部份字串
test_s = 'abcdef'
nchar(test_s)
## [1] 6
substring(test_s,2,nchar('abcdef')-1)
## [1] "bcde"
替換類別名稱
names(table(appledaily$category))
## [1] "3C" "財經"
## [3] "地產" "動物"
## [5] "國際" "國際\",\"LA\",\"SF\",\"NY\",\"US"
## [7] "國際\",\"SF\",\"US" "論壇"
## [9] "社會" "生活"
## [11] "時尚" "搜奇"
## [13] "體育" "娛樂"
## [15] "正妹" "政治"
appledaily$category[appledaily$category == "國際\",\"LA\",\"SF\",\"NY\",\"US"] = '國際'
appledaily$category[appledaily$category == "國際\",\"SF\",\"US"] = '國際'
names(table(appledaily$category))
## [1] "3C" "財經" "地產" "動物" "國際" "論壇" "社會" "生活" "時尚" "搜奇"
## [11] "體育" "娛樂" "正妹" "政治"
儲存處理過的檔案
#applenews = appledaily
#save(applenews,file = 'Statistics/applenews.RData')
遺失值處理(missing value)
applenews = appledaily
na_list = sample(1:nrow(applenews),size=30)
applenews[na_list,'clicked'] = NA
#找尋遺失值
is.na(applenews)
## content title dt category clicked
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## 923 FALSE FALSE FALSE FALSE TRUE
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## 961 FALSE FALSE FALSE FALSE TRUE
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## 978 FALSE FALSE FALSE FALSE FALSE
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## 999 FALSE FALSE FALSE FALSE FALSE
## 1000 FALSE FALSE FALSE FALSE TRUE
## 1001 FALSE FALSE FALSE FALSE FALSE
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## 1024 FALSE FALSE FALSE FALSE FALSE
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## 1120 FALSE FALSE FALSE FALSE FALSE
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## 1189 FALSE FALSE FALSE FALSE TRUE
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## 1199 FALSE FALSE FALSE FALSE FALSE
## 1200 FALSE FALSE FALSE FALSE FALSE
## 1201 FALSE FALSE FALSE FALSE FALSE
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## 1250 FALSE FALSE FALSE FALSE TRUE
## 1251 FALSE FALSE FALSE FALSE FALSE
## 1252 FALSE FALSE FALSE FALSE TRUE
## 1253 FALSE FALSE FALSE FALSE FALSE
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## 1294 FALSE FALSE FALSE FALSE FALSE
## 1295 FALSE FALSE FALSE FALSE TRUE
## 1296 FALSE FALSE FALSE FALSE FALSE
## 1297 FALSE FALSE FALSE FALSE FALSE
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## 1300 FALSE FALSE FALSE FALSE FALSE
## 1301 FALSE FALSE FALSE FALSE FALSE
## 1302 FALSE FALSE FALSE FALSE FALSE
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## 1305 FALSE FALSE FALSE FALSE FALSE
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## 1320 FALSE FALSE FALSE FALSE FALSE
## 1321 FALSE FALSE FALSE FALSE FALSE
## 1322 FALSE FALSE FALSE FALSE FALSE
## 1323 FALSE FALSE FALSE FALSE TRUE
## 1324 FALSE FALSE FALSE FALSE FALSE
## 1325 FALSE FALSE FALSE FALSE FALSE
## 1326 FALSE FALSE FALSE FALSE FALSE
## 1327 FALSE FALSE FALSE FALSE FALSE
## 1328 FALSE FALSE FALSE FALSE TRUE
## 1329 FALSE FALSE FALSE FALSE FALSE
## 1330 FALSE FALSE FALSE FALSE FALSE
## 1331 FALSE FALSE FALSE FALSE FALSE
## 1332 FALSE FALSE FALSE FALSE FALSE
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## 1337 FALSE FALSE FALSE FALSE FALSE
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## 1339 FALSE FALSE FALSE FALSE FALSE
## 1340 FALSE FALSE FALSE FALSE FALSE
## 1341 FALSE FALSE FALSE FALSE FALSE
## 1342 FALSE FALSE FALSE FALSE FALSE
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## 1344 FALSE FALSE FALSE FALSE FALSE
## 1345 FALSE FALSE FALSE FALSE TRUE
## 1346 FALSE FALSE FALSE FALSE FALSE
## 1347 FALSE FALSE FALSE FALSE FALSE
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## 1349 FALSE FALSE FALSE FALSE FALSE
## 1350 FALSE FALSE FALSE FALSE FALSE
## 1351 FALSE FALSE FALSE FALSE FALSE
## 1352 FALSE FALSE FALSE FALSE FALSE
## 1353 FALSE FALSE FALSE FALSE FALSE
## 1354 FALSE FALSE FALSE FALSE FALSE
## 1355 FALSE FALSE FALSE FALSE FALSE
## 1356 FALSE FALSE FALSE FALSE FALSE
## 1357 FALSE FALSE FALSE FALSE FALSE
## 1358 FALSE FALSE FALSE FALSE FALSE
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## 1360 FALSE FALSE FALSE FALSE FALSE
## 1361 FALSE FALSE FALSE FALSE FALSE
## 1362 FALSE FALSE FALSE FALSE FALSE
## 1363 FALSE FALSE FALSE FALSE FALSE
## 1364 FALSE FALSE FALSE FALSE FALSE
## 1365 FALSE FALSE FALSE FALSE FALSE
## 1366 FALSE FALSE FALSE FALSE FALSE
## 1367 FALSE FALSE FALSE FALSE FALSE
## 1368 FALSE FALSE FALSE FALSE FALSE
## 1369 FALSE FALSE FALSE FALSE FALSE
## 1370 FALSE FALSE FALSE FALSE FALSE
## 1371 FALSE FALSE FALSE FALSE FALSE
## 1372 FALSE FALSE FALSE FALSE FALSE
## 1373 FALSE FALSE FALSE FALSE FALSE
## 1374 FALSE FALSE FALSE FALSE FALSE
## 1375 FALSE FALSE FALSE FALSE FALSE
## 1376 FALSE FALSE FALSE FALSE FALSE
## 1377 FALSE FALSE FALSE FALSE FALSE
## 1378 FALSE FALSE FALSE FALSE FALSE
## 1379 FALSE FALSE FALSE FALSE FALSE
## 1380 FALSE FALSE FALSE FALSE FALSE
## 1381 FALSE FALSE FALSE FALSE FALSE
## 1382 FALSE FALSE FALSE FALSE FALSE
## 1383 FALSE FALSE FALSE FALSE FALSE
## 1384 FALSE FALSE FALSE FALSE TRUE
## 1385 FALSE FALSE FALSE FALSE FALSE
## 1386 FALSE FALSE FALSE FALSE FALSE
## 1387 FALSE FALSE FALSE FALSE FALSE
## 1388 FALSE FALSE FALSE FALSE FALSE
## 1389 FALSE FALSE FALSE FALSE FALSE
## 1390 FALSE FALSE FALSE FALSE FALSE
## 1391 FALSE FALSE FALSE FALSE FALSE
## 1392 FALSE FALSE FALSE FALSE FALSE
## 1393 FALSE FALSE FALSE FALSE FALSE
## 1394 FALSE FALSE FALSE FALSE FALSE
## 1395 FALSE FALSE FALSE FALSE FALSE
## 1396 FALSE FALSE FALSE FALSE FALSE
## 1397 FALSE FALSE FALSE FALSE FALSE
## 1398 FALSE FALSE FALSE FALSE FALSE
## 1399 FALSE FALSE FALSE FALSE TRUE
## 1400 FALSE FALSE FALSE FALSE TRUE
## 1401 FALSE FALSE FALSE FALSE FALSE
## 1402 FALSE FALSE FALSE FALSE FALSE
## 1403 FALSE FALSE FALSE FALSE FALSE
## 1404 FALSE FALSE FALSE FALSE FALSE
## 1405 FALSE FALSE FALSE FALSE FALSE
## 1406 FALSE FALSE FALSE FALSE FALSE
## 1407 FALSE FALSE FALSE FALSE FALSE
## 1408 FALSE FALSE FALSE FALSE FALSE
## 1409 FALSE FALSE FALSE FALSE FALSE
## 1410 FALSE FALSE FALSE FALSE FALSE
## 1411 FALSE FALSE FALSE FALSE FALSE
## 1412 FALSE FALSE FALSE FALSE FALSE
## 1413 FALSE FALSE FALSE FALSE FALSE
## 1414 FALSE FALSE FALSE FALSE FALSE
## 1415 FALSE FALSE FALSE FALSE FALSE
## 1416 FALSE FALSE FALSE FALSE FALSE
## 1417 FALSE FALSE FALSE FALSE FALSE
## 1418 FALSE FALSE FALSE FALSE FALSE
## 1419 FALSE FALSE FALSE FALSE FALSE
## 1420 FALSE FALSE FALSE FALSE FALSE
## 1421 FALSE FALSE FALSE FALSE FALSE
## 1422 FALSE FALSE FALSE FALSE TRUE
## 1423 FALSE FALSE FALSE FALSE FALSE
## 1424 FALSE FALSE FALSE FALSE FALSE
## 1425 FALSE FALSE FALSE FALSE FALSE
## 1426 FALSE FALSE FALSE FALSE FALSE
## 1427 FALSE FALSE FALSE FALSE FALSE
## 1428 FALSE FALSE FALSE FALSE FALSE
## 1429 FALSE FALSE FALSE FALSE FALSE
## 1430 FALSE FALSE FALSE FALSE FALSE
## 1431 FALSE FALSE FALSE FALSE FALSE
## 1432 FALSE FALSE FALSE FALSE FALSE
## 1433 FALSE FALSE FALSE FALSE FALSE
## 1434 FALSE FALSE FALSE FALSE FALSE
## 1435 FALSE FALSE FALSE FALSE FALSE
## 1436 FALSE FALSE FALSE FALSE FALSE
## 1437 FALSE FALSE FALSE FALSE FALSE
## 1438 FALSE FALSE FALSE FALSE FALSE
## 1439 FALSE FALSE FALSE FALSE FALSE
## 1440 FALSE FALSE FALSE FALSE FALSE
## 1441 FALSE FALSE FALSE FALSE FALSE
## 1442 FALSE FALSE FALSE FALSE FALSE
## 1443 FALSE FALSE FALSE FALSE FALSE
## 1444 FALSE FALSE FALSE FALSE FALSE
## 1445 FALSE FALSE FALSE FALSE FALSE
## 1446 FALSE FALSE FALSE FALSE FALSE
## 1447 FALSE FALSE FALSE FALSE FALSE
## 1448 FALSE FALSE FALSE FALSE FALSE
## 1449 FALSE FALSE FALSE FALSE FALSE
## 1450 FALSE FALSE FALSE FALSE FALSE
## 1451 FALSE FALSE FALSE FALSE FALSE
## 1452 FALSE FALSE FALSE FALSE FALSE
## 1453 FALSE FALSE FALSE FALSE FALSE
## 1454 FALSE FALSE FALSE FALSE FALSE
## 1455 FALSE FALSE FALSE FALSE FALSE
## 1456 FALSE FALSE FALSE FALSE FALSE
## 1457 FALSE FALSE FALSE FALSE FALSE
## 1458 FALSE FALSE FALSE FALSE FALSE
## 1459 FALSE FALSE FALSE FALSE FALSE
## 1460 FALSE FALSE FALSE FALSE FALSE
## 1461 FALSE FALSE FALSE FALSE FALSE
## 1462 FALSE FALSE FALSE FALSE FALSE
## 1463 FALSE FALSE FALSE FALSE FALSE
## 1464 FALSE FALSE FALSE FALSE FALSE
## 1465 FALSE FALSE FALSE FALSE FALSE
## 1466 FALSE FALSE FALSE FALSE FALSE
## 1467 FALSE FALSE FALSE FALSE FALSE
## 1468 FALSE FALSE FALSE FALSE FALSE
## 1469 FALSE FALSE FALSE FALSE FALSE
## 1470 FALSE FALSE FALSE FALSE FALSE
## 1471 FALSE FALSE FALSE FALSE FALSE
## 1472 FALSE FALSE FALSE FALSE FALSE
## 1473 FALSE FALSE FALSE FALSE FALSE
## 1474 FALSE FALSE FALSE FALSE FALSE
## 1475 FALSE FALSE FALSE FALSE FALSE
## 1476 FALSE FALSE FALSE FALSE FALSE
## 1477 FALSE FALSE FALSE FALSE FALSE
## 1478 FALSE FALSE FALSE FALSE FALSE
## 1479 FALSE FALSE FALSE FALSE FALSE
## 1480 FALSE FALSE FALSE FALSE FALSE
## 1481 FALSE FALSE FALSE FALSE FALSE
## 1482 FALSE FALSE FALSE FALSE FALSE
## 1483 FALSE FALSE FALSE FALSE FALSE
## 1484 FALSE FALSE FALSE FALSE FALSE
## 1485 FALSE FALSE FALSE FALSE FALSE
## 1486 FALSE FALSE FALSE FALSE FALSE
## 1487 FALSE FALSE FALSE FALSE FALSE
## 1488 FALSE FALSE FALSE FALSE FALSE
## 1489 FALSE FALSE FALSE FALSE FALSE
## 1490 FALSE FALSE FALSE FALSE FALSE
## 1491 FALSE FALSE FALSE FALSE FALSE
## 1492 FALSE FALSE FALSE FALSE FALSE
## 1493 FALSE FALSE FALSE FALSE FALSE
## 1494 FALSE FALSE FALSE FALSE FALSE
## 1495 FALSE FALSE FALSE FALSE FALSE
## 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 FALSE
sum(is.na(applenews$clicked))
## [1] 30
#移除missing value
complete.cases(applenews)
## [1] FALSE 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 FALSE 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 FALSE TRUE TRUE TRUE TRUE
## [78] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [89] TRUE TRUE 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 FALSE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [133] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE 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 TRUE TRUE TRUE TRUE TRUE
## [188] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [199] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [210] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [221] TRUE TRUE TRUE TRUE 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 TRUE 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 FALSE TRUE TRUE TRUE TRUE TRUE TRUE
## [287] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [298] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [309] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [320] TRUE TRUE TRUE TRUE TRUE TRUE 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 TRUE 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 FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE 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 TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [485] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [496] TRUE TRUE 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 FALSE TRUE TRUE TRUE TRUE
## [529] TRUE TRUE TRUE TRUE TRUE FALSE 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 FALSE TRUE TRUE TRUE TRUE
## [584] TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE
## [595] TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE 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 TRUE
## [639] FALSE 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 TRUE
## [672] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [683] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [694] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [705] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [716] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [727] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [738] TRUE TRUE TRUE TRUE FALSE 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 TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [793] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [804] TRUE TRUE TRUE TRUE 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 TRUE
## [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 FALSE FALSE
## [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 FALSE 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 FALSE 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] TRUE 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 TRUE TRUE TRUE TRUE TRUE
## [1178] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1189] FALSE TRUE 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 FALSE TRUE FALSE 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 FALSE TRUE TRUE TRUE
## [1299] TRUE 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 FALSE TRUE TRUE TRUE TRUE FALSE TRUE TRUE TRUE
## [1332] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1343] TRUE TRUE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1354] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1365] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1376] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE FALSE TRUE TRUE
## [1387] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1398] TRUE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1409] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
## [1420] TRUE TRUE FALSE 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 TRUE
rm.data <- applenews[complete.cases(applenews), ]
str(rm.data)
## 'data.frame': 1470 obs. of 5 variables:
## $ content : chr "\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__ "\n 俄羅斯夫妻Murad和Nataly，因牽手背景照「Follow Me To」聞名，昨天他們受"| __truncated__ ...
## $ title : chr "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" "全球最閃牽手夫妻 絕美禮服出自台灣…" ...
## $ dt : POSIXct, format: "2016-04-15 14:32:00" "2016-04-15 14:31:00" ...
## $ category: chr "國際" "地產" "國際" "時尚" ...
## $ clicked : int 0 0 0 311 24 20 314 27 308 1076 ...
#以全體平均填補
applenews = appledaily
na_list = sample(1:nrow(applenews),30)
applenews[na_list,'clicked'] = NA
mean_clicked = as.integer(mean(applenews$clicked,na.rm=T))
applenews$clicked[is.na(applenews$clicked)] = mean_clicked
sum(is.na(applenews$clicked))
## [1] 0
#以類別平均填補
applenews = appledaily
na_list = sample(1:nrow(applenews),30)
applenews[na_list,'clicked'] = NA
cat_means = tapply(applenews$clicked,applenews$category,function(e){as.integer(mean(e,na.rm=T))})
cat_means
## 3C 財經 地產 動物 國際 論壇 社會 生活 時尚 搜奇 體育 娛樂
## 3954 5109 6900 4741 8640 5722 29187 11421 6855 12151 16996 31279
## 正妹 政治
## 84118 12049
for(i in 1:length(cat_means)){
applenews[applenews$category == names(cat_means)[i] & is.na(applenews$clicked),'clicked'] = cat_means[i]
}
sum(is.na(applenews$clicked))
## [1] 0
mice
#install.packages('mice')
library(mice)
## Loading required package: lattice
##
## Attaching package: 'mice'
## The following objects are masked from 'package:base':
##
## cbind, rbind
data(iris)
na_list = sample(1:nrow(iris),15)
iris[na_list,'Sepal.Length'] = NA
mice.data <- mice(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.Length
complete(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 4.7 3.2 1.3 0.2 setosa
## 4 4.6 3.1 1.5 0.2 setosa
## 5 5.1 3.6 1.4 0.2 setosa
## 6 5.4 3.9 1.7 0.4 setosa
## 7 4.9 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 5.4 3.4 1.9 0.2 setosa
## 26 5.0 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 5.4 3.4 1.5 0.4 setosa
## 33 5.2 4.1 1.5 0.1 setosa
## 34 5.5 4.2 1.4 0.2 setosa
## 35 4.4 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 4.8 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 6.5 3.1 4.9 1.5 versicolor
## 54 5.5 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 6.3 2.5 4.9 1.5 versicolor
## 74 6.1 2.8 4.7 1.2 versicolor
## 75 6.4 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 5.6 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 5.5 2.6 4.4 1.2 versicolor
## 92 6.1 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 6.0 2.7 4.2 1.3 versicolor
## 96 5.7 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 6.5 2.9 5.6 1.8 virginica
## 105 6.7 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 5.7 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 6.5 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 5.5 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 7.3 2.8 6.1 1.9 virginica
## 132 7.9 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 5.7 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 6.5 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 6.7 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
complete(mice.data,1)[na_list,'Sepal.Length']
## [1] 5.5 6.7 5.7 6.5 5.4 4.9 5.6 6.5 5.1 6.0 5.7 6.0 7.3 4.4 6.5
complete(mice.data,2)[na_list,'Sepal.Length']
## [1] 6.3 7.2 6.0 6.7 5.0 5.0 5.8 6.7 5.1 5.6 6.0 5.7 7.7 4.6 6.2
complete(mice.data,3)[na_list,'Sepal.Length']
## [1] 5.8 6.3 4.9 6.8 5.0 5.0 6.2 6.9 5.5 5.8 6.3 5.5 7.7 4.9 6.2
##比較各模型預測結果是否穩定(mean接近0,var很小)
diff = complete(mice.data,1)[na_list,'Sepal.Length'] - complete(mice.data,2)[na_list,'Sepal.Length']
mean(diff)
## [1] -0.12
var(diff)
## [1] 0.1202857